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19.  Hermansyah, O., Bustamam, A., Yanuar, A., “Virtual Screening
                        of DPP-4 Inhibitors Using QSAR-Based Artiicial Intelligence
                        and Molecular Docking of Hit Compounds to DPP-8 and DPP-
                        9 Enzymes”, Research Square, DOI: https://doi.org/10.21203/
                        rs.2.22282/v2 , 2020.

                    20.  Bustamam, A., Siswantining, T., Kaloka, T. P., Swasti, O.,
                        “Application of BIMAX, POLS, and LCM-MBC to ind bicluster on

                        interactions protein between HIV-1 and human”, Austrian Journal
                        of Statistics, Vol. 49, No. 3, 2020, p.1-18.
                    21.  Kaloka, T. P., Bustamam, A., Sarwinda, D., Abdillah, B., “Detecting
                        Lesion Characteristics of Diabetic Retinopathy Using Machine
                        Learning and Computer Vision”, International Journal on
                        Advanced Science, Engineering, and Information Technology
                        (IJASEIT), Vol. 10, No. 4, 2020, p.1367-1373.


                    Prosiding Internasional (Terindeks)
                    1.  Rahman, A., Bustamam, A., “Deep learning with concatenate

                        model to detect COVID-19 lung disease with CT scan images”, AIP
                        Conference Proceedings, 2391 (1), 020002, 2022.

                    2.  Triyadi, A. B., Bustamam, A., Anki, P., “Deep Learning in Image
                        Classiication using VGG-19 and Residual Networks for Cataract
                        Detection”, IEEE, 293-297, 2022, (2nd International Conference on
                        Information Technology and Education (ICIT&E)).


                    3.  Prawira, R., Bustamam, A., Anki, P., “Multi Label Classiication
                        of Retinal Disease on Fundus Images using AlexNet and VGG16
                        Architectures”, IEEE, 464-468, 2021, (4th International Seminar
                        on Research of Information Technology and Intelligent Systems
                        (ISRITI)).


                    4.  Lumbantoruan, A. A., Bustamam, A., Anki, P., “Retinal Disease
                        for Clasiication Multilabel with Applying Convolutional Neural
                        Networks Based Support Vector Machine and DenseNet”,
                        IEEE, 475-479, 2021, (4th International Seminar on Research of
                        Information Technology and Intelligent Systems (ISRITI)).





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