Prayitno Publications

Publications

Prayitno, S.ST., M.T., Ph.D. received the B.Sc. degree in computer science from the Politeknik Elektronika Negeri Surabaya, the M.Sc. degree in electrical engineering from the Institute of Technology Bandung, and the Ph.D. degree in computer science and information engineering from the Asia University, Taiwan. He is currently an assistant professor with the department of electrical engineering Politeknik Negeri Semarang (Polines).

Research Topics

  • Artificial Intelligent
  • Machine and Deep Learning
  • Federated Learning
  • AI on Education

Journals

  1. Prayitno, Wiktasari, Aji, N. B., Su’udy, A. H., Safitri, A., Maghfiroh, H., Prasetyo, E., Putra, K. T., & Sunardi. (2025). YOLO-CE for Accurate Livestock Detection in Challenging Landfill Environments. International Journal of Intelligent Engineering and Systems, 18(4), 797–812. Scopus. https://doi.org/10.22266/ijies2025.0531.51 (Scopus Q2)
  2. Triyono, L., Gernowo, R., & Prayitno. (2025). MoNetViT: An efficient fusion of CNN and transformer technologies for visual navigation assistance with multi query attention. Frontiers in Computer Science, 7, 1510252. https://doi.org/10.3389/fcomp.2025.1510252 (Scopus Q2)
  3. Triyono, L., Gernowo, R., & Prayitno. (2024). Optimizing Indoor Navigation Systems Through Ensemble Deep Learning Techniques for ArUco Marker Detection. International Journal of Intelligent Engineering and Systems, 17(6), Article 6. https://doi.org/10.22266/ijies2024.1231.24 (Scopus Q3).
  4. Sunardi, Prayitno, Kamiel, B. P., Saputri, A. D., Muizza, Z. H., & Yobioktabera, A. (2024). Smart Harvest: Web-Integrated Ripeness Detection for Apples with CNN Algorithm. Ingénierie Des Systèmes d Information, 29(6), 2181–2190. https://doi.org/10.18280/isi.290608 (Scopus Q3)
  5. Putra, K., Kusumo, M. P., Prayitno, P., Wicaksana, D., Arrayyan, A. Z., Pratama, S. G., Al-Kamel, M. A., & Chen, H.-C. (2024). Optimizing the Performance of AI Model for Non-Invasive Continuous Glucose Monitoring: Hyperparameter Tuning and Random Oversampling Approach. JOIV : International Journal on Informatics Visualization, 8(2), Article 2. https://doi.org/10.62527/joiv.8.2.2047 (Scopus Q3)
  6. Chen, H.-C.; Prasetyo, E.; Tseng, S.-S.; Putra, K.T.; Prayitno; Kusumawardani, S.S.; Weng, C.-E. Week-Wise Student Performance Early Prediction in Virtual Learning Environment Using a Deep Explainable Artificial Intelligence. Appl. Sci. 2022, 12, 1885. doi: 10.3390/app12041885. https://www.mdpi.com/2076-3417/12/4/1885 (Q2, IF 2.679)
  7. Prayitno, C. R. Shyu, K. T. Putra, H. C. Chen, Y. Y. Tsai, K. S. M. Hossain, W. Jiang, Z. Y. Shae, “A Systematic Review of Federated Learning in the Healthcare Area: From the Perspective of Data Properties and Applications,” Applied Sciences, vol. 11, no. 23. MDPI AG, p. 11191, Nov. 25, 2021. doi: 10.3390/app112311191. https://www.mdpi.com/2076-3417/11/23/11191 (Q2, IF 2.679)
  8. K. T. Putra, H.-C Chen, Prayitno, M. R. Ogiela, C.-L Chou, C.-E Weng, Z.-Y Shae, Federated Compressed Learning Edge Computing Framework with Ensuring Data Privacy for PM2.5 Prediction in Smart City Sensing Applications. Sensors 2021, 21, 4586. doi: 10.3390/s21134586 https://www.mdpi.com/1424-8220/21/13/4586 (Q1, IF 3.576)
  9. Prayitno, P., & Triyono, L. (2017). Development Of Logic And Algorithm E-Training Material With Block Programming. In JAICT (Vol. 2, Issue 1). Politeknik Negeri Semarang. https://doi.org/10.32497/jaict.v2i1.1089

