Kode Mata KuliahTL4108 / 2 SKS
Penyelenggara153 - Teknik Lingkungan / FTSL
KategoriKuliah
Bahasa IndonesiaEnglish
Nama Mata KuliahAnalisis Sistem Pengelolaan LingkunganEnvironmental Systems Analysis
Bahan Kajian
  1. Pendahuluan: penjelasan materi kuliah, tata cara, ujian dan daftar pustaka
  2. Prinsip Dasar Sistem: pengertian sistem, teknik sistem analisa, sistem rujukan, metode delphi
  3. Metode dan Simulasi: dasar-dasar model, dimensi model, model matematis, model deterministrik, model probabilistik, odel dinamik, simulasi versus solusi analitik validitas model.
  4. Optimasi: decision variables, fungsi sasaran, persamaan & pertidaksamaan kendala, solusi matematis model linier dan non-linier.
  5. Analisa Keputusan: pengambilan keputusan pada kondisi pasti, dengan resiko, dan kondisi tidak pasti (uncertainty); kriteria maksimum, minimax, teori probabilitas, strategis Bayes, pohon keputusan.
  6. Sistem Dinamik: dinamik upan balik (feedback), sistem struktur, batas tertutup, loop umpan balik, persamaan simbol, level, dan laju (rate), mata rantai informasi, diagram alir Dynamo Compiler.
  7. Program Dinamik: karakteristik program, formulasi model, persamaan / pertidaksamaan batasan, solusi model, dinamika forward dan backward; solusi dari model.
  8. Analisa Jaringan: karekteristik, formulasi model, analisa jaringan (network), algoritma, jalur kritis, alokasi sumber.
  9. Analisa Kelayakan: kelayakan teknis, ekonomi, finansial, hukum sosial politik, analisa kepekaan.
  10. Weighted Ranking Technique: parameter model (factor) penentu, koefisien pemilihan alternatif, matriks pengambilan keputusan.
  11. Sistem Dinamik: dinamik upan balik (feedback), sistem struktur, batas tertutup, loop umpan balik, persamaan simbol, level, dan laju (rate), mata rantai informasi, diagram alir Dynamo Compiler.
  12. Model Antrian: karakteristik, proses kedatangan, proses pelayanan disiplin antrian, distribusi poison, distribusi eksponensial, formulasi model, solusi dari model.
  13. Rantai Markov: aljabar linier, teori probabilitas, matriks transisi probabilitas, matriks fundamental reguler dan absorbing Markov.
  14. Teori Permainan: Strategi Minimax – Miximin, Teori Laplace, Mixed Strategies dan Expected Payoff Dominan, Algoritma Brown.
  1. Introduction: explanation of lecture material, procedures, exams and bibliography
  2. Basic Principles of Systems: understanding systems, systems analysis techniques, reference systems, Delphi method
  3. Methods and Simulation: model basics, model dimensions, mathematical models, deterministic models, probabilistic models, dynamic models, simulation versus analytical solutions model validity.
  4. Optimization: decision variables, target functions, equations & inequalities constraints, mathematical solutions of linear and non-linear models.
  5. Decision Analysis: decision making under certain conditions, with risk, and uncertain conditions (uncertainty); maximum criterion, minimax, probability theory, strategic Bayes, decision trees.
  6. Dynamic Systems: feedback dynamics, structural systems, closed boundaries, feedback loops, symbol equations, levels and rates, information chains, Dynamo Compiler flow diagrams.
  7. Dynamic Programs: program characteristics, model formulation, boundary equations/inequalities, model solutions, forward and backward dynamics; solution of the model.
  8. Network Analysis: characteristics, model formulation, network analysis, algorithms, critical path, resource allocation.
  9. Feasibility Analysis: technical, economic, financial, socio-political legal feasibility, sensitivity analysis.
  10. Weighted Ranking Technique: determining model parameters (factors), alternative selection coefficients, decision making matrix.
  11. Dynamic Systems: feedback dynamics, structural systems, closed boundaries, feedback loops, symbol equations, levels and rates, information chains, Dynamo Compiler flow diagrams.
  12. Queue Model: characteristics, arrival process, queuing discipline service process, poison distribution, exponential distribution, model formulation, model solution.
  13. Markov chains: linear algebra, probability theory, probability transition matrices, regular fundamental matrices and absorbing Markov.
  14. Game Theory: Minimax – Miximin Strategy, Laplace Theory, Mixed Strategies and Dominant Expected Payoff, Brown's Algorithm.
Capaian Pembelajaran Mata Kuliah (CPMK)
  1. Mahasiswa memahami dinamika suatu sistem dan peramalan teknologi (technological forecasting) dari keadaan lingkungan pada kurun waktu kedepan
  1. Students understand the dynamics of a system and technological forecasting of environmental conditions in the future
Metode PembelajaranKBL, SBL, PBL, CBL.KBL, SBL, PBL, CBL.
Modalitas PembelajaranLuring, Sinkron.Offline, Synchronous.
Jenis NilaiABCDE
Metode PenilaianUraian, Presentasi, Laporan.Description, Presentation, Report.
Catatan Tambahan