5 International Conference on Global Optimization...

5th International Conference on Global Optimization and Its Applications 2016 (ICoGOIA 2016)

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5th International Conference on Global Optimization and Its Applications 2016

(ICoGOIA 2016)

BANDUNG, INDONESIA 21-22 OCTOBER 2016

HOST:

ORGANISER:

PARTNERS UNIVERSITY: PARTNER ORGANIZATION:


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Foreword Honorary Advisor IPN Education Group In the name of Allah, the most Gracious and the most Merciful. Assalamualaikum w.b.t., On behalf the IPN Education Group, it is indeed privilege

and honour to welcome all scholars, researchers, professionals and academicians to 5th International Conference on Global Optimization and Its Applications 2016 (ICoGOIA 2016)which be held in Tebu Hotel, Bandung, Indonesia, 20-21 October 2016. The 5th ICoGOIA 2016 is hosted by Universitas Padjadjaran (UNPAD) and Co-organised by IPN Education Group. This conference is also supported by Universiti Tun Hussein Onn Malaysia (UTHM), Universiti Malaysia Perlis (UniMAP), Universiti Sultan Zainal Abidin Malaysia (Unisza), Universitas Langlangbuana (Unla), Universiti Malaysia Pahang (UMP), Indonesia Operations Research Association (IORA). This 5th ICoGOIA 2016 continues to bring together academics, researchers and professionals, whom are experts in Global Optimization and Its Applications to explore the potential of optimization from theoretical and practical perspectives. I wish to take this opportunity to thanks all the participants UNPAD and partners for their commitment to make this conference a success. Thank You.

Prof. Dr. Abdel Rahman Mohammad Said Al Tawaha Honorary Advisor IPN Education Group 5th ICoGOIA 2016, Bandung, Indonesia


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ANNOUNCEMENT

All accepted papers will be published in:

International Journal of Advance and Applied Science (IJAAS) (ISI/Thomson Reuters Web of Science Core Collection) (online issue) (ISSN:2313-626X).

Journal of Informatics and Mathematical Sciences (JIMS) (ISI Web Of Science Core Collection journal) (online issue) ISSN: 0974-875X

International Journal of Engineering and Technology (IJET) (Scopus journal) (online issue) (ISSN: 0975-4024).

Global Journal of Pure and Applied Mathematics (GJPAM) (Scopus Journal) (ISSN: 0973-1768)(online issue).

International Review of Management and Marketing (Scopus journal) (online issue) (ISSN of 2146-4405). One Best Presenter Award will be selected from each oral session. The Certificate for Best Presenter award will be awarded after presentation session.


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KEYNOTE SPEAKER:

Prof. Dr. Sudradjat Supian, MS Dean of FMIPA Padjadjaran University

President of Indonesia Operations Research Association (IORA)

Abstract:

Mathematical Model Palatine Rugae Subras Deuteromelayu in Odontology Forensic

A mathematical model is a description of a system that uses mathematical concepts and language. The process of developing a mathematical model called mathematical modeling. Mathematical models are used not only in the natural sciences and engineering disciplines), but also in social sciences (such as economics, psychology, sociology and political science, medical and dentistry) used a mathematical model that is most widespread. A model may help to explain the system and to study the effects of different components, and to make predictions about the behavior. Mathematical models can take many forms, including but not limited to dynamical systems, statistical models, differential equations, or game theory models. In general, the mathematical model can include logical models, as far as logic is taken as a part of mathematics. This research design a mathematical model of the palatine rugae subras deuteromelayu with a mathematical model approach fingerprints. Rugae palatine is an organ that has the unique properties of each individual person, palatine rugae can be analyzed through the number, length, direction, and shape. The uniqueness of every shape and pattern of the palatine rugae can be used as the basis for the identification of individuals


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LIST OF THE CONFERENCE COMMITTEE 5th ICOGOIA 2016 Conferences Bandung, Indonesia, Patron Prof. Dr. Sudradjat S. (Unpad-Indonesia)

Conference Chairman Dr. Sukono, MM., M.Si(Unpad-Indonesia)

Conference Secretary Yuyun Hidayat, MSIE (Unpad-Indonesia) Conference Member 1. Ema Carnia (Unpad-Indonesia) 2. Dr. Endang Rusyaman (Unpad – Indonesia) 3. Dr. Nursanti Angriani (Unpad – Indonesia) 4. Sri Purwani, M.Sc., Ph.D. (Unpad-Indonesia) 5. Riaman, M.Si. (Unpad-Indonesia) 6. Endang Soeryana Hasbullah (Unpad-Indonesia) 7. Mochamad Suyudi (Unpad-Indonesia) 8. Edy Jauhary (Unpad-Indonesia) 9. Julita Nahar, MT. (unpad-Indonesia) Scientific Committee Dr. Sukono (Unpad-Indonesia) Dr. Ema Carnia (Unpad-Indonesia) Dr. Endang Rusyaman (Unpad – Indonesia) Dr. Nursanti Angriani (Unpad – Indonesia) Rohaizan Ramlan (UTHM-Malaysia) Dr. Nor Aziati Abd Hamid (UTHM-Malaysia) Yunos Ngadiman (UTHM-Malaysia) Endang Soeryana Hasbullah (Unpad-Indonesia) Dr. Nurfadhlina binti Abdul Halim (UMT-Malaysia) Associate Prof. Dr. Saiful Bahri (UniSZA-Malaysia)

Associate Prof. Dr. Adibah Bin Suib (UiTM - Malaysia) Dr. Ing. M. Hendayun (Unla-Indonesia) Dr. Hennie Hosniah (Unla-Indonesia) Hadi Prasetyo Utomo (Unla-Indonesia) Estiyan Dwi Priyoko (Unla-Indonesia) Dr. Fazeeda Mohamad (UMP-Malaysia) Dr. Puteri Fadzline Muhamad Tamyez (UMP-Malaysia) Dr. Shahryar Sorooshian (UMP- Malaysia) Dr. Fatimah Mahmud (UMP-Malaysia)

Invited Speaker Prof. Dr. A Thavaneswaran (UM-Canada) Prof. Dr. Sudradjat S. (Unpad-Indonesia) Prof. Dr. Asep K. Supriatna (Unpad-Indonesia) Dr. Sukono (Unpad-Indonesia)

Prof. Dr. Ismail Mohd (UniMAP – Malaysia) Prof. Dr. Md Yazid (UMT – Malaysia) Prof. Dr. Abdul Talib Bon (UTHM-Malaysia) Dr. Mustafa Man (UMT – Malaysia)


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Dr. Admi Syarif (Unila – Indonesia) Dr. Wamiliana (Unila – Indonesia) Dr. Hennie Husniah (Unla – Indonesia) Assoc. Prof. Dr. Tengku Azahar (UniKL – Malaysia) Prof. Dr. Nik Hashim (UMT-Malaysia) Dr. Fatimah Mahmud (UMP – Malaysia) Rohaizan Ramlan (UTHM – Malaysia) Dr. Fazeeda Mohamad (UMP-Malaysia) Associate Prof. Dr. Saiful Bahri (UniSZA-Malaysia)

Prof. Dr. Mustafa Mamat (UNISZA – Malaysia) Assoc. Prof. Dr. Jumat Sulaiman (UMS-Malaysia) Assoc. Prof. Dr. Ibrahim Mohamed (UM-Malaysia) Prof. Dr. Zainal Abdul Aziz (UTM – Malaysia) Assoc. Prof. Anton A. Kamil (USM-Malaysia) Dr. Rieske Hardianti (ITB-Indonesia) Dr. Cheng Jack Kie (UMP-Malaysia) Dr. Puteri Fadzline Muhamad Tamyez (UMP-Malaysia) Associate Prof. Dr. Adibah Bin Suib (UiTM, Malaysia)

INSTRUCTION FOR ORAL PRESENTATION

Devices Provided by the Conference Organizer:

Laptop (with MS-Office & Adobe Reader) Projector & Screen Laser Sticks

Materials Provided by the Presenters:

PowerPoint or PDF files Duration of each Presentation (Tentatively):

Regular oral presentation: about 15 minutes (including Q&A) Keynote speech: about 40 minute (including Q&A)

Notice: Please keep your belongings (laptop and camera etc) with you! During registration: Original Receipt Representative / Pass Card with lanyard Printed Program Lunch Coupon Participation Certificate (collected from Session Chair after the session) Conference Bag


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5th ICOGOIA 2016 Bandung, Indonesia Conference Program

October 21, 2016 Venue:

Lobby 1400 - 1600 Registration

October 22, 2016

Venue: Caramel

Room

0830 – 0915 Opening Remarks

Rektor Universitas Padjadjaran

0915 – 0945

Plenary Speech 1

Keynote Speaker – Prof. Dr. Sudradjat

Supian, MS, Universitas Padjadjaran

1000 – 1030 Group Photo and Coffee Break

Venue: Caramel

Room 1030 – 1230 Session 1

Venue: Maple Room

1030 – 1230 Session 2

Venue:

Sugar Resto

1230 – 1400 Lunch

Venue:

Caramel Room

1400 – 1600 Session 3

Venue:

Maple Room

1400 – 1600 Session 4

1600 – 1630 Coffee Break Venue:

Caramel Room

1630 – 1800 Session 5

Venue:

Maple Room

1630 – 1800 Session 6


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Session 1 Time: 1030 - 1230 Venue: Caramel Room Session Chair: Prof. Dr. Sudradjat Supian

No Paper ID Presenter 1 015-icogoia Performance of Surfactant-Polymer Flooding under the Influence of

Intermittent Ultrasonic Waves

Nor Asyikin Noruddin, Wan Rosli Wan Sulaiman, Abdul Razak Ismail

Universiti Teknologi Malaysia, Malaysia

2 032-icogoia Estimating the Number of Paediatric Patients using Least Square and Conjugate Gradient Methods

Nur Syarafina Mohamed, Mustafa Mamat, Mohd Rivaie, Nur Syairah Shahrul Nizam.

