Perkembangan Terkini Sistem Pendukung Keputusan dan Pemodelan untuk Peneglolaan Sumber Daya Alam

Kudang Boro Seminarkseminar@apps.ipb.ac.id

Lokakarya Kurikulum Program Studi

Master of Science in Information

Technology for Natural Resource

Management - FMIPA IPB

22 Februari 2018

Agroindustri

Merupakan kegiatan pertanian yang tersistem, terintegrasi dan berkesinambungan dari hulu ke hilir (land-to-table),

HULU HILIR

Challenge of Nations

How to use these resources in a sustainable manner to ensure that their benefits are enjoyed in the present as well as future generations

AGROINDUSTRIBerkelanjutan

Ekonomi

Lingkungan

Sosial

WORLD

NATURE IS A

COMPLEX

SYSTEM

PROBLEM

MANAGEMENT OF NATURAL RESOURCESDEALING

WITH A

COMPLEX

SYSTEM

THE ADVANCEMENT OF IT & INTELLIGENT COMPUTING

PROVIDING

NEW

OPPORTUNITIES

These technologies provide a platform through which managers can generate informative data and information that can be used to make sound decisions for sustainable development.

TRENDS IN CURRENT DECISION MAKING FOR NATURAL RESOURCE MANAGEMENT

• Deep Learning with ANN Modeling• Involve Multiple-Platform, Heterogenous, Big Data• Natural-Base (Naturally-Inspired) Modelling &

Computation• Integrated Pest Management (IPM) • Coping with Spatial, Geographical, Life Objects• Utilize Multiple Intelligent Agents for Problem Solving• Genetic Engineering• Precision Agriculture Paradigm

CURRENT APPLICATIONS OF GIS TECHNOLOGY

Application of GIS Data in Forest Management Application of GIS Data in Watershed Management Application of GIS Data in Biodiversity Management Application of GIS Data in Land & Crop Nutrition Management Application of GIS Data in Biomass & Renewable Energy Management Application of GIS Data in Agricultural Machinery Operations &

Schedulling Application of GIS Data in Regional PlanningManagement Application of GIS Data in Agro-logistics Application of GIS Data in Strategic Zoning Management Application of GIS Data in Animal Population & Movement Monitoring Application of GIS Data in Ocean Biodiversity Management Application of GIS Data Disaster Mitigation & Surveillance Application of GIS Data in Supporting Real-time, Digital & Precision

Agriculture Application of GIS Data in Supporting Deep Learning Analysis & Decision

Making

Contoh aplikasi: sistem pakar pemilihan lokasi untuk produksi ayam broiler pada kandangtertutup (broiler closed-house)

Pemilihan Lahan Tertutup Produksi Broiler

Pemilihan Lahan Tertutup Produksi Broiler

Ekologi dan

Dampak

Lingkungan

Kondisi Alam Kerawanan Bencana

Infrastruktur

Overlaying All Factors

Final Decision Result

Sistem Rekomendasi

Pempupukan

Tanaman Kelapa

Sawit

Input

▪ Tanaman: varietas, kondisi kesehatan dan umur

▪ Tanah: jenis tanah (tipe & subtipe), kesuburan, topologi, posisi dpl, luasan, kemiringan

▪ Iklim: curah hujan, suhu, kelembaban, intensitas radiasi matahari

▪ Tipe pupuk: organik atau unorganik

▪ Produktivitas: Potensi produksi (ton TBS/ha)

Output

▪ Jenis pupuk: Urea, Kieserit, Rock Phosphat, MOP, Borate

▪ Dosis: ton/pohon/waktu

▪ WaktuPemupukan & Frekuensi

Platform Teknologi

▪ Web base

▪ Mobile base: SMS Gateway, Android

Sistem Rekomendasi Pupuk Berbasis PERTANIAN PRESISI

PENENTUAN WAKTU DAN METODA PANEN

Azas pertanian presisi pada

proses pemanenan yang baik

adalah tepat waktu dan tepat

metoda dengan

mempertimbangkan kondisi

tanaman, iklim, lingkungan dan

lahan di lokasi tertentu.

Nishiguchi dan Yamagata 2009

Hulu (Land)

Pemilihan lahan

Aktor 1 Aktor 2 Aktor 3Aktor k+1

Pengolahan lahan

Penanaman & Pemeliharaan

Aktor 4

Pemanenan & Pra-pengolahan

...

Pengangkuta Pengolahan,

Pengemasan,Penyimpanan

Aktor k

Pemasaran Penyajian

Konsumsi Utilisasi

Aktor n

Penangaanan Limbah

Hilir (Table)

Integrasi Hulu Hilir

Pengamatan & perlakuan presisi di sepanjang rantaiproduksi

MODEL SISTEM PELACAKAN BERBASIS KOMPUTER

Our Research

Seminar 2015

Fungsi

komputasi

Fungsi

akuisisi

Fungsi

repositori

Fungsi

koneksi &

integrasi

SISTEM PELACAKAN BERBASIS TEKNOLOGI KOMPUTER

CONCLUSIONS

DSS FOR NATURAL RESOURCE MANAGEMENT IS CRITICAL & DEMANDEDTHUS WE NEED THE KNOWLEDGE ON :

- Database Management: Big Data, Spatial Data, Geographic Data, Temporal, Phenomic & Genomic Data

- Frontiers Digital Technology: IoT, Sensing Devices, Comprehensive Modelling, and Data Mining tools for Decision Making

- Data

Kudang B. Seminar

Mechanical & Bio-System Eng. Dept.

Bogor Agricultural University, Indonesia

TERIMA KASIH