Lecturer Name:
Prof. Drs. Mustafid, M.Eng. Ph.D.
Study Program:
Statistics (Diponegoro University)
Lecturer Expertise:
Prof. Mustafid’s primary expertise lies in statistical quality control and information systems. This expertise encompasses the development of statistical methods to ensure process and product quality through data analysis techniques, as well as the integration of information systems in data-driven decision-making.
His research focus also extends to the application of statistics in digital technologies, such as data analytics, machine learning, and intelligent analytics. These applications can be found in various fields, including business systems management, consumer behavior analysis, industrial process optimization, and smart system development (e.g., smart cities, e-commerce, and smart agriculture). (stat.fsm.undip.ac.id)
Publication:
Enhancing adaptability and accelerating convergence in non-stationary reinforcement learning via GAN-Q-learning integration
https://doi.org/10.1016/j.eswa.2025.130694
Sales Prediction in Omnichannel Distribution Systems Based on Consumer Behavior Using Process Mining and ARIMAX
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
https://doi.org/10.1063/5.0201234
Minimum, Maximum, and Average Implementation of Patterned Datasets in Mapping Cryptocurrency Fluctuation Patterns
https://doi.org/10.62527/joiv.8.1.1896
Analytical Models in Fintech User Comment Features Using LDA-CNN on Imbalanced Data
https://doi.org/10.22266/ijies2024.0831.90
Performance Measurement in a Custom Production Process Model Using the Process Mining Approach: A Systematic Literature Review
https://doi.org/10.1109/ACCESS.2024.3471234
Q-Learning Energy Management System (Q-EMS) in Wireless Sensor Network
https://doi.org/10.1109/SIML62064.2024.00015
Business intelligence system to support competitive universities
https://doi.org/10.21456/vol3iss1pp18-24 (Undip E-Journal System)
Back-matter
https://doi.org/10.21456/vol11iss2ppix (Undip E-Journal System)