Mata Kuliah LO5102 - 2026

Kode Mata KuliahLO5102 / 3 SKS
Penyelenggara294 - Logistik / FTI
KategoriKuliah
Bahasa IndonesiaEnglish
Nama Mata KuliahMetode StatistikaStatistics Method
Bahan Kajian
    1. Role of probability & statistics in logistics and supply chain
    2. Descriptive statistics
    3. Probability and random variables
    4. Probability functions of discrete and continuous random variables
    5. Basic of inferential statistics: statitistical estimation and hypothesis testing
    6. Regression analysis
    7. Time series analysis and forecasting
    8. Analysis of variance and basic of design of experiments
    9. Statistical quality control
    10. Cluster analysis
    11. Big data analytics in logistics and supply chain
    Capaian Pembelajaran Mata Kuliah (CPMK)
    1. Memahami prinsip dasar probabilitas dan statistika dan relevansinya dengan sistem logistik dan rantai pasokan.
    2. Mampu menerapkan model-model probabilitas dan statistika yang sesuai untuk memecahkan per untuk mengoptimalkan operasi logistik dan meningkatkan kinerja rantai pasokan.
    3. Mahir dalam menggunakan perangkat lunak statistik untuk pemodelan dan analisis data.
    4. Mampu menentukan model-model probabilitas dan statistika yang tepat untuk menyelesaikan permasalahan empiris dalam konteks sistem logistik dan rantai pasok
    5. Mampu melakukan interpretasi dan analisis kritis atas data statistik menggunakan model-model probabilitas dan statistika yang tepat dan membuat keputusan berdasarkan hasil analisis tersebut dalam bidang logistik dan manajemen rantai pasokan
    1. Understand the basic principles of probability and statistics and their relevance to logistics and supply chain systems.
    2. Able to apply appropriate probability and statistical models to solve problems to optimize logistics operations and improve supply chain performance.
    3. Proficient in using statistical software for data modeling and analysis.
    4. Able to determine appropriate probability and statistical models to solve empirical problems in the context of logistics and supply chain systems.
    5. Able to interpret and critically analyze statistical data using appropriate probability and statistical models and make decisions based on the results of the analysis in the field of logistics and supply chain management.
    Metode PembelajaranProses belajar dalam kelas Diskusi, Penugasan terstruktur Kegiatan mandiriLearning process in class Discussion, Structured assignments Independent activities
    Modalitas PembelajaranLecture,Discussion, Case Study, Problem-Based Learning,Flipped Classroom, Online Learning, Blended LearningLecture, Discussion, Case Study, Problem-Based Learning, Flipped Classroom, Online Learning, Blended Learning
    Jenis NilaiABCDE
    Metode PenilaianUTS; UAS; Kuis; Tugas/PresentasiMidterm Exam; Final Exam; Quiz; Assignment/Presentation
    Catatan Tambahan