IPTEK The Journal for Technology and Science, Vol. 37 No. 2 (2026) presents six original research articles covering diverse developments in information technology, transportation and infrastructure, sustainable energy, data-driven decision support, and geolocation-based systems.

The issue features research from Institut Teknologi Sepuluh Nopember (ITS), Indonesia, on improving heart disease classification accuracy using hybrid algorithms and hyperparameter optimization, implementing a GPT-3.5-based chatbot for converting natural-language requests into SQL queries, and identifying major risks associated with the Makassar–Parepare Railway Public–Private Partnership project.

Research from Institut Teknologi Kalimantan (ITK) and the National Research and Innovation Agency (BRIN), Indonesia, explores cassava peel waste as a sustainable natural binder for biomass biobriquettes, demonstrating promising mechanical and energy performance. A study from Politeknik Transportasi Darat Bali and Udayana University, Indonesia, evaluates Maximum Entropy-based Origin-Destination matrix estimation under limited traffic-count data for Indonesian Traffic Impact Analysis (Andalalin), highlighting the relationship between data availability, flow-fit performance, and OD estimation stability.

This issue also includes collaborative research involving the Polytechnic of Immigration and Correctional Indonesia and the University of Maryland, Baltimore County, United States, proposing a real-time geolocation microservices integration framework using UML and the sidecar pattern to support immigration surveillance, with emphasis on system modularity, auditability, positional performance, privacy safeguards, and lawful implementation.

Together, the articles in this issue demonstrate the application of computational, engineering, and data-driven approaches to contemporary challenges in healthcare analytics, database accessibility, infrastructure risk management, renewable energy, transportation planning, and public-sector digital systems.