asetya

Arief Setyanto, S.Si., MT, Ph.D

Lecturer of Universitas Amikom Yogyakarta

  • Kebangsaan : Indonesia
  • Institution : Universitas Amikom Yogyakarta, Indonesia
  • Jabatan Akademik : Profesor
  • Address : Perumahan Timoho Asri no. B17, Yogyakarta, Indonesia
  • Mobile Phone : +6281316024569
  • Email : arief_s@amikom.ac.id

Jabatan

  • 2017 – 2021 Wakil Rektor IV Universitas Amikom Yogyakarta
  • 2021 – 2025 Wakil Rektor IV Universitas Amikom Yogyakarta

Bidang Penelitian

  • Internet Of Things (IOT)
  • Edge Computing
  • Operating System
  • Cloud Computing
  • Image and Video
  • Segmentation
  • Object Detection
  • Natural Language Processing
  • Software Engineering
  • 2011 – 2016 | United Kindom, Ph.D

    School of Computer Science and Electronics Engineering, The University of Essex, Program Doktor | PhD Thesis : Unsupervised Hierarchical Video Segmentation on Binary Partition Tree

  • 2000 – 2003 |  Yogyakarta Indonesia, Master

    Teknik Elektro, Peminatan Sistem Komputer dan Informatika (SKI), Universitas Gadjah Mada, Program Pasca Sarjana, IPK 3,51 | Judul Thesis : Secure XML with Digital Signature Using Elliptic Curve Cryptography 

  • 1993 – 1998 | Yogyakarta Indonesia, Bachelor

    Electronika dan Instrumentasi, FMIPA, Universitas Gadjah Mada, Program Sarjana 

  • 2018

    Pornographics video filtering based on visual content – Hibah dari Kementrian Riset dan Pendidikan Tinggi

  • 2019 – 2020

    Online exam proctoring using cheating activity detection and face recognition– Hibah dari Kementrian Riset dan Pendidikan Tinggi

  • 2019

    Mobile based pregnant women activity monitoring “Smart Birth” – Hibah dari Kementrian Riset dan Pendidikan Tinggi

  • 2020 – 2022

    New Normal Behaviour Monitoring based on Deep Learning multimedia data analysis, Hibah : Direktorat – Jenderal DIKTI, Kementerian Pendidikan, Kebudayaan, Riset, dan Teknologi

  • 2023 – 2024

    Deteksi Obyek berbasis deep learning pada Device Edge, Hibah : Direktorat Jenderal DIKTI, Kementerian Pendidikan, Kebudayaan, Riset, dan Teknologi

  •  2021 – 2025

    Integrated Technological and Information Platform for wildfire Management (SILVANUS), Funded by Horizon 2020 Project, European Union

  • 2024 – March 2026

    Academic Collaboration Advisor, Japan Institute of Technology (JAIST) 

