Mata Kuliah TI5002 - 2026

Kode Mata KuliahTI5002 / 3 SKS
Penyelenggara234 - Teknik dan Manajemen Industri / FTI
KategoriKuliah
Bahasa IndonesiaEnglish
Nama Mata KuliahAnalisis Data dan StatistikData and Statistic Analysis
Bahan Kajian
  1. 1. Pengantar analisis data dan statistika multivariat
  2. 2. Analisis Regresi Linear Majemuk
  3. 3. Analisis Regresi Non-linear (Logit)
  4. 4. Analisis Faktor Eksploratori
  5. 5. Analisis Klaster dan Kelas Laten
  6. 6. Structural equation modeling
  7. 7. Pengantar perancangan eksperimen
  8. 8. Analisis variansi completely randomized design, post-hoc analysis, dan analisis kontras
  9. 9. Analisis variansi multifaktor dan desain blok
  10. 10. Analisis variansi desain faktorial sebagian
  11. 11. Metodologi response surface design
  1. Introduction to data analysis and multivariate statistics
  2. Multiple Linear Regression Analysis
  3. Non-linear Regression Analysis (Logit)
  4. Exploratory Factor Analysis
  5. Analisis Klaster dan Kelas Laten
  6. Structural equation modeling
  7. Introduction to experimental design
  8. Analysis of variance completely randomized design, post-hoc analysis, and contrast analysis
  9. Multifactor analysis of variance and block design
  10. Partial factorial design analysis of variance
  11. Metodologi response surface design
Capaian Pembelajaran Mata Kuliah (CPMK)
  1. Memahami prinsip-prinsip dasar analisis dan kerangka umum pengolahan, interpretasi, serta analisis data dan statistik untuk penelitian empiris
  2. Memahami dan menerapkan kerangka umum pengumpulan, pengolahan, interpretasi serta analisis data statistika memanfaatkan metode desain eksperimen
  3. Memahami perkembangan alat analisis data statistik terkini dan mampu menentukan pilihan alat analisis yang tepat untuk situasi permasalahan yang dihadapi
  1. Understand the basic principles of analysis and the general framework for processing, interpreting, and analyzing data and statistics for empirical research.
  2. Understand and apply the general framework for collecting, processing, interpreting and analyzing statistical data using experimental design methods.
  3. Understand the development of the latest statistical data analysis tools and be able to determine the right choice of analysis tools for the problem situation faced.
Metode PembelajaranCeramah Diskusi Studi Kasus Project Based LearningLecture Discussion Case Study Project-Based Learning
Modalitas PembelajaranVisual dan auditorial Sinkronous melalui kuliah luring di kelas Asinkronous melalui materi video pembelajaran onlineVisual and auditory Synchronous through offline classroom lectures Asynchronous through online video learning materials
Jenis NilaiABCDE
Metode PenilaianQuiz Ujian Tengah Semester Ujian Akhir Semester Tugas Proyek KelasQuiz Midterm Exam Final Exam Assignments Class Projects
Catatan Tambahan