Mata Kuliah TI6046 - 2026

Kode Mata KuliahTI6046 / 3 SKS
Penyelenggara234 - Teknik dan Manajemen Industri / FTI
KategoriKuliah
Bahasa IndonesiaEnglish
Nama Mata KuliahAnalisis Data Statistik LanjutAdvanced Statistical Data Analysis
Bahan Kajian
  1. Regresi Linear Majemuk Klasik dan Logit
  2. Model Multinomial dan conditional logit
  3. Analisis efek moderasi dan interaksi dalam model regresi
  4. Analisis efek mediasi
  5. Analisis regresi multilevel
  6. Latent class analysis
  7. Pengantar structural equation modeling (SEM)
  8. Confirmatory factor analysis
  9. Structural equation modeling untuk multigrup
  10. Structural equation modeling untuk data hierarkis (Multilevel SEM)
  11. SEM dengan metode partial least square (PLS)
  1. Classical and Logit Multiple Linear Regression
  2. Multinomial and conditional logit models
  3. Analysis of moderation and interaction effects in regression models
  4. Analysis of mediation effects
  5. Multilevel regression analysis
  6. Latent class analysis
  7. Introduction to structural equation modeling (SEM)
  8. Confirmatory factor analysis
  9. Structural equation modeling for multigroups
  10. Structural equation modeling for hierarchical data (Multilevel SEM)
  11. SEM with partial least squares (PLS) method
Capaian Pembelajaran Mata Kuliah (CPMK)
  1. Mahasiswa memahami konsep dasar model-model regresi linear, logit, multinomial logit, latent class analysis, dan structural equation model baik untuk single level dan single group sampai dengan multigroup dan multilevel
  2. Mahasiswa mampu menerapkan mengolah, menginterpretasikan, dan menganalisis data menggunakan model-model regresi linear, logit, multinomial logit, latent class analysis, dan structural equation model baik untuk single level dan single group sampai dengan multigroup dan multilevel
  3. Mahasiswa mahir dalam menggunakan perangkat lunak statistik untuk pemodelan dan analisis data menggunakan model-model regresi linear, logit, multinomial logit, latent class analysis, dan structural equation model baik untuk single level dan single group sampai dengan multigroup dan multilevel.
  4. Mahasiswa mampu menerjemahkan permasalahan riset empiris terkini ke dalam model-model statistika kontemporer yang tepat untuk menyelesaikan permasalahan empiris dalam bidang teknik dan manajemen industri
  1. Students understand the basic concepts of linear regression models, logit, multinomial logit, latent class analysis, and structural equation models for both single level and single group up to multigroup and multilevel.
  2. Students are able to apply processing, interpreting, and analyzing data using linear regression models, logit, multinomial logit, latent class analysis, and structural equation models for both single level and single group up to multigroup and multilevel.
  3. Students are proficient in using statistical software for data modeling and analysis using linear regression models, logit, multinomial logit, latent class analysis, and structural equation models for both single level and single group up to multigroup and multilevel.
  4. Students are able to translate current empirical research problems into appropriate contemporary statistical models to solve empirical problems in the fields of industrial engineering and management.
Metode PembelajaranProses belajar dalam kelas Diskusi Penugasan terstruktur Kegiatan mandiriClassroom learning process Discussion Structured assignments Independent activities
Modalitas PembelajaranLecture, Discussion, Case Study, Problem-Based Learning, Online LearningLecture, Discussion, Case Study, Problem-Based Learning, Online Learning
Jenis NilaiABCDE
Metode PenilaianUTS; UAS; Kuis; Tugas/PresentasiMidterm Exam; Final Exam; Quiz; Assignment/Presentation
Catatan Tambahan