Mata Kuliah MS5001 - 2026

Kode Mata KuliahMS5001 / 3 SKS
Penyelenggara231 - Teknik Mesin / FTMD
KategoriKuliah
Bahasa IndonesiaEnglish
Nama Mata KuliahMetodologi Penelitian dan Literasi DigitalResearch Methodology and Digital Literacy
Bahan Kajian
  1. Pengantar: Ilmu Pengetahuan dan Teknologi
  2. Perkembangan Metode Penelitian: Inductivism, Deductivism, Paradigm Theory
  3. Statistik Deskriptif
  4. Statistik Inferensial
  5. Model Regresi
  6. Peran proposal dalam penelitian
  7. Komponen dalam proposal penelitian dan penulisan proposal
  8. Tata Kelola dan etika terhadap data
  9. Definisi Intelegensi Artifisial (IA) dan aplikasi berbasis IA
  10. Tingkatan agen kecerdasan dan jenis pembelajaran mesin
  11. Tahapan dalam supervised learning
  12. Generative AI: teks
  13. Generative AI: non-teks
  14. Etika IA dan Studi Kasus
  1. Introduction: Science and Technology
  2. Development of Research Methods: Inductivism, Deductivism, Paradigm Theory
  3. Descriptive Statistics
  4. Inferential Statistics
  5. Regression Models
  6. The role of proposals in research
  7. Components in research proposals and proposal writing
  8. Data governance and ethics
  9. Definition of Artificial Intelligence (AI) and AI-based applications
  10. Level intelligent agent dan type of machine learning
  11. Stages in supervised learning
  12. Generative AI: text
  13. Generative AI: non-text
  14. IA Ethics and Case Studies
Capaian Pembelajaran Mata Kuliah (CPMK)
  1. Memahami esensi dan tujuan penelitian, konsep dan elemen metodologi penelitian, termasuk paradigm theory
  2. Mampu menentukan topik penelitian, mengidentifikasi dan merumuskan masalah, menentukan kebaruan dan/atau nilai inovatif penelitian
  3. Mahasiswa mampu mengaplikasikan pendekatan Statistika dan IA pada fenomena-fenomena yang ada di sekitarnya dan relevan terhadap bidang keilmuan masing-masing.
  4. Mampu merancang eksperimen atau metode pemerolehan data lainnya sesuai dengan nature keilmuannya
  5. Mampu mengolah data, menganalisis dan melakukan pembahasan serta kesimpulan dari hasil penelitian yang diperoleh
  6. Mampu menentukan research question, hipotesa, dan merancang penelitian
  7. Mampu menyusun suatu proposal penelitian
  8. Mahasiswa mampu melakukan menjelaskan pentingnya kemampuan literasi data dan Inteligensi Artifisial (IA) yang beretika.
  1. Understand the essence and objectives of research, concepts and elements of research methodology, including paradigm theory
  2. Able to determine research topics, identify and formulate problems, determine the novelty and/or innovative value of research
  3. Students are able to apply statistical and IA approaches to phenomena that exist around them and are relevant to their respective scientific fields.
  4. Able to design experiments or other data acquisition methods according to the nature of the science
  5. Able to process data, analyze and conduct discussions and conclusions from the research results obtained
  6. Able to determine research questions, hypotheses, and design research
  7. Able to arrange a research proposal
  8. Students are able to explain the importance of ethical data literacy and Artificial Intelligence (AI) skills.
Metode PembelajaranKuliah tatap muka, diskusi kelompokFace-to-face lectures, group discussions
Modalitas PembelajaranLuring, Mandiri, KelompokOffline, Independent, Group
Jenis NilaiABCDE
Metode PenilaianUjian Tengah Semester, Ujian Akhir Semester, Tugas KelompokMid test, final tes, project group
Catatan Tambahan