  • November 2024 Keynote Speaker on  7th ICOIACT 2024, Nagoya, Japan   
  1. Andi Bahtiar Semma, Kusrini, Arief Setyanto, Bruno da Silva, An Braeken, Authenticating devices based on audio feature selection with scene-specific tuning and landmark augmentation,Intelligent Systems with Applications, Volume 28, 2025, https://doi.org/10.1016/j.iswa.2025.200593
  2. Ting Jiang,Jianwei Hao,Sushruth Harsha, Rakandhiya D. Rachmanto, Arief Setyanto, Lakshmish Ramaswamy, “Convergo: Multi-SLO-Aware Scheduling for Heterogeneous AI Accelerators on Edge Devices,” 2025 IEEE International Conference on Edge Computing and Communications (EDGE), Helsinki, Finland, 2025, pp. 115-125, doi: 10.1109/EDGE67623.2025.00022
  3. A. Setyanto*, T. B. Sasongko, M. A. Fikri, Agatsya A, Ardhana A, Rachmanto RD and I. K.Kim, “Knowledge Distillation in Object Detection for Resource-Constrained Edge Computing,” IEEE Access, vol 13 (DOI:10.1109/ACCESS.2025.3534020)
  4. A. Setyanto*, T. B. Sasongko, M. A. Fikri, and I. K.Kim, “Near-edge computing aware object detection: A review,” IEEE Access, vol. 12, p. 2989–3011, 2024. [Online]. available:http://dx.doi.org/10.1109/ACCESS.2023.3347548
  5. R. D. Rachmanto, Z. Sukma, A. N. L. Nabhaan, A. Setyanto, T. Jiang and I. K. Kim, “Characterizing Deep Learning Model Compression with Post-Training Quantization on Accelerated Edge Devices,” 2024 IEEE International Conference on Edge Computing and Communications (EDGE), Shenzhen, China, 2024, pp. 110-120, doi: 10.1109/EDGE62653.2024.00023
  6. Alba Puelles López, Rodrigo Martínez-Béjar, Kusrini Kusrini*, Arief Setyanto, I Made Artha Agastya. Enhancing COVID-19 forecasting through deep learning techniques and fine-tuning. International Journal of Electrical and Computer Engineering (IJECE) Vol. 14, No. 1, February 2024, pp. 934~943. ISSN: 2088-8708, DOI: 10.11591/ijece.v14i1.pp934-943
  7. Arief Setyanto,Kusrini Kusrini, Gardyas Bidari Adninda, Renindya Kartikakirana, Rhisa Aidilla Suprapto, Arif Laksito, I Made A Agastya, Krishna Chandramouli, Andrea Majlingova, Yvonne Brodrechtová, Konstantinos Demestichas, Ebroul Izquierdo,”Ecological Impact Assessment Framework for areas affected by Natural Disasters”, International Conference on Content-based Multimedia Indexing (CBMI), ACM 2022
  8. Moedjahedy, J., Setyanto, A., Alarfaj, F.K., Alreshoodi, M., “CCrFS: Combine Correlation Features Selection for Detecting Phishing Websites Using Machine Learning”, Future Internet Vol 14, MDPI, 2022
  9. Kusrini, K., Setyanto, A., Agastya, I.M.A., Hartatik, H., Chandramouli, K., Izquierdo, E., “A DEEP-LEARNING FRAMEWORK FO ACCURATE AND ROBUST DETECTION OF ADULT CONTENT”, Journal of Engineering Science and Technology, Vol. 17, 2022
  10. Arief Setyanto, Arif Dwi Laksito, Fawaz Khaled Alarfaj, Mohammed Alreshoodi, “Arabic Language Opinion Mining Based on Long Short-Term Memory (LSTM)” Applied Science, MDPI, 2022
  11. I. Kusniadi and A. Setyanto, “Fake Video Detection using Modified XceptionNet,” 2021 4th International Conference on Information and Communications Technology (ICOIACT), 2021, pp. 104-107
  12. A. Setyanto, K. Kusrini, T. B. Sasongko, A. B. Permana and A. P. Saputra, “Efficient Deep Learning Architecture for Facemask Detection,” 2021 4th International Conference on Information and Communications Technology (ICOIACT), 2021, pp. 119-124
  13. Kusrini, Suputa, A. Setyanto, “Automatic Mango Leaf and Trunk Detection as Supporting Tool of Mango Pest Identifier (MPI),” 2021 3rd International Conference on Cybernetics and Intelligent System (ICORIS), 2021, pp. 1-7
  14. Setyanto, A., Setiaji, B., Hayati, M.,Krisnwati, Cheating Activity Detection on Secure Mobile Exam, JESTEC, Vol. 15, Issue 6, 2020 (1st Author)
  15. Kusrini, Suputa, Setyanto, A, Agastya, IMA., Chandramouli, K., Izquerdo E., Data augmentation for automated pest classification in Mango farms, Computer and Electronics in Agriculture, Elsevier, 2020
  16. Hartatik, H., Tamam, M.B., Setyanto, A., Prediction for Diagnosing Liver Disease in Patients using KNN and Naïve Bayes Algorithms, 2020 2nd International Conference on Cybernetics and Intelligent System, ICORIS 2020
  17. Kusrini, Suputa, Setyanto, A., , Fadlurahman, Chandramouli, K., User Evaluation of Mobile based Smart Mango Pest Identification,2020 8th International Conference on Cyber and IT Service Management, CITSM 2020