Universiti Sultan Zainal Abidin, Malaysia

3 028-icogoia Quadratic Investment Portfolio Without a Risk-Free Asset Based on Value-at-Risk

Sukono*, Pramono Sidi, Dwi Susanti, Sudradjat Supian*

Padjadjaran University, Indonesia 4 037-icogoia An Alternative Approach for Conjugate Gradient Method

Norhaslinda Zull, Nurul ‘Aini,Mustafa Mamat, Mohd Rivaie, Sukono

Universiti Sultan Zainal Abidin, Malaysia 5 014-icogoia Optimization of Wavelet Weighted Fuzzy Model for Time Series Data

and Its Application to Forecast Jakarta Composite Index

Agus Maman Abadi, Nurhayadi, Musthofa

Yogyakarta State University, Indonesia 6 031-icogoia New Hybrid Coefficient BFGS for Unconstrained Optimization and its

Global Convergence

Ummie Khalthum Mohd Yusof, Mustafa Mamat, Fatma Susilawati Mohamad, Mohd Asrul Hery Ibrahim

Universiti Sultan Zainal Abidin, Malaysia 7 034-icogoia Numerical Simulation for Identifying Shoreline Erosion in the Vicinity

of Runway Platform of Sultan Mahmud Airport, Kuala Terengganu, Malaysia

Yuyun Hidayat, *Subiyanto, Mohammad Fadhli Ahmad, Mustafa Mamat, Aceng Sambas, Sudradjat Supian

Padjadjaran University, Indonesia

8 044-icogoia

Tool Wear of Uncoated Carbide and PVD TiAlN Coated Carbide Tools in End Milling of AlSi/AlN Metal Matrix Composite

S.H. Tomadi, J.A. Ghani, H. Mas Ayu, R. Daud

Universiti Malaysia Pahang, Malaysia


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Session 2 Time: 1030 - 1230 Venue: Maple Room Session Chair: Assoc. Prof. Dr. Saiful Bahri Mohamed

No Paper ID Presenter 1 007-icogoia Analyzing the Effect of Bin-width on the Computed Entropy

Sri Purwani, Sudradjat Supian, and Carole Twining


2 019-icogoia Optimizing Portfolio of Stock Investment Under The Influence of Market Sentiment By Using Time Series Model Approach

Endang Soeryana, Nur Fadhlina bt Abdul Halim, Endang Rusyaman, Sukono, Sudradjat Supian

Padjadjaran University, Indonesia 3 042-icogoia Another Descent Conjugate Gradient Method with Strong-Wolfe line

search

Nur Hamizah, Mustafa Mamat, Fatma Susilawati, Mohd Rivaie


4 017-icogoia Point Operation to Enhance the Performance of Fuzzy Neural Network Model for Breast Cancer Classification

Dhoriva Urwatul Wutsqa, Rahmada Putri Setiadi

Yogyakarta State University, Indonesia 5 029-icogoia Branch and Bound for the Cutwidth Minimization Problem

Mochamad Suyudi*, Mustafa Mamat, Sukono, Sudradjat Supian

Padjadjaran University, Indonesia 6 038-icogoia Intuition Concept in Small and Medium Enterprises through Strategic

Decision Making

Iwan Inrawan Wiratmadja, Augustina A. Rumanti*, Rocky Reynaldo, Amelia Kurniawati*

Bandung Institute of Technology, Indonesia 7 005-icogoia Critical Success Factors for Benchmarking Implementation in Oil Palm

Industry

Fatimah Mahmud, Baba Md Deros, Dzuraidah Abdul Wahab, Mohd Nizam Ab Rahman, Rohaizan Ramlan

Universiti Malaysia Pahang, Malaysia 8 048-icogoia Modeling of Economic Growth by Using Principal Component

Regression

Julita Nahar, Sri Purwani, Fatimah Khonsa Syahidah, Sudradjat Supian

Universitas Padjadjaran, Indonesia


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Session 3 Time: 1400 - 1600 Venue: Caramel Room Session Chair: Dr. Sri Purwani

No Paper ID Presenter 1 043-icogoia The Effect of Surface Pressureand Elasticity to the Surface Minimum Energy

with Fractional Order

E. Rusyaman, E. Carnia, K.Parmikanti, Sudradjat S, A. K. Superiatna


2 021-icogoia The Properties of Fuzzy Green Relations on Bilinear Form Semigroups

Karyati

Yogyakarta State University, Indonesia

3 047-icogoia Hydrological Implication of Traditional Farming Systems: A case study in the Upper Citarum and Cimanuk Watersheds, West Java

Chay Asdak and Sudradjat Supian


4 041-icogoia Academic Information System in Higher Education Institution toward Education 3.0: A Preliminary Study

Hadi Prasetyo Utomo, Abdul Talib bin Bon, and Mokhamad Hendayun

Universiti Tun Hussein Onn Malaysia, Malaysia

5 020-icogoia Employees Timetabling Simulation Using Integer Linear Programming Technique

Sudradjat Supian, R. Sudrajat, Eman Lesmana, Amalia Farida


6 033-icogoia Thermal Oxidation Process Improved Corrosion in Cobalt Chromium Molybdenum Alloys

H. Mas Ayu, R. Daud, A. Shah, M. Y. Mohd Faiz, H. M. Hazwan, M. S. Salwani, S. H. Tomadi, M. S. Reza

Universiti Malaysia Pahang, Malaysia 7 025-icogoia Parameter Free Filled Function Method for Solving Unconstrained

Global Optimization Problem

Herlina Napitupulu, Ismail Bin Mohd, F Sukono, Sudradjat Supian

Nurfadhlina Abdul Halim


8 046-icogoia Concept Generation Of Sensor-Based Head Reading Lamp Vivi Triyanti, A. Adya Pramudita

Atma Jaya Catholic University of Indonesia, Indonesia


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Session 4 Time: 1400 - 1600 Venue: Maple Room Session Chair: Dr. Sukono

No Paper ID Presenter 1 009-icogoia The Application to Find Cutting Patterns in Two Dimensional Cutting

Stock Problem

Sisca Octarina*, Putra BJ Bangun, and Samuel Hutapea

Universiti Sriwijaya Indonesia

2 016-icogoia Edges Trimming Parameter Optimizations of Hybrid Composite CFRP/AL2024

W.N.F.Mohamad #, S.B.Mohamed *, M. Minhat#, M.S.Kasim#, M. Mamat#

Universiti Teknikal Melaka Malaysia, Malaysia

3 023-icogoia Educational Effectiveness Evaluation Using Hybridization of Input – Output Model and Clustering Analysis Method: Indonesian Data

Feri Wijayanto #

Universitas Islam Indonesia Yogyakarta, Indonesia

4 006-icogoia improving body shop production performance

Azila-Nadiah Dulli, Cheng Jack Kie, Fazeeda Mohamad Universiti Malaysia Pahang, Malaysia

5 022-icogoia Power Series Solutions for Nonlinear Systems of Partial Differential Equations

Eddy Djauhari

Universitas Padjadjaran, Indonesia 6 051-icogoia The Information Technology Share In Management Information System

Nur Zeina Mayasari Padjadjaran University, Indonesia

7 004-icogoia An Evaluation of Emergency Department Treatment Process

Siti Noor Amira, Fazeeda Mohamad, Cheng Jack Kie, Razman Mat Tahar, Sabariah Faizah Jamaluddin Universiti Malaysia Pahang, Malaysia

8 012-icogoia Optimization Parameters Selection in Beltline Moulding Manufacturing Abdul Talib Bon Universiti Tun Hussein Onn Malaysia, Malaysia


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Session 5 Time: 1630 - 1800 Venue: Caramel Room Session Chair: Dr. Fazeeda Mohamad

No Paper ID Presenter 1 003-icogoia Artificial Neural Network: The alternative method to obtain the

dimension of ankle bone parameters. R. Daud, H. Mas Ayu, M. S. Salwani, S. H. Tomadi, Mohammed Rafiq Abdul Kadir, Hanumantharao Balaji Raghavendran,Tunku Kamarul


2 040-icogoia Bootstrap Procedure for Bias Reduction and Percentiles tp Weibull Distribution Riaman #, F Sukono * Betty Subartini


3 011-icogoia THE DEVELOPMENT OF LEARNING VIDEO MEDIA BASED GEOGEBRA FOR INCREASING THE STUDENTS’ MATHEMATICAL UNDERSTANDING Risnawati, and Aulia Ma’ruf

Sultan Syarif Kasim Islamic University, Indonesia

4 024-icogoia Refinery Scheduling for Naphta Hydrotreater Unit using Nonlinear Programming Yosi Agustina Hidayat, Ketut Resiki Widiastuti and Endra Joelianto Bandung Institute of Technology, Indonesia

5 035-icogoia Structural Information in the Shape of the Optimum of Registration Objective Function

Sri Purwani, Julita Nahar, Asep K. Supriatna , Carole Twining

Padjadjaran University, Indonesia 6 039-icogoia Hybrid quasi-Newton and Conjugate Gradient Method for Solving

Unconstrained Optimization Problems Nurul ‘Aini, Nurul Hajar, Mustafa Mamat, Mohd Rivaie Universiti Sultan Zainal Abidin, Malaysia

7 018-icogoia New Generation Cooperative Financial Mathematical Model Preliminary Concept Estiyan Dwipriyoko *#1, Abdul Talib Bin Bon #1, F.Sukono #2

Universiti Tun Hussein Onn Malaysia, Malaysia


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Session 6 Time: 1630 - 1800 Venue: Maple Room Session Chair: Prof. Dr. Abdul Talib Bon

No Paper ID Presenter 1 049-icogoia Modeling of CVaR and CMVaR for Life Insurance with Poisson

Distribution of the Claim Number and Logistic Distribution of the Claim Amount Sukono, Abdul Talib bin Bon, Muhammad Iqbal Al-Banna Ismail, Yuyun Hidayat, Sudradjat Supian Padjadjaran University, Indonesia

2 027-icogoia On The Application of Bivariate Weibull Distribution in Lease Contract

Udjianna Sekteria Pasaribu #, Hutomo Atman Maulana *, Hennie Husniah #

Bandung Institute of Technology, Indonesia 3 002-icogoia ENTREPRENEURIAL COMPETENCIES AND NETWORKS: A QUALITATIVE

STUDY Puteri Fadzline Tamyez, Nazaruddin Ishak, Juhary Ali


4 052-icogoia Assessing the Readiness of Contractors in Implementing Low Carbon Construction in Penang Safiynaz Omar, Wira Mohd Shafie


5 008-icogoia Hotel Trip Generation in Tourism City (case study :Bandung City, Indonesia) Karda D Yayat, B. Kombaitan, Heru Purboyo

