Hello, everyone! 👋

My name is Eko. I am a Computer Specialist at BPS-Statistics Indonesia, working in the areas of Data Engineering, Knowledge Engineering, Software Development, and Applied AI within Statistical Information Systems. I design and maintain data pipelines, integrate datasets from multiple institutional sources, and develop internal applications and testing workflows to ensure system reliability in production environments. These systems support analytical units in transforming operational data into interoperable, decision-ready insights. In addition to my engineering responsibilities, I also contribute to statistical data workflows and collaborate with local government agencies, universities, and local communities to strengthen data and statistical literacy.

I obtained my MSc in Information and Telecommunication Technology from Korea Advanced Institute of Science and Technology  (KAIST) in 2021, under the joint supervision of Prof. Seung-Hun Han and Dr. Ileana Palaco Faeth. I also hold a BASc in Statistical Computing from the Institute of Statistics  (STIS) (now Polytechnic of Statistics STIS), which I completed in 2012 under the supervision of Dr. Said Mirza Pahlevi.

My research interests lie in semantic data integration and knowledge-based systems, with a focus on ontology engineering, knowledge graphs, and knowledge representation for multi-institutional data ecosystems, including, but not limited to, official statistics. I study how semantic models can improve interoperability, reproducibility, and automated reasoning across heterogeneous datasets, and extend this work into graph machine learning, neuro-symbolic AI, NLP, and LLM-based approaches, with a particular emphasis on combining symbolic and data-driven methods in real-world knowledge-centric systems across domains.

I welcome research discussions and collaboration — feel free to reach out!

🎓 Education

• MSc in Information and Telecommunication Technology, KAIST, 2019–2021

  • Advisors: Prof. Seung Hun Han and Dr. Ileana Palaco Faeth (unofficial)

  • Thesis: Proposing A Linked Open Data Solution to Enable Innovative Data Services: A Case of BPS-Statistics Indonesia

• BASc in Statistical Computing, STIS, 2008–2012

  • Advisors: Dr. Said Mirza Pahlevi

  • Thesis: Development of Service-Oriented Architecture (SOA) for Integrated Lecture Information System in the Institute of Statistics (SIPADU-STIS)

🚀 Publications

*Equal contribution

Index: 

IJ International Journal, DJ Domestic Journal, IC International Conference, DC Domestic Conference, WO Workshop, PR Preprint

• IC02: Widodo, E. T.*, & Surya, B.* (2025). Virtual knowledge graph for data integration in BPS-Statistics Indonesia [Conference presentation]. In The 65th ISI World Statistics Congress, The Hague, Netherlands. — [Accepted Presentation]

• DC01: Prataba, G. P.*, Putra, Y. C.*, & Widodo, E. T.* (2024). Construction of establishment directory knowledge graph using the Neo4j graph database. In Proceedings of the Seminar Nasional Official Statistics, 1, 895–906. — [Paper] [Code]

• IC01:  Widodo, E. T.* (2024). Proposing a linked open data solution to enable innovative data services: A case of BPS-Statistics Indonesia. In Proceedings of the 1st International Conference on Digital Innovation for Global Growth (DIGG) (pp. 50–60). — [Paper]

🎙️ Seminar, Workshop, Talks

*Equal contribution

The presenter(s) are underlined.

Index: 

SM Seminar, WS Workshop, TK Talks 

• TK03:  Widodo, E. T.* and Prakasa, M.S.* (2025). Statistical activities supporting the production of official statistics at BPS-Statistics Indonesia. In Collaboration of Pojok Statistik of the Institut Teknologi Sumatera (ITERA).

• TK02:  Widodo, E. T.* and Simamora, I. P.* (2024). Utilizing local administrative websites for Satu Data Desa Indonesia (SDDI) initiatives. In Collaboration of Pojok Statistik of the Institut Bisnis dan Informatika Darmajaya (IBI Darmajaya).

• TK01:  Widodo, E. T.* and Yulia, W.* (2024). Data Analytics using R: The Case of Directorate General of the Treasury (DJPb), Ministry of Finance, Regional Lampung. — [Tutorial]

• WS01:  Widodo, E. T.* (2023). Data Processing and Analytics using R. In Collaboration of Praktisi Mengajar Program with Universitas Teknokrat Indonesia (UTI) — [Slide] [Code]

📌 Selected Experience

Index: 

TA Teaching Assistant, GL Guest Lecturer, IT Instructor/Trainer

• IT02: Capacity Building Programs for Regional and Field Enumerators on Census and Survey Data Collection and Data Processing, BPS-Statistics Indonesia, 2014 — Present.

• GL02: Statistics for Actuarial Science, Institut Teknologi Sumatera (ITERA), 2025.

• IT01: Graph Database for data engineers on use cases in the banking industry using TigerGraph, IYKRA, 2024.

• GL01: Statistics for Mathematical and Physical Education, Universitas Teknokrat Indonesia, 2023 — 2024.

• TA01: Korean Language, Culture, and History, KAIST, 2020 — 2021.

🗂️ Selected Academic Projects

• IGEP: Interpretable Global Earthquakes Prediction

<KSE526: Analytical Methodologies for Big Data>

This project proposes an LSTM-Attention Network for earthquake prediction that emphasizes interpretability by identifying the most influential time periods through attention weights. Unlike prior approaches relying mainly on traditional error metrics, the model provides insight into what drives its predictions. Experimental results demonstrate that the proposed method outperforms previous models in predicting both the occurrence and frequency of earthquakes on a global scale.

• Smart Parking System: Improving Parking Efficiency through Intelligent Design

<CS457: Requirements Engineering for Smart Environments>

This project proposes a Smart Parking System that helps parking owners manage parking spaces while enabling drivers to easily find, reserve, and pay for parking near their destination. The system is developed using user-centered requirements engineering methods, including contextual design, use-case modeling, and prototyping, to improve parking efficiency and user experience.

© 2024-2025, Eko Teguh Widodo