Dr. Aris Puji Widodo, S.Si., M.T.

Lecturer Name:

Dr. Aris Puji Widodo, S.Si., M.T.

Study Program:

Lecturer Expertise:
Dr. Aris Puji Widodo specializes in Artificial Intelligence, machine learning, and software engineering. His research focuses on the development of machine learning models for data analysis, image and video processing, and the application of deep learning in various real-world cases.

His research areas include:

  • Development of deep learning models for video analysis, such as expertise classification in laparoscopic surgical videos

  • Natural language processing and figurative language detection in text

  • Data-driven prediction models, including stock price prediction and rainfall forecasting

  • Development of intelligent systems for user interface (UI) testing using few-shot learning approaches

  • Software evolution analysis and software quality assessment

Practically, his expertise is applied in the development of AI-based systems to improve data analysis accuracy, automate software testing, and support data-driven decision making in various domains.

Publications

    1. Comparative Analysis and Exploration of 3DResNet-18 and InceptionV3-GRU with Temporal Segment Network (TSN) Framework for Laparoscopic Surgical Video Expertise Classification
      Link: Not found on scholar.undip.ac.id

    2. Hybrid Deep Learning and Contextual Features for Figurative Language Detection in Product Reviews
      Link: Not found on scholar.undip.ac.id

    3. Predicting Stock Prices of Digital Banks: A Machine Learning Approach Combining Historical Data and Social Media Sentiment from X
      Link: Not found on scholar.undip.ac.id

    4. Quality Improvement on Reusability Sub-Characteristic of Database Stored Program Using ISO/IEC Quality Standards (Case Study: Marketing System)
      Link: Not found on scholar.undip.ac.id

    5. Software Evolution Analysis Based on Software Changelog
      Link: Not found on scholar.undip.ac.id

    6. Enhancing Software User Interface Testing Through Few Shot Deep Learning: A Novel Approach for Automated Accuracy and Usability Evaluation
      Link: https://scholar.undip.ac.id/en/publications/enhancing-software-user-interface-testing-through-few-shot-deep-l/

    7. Rainfall Prediction Model in Semarang City Using Machine Learning
      Link: https://doi.org/10.11591/ijeecs.v30.i2.pp1224-1231

    8. Pengembangan Sistem Informasi Guna Mendukung Pencatatan dan Pelaporan Program Pengendalian Penyakit Diare di Kabupaten Musi Rawas
      Link: https://doi.org/10.14710/jmki.6.2.2018.91-97

    9. PENGEMBANGAN PERANGKAT LUNAK AKADEMIK MENGGUNAKAN TEKNOLOGI WEB 2.0
      Link: https://doi.org/10.14710/jmasif.1.2.2518

    10. Perancangan dan Pengembangan Antarmuka Pengguna Berbasis Task Analysis Model
      Link: https://ejournal.undip.ac.id/index.php/matematika/article/view/1348