Bandung Institute of Technology, Indonesia

6 050-icogoia Evaluation Model for Risk Insurance Premiums of Building Damage Caused by Flood: Case Study in Citarum Watershed, Southern Bandung, Indonesia

Pramono Sidi, Mustafa Mamat, Sukono, Sudradjat Supian


7 053-icogoia The Impact of Fleet Size on Performanced-Based Maintenance Contracts H. Husniah*, A. Cakravastia, B. P. Iskandar* Langlangbuana University, Karapitan


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Conference Venue

Tebu Hotel Bandung Jl. L. L. R.E. Martadinata No.62, Citarum, Bandung Wetan,

Kota Bandung, Jawa Barat 40115, Indonesia

+62 22 4263335

Conference Secretariat Contact: IPN Education Group

37B Jalan Pelabur 23/B, Seksyen 23 40300 Shah Alam

Selangor Darul Ehsan Malaysia

Phone No. : +6018-2189487 (call/sms/whatsapp) Tel: +603-55486116/55455516

Fax no: +603-55486116

Programme website: www.ipneducationgroup.org

www.ipnconference.org www.pgtsresources.com

Contact Person:

+6018-2189487 (IPN Education Group) +6013-4234705 (Nurul)


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Note


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List of Abstract

No Paper Abstract

1 002 -icogoia ENTREPRENEURIAL COMPETENCIES AND NETWORKS: A QUALITATIVE STUDY Puteri Fadzline Tamyez1, Nazaruddin Ishak2, Juhary Ali3 1Faculty of Industrial Management, Universiti Malaysia Pahang, Lebuhraya Tun Razak, 26300, Kuantan, Pahang E-mail : [email protected]

2Asia e University, School of Management, KampungAttap, 50000 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur 3Asia e University, School of Management, KampungAttap, 50000 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur

Abstract: Achieving success is a highly critical issue for the small size construction firms in order to survive and grow in competitive and hostile business environments. There has been little research directed toward understanding how SMEs specifically the construction industry could systematically achieve entrepreneurial success with a synergy of competency and network. The objective of this research was to analyze the effects of entrepreneurial competency and entrepreneurial networks on small sized construction firms in Malaysia.Through in-depth interviews, salient dimensions of the competencies emerged. Entrepreneurial competency can be categorized as personal competency, strategic management competency, learning competency, opportunity competency, social network and inter-organization network as main themes. In addition, social and inter-organizational networks pursue to a better success as compared to firms that own business networks. Therefore this creates a new contribution by establishing a framework on research concepts and proposes a model of integration between these constructs and their relationships

2 003 -icogoia Artificial Neural Network: The alternative method to obtain the dimension of ankle bone parameters. R. Daud1, H. Mas Ayu1, M. S. Salwani1, S. H. Tomadi1, Mohammed Rafiq Abdul Kadir2 Hanumantharao Balaji Raghavendran3,Tunku Kamarul3

1Faculty of Mechanical, Universiti Malaysia Pahang, 26300 Pekan, Pahang, Malaysia 2Faculty of BioSciences & Medical Engineering, Universiti Teknologi


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Malaysia, 81310 Skudai, Johor, Malaysia 3Department of Orthopaedic Surgery, NOCERAL, Faculty of Medicine, University of Malaya, Lembah Pantai, 50603 Kuala Lumpur, Malaysia.

Abstract—Current ankle morphometric measurement tools involve the use of radiographic techniques, which may be unacceptable to many ethical committees due to the radiation exposure to subjects. In the present study, we propose an alternative method of ankle morphometric measurement using neural network computational model based solely on existing data measurements and demographic information. The reliability and prediction power of this technique were examined and compared with the morphometric measurements of normal subjects using computed tomography (CT) scan measurements and multiple linear regression (MLR) method of prediction. The artificial neural network (ANN) used in the present study was based on two-layer feed forward network. The network system included a hidden layer sigmoid transfer function and a linear transfer function in the output layer. For network training, standard Levenberg-Marquardt algorithm was used. The input used consisted of a set of demographic data (age, height, and weight) while the output obtained from the analyses consisted of ankle morphometric measurements (trochlea tali length (TTL), talar anterior width (TaAW), sagittal radius of talar (SRTa), tibia length (TiL), tibia width (TiW), width/length ratio of talar (WLRTa), and width/length ratio of tibia(WLRTi)). The applicability and accuracy of these alternative methods were evaluated by comparing the predicted values from our computational analysis with the normal CT values of 15 randomly selected volunteers. Furthermore, our prediction values were also compared with the values predicted using the MLR method. The ANN method showed a greater capacity of prediction, and was found to estimate the ankle joint morphometric measurements with a low percentage of error and high correlative values with the measurements obtained through the use of CT scan. In addition, the ANN method was also noted to be better in predicting ankle measurements than the MLR method as demonstrated by the lower average of standard deviations: SANN =1.35, SMLR=2.20 for females and SANN=1.81, SMLR=4.07 for males. The ANN method is potentially better alternative to predict ankle morphometric measurements than CT scan and MLR methods.

3 004 -icogoia An Evaluation of Emergency Department Treatment Process Siti Noor Amira¹, Fazeeda Mohamad², Cheng Jack Kie², Razman Mat Tahar², Sabariah Faizah Jamaluddin³ ¹¸²Faculty Industrial Management, Universiti Malaysia Pahang, Malaysia ³Selangor General Hospital, Selangor, Malaysia Correspondance: Siti Noor Amira Othman, Faculty Industrial Management, Universiti Malaysia Pahang. (E-mail: [email protected])


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Abstract : This paper presents the simulation model to evaluate the treatment process of emergency department (ED). The two objectives are mainly considered, which are by identifying various procedures in ED of a general hospital as well as to evaluate resource utilization that may lead to the bottleneck. ED is known as the frontline of service provider that opens 24 hours per day to serve patients that comes to their door. Regardless, with the increasing of patient’s number, hospital organisations are keen to meet the demands in ED where the demand of services provided exceeds their ability to serve patients in an appropriate time frame. The use of Discrete Event Simulation (DES) model allows hospital administrator to understand the treatment process and detected the bottlenecks area in the process. Theory of Constraints (TOC) is also used to identify the constraints in the areas examined in ED. The results from the scenarios experimentation showed that comparison with 20% increase of patients to triage zones affects the different treatment time procedures.

4 005 -icogoia Critical Success Factors for Benchmarking Implementation in Oil Palm Industry Fatimah Mahmud1, Baba Md Deros2, Dzuraidah Abdul Wahab3,

Mohd Nizam Ab Rahman4, Rohaizan Ramlan5 1Faculty Industrial Management, Universiti Malaysia Pahang, Malaysia, [email protected] 2, 3, 4 Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, Malaysia, [email protected], [email protected], [email protected] 5 Fakulti Pengurusan Teknologi Dan Perniagaan, Universiti Tun Hussein Onn, Malaysia, [email protected]

Abstract: Successful benchmarking implementation can improve a company’s profitability, increase customer satisfaction, facilitate cost reductions, identify new business opportunities and help develop market competitiveness. Nevertheless, no matter how sophisticated the benchmarking as a tool in compliance to critical success factors, it is barely ineffective for it is wrongly used. This paper aims to provide the empirical evidence on the importance and practice of eight identified critical success factors (CSFs) for implementing benchmarking in oil palm industry. Prior to conducting the full survey, a pilot study and validation by benchmarking experts in this field was conducted to ensure the survey questionnaire is reliable and valid. The Cronbach alpha values for all the eight critical success factors were higher than 0.7, which means they are reliable. To achieve this objective, 700 sets of survey questionnaire were distributed among oil palm planters and millers in Malaysia. This survey has received a good response rate of 49%. On overall, the survey results had indicated that there is a significant different between actual practice of CSFs compared to their perception of importance. In the authors’ opinion this survey


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findings would be useful and considerable interest to all level of benchmarking practitioners in the oil palm industry.

5 006 -icogoia Integrating discrete event simulation and value stream map in improving body shop production performance Azila-Nadiah Dulli1, Cheng Jack Kie2, Fazeeda Mohamad 3 1Faculty of Industrial Management, Universiti Malaysia Pahang, Gambang, Malaysia [email protected] 2Faculty of Industrial Management, Universiti Malaysia Pahang Gambang, Malaysia [email protected] 3Faculty of Industrial Management, Universiti Malaysia Pahang Gambang, Malaysia [email protected]

Abstract—Value stream mapping (VSM) is a lean tool used to reflect the current state of an operation by visualizing the value added activities and widely used across industries. This study takes place in automotive industry which emphasizing on addressing waste that arise in the production. VSM is traditionally a powerful paper and pencil tool however, the static representation on the map urges the use of computer simulation as the complementary tool. DES is introduced to create dynamic on the VSM and addresses variability that exist in the system and to propose improvement design for the future state VSM.

6 007 -icogoia Analyzing the Effect of Bin-width on the Computed Entropy

Sri Purwani1,Sudradjat Supian

1, and Carole Twining

2

1Department of Mathematics, Padjadjaran University, Bandung,

Indonesia(E-mail: [email protected], [email protected]) 2Imaging Science, the University of Manchester, Manchester, UK

(E-mail: [email protected])

Abstract: The Shannon entropy is a mathematical expression for quantifying the amount of randomness which can be used to measure information content. It is used in objective function. Mutual Information (MI) uses Shannon entropy in order to determine shared information content of two images. The Shannon entropy, which was originally derived by Shannon in the context of lossless encoding of messages, is also used to define an optimum message length used in the Minimum Description Length (MDL) principle for groupwise registration. First we derived the Shannon entropy from the integral of probability density function (pdf), and thenfound that Gaussian has maximum entropy over all possible distribution. We also showedthat the entropy of the flat distribution is less than the entropy of the Gaussian distribution with the same variance.We then investigated the effect of bin-width on the computed entropy. Weanalyzed the relationship between the


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computed entropy and the integral entropy when we vary bin-width, but fix variance and the number of samples. We then found that the value of the computed entropy lies within the theoretical predictions at small and large bin-widths. Wealso showed two types of bias in entropy estimators.

