{"id":3976,"date":"2018-11-09T11:13:53","date_gmt":"2018-11-09T04:13:53","guid":{"rendered":"https:\/\/www.its.ac.id\/matematika\/?page_id=3976"},"modified":"2026-07-29T08:32:04","modified_gmt":"2026-07-29T01:32:04","slug":"budi-setiyono","status":"publish","type":"page","link":"https:\/\/www.its.ac.id\/matematika\/dosen-staf\/daftar-dosen\/budi-setiyono\/","title":{"rendered":"Dr. Budi Setiyono, S.Si., M.T."},"content":{"rendered":"

[vc_row][vc_column width=”1\/4″][vc_empty_space][dot_sidebar_menu select_menu=”sidebar-dosen-staf”][vc_empty_space][join_help_box type=”help”][\/vc_column][vc_column width=”3\/4″][vc_empty_space][dot_custom_title position_text=”left” title=”Dr. Budi Setiyono, S.Si., M.T.”][\/dot_custom_title][vc_row_inner][vc_column_inner width=”1\/3″][vc_single_image image=”12538″ img_size=”full” alignment=”center”][\/vc_column_inner][vc_column_inner width=”2\/3″][vc_column_text]<\/p>\n\n\n\n\n\n\n
Email<\/td>\nmasbudisetiyono@gmail.com; budisetiyono@its.ac.id;<\/span><\/td>\n<\/tr>\n
Ruang<\/td>\nRuang Kepala Laboratorium Pemrograman dan Komputasi Visual, Dept. Matematika \u2013 Gedung U, Lt 4<\/td>\n<\/tr>\n
Professional membership<\/td>\nINDOMS, IAENG, IEEE<\/td>\n<\/tr>\n
Profil<\/td>\nScholar<\/a> Scholar-ITS<\/a>\u00a0Scopus<\/a> Sinta<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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Research interest<\/strong><\/h3>\n
    \n
  • Digital Image Processing<\/li>\n
  • Computational Mathematics<\/li>\n
  • Database and Information System<\/li>\n<\/ul>\n

    Education <\/strong><\/h3>\n
      \n
    • Doctoral Degree<\/strong>, Telematics – Department of Electrical Engineering, Institut Teknologi Sepuluh Nopember, Indonesia.<\/li>\n
    • Master <\/strong>Degree<\/strong>, Master’s Program in Informatics, Institut Teknologi Bandung,\u00a0 Indonesia.<\/li>\n
    • Bachelor Degree<\/strong>, Department of Mathematics, Institut Teknologi Sepuluh Nopember,\u00a0<\/strong> Indonesia.<\/li>\n<\/ul>\n

      Professional activities and membership<\/h3>\n
        \n
      1. Editorial Board of IJCSAM (International Journal of Computing Science and Applied Mathematics)<\/li>\n
      2. Member of IAENG (International Association of Engineers)<\/li>\n
      3. Member of Indonesian Mathematical Society (INDOMS)<\/li>\n
      4. Member of Electrical and Electronics Engineers (IEEE) <\/span><\/span><\/li>\n<\/ol>\n

        Experience<\/h3>\n
          \n
        1. Head of Programming and Visual Computing Laboratory (2025 \u2013 present)<\/li>\n
        2. Secretary 2 of Mathematics Department (Finance, Resources, and Planning Secretary), Faculty of Science and Data Analytics, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia (2020-2024)<\/strong><\/li>\n
        3. Coordinator of Information Management and Database Commission \u2013 INDOMS PUSAT (2022 \u2013 2024)<\/li>\n
        4. Coordinator of Information Management, Database and Documentation Commission \u2013 INDOMS PUSAT (2020 \u2013 2022)<\/li>\n
        5. Information Management and Database Commission \u2013 INDOMS Jawa Timur (2018 \u2013 2020)<\/li>\n
        6. Head of Pendidikan Ahli Pemrograman Sistem Informasi \u2013 PAPSI ITS (2014 \u2013 2019)<\/li>\n<\/ol>\n

          Head of Pendidikan Ahli Pemrograman Sistem Informasi \u2013 PAPSI ITS (2004 \u2013 2006)<\/p>\n

          Intellectual Property Rights<\/strong><\/h3>\n
            \n
          1. Modul Praktikum Pemrograman Berorientasi Obyek –\u00a0\u00a0Application Number : EC002023110492<\/li>\n
