JOURNAL INFORMATION

Journal title Jurnal Riset Sistem dan Teknologi Informasi
Initials RESTIA
Grade Not Yet Accredited
Frequency Twice issues per year (January, and July)
First Published Year 2023
DOI prefix 10.30787/restia by
Print ISSN -
Online ISSN 2988-5663
Editor-in-chief Ismail Setiawan, S.Kom., M.Kom.
Incoming Editor-in-chief Galih Pramuja Inngam Fanani, S.T., M.Kom.(Effective May 2026-2030)
Publisher Pusat Penelitian dan Pengabdian Masyarakat (P3M) Universitas 'Aisyiyah Surakarta
Citation Analysis Google Scholar l Dimensions l GARUDA l Scilit
Indexing Click Here

75 %

1-2 Weeks

2-4 Weeks

4-12 Weeks
Acceptance Rate (Maret 11, 2026)
Submission to 1st Decision
Peer-review Speed
Submission to Acceptance

Jurnal Riset Sistem dan Teknologi Informasi is a national periodical journal that contains research articles (research articles) in the field of computer science. Jurnal Riset Sistem dan Teknologi Informasi is expected to become a medium for conveying applied results, findings, and scientific innovations in the field of computer science to computer practitioners and academics.

Jurnal Riset Sistem dan Teknologi Informasi is published 2 times a year (January and July) by the Research Centre of Universitas 'Aisyiyah Surakarta. The editorial team invites observers in the field of computer science to share their ideas and ideas in order to improve self-professionalism and responsibility towards education and the work of the nation. This journal is published for the first time in 2023.

Announcements

Call for Editors and Reviewers Journal UNISA

2024-07-12

We cordially invite researchers, academics, professionals, and practitioners to contribute as part of the Reviewer/Editor Team for the journals managed by the Research Center (P3M) Universitas 'Aisyiyah Surakarta.

Benefits of Joining the Reviewer/Editor Team at Universitas 'Aisyiyah Surakarta Online Journals:

  1. Appointment Letter/Task Assignment as Reviewer/Editor from Universitas 'Aisyiyah Surakarta
  2. Certificate of Appreciation as a Reviewer at the end of each Semester

You can choose one or more journals where you would like to contribute as a Reviewer/Editor. Please fill out the registration form as completely as possible through https://bit.ly/Daftar-EditorReviewer.

Thank you for your attention.

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Current Issue

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

Articles

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