7 008 -icogoia Hotel Trip Generation in Tourism City (case study :Bandung City, Indonesia) Karda D Yayat1,B. Kombaitan2, Heru Purboyo3

1Doctoral Candidate, Bandung Institute of Technology, [email protected] 2 School of Architecture, Planning, and Policy Development, Bandung Institute of Technology, [email protected] 3 School of Architecture, Planning, and Policy Development, Bandung Institute of Technology, [email protected]

Abstract: Hotel trip generation in Bandung has its own peculiarities as a sightseeing trip. Different from a working trip, hotel users usually have a budget that is more adequate than other trips, users dont mind about travel cost, distance or time achievement for it. This paper discusses the rise throughout the hotel in Bandung, regarding occupancy on weekdays and holidays, relationship with floor area, number of rooms and tariffs offered. the results showed that the room occupancystrongly related to the number of rooms, especially for the holidays. The mode that is used varies from private vehicles, public transport, trains and rental vehicles.

8 009 -icogoia The Application to Find Cutting Patterns in Two Dimensional Cutting Stock Problem

Sisca Octarina1*

, Putra BJ Bangun2, and Samuel Hutapea

3

1,2,3

Department of Mathematics, Faculty of Mathematics and Natural Sciences, Sriwijaya University, Indralaya, Indonesia

Abstract: Two dimensional Cutting Stock Problem (CSP) is a problem tofind the appropriate patterns that fulfilled the demand with different length and cut from two sides, the length and width. Two dimensional CSP aims to minimize the cutting waste that called Trim Loss. This research designed and made the application of finding cutting patterns in two dimensional CSP. Based on the results, it found that Modified Branch and Bound Algorithm makes the pattern searching become easier than manual searching. This application also yields the optimal patterns with minimum Trim Loss.

9 011 -icogoia THE DEVELOPMENT OF LEARNING VIDEO MEDIA BASED GEOGEBRA FOR INCREASING THE STUDENTS’ MATHEMATICAL UNDERSTANDING


21

Risnawati1, and Aulia Ma’ruf

2

1Sultan Syarif Kasim Islamic University, Pekanbaru, Indonesia(E-mail:

[email protected]) 21

Sultan Syarif Kasim Islamic University,Pekanbaru,Indonesia (E-mail: [email protected])

Abstract : This research aimed to produce learning video media based on GeoGebra has been valid, practical, and effective. This development used ASSURE model development design. This research was conducted in Vocational High School Farmasi IKASARI Pekanbaru. The subject of the research are 2 people as the experts of instructional content and 2 people as the experts of instructional media, 6 students for try out of small group, and 73 students for try out of large group devided by two class, those are an experiment class and a control class. The form of data collection instrumenst are questionnaires of the validity by expert, questionnaires of the practicality and writing test by the students. Data of questionnares were analyzed with descriptive statistics. Data of test were analyzed with inferensial statistics. The result showed that the evaluation of learning video media by the expert of instructional content is valid with verygood classification (94,167%), the evaluation of learning video media by the expert of instructional media is valid with verygood classification (94,615%). The practicality of learning video media by students is practical with verygood classification (90,037%), and learning video media is effective because there was significant different between posttest mean score data of experiment class 42,143 is bigger than posttest mean score data of control class 33,763. These result indicate that the learning video media based on GeoGebra has been valid, practical, and effective.

10 012-icogoia Optimization Parameters Selection in Beltline Moulding Manufacturing Abdul Talib Bon Department of Production and Operations Management Universiti Tun Hussein Onn Malaysia, 86400 Parit Raja, Johor, Malaysia [email protected]

Abstract— Optimization is necessary for the control of any manufacturing process to achieve better product quality, high productivity with low cost. The beltline moulding process is difficult task due to its low defects, making the material sensitive to reject. The efficient beltline moulding process involves the optimal selection of operating parameters to maximize the number of production while maintaining the required quality limiting beltline surface damage. In this research, objective is to obtain optimum process parameters, which satisfies given limit, minimizes number of defects and maximizes the productivity at the same time. A


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recently developed optimization algorithm called particle swarm optimization is used to find optimum process parameters. Accordingly, the results indicate that a system where multilayer perceptron is used to model and predict process outputs and particle swarm optimization is used to obtain optimum process parameters can be successfully applied to beltline moulding process through Particle Swarm Optimization (PSO). Results obtained are superior in comparison with Genetic Algorithm (GA) approach.

11 014 -icogoia Optimization of Wavelet Weighted Fuzzy Model for Time Series Data and Its Application to Forecast Jakarta Composite Index Agus Maman Abadi1, Nurhayadi2, Musthofa3 1Mathematics Department, Yogyakarta State University , Yogyakarta, Indonesia [email protected] 2Mathematics Education Department, Tadulako University , Sulawesi Tengah, Indonesia [email protected] 3Mathematics Department, Yogyakarta State University , Yogyakarta, Indonesia [email protected]

Abstract—Jakarta Composite Index (JCI ) is an indicator for monitoring the movement of the prices of all shares listed on the Jakarta Stock Exchange. Most studies of JCI prediction are conducted using conventional statistical methods. In this paper, we come up with a new procedure to construct wavelet weighted fuzzy model and apply it to predict JCI. Wavelet weighted fuzzy modeling procedure is begun with wavelet transformation using a discrete wavelet transform (DWT) mother haar for time series data. The DWT results are used as an input of Mamdani fuzzy model. Furthermore, the weight of fuzzy rules is determined based on the training data. Finally, defuzzification process is performed to obtain the output of wavelet weighted fuzzy model. This procedure was applied to predict the value of JCI. The results indicate that the wavelet weighted fuzzy model has a MAPE value of 0.5034% and 0.7153% for training data and testing data respectively. In addition, the prediction of JCI value is also performed with other models, such as weighted fuzzy model and wavelet fuzzy model. Compared to the other models, wavelet weighted fuzzy model gives better results than that of the other models.

12 015-icogoia Performance of Surfactant-Polymer Flooding under the Influence of Intermittent Ultrasonic Waves Nor Asyikin Noruddin1, Wan Rosli Wan Sulaiman2, Abdul Razak Ismail3

1Nor Asyikin Noruddin, Universiti Teknologi Malaysia;


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[email protected] 2 Wan Rosli Wan Sulaiman, Universiti Teknologi Malaysia; [email protected]

3 Abdul Razak Ismail, Universiti Teknologi Malaysia; [email protected]

Abstract: Studies proved that vibration can increase the production compared to the non-vibration, but there were still limited to disclose the physics that governs the process. Most of the studies are using the continuous ultrasonic vibration. Generation and maintenance of continuous vibration requires high energy, in fact, more cost is required. So, the main focus of this research is to initiate the use of intermittent vibration in order to save the cost. Mechanical vibrations generated by ultrasonic radiation influence interfacial forces and increase the relative permeability of the phases. In this project, ultrasonic vibration was designed to assist surfactant-polymer (SP) flooding process for more significant effects, as SP flooding is one of EOR methods that is able to maximize both sweep and displacement efficiency. Besides, this work has been designed to understand the mechanics of intermittent ultrasonic vibration in influencing additional recovery of SP flooding, reduction of residual oil saturation, and displacement pattern at pore scale during the flooding process under exposure of ultrasonic waves. To achieve this, experiments consisting of visualization (at pore scale) and displacement experiments were conducted. Ultrasonic power was changed to see the influence on the process. Residual oil saturation at end of the flooding was recorded and snapshots of oil displacement were taken. The outcomes justified that intermittent vibrations can produce and enhance more additional oil recovery of SP flooding compared to the continuous vibration, and the reduction of residual oil saturation, and oil displacement rate highly dependent on the ultrasonic power..

13 016 -icogoia Edges Trimming Parameter Optimizations of Hybrid Composite CFRP/AL2024 W.N.F.Mohamad #1, S.B.Mohamed *2, M. Minhat#3, M.S.Kasim#3, M. Mamat#4, #1Faculty of Innovative Design and Technology, Universiti Sultan Zainal Abidin, 21300 Terengganu, Malaysia #3Faculty of Manufacturing Engineering, Universiti Teknikal Melaka Malaysia, 76100, Melaka, Malaysia #4Faculty of Computers and Informations, Universiti Sultan Zainal Abidin, 21300 Terengganu, Malaysia #[email protected],[email protected], #3

[email protected],#[email protected] *2East Coast Environmental Research Institute, Universiti Sultan Zainal Abidin, 21300 Terengganu, Malaysia [email protected]

Abstract—The application of composite materials is extensively used in automotive and aerospace industries due to their high


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strength and light weight. Adversely, machining of such material is extremely challenging because of its inhomogeneous nature, anisotropic and abrasive characteristic. Service life and performance of a component is highly dependent on the quality of machined surface produced. An experimental investigation is conducted to determine the effect of the cutting parameter: spindle speed (N), feed rate (fr) and depth of cut (dc) on the surface of a machined CFRP/Al2024 hybrid composite material. Machining operation used is edge trimming using Kennametal burr tool of 6 mm diameter and the machining method is up milling. The aim of the experiment is to set optimum cutting parameters for obtaining quality machined surface. Surface quality was quantified based on surface roughness. Resultshowed that spindle speed is the most significant effect on surface finish followed by feed rate and depth of cut. The best surface finish between 1 µm to 2 µmcan be obtained by the combination of N= 2330 rpm, fr = 500 mm/min and dc =0.01 mm.The validation test showedaverage deviation of predicted to actual value of surface roughness is 6.8% for Al2024 and 7.25% for CFRP.

14 017 -icogoia Point Operation to Enhance the Performance of Fuzzy Neural Network Model for Breast Cancer Classification Dhoriva Urwatul Wutsqa1, Rahmada Putri Setiadi2 1Mathematics Department , Yogyakarta State University, Yogyakarta, Indonesia [email protected] 2Mathematics Department , Yogyakarta State University, Yogyakarta, Indonesia [email protected]

Abstract— Stadium of breast cancer can be detected by using mammographic images. The accuracy is strongly influenced by the image quality. In this study, we propose a point operation of intensity adjustment to enhance the quality of the images. We implement the fuzzy neural network (FNN) model for the classification of breast cancer classification based on mammographic images that have been enhanced. Then, the images are extracted by using gray level co -occurrence matrix (GLCM) method for yielding the parameter values of the images. The fuzzification of the parameter values is required to generate the inputs of the FNN model, which are the fuzzy numbers instead of classic numbers. We compare the performances of the FNN models with and without image preprocessing point operation. The results demonstrate that on the training data, both FNN models deliver satisfied performance with no misclassified data. While on the testing data, the FNN model with point operation outperforms the FNN model without point operation. This result suggests the strong effectiveness of mammographic images preprocessing point operation to increase the accuracy of the FNN model for classifying breast cancer.