          2. Aplikasi Sistem Informasi Perpustakaan (SIMPUS) –\u00a0Application Number : EC002023110479<\/li>\n
          3. Video Pengabdian Kepada Masyarkat : Pengembangan Aplikasi Tata Kelola Dan Tracking Persuratan ((eTrack) Sebagai Pendukung Digital Smart School. – Application Number :: EC002022101060<\/li>\n<\/ol>\n

            Awards\/Recognition<\/strong><\/h3>\n
              \n
            1. Patriot Expedition Team Leader – Ministry of Transmigration, Republic of Indonesia, Kobalima Timur NTT – 2025-2026<\/li>\n
            2. University Lead for Incubation Team in Bangkit (Google) – One of the national-level winners of 2022<\/li>\n
            3. Dwidya Satya Madya Recognition – As a civil servant for more than 25 years – 2022<\/li>\n<\/ol>\n

              Publications <\/strong>(<\/strong>Recent<\/strong> Journal<\/strong>s<\/strong> and Conferences) <\/strong><\/h3>\n
                \n
              1. Hybrid Quantum Capsule Network : Quantum Transformation Circuit as Vote Transformation in Image Classification, IEEE Transactions on Quantum Engineering \u2013 2026<\/li>\n
              2. Deep learning for fog detection and prediction: A systematic review with an adapted quality assessment framework, Array, Vol.30, 2026<\/li>\n
              3. Exploration of the Utilization of Information Technology in Transmigration Planning , Journal of Engineering Science and Technology, Vol. 21, Issue 1, 2026.<\/li>\n
              4. Recurrent Residual U-Net for Borescope Crack Segmentation in Aero-Engine, – IEEExplore, 19 Januari 2026<\/li>\n
              5. Comparative Analysis of KNN and SVM Classifiers for Brain Tumor Detection Using GLCM, Shape, and Color Features \u2013 IEEExplorer, 19 Februari 2026<\/li>\n
              6. Brain Tumor MRI Classification Using Weighted Fractional Fourier Transform and K-Nearest Neighbor \u2013 IEEExplorer, 26 Februari 2026<\/li>\n
              7. U-Net-Based Segmentation of Disease-Affected Areas in Rice Fields Using Aerial Imagery \u2013 IEEExplorer, 29 Desember 2025<\/li>\n
              8. Accident Detection with Capsule Network by Quantum Trace Distance-based Routing \u2013 IEEExplorer, 29 Desember 2025<\/li>\n
              9. A Hybrid Method Based on Haris Corner and Maximally Stable Extremal Regions for Vehicle Plate Number Detection, International Journal of Computing, Volume 23, Issue 3, 2024<\/li>\n
              10. A Modification of the Temporal Group AttentioMethod on Super-Resolution Video for Vehicle Number Plate Detection, Journal of Information Hiding and Multimedia Signal Processing, Volume 15, issue 3, 2024<\/li>\n
              11. Adaptive neuro-fuzzy inference system for identification of rice plant diseases, AIP Conference Proceedings, Volume 3029, Issue 1, 2024<\/li>\n
              12. Harris corner method for video-based vehicle number plate detection, AIP Conference Proceedings, Volume 3029, Issue 1, 2024<\/li>\n
              13. Image encryption using elliptic curve Diffie-Hellman method and discrete wavelet transform, AIP Conference Proceedings, Volume 2614, Issue 1, 2023<\/li>\n
              14. Operator-N Layer Construction for Optimizing Capsule Network Methods in Image Classification Problems, Journal of Information Hiding and Multimedia Signal Processing, No. 3 Vol. 14, 2023<\/li>\n
              15. The calculation of vehicles violating road markings at traffic lights based on user-defined markers, Kongzhi yu Juece\/Control and Decision, No. 5 Vol. 38,\u00a0 2023<\/li>\n
