About the Journal

The Journal Software, Hardware, and Information Technology (SHIFT) is a peer-reviewed, open-access journal published by the Department of Information Systems, Faculty of Science and Technology, Universitas Islam Negeri (UIN) Alauddin Makassar, Indonesia. It has been published online since 2021.

SHIFT publishes original research findings and high-quality scientific articles that present cutting-edge approaches, including methods, techniques, tools, implementations, and applications. The journal serves as an archival resource for scientists and engineers involved in all aspects of information technology, computer science, computer engineering, information systems, and software engineering. 

SHIFT is registered with BRIN with e-ISSN: 2776-8961 and p-ISSN: 2808-3385. Additionally, it is registered with Crossref and assigned the DOI: https://doi.org/10.24252/shift.volumeissue.IDPaper.

The journal has been accredited with SINTA 5 in accordance with Decree No. 10/C/C3/DT.05.00/2025 issued by the Directorate General of Higher Education, Research, and Technology. The accreditation status can be verified here.

SHIFT is published twice a year, in January and June. All submitted manuscripts undergo a rigorous double-blind peer-review process conducted by expert reviewers. Manuscripts may be submitted in either Bahasa Indonesia or English.

SHIFT also accepts submissions for a special section called “Selected Papers.” These articles are published in the nearest edition and must meet the following criteria: (1) written in English, and (2) include at least one co-author from outside Indonesia. Authors whose manuscripts meet these criteria are encouraged to contact the editorial team to reserve a slot in the Selected Papers section.

SHIFT invites contributions on, but not limited to, the following topics:

  • Artificial intelligence
  • Data Analytics
  • Fuzzy Logics
  • Deep Learning
  • Computer Vision
  • Natural Language Processing
  • Big Data and Data Engineering
  • High Performance Computing
  • Embedded Systems
  • Computer Network and Architecture
  • Software Development
  • E-Business
  • E-Goverment
  • E-Learning
  • E-Health
  • Multimedia Technologies
  • Human Computer Interaction
  • Software Quality Assurance
  • Internet of Things (IoT)
  • Information Security
  • Robotics
  • Applied Computing

Review Process:

Contact us
E-mail: jurnalshift@gmail.com
WA: +62 85 342 991 420


Announcements

Current Issue

Vol. 5 No. 2 (2025)

The Journal Software, Hardware, and Information Technology (SHIFT) is a peer-reviewed, open-access journal published by the Department of Information Systems, Faculty of Science and Technology, Universitas Islam Negeri (UIN) Alauddin Makassar, Indonesia. It has been published online since 2021. SHIFT Volume 5, Number 2, was published in June 2025. Every submitted manuscript is reviewed by expert reviewers through a double-blind process.

This edition of the issue contains 8 articles from authors affiliated with 8 different institutions, including the following: Universitas Maritim Raja Ali Haji (ID), Universitas Hasyim Asy’ari Jombang (ID), Universitas Widya Kartika (ID), Politeknik Negeri Medan (ID), Universitas Bina Sarana Informatika (ID), Universitas Jambi (ID), Universitas Islam Negeri Alauddin Makassar (ID), Politeknik Astra (ID)

Published: 06/30/2025

Penerapan Machine Learning untuk Klasifikasi Teks Depresi pada Kesehatan Mental dengan SVM, TF-IDF, dan Chi-Square

Muhammad Ridha, Muhammad Kholil Abdur Rohman, Dian Agustin, Deni Handika Shaputra, Yasmine Manayla, Amiroh Hanan Malikah

171-182

DOI: https://doi.org/10.24252/shift.v5i2.210
DOI: https://doi.org/10.24252/shift.v5i2.214
DOI: https://doi.org/10.24252/shift.v5i2.196

Analisa Pola Penyebaran Pengguna Layanan Transjakarta dengan Metode K-Means Clustering

Reynaldi, Raihan Jamal Faiz Djarot, Mochamad Wahyudi, Sumanto , Ade Surya Budiman

128-138

DOI: https://doi.org/10.24252/shift.v5i2.205
DOI: https://doi.org/10.24252/shift.v5i2.204
DOI: https://doi.org/10.24252/shift.v5i2.191
DOI: https://doi.org/10.24252/shift.v5i2.183
DOI: https://doi.org/10.24252/shift.v5i2.182
View All Issues