Post on 09-Apr-2019
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
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
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