              16. Distance estimation between moving objects using monocular camera, AIP Conference Proceedings, Volume 2540, Issue 1, 2023<\/li>\n
              17. Detection of Brain Tumors on MRI Images using Active Contour 3Segmentation and Convolutional N4eural Network, AIP Conference Proceedings, Volume 2641, Issue 1, 2022<\/li>\n
              18. Big Data Prototype Development in Hadoop Ecosystem using HDFS and MapReduce as The Parallel Comput8ation Model \u2013 Case Study: Samples of Intelligent Transportation of Surabaya City, AIP Conference Proceedings, Volume 2641, Issue 1, 2022<\/li>\n
              19. A hybrid approach to multi-depot multiple travelling salesman problem based on firefly algorithm and ant colony optimization, IAES International Journal of Artificial Intelligence 10 (4), 2021<\/li>\n
              20. Classification of Damaged Road Types Using Multiclass Support Vector Machine (SVM), Journal of Physics: Conference Series 1821 (1), 2021<\/li>\n
              21. Number plate recognition on vehicle using YOLO \u2013 Darknet, Journal of Physics: Conference Series 1821 (1) , 2021<\/li>\n
              22. Estimation of Vehicle Speed at Night Based on Rear Lights, Journal of Physics: Conference Series 1752 (1) , 2021<\/li>\n
              23. Measurement of Crack Damage Dimensions on Asphalt Road Using Gabor Filter, Journal of Physics: Conference Series 1752 (1) , 2021<\/li>\n
              24. The rain noise reduction using guided filter to improve performance of vehicle counting, International Journal of Innovative Computing, Information and Control 16 (4), 2020<\/li>\n
              25. Vehicle detection using histogram of oriented gradients and real adaboost, Journal of Physics: Conference Series 1490 (1) , 2020<\/li>\n
              26. Classification and Counting of Moving Vehicle at Night with Similarity of Rear Lamp, Journal of Physics: Conference Series 1490 (1), 2020<\/li>\n
              27. Rice disease classification based on leaf image using multilevel Support Vector Machine (SVM), Journal of Physics: Conference Series 1490 (1), 2020<\/li>\n
              28. Detection and counting potholes using morphological method from road video, AIP Conference Proceedings 2242 () , 2020<\/li>\n
              29. Rain removal using guided image filtering for surveillance videos, 2019 International Conference on Information and Communications Technology, ICOIACT 2019 (), 2019<\/li>\n
              30. Software development to predict the level of paddy production using Gaussian Copula Marginal Regression, Journal of Physics: Conference Series 1218 (1), 2019<\/li>\n
              31. The application of statistic image analysis for classification of breast cancer based on mammograms, Journal of Physics: Conference Series 1218 (1), 2019<\/li>\n
              32. Multi-vehicle speed detection using Euclidean distance based on video processing, International Journal of Computing 18 (4), 2019<\/li>\n
              33. Road defect classification using Gray Level Co-Occurrence Matrix (GLCM) and Radial Basis Function (RBF), Proceedings of 2018 10th International Conference on Information Technology and Electrical Engineering: Smart Technology for Better Society, ICITEE 2018 (), 2018<\/li>\n
              34. Moving Vehicle Classification Using Pixel Quantity Based on Gaussian Mixture Models, 2018 3rd International Conference on Computer and Communication Systems, ICCCS 2018 (), 2018<\/li>\n