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15 018-bdo-gjpam-icogoia

New Generation Cooperative Financial Mathematical Model Preliminary Concept Estiyan Dwipriyoko *#1, Abdul Talib Bin Bon #1, F.Sukono #2

#1 Faculty of Technology Management and Business, Universiti Tun Hussein Onn Malaysia, Malaysia. *#1 [email protected] #2 Department of Mathematics, Faculty of Mathematics and Natural Sciences, Universitas Padjadjaran, Bandung, Indonesia.

Abstract— Cooperative is a business arrangement that collectively owned by its member and focus on member needs. Cooperative have some problem such as: (1) Free Rider Member than often make chaos in decision making, (2) There are scam, fraud, and malpractices in cooperative investment, (3) Cooperative member do not really understand how did they get benefit and profit. New Generation Cooperative (NGC) is a new kind of cooperative that have secured membership and give more value in their service. NGC is new kinds of cooperative that have secured membership and give more value in their service, but New Generation Cooperative only have little information about its mechanism to give profit and benefit to their member. Technology Strategy uses Value Chain Analysis to map business procedure and function of the organization. This review will discuss about NGC Financial Mathematical Model Preliminary Concept based on Value Chain Analysis business process mapping to describe how the mechanism for cooperative member get their profit and benefit.

16 019 -icogoia Optimizing Portfolio of Stock Investment Under The Influence of Market Sentiment By Using Time Series Model Approach Endang Soeryana1, Nur Fadhlina bt Abdul Halim2, Endang Rusyaman3, Sukono4, Sudradjat Supian5 1Department of Mathematics, FMIPA, Universitas Padjadjaran, Bandung, West Java, Indonesia [email protected] 2Department of Mathematics, FST, Universiti Malaysia Terengganu Kuala Terengganu, Malaysia 3Department of Mathematics, FMIPA, Universitas Padjadjaran, Bandung, West Java, Indonesia [email protected] 4Department of Mathematics, FMIPA, Universitas Padjadjaran, Bandung, West Java, Indonesia [email protected] 5Department of Mathematics, FMIPA, Universitas Padjadjaran Bandung, West Java, Indonesia [email protected]

Abstract— Investment in stocks investors are also faced with the issue of risk, due to daily price of stock also fluctuates. To minimize


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the level of risk, investors usually form an investment portfolio. Establishment of a portfolio consisting of several stocks are intended to get the optimal composition of the investment portfolio. This paper discusses about optimizing portfolio of stock investment under the influence of market sentiment by using time line model approach. In this discussion, the influence of market sentiment is measured based on inter-quantile range. In addition, in order to estimate the mean of stock return in time series, ARMA model is used. GARCH model is used to estimate the variance of stock return. In order to optimize portfolio, Markowitz model is used. As numeric illustration, several stocks traded in Indonesian stock market are analyzed. The expected result is to get the proportion of investment in each stock analyzed.

17 020 -icogoia Employees Timetabling Simulation Using Integer Linear Programming Technique Sudradjat Supian1, R. Sudrajat2, Eman Lesmana3, Amalia Farida4 1Department of Mathematics, FMIPA, Universitas Padjadjaran Bandung, West Java, Indonesia [email protected] 2Department of Mathematics, FMIPA, Universitas Padjadjaran Bandung, West Java, Indonesia [email protected] 3Department of Mathematics, FMIPA, Universitas Padjadjaran Bandung, West Java, Indonesia [email protected] 4Department of Mathematics, FMIPA, Universitas Padjadjaran Bandung, West Java, Indonesia [email protected]

Abstract— A problem to allocate n number of employees in a directorate/division into a given set of organizational shifts is the Employee Timetabling Problem (ETP). The main purpose of employee timetabling in this research is the allocation of n employees who should be assigned each day so that no idle workers. To solve the ETP and the main purpose of this research in create mathematical modeling represented 0-1 Integer Linear Programming (ILP) model. The ETP is solved by considering two criteria as the constraints, there are the organizational rules and employee’s requirement with the objective function that is to minimize the number of employees to minimize labor costs. 0-1 ILP model obtained from process organization data input and employee data input. Employee data input can be done manually or automatically from database with the help of software Excel. 0-1 ILP model solved by framework SCIP Optimization Suite, which then implemented into application of ETP simulation that are developed by software Microsoft Visual Studio.

18 021 -icogoia The Properties of Fuzzy Green Relations on Bilinear Form Semigroups Karyati


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Department of Mathematics Education, Yogyakarta State University Yogyakarta, Indonesia Email: [email protected], [email protected]

Abstract—The Green relations on semigroups have been introduced by Howie [3]. They are right Green relation , left Green relation and Green relation . The right Green relation is defined as , with denotes the right ideal generated by an element (or called the principle right ideal generated by . The definition of the left Green relation and the Green relation are similar to the definition of the right Green relation. In this paper we will construct the definition of the fuzzy right Green relation (denoted by ), the fuzzy left Green relation (denoted by ) and the fuzzy Green relation (denoted by ) on a semigroup. First we define a fuzzy ideal (right/left) generated by a fuzzy subset (a fuzzy principle ideal) on a semigroup and their examples. Based on the fuzzy principle ideal definition, we define a fuzzy (right/left) Green relation on a semigroup. The fuzzy subset and are fuzzy (right/left) Green related if and only if the fuzzy (right/left) ideal generated by is equal to the fuzzy (right/left) ideal generated by

. 19 022- icogoia Power Series Solutions for Nonlinear Systems of Partial

Differential Equations Eddy Djauhari Department of Mathematics, Padjadjaran University, INDONESIA

Email : [email protected]

Abstract: In this paper we would like to discuss the analytical solution of nonlinear partial differential systems. The solutions are obtained using the technique of power series to solve linear ordinary differential equations. This method ensures the theoretical exactness of the approximate solution. Several systems are solved using this method and comparisons of the approximate solutions with the exact ones are demonstrated.

20 023icogoia Educational Effectiveness Evaluation Using Hybridization of Input – Output Model and Clustering Analysis Method: Indonesian Data Feri Wijayanto #1

# Department of Informatics, Universitas Islam Indonesia Yogyakarta, Indonesia 1 [email protected]

Abstract—In system-level educational monitoring, Indonesian Ministry of Education and Culture has been published statistic educational data every year. The data is used to evaluate the educational development in Indonesia. But when it comes to educational effectiveness, the topic is not yet an issue. Some


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publications discuss educational effectiveness by focusing on observing the educational substances. This research is trying to give a different point of view by using educational data from the government to evaluate the educational effectiveness. The hybridization of input – output model and clustering analysis is introduced in this paper as a new approach to evaluate the educational effectiveness. As the result of the method’s usage, even though it could not explicitly measure the effectiveness rate, the method may estimate the effectiveness relative to all members. Based on the data, it could be inferred that the effectiveness of educational development is 85%, 88% and 76% for elementary school, junior and senior high school respectively.

21 024 -icogoia Refinery Scheduling for Naphta Hydrotreater Unit using Nonlinear Programming Yosi Agustina Hidayat1, Ketut Resiki Widiastuti1 and Endra Joelianto2 1Industrial Engineering Study Program 2Engineering Physics Study Program and Instrumentation and Control Research Group Institut Teknologi Bandung Jl. Ganesha No.10, Bandung, West Java 40132, Indonesia [email protected], [email protected], [email protected]

Abstract-In a refinery industry, production scheduling is one of the most critical activities in entire process. Expensive raw material prices, high operational costs, and limited amount of resources enforce this industry to make their production schedule properly. In scheduling, the quantity of the product is not the only matter. We should also consider the quality of the resulting product that must be in accordance with the speci-fied standards. This paper considers a refinery scheduling using a non-linear programming model. The unit is used as the object of study in this paper is Naphtha Hydrotreater (NHT) with the naphtha input.

22 025-icogoia Parameter Free Filled Function Method for Solving Unconstrained Global Optimization Problem Herlina Napitupulu1, Ismail Bin Mohd2, F Sukono3, Sudradjat Supian4 Nurfadhlina Abdul Halim5

1,3,4Department of Mathematics, FMIPA Universitas Padjadjaran Sumedang, Indonesia [email protected] 1,5School of Informatics and Applied Mathematics Universiti Malaysia Terengganu, Kuala Terengganu, Malaysia 2Institute of Engineering Mathematics, Universiti Malaysia Perlis, Arau Perlis, Malaysia

Abstract—Global optimization problem still become an interest because of the challenge on finding global minimizer(s) of nonlinear objective function with multiple local minima. In this paper the parameter free filled function method is proposed. The


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algorithm method is combination of parameter free filled function, Newton’s method, and steepest descent method. Algorithm method is implemented to two and three-dimensional benchmark test functions. The numerical performance shows that the method succeeds on solving unconstrained global optimization problem.

23 027-icogoia On The Application of Bivariate Weibull Distribution in Lease Contract Udjianna Sekteria Pasaribu #1, Hutomo Atman Maulana *2, Hennie Husniah #3

#1 Department of Mathematics, Bandung Institute of Technology, Bandung, Indonesia #3Department of Industrial engineering, Langlangbuana University, Bandung, Indonesia 1 [email protected] 3 [email protected]

Abstract— This paper develops a two-dimensional lease contract for repairable product by using bivariate approach. During the contract period, all maintenance actions are carried out by the lessor. There are two type of customers who will be considered, costumers whose lease contract ended because usage limit or consumers whose lease contract ended because time limit has reached first. The proposed model uses bivariate approach on the Weibull process and failure rate reduction method to analyze the breakdown process in terms of time and usage. When the age or usage of equipment reaches a specified limit, an imperfect preventive maintenance is conducted. Further-more, when the equipment fails, a minimal repair corrective maintenance is performed. As an illustration, a numerical example is performed to calculate number of breakdowns and optimal preventive maintenance degree that minimizes lessor’s maintenance cost during leased contract period.

