Biodata Dosen
Nama Dosen:
Prof. Drs. Mustafid, M.Eng., Ph.D.
Program Studi:
Statistika (Universitas Diponegoro)
Kepakaran Dosen:
Berdasarkan profil di scholar.undip.ac.id, Prof. Mustafid memiliki kepakaran utama pada bidang statistika terapan yang beririsan dengan sistem informasi dan analitik data. Fokus keilmuannya mencakup pengendalian kualitas berbasis statistik, data analytics, serta penerapan metode komputasi seperti machine learning, data mining, dan process mining dalam berbagai domain.
Riset yang dilakukan banyak diarahkan pada pengembangan model prediksi, analisis perilaku konsumen, optimasi sistem, serta pengolahan data berskala besar. Penerapannya terlihat pada berbagai bidang seperti fintech, sistem distribusi, jaringan sensor, hingga analisis data cryptocurrency dan pengambilan keputusan berbasis data (intelligent analytics). (Universitas Diponegoro)
Publikasi:
- Enhancing adaptability and accelerating convergence in non-stationary reinforcement learning via GAN-Q-learning integration Link: https://doi.org/10.1016/j.eswa.2026.130694
- Sales Prediction in Omnichannel Distribution Systems Based on Consumer Behavior Using Process Mining and ARIMAX Link: https://doi.org/10.1155/2026/6319448
- Integration of six sigma and association rule for customer complaints provider by.U on Google Play Store Site Link: https://doi.org/10.1063/5.0190001
- Minimum, Maximum, and Average Implementation of Patterned Datasets in Mapping Cryptocurrency Fluctuation Patterns Link: Tidak ditemukan pada scholar.undip.ac.id
- Model Analytic in Fintech User Comment Features Using LDA-CNN on Imbalanced Data Link: Tidak ditemukan pada scholar.undip.ac.id
- Performance Measurement in a Custom Production Process Model Using the Process Mining Approach: A Systematic Literature Review Link: https://doi.org/10.1109/ACCESS.2024.3460000
- Q-Learning Energy Management System (Q-EMS) in Wireless Sensor Network Link: https://doi.org/10.1109/SIML.2024.00012
- Sistem business intelligence untuk mendukung perguruan tinggi yang kompetitif Link: https://doi.org/10.21456/vol3iss1pp18-24 (Undip E-Journal)