              35. Tracking and people counting using Particle Filter Method, Journal of Physics: Conference Series 974 (1) , 2018<\/li>\n
              36. Improvement of sub-region matching illumination transfer in hybrid shadow removal method for moving vehicle video, International Journal of Engineering and Technology(UAE) 7 (4), 2018<\/li>\n
              37. Super-resolution imaging applied to moving object tracking, Journal of Physics: Conference Series 893 (1) , 2017<\/li>\n
              38. Vehicle speed detection based on Gaussian mixture model using sequential of images, Journal of Physics: Conference Series 890 (1) , 2017<\/li>\n
              39. Web-based decision support system to predict risk level of long term rice production, Journal of Physics: Conference Series 890 (1) , 2017<\/li>\n
              40. A new algorithm for small object tracking based on super-resolution technique, AIP Conference Proceedings 1867 () , 2017<\/li>\n
              41. Bullet Image Classification using Support Vector Machine (SVM), Journal of Physics: Conference Series 693 (1) , 2016<\/li>\n
              42. Bullets defect detection based on digital image processing using line detection and fuzzy sets, Global Journal of Pure and Applied Mathematics 11 (4), 2015<\/li>\n
              43. Survey of super-resolution using phased-based image matching, Journal of Theoretical and Applied Information Technology 43 (2) , 2012<\/li>\n
              44. Critical set of caterpillar graph for secret sharing scheme, Journal of Combinatorial Mathematics and Combinatorial Computing 65 (), 2008<\/li>\n<\/ol>\n

                Research and Development Project<\/strong><\/h3>\n
                  \n
                1. Penerapan Model Deep Learning untuk Deteksi Retak Pada Jalan Beton Berdasarkan Data Video Dana ITS \u2013 Riset Penugasan (non konsorsium) – 2026<\/li>\n
                2. Pengembangan Model Hibryd InceptionV3\u2013BiLSTM untuk Pengenalan Perilaku Pengemudi pada Sistem Kendaraan Cerdas Dana ITS \u2013 Riset Penugasan (non konsorsium) \u2013 2026<\/li>\n
                3. Deep Learning for Fog Detection and Prediction: A Systematic Review with an Adapted Quality Assessment Framework – Dana ITS – Penelitian Nusantara, 2026<\/li>\n
                4. Pengembangan Model Prediksi Perilaku Penyeberang Jalan Berbasis Video menggunakan Convolutional Neural Network dan BOT-SORT sebagai Pendukung Sistem Keselamatan Lalu Lintas – Penelitian Keilmuan QS Subject Rangking program Equity \u2013 WCU, 2025<\/li>\n
                5. Pengembangan Metode Quantum Capsule Network sebagai Pendekatan Baru dalam Deteksi Kecelakaan Lalu Lintas sebagai Pendukung Sistem Transportasi Cerdas – Penelitian Disertasi Doktor, 2025<\/li>\n
                6. Pendeteksian Area Lahan Persawahan Berpenyakit Menggunakan Model Attention U-Net dengan Data Citra UAV untuk Mendukung Ketahanan Pangan – Penelitian Kompetitif Nasional \u2013 PFR, 2025<\/li>\n
                7. Tinjauan Literatur Sistematis tentang Kombinasi Pendekatan Komputasi Kuantum dengan Teknik Deep Learning untuk Klasifikasi Citra Penelitian – Dana Lokal \u2013 ITS, 2025<\/li>\n
                8. Konstruksi Pengembangan Quantum Convolutional Neural Network pada Sistem Deteksi Kecelakaan Lalu Lintas sebagai Pendukung Intelligent Transportation System \u2013 Penelitian Disertasi Doktor \u2013 2024<\/li>\n
                9. Penerapan Metode Musicrecnet untuk Klasifikasi Genre Musik Menggunakan Fusi Citra Berbasis Wavelet dan Spectogram \u2013 Penelitian Keilmuan ITS \u2013 2024<\/li>\n