24 028-icogoia Quadratic Investment Portfolio Without a Risk-Free Asset Based on Value-at-Risk Sukono*1, Pramono Sidi2, Dwi Susanti3, Sudradjat Supian*4 1Department of Mathematics, FMIPA, Universitas Padjadjaran, Bandung, West Java, Indonesia [email protected] 2Department of Mathematics, FST, Universitas Terbuka, Tangerang Selatan, Banten, Indonesia [email protected] 3Department of Mathematics, FMIPA, Universitas Padjadjaran Bandung, West Java, Indonesia [email protected] 4Department of Mathematics, FMIPA, Universitas Padjadjaran Bandung, West Java, Indonesia [email protected]


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Abstract—This paper will discuss the problems of quadratic investment portfolio without a risk-free asset based on Value-at-Risk. It is assumed that the risk of an investment portfolio measured by Value-at-Risk. The resolution of problems that do include: First, formulate models the trade-off problem. Secondly, formulate expectation maximization model of the problem. Third, formulate model minimization of Value-at-Risk problem. Based on the results of the discussions can be concluded that the trade-off between risk and expected return does not only depend on the type of investor but also on the size of the investment. In a realistic investment situation, it is likely that more constraints, e.g., restriction on short-selling, need to be considered.

25 029-icogoia Branch and Bound for the Cutwidth Minimization Problem Mochamad Suyudi*1, Mustafa Mamat2,Sukono3, Sudradjat Supian4 1,3,4Department of Mathematics, FMIPA, Padjadjaran University, INDONESIA Email: [email protected], [email protected], [email protected] 2Fakulti Informatik dan Komputeran, Universiti Sultan Zainal Abidin Terengganu, MALAYSIA E-mail: [email protected]

Abstract — The cutwidth minimization problem consists of finding a linear layout of a graph so that the maximum linear cut of edges (i.e., the number of edges that cut a line between consecutive vertices) is minimized. This paper starts by reviewing previous exact approaches for special classes of graphs as well as a linear integer formulation for the general problem. We propose a branch and bound algorithm based on different lower bounds on the cutwidth of partial solutions.

26 030-icogoia Mathematical Model Palatine Rugae Subras Deuteromelayu in Odontology Forensic Sudradjat Supian#1, Oscandar Fahmi*2, Nursamsi Intan*3

#Departement of Mathematics, Faculty of Mathematics and Natural Science, Padjadjaran University Jawa Barat, Indonesia Jln. Raya Bandung-Sumedang Km. 21, Jatinangor, Kab. Sumedang 45363, Jawa Barat, Indonesia 1 [email protected] * Departement of Dentomaxillofacial Radiology and Odontology Forensic, Faculty of Dentistry, PadjadjaranUniversity Jawa Barat, Indonesia. Jln. Raya Bandung-Sumedang Km. 21, Jatinangor, Kab. Sumedang 45363, Jawa Barat, Indonesia 2 [email protected] 3 [email protected]

Abstract— A mathematical model is a description of a system that uses mathematical concepts and language. The process of


31

developing a mathematical model called mathematical modeling. Mathematical models are used not only in the natural sciences and engineering disciplines), but also in social sciences (such as economics, psychology, sociology and political science, medical and dentistry) used a mathematical model that is most widespread. A model may help to explain the system and to study the effects of different components, and to make predictions about the behavior. Mathematical models can take many forms, including but not limited to dynamical systems, statistical models, differential equations, or game theory models. In general, the mathematical model can include logical models, as far as logic is taken as a part of mathematics. This research design a mathematical model of the palatine rugae subras deuteromelayu with a mathematical model approach fingerprints. Rugae palatine is an organ that has the unique properties of each individual person, palatine rugae can be analyzed through the number, length, direction, and shape. The uniqueness of every shape and pattern of the palatine rugae can be used as the basis for the identification of individuals

27 031-icogoia New Hybrid Coefficient BFGS for Unconstrained Optimization and its Global Convergence Ummie Khalthum Mohd Yusof1, Mustafa Mamat1, Fatma Susilawati Mohamad1, Mohd Asrul Hery Ibrahim2 1Faculty of informatics and Computing, Universiti Sultan Zainal Abidin (UniSZA), Terengganu, Malaysia [email protected] 2Faculty of Enterpreneurship & Business, Universiti Malaysia Kelantan (UMK), Kelantan, Malaysia

Abstract— Quasi-newton method is one of the most efficient and well known method for solving unconstrained optimization problem. They are very similar to Newton's method, but avoid the need of computing Hessian matrices by recurring, from iteration to iteration, a symmetric matrix which can be considered as an approximation of the Hessian. In Quasi-newton method, BFGS is the best solver in order to get optimal solutions. In this paper, we propose a new hybrid coefficient which possesses the sufficient descent condition and global convergence under exact line search. Our numerical results show that our new hybrid coefficient gives minimum results in terms of number of iterations and cpu time.

28 032-icogoia Estimating the Number of Paediatric Patients using Least Square and Conjugate Gradient Methods Nur Syarafina Mohamed #1, Mustafa Mamat #2, Mohd Rivaie*3, Nur Syairah Shahrul Nizam *4. # Fakulti Informatik dan Komputeran, Universiti Sultan Zainal Abidin, 21300, Terengganu, Malaysia, 1 [email protected] 2 [email protected]


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* Fakulti Sains Komputer dan Matematik, Universiti Teknologi Mara, Kampus Chendering, Terengganu, Malaysia 3 [email protected]

Abstract—Paediatric is one of the branches in medicine dealing with health and medical care for infants, children, and adolescents. Recent findings show that the number of paediatric patients is increasing year by year. In this paper, a data of paediatric patients from 2005 until 2015 is collected from Specialist Clinic HSNZ, Kuala Terengganu. By using discrete least square method of numerical analysis and conjugate gradient method in unconstrained optimization, an estimation of 2016 data can be forecasted. These methods have been chosen based on its simplicity and accuracy. The calculations are based on linear and quadratic approach together with their errors. Results showed that the conjugate gradient method is comparable with the quadratic least square method.

29 033-icogoia Thermal Oxidation Process Improved Corrosion in Cobalt Chromium Molybdenum Alloys H. Mas Ayu1, R. Daud1, A. Shah2, M. Y. Mohd Faiz3, H. M. Hazwan4, M. S. Salwani1, S. H. Tomadi1, M. S. Reza1, 1Faculty of Mechanical Engineering, Universiti Malaysia Pahang, 26600 Pekan, Pahang, Malaysia; [email protected], [email protected], [email protected], [email protected], [email protected] 2Universiti Pendidikan Sultan Idris, 35900 Tanjung Malim, Perak, Malaysia; [email protected] 3Kulliyyah of Dentistry, International Islamic University Malaysia, Kuantan Campus, 25200, Kuantan, Malaysia; [email protected] 4Faculty of Mechanical Engineering, Universiti Teknologi Malaysia, 81310 Skudai, Johor Bahru, Malaysia; [email protected]

Abstract: The corrosion phenomena are always give bad impact to any metal products including human implants. This is due to the corrosion impacts are harmful for hard tissues and soft tissues. There are many methods to prevent the process of corrosion on implant materials such as coating with bioceramic materials and modify the implant surface with surface modification techniques. However, until now there is still no gold standard to overcome this problem and it is remain in researching process. Thus, the aim of this research is to investigate the potential and economical surface modification method to reduce the corrosion effects on Cobalt-Chromium-Molybdenum (Co-Cr-Mo) based alloy when insert in human body. The thermal oxidation process was selected to treat Co-Cr-Mo surface substrate. Firstly, Co-Cr-Mo alloy was heated in muffle furnace at constant temperature of 850°C with different duration of heating such as 3 hours and 6 hours in order to analyze the formation of oxide layer. The corrosion behaviours of untreated sample and oxidized sample were investigated utilizing potentiodynamic polarization tests in simulated body fluids (SBF). The Vickers hardness after corrosion testing was measured in


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order to evaluate the effect of thermal oxidation in reducing corrosion rate. Based on the results obtained it is clearly showed that substrates undergone thermal oxidation with 6 hours duration time performed better than 3 hours duration, with the hardness value 832.2HV vs. 588HV respectively. Dense oxide layer and uniform thickness formed on the oxidized substrates able to help in reducing the corrosion effects on Co-Cr-Mo alloy without degraded its excellent mechanical properties. The microstructures of oxidized substrates before and after corrosion test were also analyzed using FESEM images for better observations. It was determined that corrosion resistance of Co-Cr-Mo substrate can be increased with oxide layer formed on the alloys using thermal oxidation process.

30 034-icogoia Numerical Simulation for Identifying Shoreline Erosion in the Vicinity of Runway Platform of Sultan Mahmud Airport, Kuala Terengganu, Malaysia Yuyun Hidayat1, *Subiyanto2, Mohammad Fadhli Ahmad3, Mustafa Mamat4, Aceng Sambas5, Sudradjat Supian6 1Department of Statistics, FMIPA, Universitas Padjadjaran Bandung, West Java, Indonesia [email protected] 2School of Ocean Engineering, Universiti Malaysia Terengganu Kuala Terengganu, Malaysia *Research Assistant at Department of Mathematics, FMIPA, Universitas Padjadjaran, Bandung, West Java, Indonesia [email protected] 3School of Ocean Engineering, Universiti Malaysia Terengganu Kuala Terengganu, Malaysia [email protected] 4School of Ocean Engineering, Universiti Malaysia Terengganu Kuala Terengganu, Malaysia [email protected] 5Department of Mechanical Engineering , Universitas Muhammadiyah Tasikmalaya, Tasikmalaya, West Java, Indonesia [email protected] 6Department of Mathematics, FMIPA, Universitas Padjadjaran Bandung, West Java, Indonesia [email protected]

Abstract— In this paper, the formula of longshore sediment transport rate is applied to identify shoreline evolution around of runway platform of Sultan Mahmud Airport, Kuala Terengganu, Malaysia. This formula was developed based on phenomena of fluid movement through the sediment particle. The sediment with high permeability become more loose, this causes sediment easily to move. Based on the simulation result by using this formula, shoreline profile around this airport occur an erosion and accretion. The accretion occurs on the north side of this airport. The average accretion in this area during the 1 year is 4.75m and 23.56m during 3 years. The erosion occurs on the south side of this airport. The average erosion in this area during 1 year is 5.43m, while the erosion becomes worst when the simulation is done for 3


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years that is equal to 20.21m. It is required an effective coastal management and coastal protection in order to minimize this erosion in the future.

