Vol. 4 No. 1 (2026): Jurnal Riset Sistem dan Teknologi Informasi (RESTIA)

View Vol. 4 No. 1 (2026): Jurnal Riset Sistem dan Teknologi Informasi (RESTIA)

RESTIA Journal (Jurnal Riset Sistem dan Teknologi Informasi) Volume 4, Number 1 presents a collection of innovative research and in-depth analyses in the fields of information technology and intelligent systems. This issue highlights the application of Artificial Intelligence (AI) algorithms and IT governance methodologies to address critical challenges in healthcare, social welfare, and educational infrastructure.

Key Research Highlights: 

  • Healthcare Optimization and Diagnosis: Diabetes management is a primary focus, explored through two distinct approaches: the implementation of the Simple Additive Weighting (SAW) method for decision support systems, and the application of Artificial Neural Networks (ANN) using CDC health indicator data for high-accuracy predictive analysis.

  • Mental Health and Data Science: The integration of the Random Forest algorithm based on psychosocial data to predict depression levels among university students, providing a significant contribution to medical informatics and educational psychology.

  • IT Governance and System Design: The application of global frameworks such as TOGAF for the strategic design of agricultural drone systems, alongside the evaluation of multimedia laboratory infrastructure using the COBIT 5.0 method to ensure IT management efficiency and standardization.

Contributors:

This edition features collaborative works from researchers at various prestigious institutions, including:

  • Universitas Ibrahimy, Situbondo.

  • Universitas Nurul Jadid, Probolinggo.

  • Universitas ‘Aisyiyah Surakarta.

Core Keywords: Decision Support Systems (DSS), Machine Learning, Predictive Health Analytics, IT Governance, Enterprise Architecture.

DOI: https://doi.org/10.30787/restia.v4i1
Published: 2026-02-03

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