                10. Penambahan Filter Kalman pada Model Strong Sort untuk Multi Object Tracking Sebagai Metode \u00a0Peningkatan Akurasi Penghitungan Kendaraan dalam Sistem Transportasi Cerdas. \u2013 Penelitian Keilmuan ITS \u2013 2024<\/li>\n
                11. Pengembangan Model Deep Learning untuk Indentifikasi Penyakit Tanaman Padi berbasis Citra Superresolusi menggunakan UAV (Unmanned Aerial Vehicle) \u2013 Penelitian Fundamental Reguler \u2013 2024<\/li>\n
                12. Peningkatan akurasi deteksi dan rekognisi TNKB pada kendaraan bergerak menggunakan LVQ berbasis citra superresolusi sebagai pendukung Electronic Traffic Law Enforcement (ETLE) \u2013 Penelitian Kompetitif Nasional \u2013 2023<\/li>\n
                13. Deteksi Pelanggaran Marka Jalan menggunakan Transformasi Hough sebagai Pendukung Transportasi Cerdas \u2013 Penelitian Keilmuan ITS \u2013 2023<\/li>\n
                14. Herbalib : Aplikasi Mobile Berbasis Android untuk Identifikasi Tanaman Obat Indonesia Menggunakan Metode Convolutional Neural Network (CNN) \u2013 Penelitian Dasar Kompetitif Nasional \u2013 2022<\/li>\n
                15. Super resolusi Video pada Identifikasi Plat Nomor Kendaraan Bergerak menggunakan Metode Temporal Group Attention (TGA). \u2013 Penelitan magister \u2013 2022<\/li>\n
                16. Pengembangan Metode Hybrid untuk Otomasi Deteksi Tanda Nomor Kendaraan Bermotor (TNKB) berbasis Metode Haris Corner dan Maximally Stable Extremal Regions pada Video Kendaraan Bergerak \u2013 Dana ITS \u2013 2022<\/li>\n
                17. Penerapan Transformasi Wavelet dalam Proses Penyisipan Text File Audio \u2013 Penelitian Departemen \u2013 2021<\/li>\n
                18. Sistem Robust terhadap Noise pada Tracking dan Counting Kendaraan Bergerak Berbasis Pengolahan Video sebagai Pendukung Manajemen Transportasi Cerdas. \u2013 Penelitian Dasar Unggulan Perguruan Tinggi (Tahun 2) \u2013 2020<\/li>\n
                19. Implementasi Deep Learning dalam klasifikasi dan counting kendaraan bergerak sebagai pendukung Traffic Management System (TMS) \u2013 Penelitian Magister \u2013 2020<\/li>\n
                20. Pengembangan metode detector siang\/malam berbasis pengolahan video untuk tracking dan counting kendaraan bergerak secara adaptif \u2013 Penelitan magister \u2013 2020<\/li>\n
                21. Sistem Inspeksi Kerusakan Jalan Secara Otomatis Berdasarkan Citra Digital \u2013 Penelitian Pendukung Unggulan Perguruan Tinggi \u2013 2019<\/li>\n
                22. Sistem Robust terhadap Noise pada Tracking dan Counting Kendaraan Bergerak Berbasis Pengolahan Video sebagai Pendukung Manajemen Transportasi Cerdas. \u2013 Penelitian Dasar Unggulan Perguruan Tinggi (Tahun 1) \u2013 2019<\/li>\n
                23. Sistem Deteksi Kecepatan Kendaraan berbasis Pengolaha Citra sebagai Pendukung Manajemen Transportasi \u2013 Penelitian Pendukung Unggulan Perguruan Tinggi \u2013 2018<\/li>\n
                24. Sistem Inspeksi Kerusakan Jalan Secara Otomatis Berdasarkan Citra Digital \u2013 Penelitian Pendukung Unggulan Perguruan Tinggi \u2013 2018<\/li>\n
                25. Sistem Deteksi Kecepatan Kendaraan berbasis Pengolaha Citra sebagai Pendukung Manajemen Transportasi \u2013 Penelitian Pendukung Unggulan Perguruan Tinggi \u2013 2017<\/li>\n
                26. Pelacakan dan Perhitungan Orang Menggunakan Metode Particel Filter \u2013 Penelitian Laboratorium \u2013 2017<\/li>\n
