Agus Budi Raharjo

My research activities involve deep learning, data science, cloud computing, and software engineering. I am interested in re-shaping data science deployment by considering micro-services architecture and its reliability. My current focus is the application of data science to assist physicians in diagnosis (in collaboration with partners in Indonesia and France).

Experience

Education

Some Publications

• Putra, C., Purwitasari, D., & Raharjo, A. (2022). Stance Detection on Tweets with Multi-task Aspect-based Sentiment: A Case Study of COVID-19 Vaccination. International Journal of Intelligent Engineering and Systems, 15(5), 515–526.


• Cahyadi, M., Handayani, H., Warmadewanthi, I., Rokhmana, C., Sulistiawan, S., Waloedjo, C., Raharjo, A., Endroyono, Atok, M., Navisa, S., Wulansari, M., & Jin, S. (2022). Spatiotemporal Analysis for COVID-19 Delta Variant Using GIS-Based Air Parameter and Spatial Modeling. International Journal of Environmental Research and Public Health, 19(3).


• Cahyadi, M., Susanto, L., Rokhmana, C., Sulistiawan, S., Waloejo, C., Raharjo, A., Endroyono, & Atok, M. (2022). Telemedicine Technology Application for COVID-19 Patient Tracing Using Smartphone GNSS. International Journal of Geoinformatics, 18(2), 103-117.


• Dwi Sunaryono, Annas Nuril Iman, Diana Purwitasari, & Agus Budi Raharjo (2021). Graph Algorithm for Anomaly Prediction in East Java Student Admission System. In 2021 13th International Conference on Information & Communication Technology and System (ICTS). IEEE.


• Ary Mazharuddin Shiddiqi, Deddy Aditya Pramana, Ervin Nurhayati, & Agus Budi Raharjo (2021). Sensor Placement Strategy to Localize Leaks in Water Distribution Networks with Fluctuating Minimum Night Flow. In 2021 13th International Conference on Information & Communication Technology and System (ICTS). IEEE.


• Diana Purwitasari, Agus Budi Raharjo, Izzat Aulia Akbar, Faizal Johan Atletiko, Wiwik Anggraeni, Muhammad Ardian, Niko Azhari Hidayat, Hendro Suprayogi, & Muhammad Amin (2020). Time Series Analysis for Understanding Local Policy Impact of COVID-19 Cases in East Java. In 2020 International Conference on Computer Engineering, Network, and Intelligent Multimedia (CENIM). IEEE.


• Raharjo, A., & Quafafou, M. (2019). Dynamic Reliable Voting in Ensemble Learning. IFIP Advances in Information and Communication Technology, 559, 178-187.


• Raharjo, A., & Quafafou, M. (2017). The Combination of Decision in Crowds When the Number of Reliable Annotator Is Scarce. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10584 LNCS, 260-271.


• Umi Laili Yuhana, Agus Budi Raharjo, & Siti Rochimah (2014). Academic information system quality measurement using quality instrument: A proposed model. In 2014 International Conference on Data and Software Engineering (ICODSE). IEEE.

Skills

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• [Jun - Jul 2022] Java Programming for Instructor - Oracle Indonesia
  
• [Jan 2021] AWS Certified Solutions Architect – Associate - Amazon Web Service (AWS)
  
• [Oct 2020] Data Science with Python - IBM
  
• [Sept - Oct 2020] AWS Academy Cloud Architecting - AWS
  
• [Aug 2020] AWS Certified Cloud Practitioner - AWS
  
• [Jun - Aug 2020] AWS Academy Cloud Foundations - AWS
  
• [Jul 2017] International Summer School on Deep Learning - Deusto Rovira i Virgili University, Bilbao, Spain.
• [Oct 2016] English Public Speaking Training - International English Services and Training Assets (IESTA)
  
• [Apr 2016] International Spring School on Challenging Problems in Statistical Learning -  Université Bretagne Sud, Vannes, France
• [Mar - May 2013] Intensive French Class - Institut Français d'Indonésie - Surabaya
  

• English - Professional
  
• French - Professional
  
• Bahasa Indonesia - Native
  
• Javanese :) - Native