31 035-icogoia Structural Information in the Shape of the Optimum of Registration Objective Function Sri Purwani1, Julita Nahar2, Asep K. Supriatna3 , Carole Twining4

1Department of Mathematics, Padjadjaran University, Indonesia; [email protected] 2Department of Mathematics, Padjadjaran University, Indonesia; [email protected] 3Department of Mathematics, Padjadjaran University, Indonesia; [email protected] 4Imaging Science, the University of Manchester; [email protected]

Abstract: Registration is a way to find meaningful correspondences between points in one image to points in another image or a group of images. It attempts to align images, such that common structures match. In conventional pairwise intensity-based registration, we usually attempt to find the optimum of registration objective function. We investigated whether there is structural information present in the shape of the optimum. Such structures might be used to improve the performance of registration. By using simple structures (i.e., an edge or corner structure) and Mutual Information (MI) objective function, we perturbed one image locally with a diffeomorphism, and found interesting structure in the shape of the quality of fit function.

32 037-icogoia An Alternative Approach for Conjugate Gradient Method Norhaslinda Zull1, Nurul ‘Aini,Mustafa Mamat1, Mohd Rivaie2, Sukono3 1Faculty of Informatics and Computing, Universiti Sultan Zainal Abidin, Terengganu, Malaysia [email protected] 2Department of Computer Science and Mathematics, Universiti Teknologi MARA, Terengganu, Malaysia 3Faculty of Mathematics and Natural Sciences, Universitas Padjajaran , Bandung, Indonesia

Abstract—Nowadays, conjugate gradient (CG) has been a subject of extensive research by many researchers. In this paper, a new CG method has been proposed. This new CG coefficient,

k is

compared to other four CG methods in their capabilities to solve fifteen selected test functions with different number of variables. The algorithm is established under exact line search and computed via MatlabR2012. This new method should possess the sufficient descent and global convergence properties. The results are interpreted into performance profile by using SigmaPlot.


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33 038-icogoia Intuition Concept in Small and Medium Enterprises through Strategic Decision Making Iwan Inrawan Wiratmadja1, Augustina A. Rumanti 1,2*, Rocky Reynaldo2, Amelia Kurniawati1,3*

1Department of Industrial Engineering, Bandung Institute of Technology, Bandung, Jl. Ganesha No. 10 Bandung Indonesia, 2Department of Industrial Engineering, 2Atma Jaya Catholic University of Indonesia, Jl. Jenderal Sudirman No.51 Jakarta, 3Telkom University, Jl. Dayeuhkolot No.1 Bandung, Indonesia. *Email: [email protected]; [email protected]

Abstract: As one of the main economic pillars in Indonesia, Small and Medium Enterprise (SME) has a unique characteristic of embracing environmental uncertainty and internal limitation. Previous researches define two approaches of decision making i.e., rational and intuitive. Actual business practice shows that time limitation combined with great amount of variables assessed, create an inevitable tendency for leaders to develop intuitive process in their decision making due to its flexibility. Research was conducted in four industries in Yogyakarta, Central Java i.e., batik, stone, pottery and food, with the goal of assessing the relation between environmental uncertainty to strategic decision making, along with the impact in regards with SME performance. Data was processed with Partial Least Square (PLS) based Structural Equation Modelling (SEM). This research shows no causality between variables and provides strategic suggestions accordingly.

34 039-icogoia Hybrid quasi-Newton and Conjugate Gradient Method for Solving Unconstrained Optimization Problems Nurul ‘Aini, Nurul Hajar1, Mustafa Mamat1, Mohd Rivaie2 1Faculty of Informatics and Computing, Universiti Sultan Zainal Abidin, Terengganu, Malaysia [email protected] 2Department of Computer Science and Mathematics, Universiti Teknologi MARA, Terengganu, Malaysia

Abstract—A hybrid of quasi-Newton and conjugate gradient method combines the search direction of the two methods to produce a new algorithm for solving unconstrained optimization functions. In this paper, a modified hybrid quasi-Newton method is presented where a new conjugate gradient coefficient is employed in the search direction. Based on the numerical results, the proposed hybrid method proved to be robust in comparison to the original quasi-Newton method and other hybrid methods.

35 040-icogoia Bootstrap Procedure for Bias Reduction and Percentiles tp Weibull Distribution Riaman #1, F Sukono *2 Betty Subartini3

#1 Department of Mathematics, Universitas Padjadjaran


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Jl. Raya Bandung-Sumedang km 21 Jatinangor 45363. Telp/Fax:022-7794696, Indonesia 1 [email protected] *2Department of Mathematics, Universitas Padjadjaran Jl. Raya Bandung-Sumedang km 21 Jatinangor 45363. Telp/Fax:022-7794696, Indonesia 2 [email protected] 3Department of Mathematics, Universitas Padjadjaran Jl. Raya Bandung-Sumedang km 21 Jatinangor 45363. Telp/Fax:022-7794696, Indonesia [email protected]

Abstract— Currently, the manufactures are challenged to develop new products in a short period. Increased reliability in the product, as an important aspect of the quality control program. Values MTTF and percentile tp guide the manufactures to take decisions in reliability improvement. Data related to the reliability of the products should be collected in the short term and the results of this analysis should be used in the development of new production. One methodology used is the analysis of failure time data. Weibull distribution can be used to examine the data when a failure because it is "applicable" (easy to use) , have great benefits for suitability parameters with the distribution of the lifetime of the other and has a high diversity in solving the problems of system reliability and data testing period life. Reliability experiments are carried out with few sample units, may be expensive or take long time to get enough values. This fact may provide a high level of bias MTTF and percentile tp. This bias can be minimalized by using bootstrap procedure.

36 041-icogoia Academic Information System in Higher Education Institution toward Education 3.0: A Preliminary Study

Hadi Prasetyo Utomo1, Abdul Talib bin Bon

2, and Mokhamad

Hendayun3

1Technology Management,Universiti Tun Hussein Onn Malaysia, Johor,

Malaysia (E-mail: [email protected]) 2Technology Management,Universiti Tun Hussein Onn Malaysia, Johor,

Malaysia (E-mail: [email protected]) 3Informatics,University of Langlangbuana, Bandung, Indonesia

(E-mail: [email protected])

Abstract: Many higher education institutions (HEIs) have implemented information and communication technology (ICT) in their management processes. One of the implementation is used in academic affair management usually called academic information system (AIS). Some of the institutions also have implemented Education 3.0 paradigm in their learning processes. However, most of the existing AIS was only used for the administrative purpose


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and only support users from the internal of the institutions. In the other way, the characteristics of Education 3.0 are consisting of learning and administration processes and also support involvement from parents and industry. This study will use Sistem InformasiAkademik Universitas Langlangbuana (SIAk UNLA) in Bandung, Indonesia as a case study and analysis the gaps between existing AIS and the characteristics of Education 3.0 paradigm. The results are recommendation functionalities to be added to AIS in the case for supporting Education 3.0 paradigm.

37 042-icogoia Another Descent Conjugate Gradient Method with Strong-Wolfe line search Nur Hamizah1, Mustafa Mamat1, Fatma Susilawati1, Mohd Rivaie2 1Faculty of Informatics and Computing, Universiti Sultan Zainal Abidin (UniSZA), Terengganu, Malaysia [email protected] 2Department of Computer Science and Mathematics, Universiti Teknologi Mara (UiTM), Terengganu, Malaysia Abstract— This paper considers an iterative method, which is nonlinear conjugate gradient method for solving unconstrained optimization problems. We propose a new conjugate gradient method satisfying sufficient descent condition when strong Wolfe line search is used. We then compare the new method against other known conjugate gradient method. Numerical results show that the proposed method is efficient relative to number of iteration and computational time.

38 043-icogoia The Effect of Surface Pressure and Elasticityto the Surface Minimum Energy with Fractional Order E. Rusyaman, E. Carnia, K.Parmikanti, Sudradjat S, A. K. Superiatna Department of Mathematics, FMIPA Universitas Padjadjaran, Bandung, Indonesia [email protected]

Abstract—Minimization and saving are two keywords that currentlyoften related to the solution of energy problem. In this paper we discuss the fact that when an elastic flat surface is pressed from the bottom at some points, then a potential energy is formed at any pointson the surface towards the bottom of the surface, which is called the surface energy. The problem addressed in this paper is to determine the functional relationship between the minimum surface energy with the value of the surface elasticity and the value of the pressure. In the previous work, the surface can be represented as a function of two variables in the form of double sine series. In this case, the energy is defined as the integral of the square of the Laplace operator with the order of the derivative generalized into fractional value. The pressure is the value of


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function at the pressed point coordinates, while elasticity is the value of the fractional order. Some values of the minimum energy which depend on the surface elasticity, pressure, and pressure point coordinates, are used as the data to obtain a regression model of the functional relationship.Knowing the relationship between the involved varaiables, the resulting regression model can be used to determine the minimum energy easily.The model reveals that the coordinates of the pressure point does not significantly affect the surface energy. The surface energy is only depend on the pressure and surface elasticity.

39 044-icogoia

Tool Wear of Uncoated Carbide and PVD TiAlN Coated Carbide Tools in End Milling of AlSi/AlN Metal Matrix Composite S.H. Tomadi1, J.A. Ghani2, H. Mas Ayu1, R. Daud1 1Faculty of Mechanical Engineering, Universiti Malaysia Pahang, 26600 Pekan, Pahang, Malaysia; [email protected], [email protected], [email protected] 2Department of Mechanical and Material Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia; [email protected]

Abstract: In this paper, the tool life and wear mechanism of uncoated carbide tool and PVD TiAlN coated carbide are analyzed when end milling of AlSi/AlN metal matrix composite (MMC) with cutting speeds in the range of 240 m/min to 400 m/min. The results show that at all cutting speed conditions, wear mechanism is dominated by abrasion and adhesion due to the hard particles that adhere temporarily or permanently on the flank face of cutting tool and scratch the surface. As a result, the formation of grooves is observed, and particles of cemented tungsten carbide are pulled-out due to the collision between AlN and carbide at the higher cutting speed of 400 m/min. This high cutting speed had caused cracking on the cutting edge. BUE was formed and deposited on the rake face. In this study, it was found that cutting speed is the most significant factor which contributed 76% to the cutting tool life compared to the depth of cut (13.86%) and feed rate (5.63%). This is believed to be due to the reaction between cutting tool and AlSi/AlN MMC that will cause the increasing of cutting temperature and resulting in the tool wear of cutting tool.

