A decision-support system for selecting and scheduling Forestry Multi-business (MUK) scenarios across Perum Perhutani's sustainable management units — combining a strong-sustainability indicator framework, resource-dynamics simulation, and multi-objective optimization. Sistem pendukung keputusan untuk memilih dan menjadwalkan skenario Multi Usaha Kehutanan (MUK) pada unit kelestarian Perum Perhutani — memadukan kerangka indikator strong sustainability, simulasi dinamika sumber daya, dan optimasi multi-tujuan.
Open the Application →Masuk Aplikasi → 📄 Methodology Document (PDF)Dokumen Metodologi (PDF) 📖 User Manual (PDF)Manual Pengguna (PDF) 🔍 Technical Deep-Dive (PDF)Dokumen Bedah Teknis (PDF) About the researchPelajari penelitiannyaIndonesia's Forestry Multi-business policy (Law No. 11/2020, Government Regulation No. 23/2021, MoEF Regulation No. 8/2021) shifts production-forest management from a single-timber regime toward an integrated business portfolio. This research answers the key question: how should combinations of forestry businesses be selected and scheduled on every compartment so that ecological, economic, and social sustainability are achieved simultaneously? Kebijakan Multi Usaha Kehutanan (UU No. 11/2020, PP No. 23/2021, Permen LHK No. 8/2021) menggeser pengelolaan hutan produksi dari rezim kayu tunggal menuju portofolio usaha terintegrasi. Penelitian ini menjawab pertanyaan kuncinya: bagaimana memilih dan menjadwalkan kombinasi usaha kehutanan pada setiap petak agar kelestarian ekologi, ekonomi, dan sosial tercapai sekaligus?
45 strong-sustainability indicators across ten dimensions; 24 imperative indicators classified through ISM-MICMAC; hybrid AHP weighting; BOCR scenario assessment in three forest management units (KPH). 45 indikator strong sustainability lintas sepuluh dimensi; klasifikasi 24 indikator keharusan melalui ISM-MICMAC; pembobotan AHP hybrid; penilaian skenario BOCR pada tiga KPH.
A 30-year stand- and business-dynamics simulation model; per-period BOCR scores with discounted, worst-period, and threshold-violation metrics. Model simulasi dinamika tegakan dan usaha berhorizon 30 tahun; skor BOCR per periode dengan metrik terdiskonto, periode terburuk, dan pelanggaran ambang.
A multi-objective genetic algorithm (constrained NSGA-II) builds per-compartment MUK option schedules that optimize the three sustainability pillars simultaneously under imperative-indicator thresholds. Algoritma genetika multi-tujuan (constrained NSGA-II) menyusun jadwal opsi MUK per petak yang mengoptimalkan tiga pilar kelestarian sekaligus di bawah ambang indikator keharusan.
The Sikturah application accepts planning data in the Excel format KPH planners already know, then runs the entire analysis engine on the server. Aplikasi Sikturah menerima data perencanaan dalam format Excel yang sudah dikenal para perencana KPH, lalu menjalankan seluruh mesin analisis di server.
Ten planting patterns × ten species/commodities — from teak monoculture to coffee agroforestry and ecotourism–environmental-services overlays — complete with rotation, minimum harvest age, and site suitability. Sepuluh pola tanam × sepuluh jenis/komoditas — dari monokultur jati hingga agroforestri kopi dan overlay wisata-jasa lingkungan — lengkap dengan rotasi, umur panen minimum, dan kesesuaian tapak.
Installed options, cutting decisions, stand age, and managed area are simulated annually for every compartment of the sustainability unit. Dinamika opsi terpasang, keputusan tebang, umur tegakan, dan luas kelola disimulasikan tahunan untuk setiap petak unit kelestarian.
Every scenario is scored on four merits — Benefits, Opportunities, Costs, Risks — with indicator weights from an expert panel. Setiap skenario dinilai pada empat merit — Benefits, Opportunities, Costs, Risks — dengan bobot indikator hasil panel pakar.
Thousands of schedule alternatives are evaluated per second; the result is a set of best-compromise (Pareto) solutions with per-compartment MUK schedules, downloadable back as Excel. Ribuan alternatif jadwal dievaluasi per detik; hasilnya himpunan solusi terbaik (Pareto) beserta jadwal opsi MUK per petak yang siap diunduh kembali sebagai Excel.
The complete flowchart (v0.10): three compartment-data input paths (CSV/Excel, manual editor, legacy workbook), server-side datasets with auto-generated suitability, optional expert corrections (overrides, adjacency, catalog), parameter profiles with harvest constraints, three analysis modes with a queued and cancellable NSGA-II run, through to results, automated conclusions, and the downloadable result workbook. Click the image to open the vector PDF. Flowchart lengkap (v0.10): tiga jalur input data petak (CSV/Excel, editor manual, workbook lama), dataset di server dengan kesesuaian otomatis, koreksi pakar opsional (override, adjacency, katalog), profil parameter dengan kendala panen, tiga mode analisis dengan run NSGA-II berantrean yang dapat dibatalkan, sampai hasil, kesimpulan otomatis, dan workbook hasil yang dapat diunduh. Klik gambar untuk membuka PDF vektor.
The application is open to try — download the Excel template inside, fill in your compartment data, then run the simulation and optimization. Aplikasi terbuka untuk dicoba — unduh template Excel di dalamnya, isi data petak, lalu jalankan simulasi dan optimasi.
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