  18. Kurniasari,L.,Setyanto, A., Sentiment Analysis Usirng Recurrent Neural Network – LSTM in Bahasa Indonesia, JESTEC, Vol. 15, Issue 5, 2020 (2nd Author) Setyanto, A., Raharjo, S., Wicahyono, G., Toha, E.R., Prasetya, C.R. Pregnancy monitoring and mapping using integrated mobile application and geographic information system, International Journal of Advanced Trends in Computer Science and Engineering, 2019 (1st Author)
  19. Wicahyono, G., Setyanto, A., Raharjo, S., Munandar, A. , Pregnancy monitoring mobile application user experience assessment, 2nd International Conference on Information and Communications Technology, 2019 (2nd Author)
  20. Krisnawati, Hayaty, M., Setiaji, B., Setyanto, A. , First time user experience assessment on web based online examination, 2nd International Conference on Information and Communications Technology, 2019 (3rd Author)
  21. Kurniasari,L.,Setyanto, A.,Sentiment Analysis using Recurrent Neural Network, Journal of Physics: Conference Series, 2020, 1471(1),2018
  22. Subarkah, P., Ikhsan, A.N., Setyanto, A., The effect of the number of attributes on the selection of study program using classification and regression trees algorithms, 3rd International Conference on Information Technology, Information Systems and Electrical Engineering, ICITISEE 2018 (3rd Author) 
  23. Hartatik, H., Setyanto, A., Kusrini, K., Pornographic Novel Criterion on Indonesian Cultural Background, 6th International Conference on Cyber and IT Service Management, CITSM 2018 (2nd Author)
  24. Muin, M.A., Setyanto, A., Sudarmawan, Santoso, K.I.,Performance Comparison between AES256-Blowfish and Blowfish-AES256 Combinations, 5th International Conference on Information Technology, Computer and Electrical Engineering, ICITACEE 2018 (2nd Author)
  25. Agastya IMA, Setyanto A, Kusrini, Handayani DOD., Convolutional Neural Network for Pornographic Images Classification. Fourth Int Conf Adv Comput Commun Autom (ICACCA 2018). 2018 (2nd Author)
  26. Agastya, I.M.A., Setyanto, A., Classification of Indonesian batik using deep learning techniques and data augmentation, 3rd International Conference on Information Technology, Information Systems and Electrical Engineering, ICITISEE 2018 (2nd Author)
  27. Kristianto, R.P., Setyanto, A., Golden section search-multi variable algorithm for optimization parameter of triple exponential smoothing algorithm to predict sufferers of lungs disease,3rd International Conference on Information Technology, Information Systems and Electrical Engineering, ICITISEE 2018 (2nd Author)
  28. Fatkhurrochman, Noviandha, F.D., Setyanto, A., Twitter classification of public service complaints,3rd International Conference on Information Technology, Information Systems and Electrical Engineering, ICITISEE 2018 (3rd Author)
  29. Mihuandayani, Ramandita, H.D., Setyanto, A., Sumafta, I.B., Food trend based on social media for big data analysis using K-mean clustering and SAW: A case study on yogyakarta culinary industry, International Conference on Information and Communications Technology, ICOIACT 2018 (2nd Author
  30. Setyanto, A., Wood J, Hierarchical visual content modelling and query based on trees, (2016) Electronic Letters on Computer Vision and Image Analysis, 15 (2), pp. 40-42. (1st Author)
  31. Arief Setyanto, John Charles Wood, and Mohammed Ghanbari, Evolution analysis of Binary Partition Tree for hierarchical video simplified segmentation. In: 6th Computer Science and Electronic Engineering Conference (CEEC), 2014, 25-26 Sept. 2014, Colchester. IEEE Xplore Digital Library (1st Author)
  32. Arief Setyanto, John Charles Wood, and Mohammed Ghanbari, Platform for Temporal Analysis of Binary Partition Tree, In Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA), 2013, pages 45 – 50, Poznan, Poland, 2013. IEEE Xplore Digital Library (1st Author)
  33. Arief Setyanto, John Charles Wood, and Mohammed Ghanbari, Genetic Algorithm for Inter-frame Region Object Temporal Correlation in Binary Partition Tree, In System Engineering and Technology (ICSET), Bandung, Indonesia, 2012. IEEE Xplore Digital Library (1st Author)
  • 2022 Erasmus Plus Lecture Exchange Program at the University Murcia Spain.
  • 2011 – 2016 PhD Scholarship from Directorate General of Higher Education, Ministry of Education, Republic of Indonesia.
  • 2006 The Best e-Practices Asia Pacific Economic Digital Opportunity Center (ADOC) Award.
  • 2006 Nominee at Training and Education software at Asia Pacific ICT Alliance (APICTA) Awards, Macau.
  • 2000 – 2003 Beasiswa program pasca sarjana (BPPS) Kementrian Pendidikan dan kebudayaan