Mata Kuliah MS5042 - 2026

Kode Mata KuliahMS5042 / 4 SKS
Penyelenggara231 - Mechanical Engineering / FTMD
KategoriLecture
Bahasa IndonesiaEnglish
Nama Mata KuliahStatistika Terapan untuk KeandalanApplied Statistics for Reliability
Bahan Kajian
  1. Pengenalan konsep keandalan
  2. Teori probabilitas
  3. Random variable dan expectation
  4. Distribusi
  5. Estimasi titik dan estimasi parameter
  6. Distribusi sampling
  7. Uji kesesuaian
  8. Analisis keandalan komponen
  9. Analisis keandalan system non-repairable
  10. Analisis keandalan sistem repairable
  1. Introduction to reliability concepts
  2. Probability theory
  3. Random variables and probability distributions
  4. Distribusi
  5. Point estimation dan estimasi parameter
  6. Sampling distribution
  7. Goodness of fit test
  8. Component reliability analysis
  9. Non-repairable system reliability analysis
  10. Repairable system reliability analysis
Capaian Pembelajaran Mata Kuliah (CPMK)
  1. Memahami dasar-dasar statistika dan peluang untuk kehandalan.
  2. Mampu memodelkan permasalahan component reliability dengan konsep statistik dan peluang, serta mampu  menyelesaikan permasalahan tersebut.
  3. Mampu memodelkan permasalahan system reliability dengan konsep statistik dan peluang, serta mampu  menyelesaikan permasalahan tersebut.
  4. Memahami konsep dasar serta mampu memodelkan permasalahan kehandalan dan ketersediaan dari perangkat yang dapat diperbaiki (repairable items).
  1. Understand the basics of statistics and opportunities for reliability.
  2. Able to model component reliability problems using statistical and probability concepts, and able to solve these problems.
  3. Able to model system reliability problems using statistical and probability concepts, and able to solve these problems.
  4. Understand basic concepts and be able to model problems of reliability and availability of repairable items.
Metode PembelajaranTatap muka di kelas, Praktikum perangkat lunak.Classroom lectures and Software practicum
Modalitas PembelajaranLuring, sinkron, MandiriOffline, synchronous, and autonomous learning
Jenis NilaiABCDE
Metode PenilaianUjian Tengah Semester Ujian Akhir Semester TugasMidterm Examination, Final Examination, and Assignments
Catatan Tambahan