                27. Rancang Bangun Aplikasi Counting Kendaraan berbasis Citra Digital Menggunakan Metode Gaussian Mixture Model untuk Meningkatkan Manajemen transportasi (Tahun 2) \u2013 Penelitian Unggulan Perguruan Tinggi (Tahun 2) \u2013 2016<\/li>\n
                28. Pengembangan Algoritma untuk Deteksi dan Tracking Obyek dengan presisi tinggi berbasis superresolution \u2013 Penelitian Pendukung Unggulan Perguruan Tinggi \u2013 2016<\/li>\n
                29. Rancang Bangun Aplikasi Couting Kendaraan berbasis Citra Digital Menggunakan Metode Gaussian Mixture Model untuk Meningkatkan Manajemen transportasi (Tahun 1) \u2013 Penelitian Unggulan Perguruan Tinggi \u2013 2015<\/li>\n
                30. Pengembangan Algoritma untuk Deteksi dan Tracking Obyek dengan presisi tinggi berbasis superresolution \u2013 Penelitian Pendukung Unggulan Perguruan Tinggi \u2013 2015<\/li>\n
                31. Rancang Bangun Sistem Inspeksi Peluru caliber 5.56mm Berbasis Pengolaan citra ntk Meningkatkan Produktifitas di PT PNDAD \u2013 Riset Andalan Perguruan Tinggi dan Industri (Tahun 2) \u2013 2015<\/li>\n
                32. Rancang Bangun Sistem Inspeksi Peluru caliber 5.56mm Berbasis Pengolaan citra ntk Meningkatkan Produktifitas di PT PNDAD \u2013 Riset Andalan Perguruan Tinggi dan Industri (Tahun 1) \u2013 2014<\/li>\n
                33. Pengembangan Teknologi Adaptasi Produksi Pertanian terhadap Perubahan Iklim melalui Pendekatan Extreme Value Theory \u2013 Penelitian Strategis Nasional \u2013 2013<\/li>\n
                34. \u201cKajian Superresolution berbasis Phased Based Image Matching dengan Algoritma Rekonstruksi Structure-Adaptive Normalized Convolution\u201d \u2013 Penelitian Doktor \u2013 2012<\/li>\n
                35. Perbaikan Resolusi Citra Digital dari Kamera Closed Circuit Television (CCTV) pada Obyek Bertekstur Berbasis Phase Based image Matching dengan Algoritma Rekonstruksi POCs dan SANC \u2013 Riset Disertasi Doktor \u2013 2011<\/li>\n<\/ol>\n

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                  [vc_row][vc_column width=”1\/4″][vc_empty_space][dot_sidebar_menu select_menu=”sidebar-dosen-staf”][vc_empty_space][join_help_box type=”help”][\/vc_column][vc_column width=”3\/4″][vc_empty_space][dot_custom_title position_text=”left” title=”Dr. Budi Setiyono, S.Si., M.T.”][\/dot_custom_title][vc_row_inner][vc_column_inner width=”1\/3″][vc_single_image image=”12538″ img_size=”full” alignment=”center”][\/vc_column_inner][vc_column_inner width=”2\/3″][vc_column_text] Email masbudisetiyono@gmail.com; budisetiyono@its.ac.id; Ruang Ruang Kepala Laboratorium Pemrograman dan Komputasi Visual, Dept. Matematika \u2013 Gedung U, Lt 4 Professional membership INDOMS, IAENG, IEEE Profil Scholar Scholar-ITS\u00a0Scopus Sinta [\/vc_column_text][\/vc_column_inner][\/vc_row_inner][vc_column_text] Research interest Digital Image Processing Computational Mathematics Database and Information System […]<\/p>\n","protected":false},"author":130,"featured_media":0,"parent":356,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"templates\/page-its.php","meta":{"_joinchat":[],"footnotes":""},"class_list":["post-3976","page","type-page","status-publish","hentry"],"yoast_head":"\nDr. Budi Setiyono, S.Si., M.T. - Departemen Matematika ITS<\/title>\n<meta name=\"description\" content=\"Departemen matematika FSAD ITS memiliki tiga program studi: Sarjana, Pascasarjana, dan Doktor. 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