Mata Kuliah TK5103 - 2026

Kode Mata KuliahTK5103 / 4 SKS
Penyelenggara230 - Teknik Kimia / FTI
KategoriKuliah
Bahasa IndonesiaEnglish
Nama Mata KuliahRancangan Percobaan StatistikStatistical Experimental Design
Bahan Kajian
  1. Tinjau kilas statistika deskriptif dan inferensial
  2. Percobaan satu faktor & metode ANOVA
  3. Percobaan faktorial penuh
  4. Percobaan faktorial pecahan
  5. Percobaan non-linier & campuran
  6. Strategi percobaan progresif & optimasi
  1. Overview of descriptive & inferential statistics
  2. One-factor experiments & the ANOVA method
  3. Full factorial experiment
  4. Fractional factorial experiment
  5. Non-linear & mixed experiments
  6. Progressive experimentation & optimization strategy
Capaian Pembelajaran Mata Kuliah (CPMK)
  1. Mampu menganalisis kelakuan & menarik kesimpulan tentang data pengukuran menggunakan konsep & teknik-teknik statistika deskriptif , regresi & inferensial
  2. Mampu memperbandingkan metodologi kajian eksperimental vs. observasi, serta memaparkan sasaran umum & prinsip-prinsip dasar percobaan
  3. Mampu menyusun & menelaah rancangan percobaan satu faktor, dengan mencakup uji kecukupan model ANOVA
  4. Mampu memaparkan peruntukan, menyusun & menelaah rancangan percobaan faktorial penuh & pecahan
  5. Mampu memaparkan peruntukan, menyusun & menelaah rancangan percobaan non-linier & campuran
  6. Mampu memaparkan strategi percobaan progresif & strategi optimasi respons
  1. Able to analyze behavior and draw conclusions about measurement data using descriptive, regression, and inferential statistical concepts and techniques.
  2. Able to compare experimental vs. observational research methodologies, and explain the general objectives and basic principles of experiments
  3. Able to develop and analyze single-factor experimental designs, including model adequacy tests using ANOVA
  4. Able to explain the purpose, compile and review full and fractional factorial experimental designs
  5. Able to explain the purpose, compile and review non-linear and mixed experimental designs
  6. Able to explain progressive experimentation strategies & response optimization strategies
Metode PembelajaranCeramah klasikal, studi kasusClassical lectures, case studies
Modalitas PembelajaranLuring, daring (sebatas untuk penguatan dengan materi asinkronik), pembelajaran kolaboratif / hands-onOffline, online (limited to reinforcement with asynchronous material), collaborative/hands-on learning
Jenis NilaiABCDE
Metode PenilaianUjian, kuis, tugas berkelompokExams, quizzes, group assignments
Catatan Tambahan