40 046-icogoia Concept Generation Of Sensor-Based Head Reading Lamp Vivi Triyanti1, A. Adya Pramudita2

1 Industrial Engineering Department, Atma Jaya Catholic University of Indonesia; [email protected] 2 Electrical Engineering Department, Atma Jaya Catholic University of Indonesia; [email protected]

Abstract: Reading lamp is a lamp that is used specifically to provide sufficient lighting when reading or studying. However, current reading lamp has a few inadequacies, due to the inflexibility, shape,


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and function limitation. The main purpose of this study was to design reading head lamp that is more flexible and appropriated to user needs. After gathering user’s requirements, some technical specification targets were setup. Finally all requirements were translated into concepts. The chosen concept was reading sensor based head lamp that has the ability to adjust the light intensity depends on environment. The proposed concept is also equipped with the time and distance sensor to ensure that the reading condition is still acceptable. The concept would be continued to embodiment and detail design phase.

41 047-icogoia Hydrological Implication of Traditional Farming Systems: A case study in the Upper Citarum and Cimanuk Watersheds, West Java Chay Asdak1 and Sudradjat Supian2

1Post-graduate School of Transdisciplinary Studies, Universitas Padjadjaran, JalanDipati Ukur 35 Bandung40132, Indonesia 2Faculty of Mathematics and Natural Science, Universitas Padjadjaran, Jalan Raya Bandung-Sumedang Km 21, Bandung 40600, Indonesia

Abstract - The assessment of important factors affecting runoff and erosion was carried out by collecting runoff and soil loss from runoff/erosion plots. The runoff/erosion plots were set up in sloping areas of about 40% slope in two different places of the upper parts of Citarum and Cimanuk Watersheds, West Java, Indonesia. The plots (6 x 10 m) at the upper Citarum were established in the following four sets of conditions: bamboo garden, mixed garden, small shrub, and agricultural crops with different species and stand structures. After 20 rainfall events, a treatment in the form of removing undergrowth and litter were applied to bamboo and mixed garden plots. The result of this before and after treatment are the following: runoff from bamboo garden was increased from 0.40 to 1.02 litre/m2 and erosion was increased from 1.47 to 11.65 gr/m2. While the runoff and erosion in mixed garden were increased from 0.36 to 1.65 litre/m2 and from 1.36 to 10.88 65 gr/m2, respectively.When this compared to the runoff and soil loss in the agricultural plot, the soil erosion is much higher, 50.5 65 gr/m2 (about 50 times higher). These results will then be compared to the similar field-plot based measured in the upper Cimanuk watershed for a comparative study purpose.For both cases, stand/canopy structure appeared to be the important factors that determine the magnitude of soil erosion. While the role of these factors were less significant compared to rainfall in determining the magnitude of runoff.

42 048-icogoia Modeling of Economic Growth by Using Principal Component Regression Julita Nahar1, Sri Purwani1, Sudradjat Supian1, Fatimah Khonsa Syahidah2


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1Department of Mathematics, Padjadjaran University Bandung, Indonesia 2Department of Statistics, Padjadjaran University Bandung, Indonesia Abstract— Development of a developing country is essentially aimed at improving the welfare and prosperity of its people. National or regional development puts more emphasis on development in the economic field. In the implementation of their economic development factors that influence it should be considered. One measure of the success can be seen from the economic growth. In modeling the economic growth we are often constrained by models that do not meet the assumptions, one of which is multicollinearity. This occurs because the data obtained is taken from uncontrollable circumstances. The existence of these cases can cause difficulty in separating the influence of each independent variable on the response variable, so we need a method to solve it. One method that can be used is Principal Component Regression (PCR). PCR is one method that has been developed to overcome the problem of multicollinearity. PCR is a regression analysis of the variables in response to the main components that are not correlated with each other, where each main component is a linear combination of all predictor variables.

43 049-icogoia Modeling of CVaR and CMVaR for Life Insurance with Poisson Distribution of the Claim Number and Logistic Distribution of the Claim Amount Sukono1, Abdul Talib bin Bon2, Muhammad Iqbal Al-Banna Ismail3, Yuyun Hidayat4, Sudradjat Supian5 1Department of Mathematics, FMIPA, Padjadjaran University, Bandung, West Java, Indonesia, [email protected] 2Department of Production and Operation, FTMB, Universiti Tun Hessein Onn Malaysia, Batu Pahat, Johor Bhru, Malaysia [email protected] 3Department of Production and Operation, FTMB, Universiti Tun Hessein Onn Malaysia, Batu Pahat, Johor Bhru, Malaysia [email protected] 4Department of Statistics, FMIPA, Universitas Padjadjaran, Bandung, West Java, Indonesia [email protected] 5Department of Mathematics, FMIPA, Universitas Padjadjaran Bandung, West Java, Indonesia [email protected]

Abstract— Measuring and controlling risks of the aggregate claims are very crucial issues for insurance companies. Generally the risk of a claim is measured using the variance; however, in many cases it cannot accommodate all the events of claim risks. This paper develops a risk measure called the model of Collective Value-at-Risk (CVaR) and Collective Modified Value-at-Risk (CMVaR), which are


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an extension of the Collective Risk Model. Expansion of the main risk measurement model takes place when the number of claims is Poisson distributed and the amount of claims is Logistic distributed. Expansion of the model is done by doing a statistical estimate of the mean, variance, skewness, and kurtosis; and the result is finally used to formulate the CVaR model and the CMVaR model. The purpose of this study is to obtain an alternative model of aggregate risk assessment of life insurance claims. As a numerical illustration, this CMVaR model is used to analyze the simulated data of the number and amount of insurance claims.

44 050-icogoia Evaluation Model for Risk Insurance Premiums of Building Damage Caused by Flood: Case Study in Citarum Watershed, Southern Bandung, Indonesia Pramono Sidi1,2, Mustafa Mamat2, Sukono3, Sudradjat Supian3

1Department of Mathematics , FMIPA, Universitas Terbuka Tangerang, West Java, Indonesia, [email protected] 2Department of Mathematics, FIK, Universiti Sultan Zainal Abidin, Kuala Terengganu, Malaysia, [email protected] 3Department of Mathematics, FMIPA, Padjadjaran University Bandung, West Java, Indonesia, [email protected] , [email protected]

Abstract— The impact of the financial economics of damage to buildings caused by natural disasters flooding from year to year has been increasing. Thus, the role of insurance companies is one of the important things and periodically they evaluate the large proportion of the premiums charged to insurance participants. In this paper, the model calculation and evaluation of insurance premiums as the main component in flood risk management was analyzed. The analysis begins with determining the annual average of the compensation index, calculate the premium per unit of insurance on the basis of parameters of disparate, and then determine the proportion of premiums, reserves, as well as reinsurance, in order to meet payment of the amount of the claims when losses houses damaged by the floods occurred. The case study was carried out on the flood disaster in the Citarum watershed in Southern Bandung, Indonesia. The analysis showed that the greater the initial backup along with an increase in quotas on reinsurance during the period before the disaster and the increase in the value of premiums, all of these strategies can form a scheme whereby the insurance company to cover the financial losses caused by floods.

45 051-icogoia The Information Technology Share In Management Information System Nur Zeina Mayasari 1Accounting Economy Faculty, Padjadjaran University; [email protected]


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Abstract - Information Management System growth change of role from all manager in decision making, is claimed to always can get most accurate and information and now days able to use of in course of decision making .While prima facie reason for the usage of information technology in business to support, such a manner, so that information system may operate better (O'Brien & Marakas, 2009). Its meaning with existence of information technology in information management system (MIS) company management decision making which often initially pursued by many factor of nontechnical became accurately is relevant, complete and on schedule.

46 052-icogoia Assessing the Readiness of Contractors in Implementing Low Carbon Construction in Penang Safiynaz Omar1, Wira Mohd Shafie2

1Faculty of Industrial Manangement, Universiti Malaysia Pahang; [email protected] 2Housing of Building & Planning, Universiti Sains Malaysia; [email protected]

Abstract: Global warming or climate change is becoming a main concern of humanity, as it leads to an increase in the Earth’s temperature and oceans’ level due to the increase of greenhouse gasses in the atmosphere. Greenhouse gasses consists of water vapor, carbon dioxide (CO2), methane (CH4), nitrous oxide (N20), tropospheric ozone (O3) and chlorofluorocarbons (CFCs). Among the gasses, CO2 is the highest and easiest gas to measure as it is emitted from human economic activities with construction industry one of the major contributors of carbon emissions. Low carbon construction is the reduction of carbon emissions from the construction activities during construction process. For the implementation of low carbon construction in our construction industry, the contractors need to be ready and have the knowledge to adopt low carbon construction industry. The purpose of this research is to determine the level of contractors’ knowledge towards low carbon construction, determining the level of readiness towards low carbon construction and proposing a checklist for the contractors towards low carbon construction in Penang. This research employed questionnaire survey to analyze the level of knowledge and readiness of the contractors on low carbon construction.

47 053-icogoia The Impact of Fleet Size on Performanced-Based Maintenance Contracts H. HUSNIAH 1*, A. CAKRAVASTIA2 And B. P. ISKANDAR 3* 1Department of Industrial Engineering, Langlangbuana University,Karapitan 116, Bandung, 40261, Indonesia [email protected] 2,3Department of Industrial Engineering, Bandung Institute of Technology, Ganesha 10, Bandung, 40132, Indonesia [email protected]


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Abstract- We consider a situation where a mining company operates a number of trucks (as a fleet) for transporting mining materials (such as coal, ores) from several mining fields to processing units. A high availability of a fleet of trucks is critical factor for achieving a monthly production target of the company. Performance based maintenance contracts offers an appropriate incentives to motivate the original equipment manufacturer (OEM) or the service provider to increase the fleet’s performance beyond the target. We obtain the optimal strategy (pricing structure) for the agent and the optimal option for the owner using a stackelberg game formulation in which the agent is as a leader and the owner as a follower. The trucks are sold with two dimensional warranty (e.g for maximum 3 years or 150.000 km) and PM is one package of the warranty. After the warranty ceases, the company is fully responsible to perform maintenance actions for the fleet. To sustain high performance of the fleet, the company usually purchases the maintenance services from the OEM or service provider. Often, the OEM is the only maintenance service provider for the dump trucks and offers more than one service contract options (fully, moderate or partial maintenance coverages). In this paper, we study performance based maintenance service contract for a group of trucks, which considers availability target and use a non-cooperative game theoretic formulation to determine the optimal option for the owner and the optimal number of server for the OEM. We give numerical examples to show the optimal number of server for the OEM and the optimal strategy for the owner.

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