Conferences

  1. Prayitno, P., Kurnianingsih, Charisma, A. M., & Nugroho, R. (2024). Neural Network Analysis For The Detection Of Brain Tumors Using Orange Application. 1102–1109. https://doi.org/10.2991/978-94-6463-364-1_100
  2. Trinanda Putra, K., Zidni, H., Turrizka, R., Chu, H.-T., Vu, D.-T., & Prayitno. (2024). An 8-bit Quantized Globalization Model for Cat Skin Disease Detection Using Convolutional Neural Networks and TensorFlow Lite. 2024 International Conference on Information Technology and Computing (ICITCOM), 323–327. https://doi.org/10.1109/ICITCOM62788.2024.10762204
  3. K. T. Putra, Prayitno, E. F. Cahyadi, A. S. Mamonto, S. S. Berutu and S. Muharom, “Forecasting Air Quality Using Massive-Scale WSN Based on Convolutional LSTM Network,” 2021 1st International Conference on Electronic and Electrical Engineering and Intelligent System (ICE3IS), 2021, pp. 1-6, doi: 10.1109/ICE3IS54102.2021.9649763.
  4. Chen, H.-C., Prasetyo, E., Prayitno, Kusumawardani, S. S., Tseng, S.-S., Kung, T.-L., & Wang, K.-Y. (2021). Learning Performance Prediction with Imbalanced Virtual Learning Environment Students’ Interactions Data. In Innovative Mobile and Internet Services in Ubiquitous Computing (pp. 330–340). Springer International Publishing. https://doi.org/10.1007/978-3-030-79728-7_33
  5. Ardjo, A. S., Wardihani, E. D., & Prayitno, P. (2021). Android based maintenance information system for machining workshop in polytechnic high education. In IOP Conference Series: Materials Science and Engineering (Vol. 1108, Issue 1, p. 012047). IOP Publishing. https://doi.org/10.1088/1757-899x/1108/1/012047

Books / Chapters

  1. Tri Raharjo Yudantoro, Moh Djaeni, Rizal Isnanto, Praytino. (2025). Klasifikasi Cabai Rawit menggunakan model CNN: Dari Persiapan Dataset Hingga Evaluasi Model. Penerbit: UNDIP Press. ISBN: 978-623-417-479-3.
  2. Liliek Triyono, Rahmat Gernowo, Prayitno. (2025). Integrating Artificial Intelligence And Assistive Technologies To Enhance Accessibility For The Visually Imapired. Penerbit: PT. Dewangga Energi Internasional. ISBN: 9786238675876
  3. Rahaman, M., Lin, C. Y., Rachmat, I., & Bansal, R, Prayitno. (2024). Implementing Hyperledger Fabric in Blockchain-Driven Healthcare Management Systems. CRC Press. https://www.taylorfrancis.com/chapters/edit/10.1201/9781003207573-7/secure-health-features-mosiur-rahaman-chun-yuan-lin-ikbal-rachmat-ritika-bansal-prayitno
  4. Eko Prasetyo, Prayitno, Sunardi. (2021). Pengantar Teknologi Blockchain aplikasi terdesentralisasi. Penerbit: Universitas Muhammadiyah Yogyakarta (UMY) Press. ISBN: 9786236299418
  5. Prayitno. (2019). Master code of Laravel. Penerbit: Politeknik Negeri Semarang (Polines). ISBN: 9786021673553
  6. Prayitno. (2018). Pemrograman perangkat bergerak. Penerbit: Politeknik Negeri Semarang (Polines). ISBN: 9786021673409