Dr. Retno Kusumaningrum, S.Si., M.Kom.

Lecturer Name:

Dr. Retno Kusumaningrum, S.Si., M.Kom.

Study Program:

Lecturer Expertise:
Dr. Retno Kusumaningrum specializes in machine learning and artificial intelligence, with a focus on developing intelligent computational methods for processing complex data. Her expertise includes computer vision, pattern recognition, natural language processing (NLP), topic modeling, and deep learning.

Her research mainly focuses on:

  • Image and video analysis, such as object detection and visual classification including face mask detection and vehicle license plate recognition

  • Natural language processing, including deep learning–based sentiment analysis and BERT models for understanding user opinions

  • Topic modeling and large-scale text analysis

  • Applications of machine learning in various domains such as student feedback evaluation, hotel review analysis, and intelligent data-driven systems

Practically, her expertise is applied in the development of AI-based intelligent systems for decision making, user behavior analysis, and the automation of analytical processes across various digital sectors.

Publications

  1. A Comparative Study of ETS, ARIMA, and Reconciliation Techniques for Hierarchical Product Forecasting in Retail SMEs
    Link: Not found on scholar.undip.ac.id

  2. Automated Feedback Generation on Open Ended Questions using BART
    Link: Not found on scholar.undip.ac.id

  3. Classification of American Sign Language Using EfficientNETV2B0 Architecture
    Link: Not found on scholar.undip.ac.id

  4. Combination of HAAR, HOG, and LBP Descriptors for Enhanced Classification of Moving Objects and Motorcyclists Wearing Helmets
    Link: Not found on scholar.undip.ac.id

  5. EfficientNet Model for Multiclass Classification of The Correctness of Wearing Face Mask
    Link: Not found on scholar.undip.ac.id

  6. Enhanced Automatic License Plate Detection and Recognition using CLAHE and YOLOv11 for Seat Belt Compliance Detection
    Link: Not found on scholar.undip.ac.id

  7. Deep Learning-Based Application for Multilevel Sentiment Analysis of Indonesian Hotel Reviews
    Link: https://doi.org/10.1016/j.heliyon.2023.e17147