Mata Kuliah AE5044 - 2026

Kode Mata KuliahAE5044 / 3 SKS
Penyelenggara236 - Teknik Dirgantara / FTMD
KategoriKuliah
Bahasa IndonesiaEnglish
Nama Mata KuliahRiset Operasi dalam Teknik DirgantaraOperations Research in Aviation
Bahan Kajian
  1. Pengantar Riset Operasi dan ilmu pengambilan keputusan
  2. Pemodelan matematis dalam Riset Operasi
  3. Metode optimasi dalam Riset Operasi
  4. Jaringan dan optimasi dalam sistem transportasi udara
  5. Penjadwalan dan alokasi sumber daya dalam aviasi
  6. Optimasi stokastik dan pengambilan keputusan di bawah Ketidakpastian
  7. Aplikasi Riset Operasi pada operasi dan manajemen aviasi
  8. Interpretasi solusi, komunikasi, dan etika pengambilan keputusan
  1. Introduction to perations Research and Decision Science
  2. Mathematical Modeling in Operations Research
  3. Optimization Methods in Operations Research
  4. Network Optimization in Air Transportation Systems
  5. Scheduling and Resource Allocation in Aviation
  6. Stochastic Optimization and Decision-Making under Uncertainty
  7. Applications of Operations Research in Aviation Operations and Management
  8. Solution Interpretation, Communication, and Decision-Making Ethics
Capaian Pembelajaran Mata Kuliah (CPMK)
  1. Merumuskan permasalahan sistem aviasi ke dalam model riset operasi secara matematis, dengan mengidentifikasi tujuan, kendala, dan parameter yang relevan.
  2. Menerapkan metode riset operasi untuk menyelesaikan model optimasi dalam konteks aviasi serta menganalisis hasil solusi secara kritis untuk mendukung pengambilan keputusan.
  3. Menganalisis dan menerapkan pendekatan riset operasi pada berbagai aplikasi aviasi, seperti operasi penerbangan, penjadwalan, alokasi sumber daya, dan manajemen kapasitas.
  1. Students are able to understand the characteristics of aviation data and analyze engineering problems in the aviation domain using data analytics and statistical approaches to obtain relevant insights.
  2. Students are able to develop and apply data analytics models to support safety, operational, or maintenance analyses in aviation, taking into account data quality and inherent limitations.
  3. Students are able to systematically design aviation data analytics solutions, including the integration of analytical methods, interpretation of results, and teamwork within the aviation context.
Metode PembelajaranProblem-Based Learning (PBL), Project-Based Learning Praktik komputasi (pengolahan dan analisis dataset aviasi)Problem-Based Learning (PBL), Project-Based Learning Computational practice (processing and analysis of aviation datasets)
Modalitas PembelajaranLuring, Sinkron, Mandiri, KelompokFace-to-face in class, Synchronous, Independent, Group-based
Jenis NilaiABCDE
Metode PenilaianTugas Kuis Ujian Tengah Semester Ujian Akhir SemesterAssignment Quiz Midterm Semester Exam Final Semester Exam
Catatan Tambahan