Journal Cover

e-ISSN: 2723-4541

Publisher: Universitas Pendidikan Nasional

Duration: Approx. 14 days to the first decision

Frequency: 2 issues per year (June and December)

DOI: 10.38043 by Crossref

Audience: Domestic and international scholars with an acute interest in Information Technology

Editor: Ir. Adie Wahyudi Oktavia Gama S.T., M.T., I.P.M., ASEAN Eng.

About the Journal

TIERS Information Technology Journal is published by the Universitas Pendidikan Nasional, with periodical publications every June and December. It is indexed in SINTA 2 with p ISSN: 2723-4533 and e ISSN: 2723-4541.

  • The journal covers topics in Information Systems, Artificial Intelligence, Internet of Things, Big Data.
  • It operates under an Open Access Policy, allowing free access to its content globally.
  • TIERS adheres to a rigorous double-blind peer review process to maintain academic integrity and quality.

Starting in 2022, TIERS is committed to becoming a leading international journal, publishing high-quality research articles in English. The journal aims to be a primary reference for researchers worldwide.

Current Issue

Vol. 6 No. 2 (2025)
Published: 2025-12-30

Articles

  • Efficient Rice Leaf Disease Classification Using Enhanced CAE-CNN Architecture

    Destia Suhada, I Gede Pasek Suta Wijaya, Ida Bagus Ketut Widiartha, Minho Jo
    144-157
    • PDF
      • Abstract Views: 19 times | Downloaded: 13 times
    DOI: https://doi.org/10.38043/tiers.v6i2.7159

  • Operating Room Scheduling Optimization Under Surgeon and Nurse Constraints Using Genetic Algorithm

    Ayu Swilugar, Muhammad Kusumawan Herliansyah
    158-170
    • PDF
      • Abstract Views: 11 times | Downloaded: 7 times
    DOI: https://doi.org/10.38043/tiers.v6i2.7164

  • YOLOv8-Based Quality Detection of Bali MSMEs Staple Food

    Ni Putu Dita Ariani Sukma Dewi, Jiyestha Aji Dharma Aryasa, I Gede Hendrayana, I Made Ade Prayoga, Sulin Monica Putri
    171-186
    • PDF
      • Abstract Views: 10 times | Downloaded: 5 times
    DOI: https://doi.org/10.38043/tiers.v6i2.7144

  • Hybrid Machine Learning Approach for Nutrient Deficiency Detection in Lettuce

    Zuriati, Dewi Kania Widyawati, Oki Arifin, Kurniawan Saputra, Sriyanto Sriyanto, Asmala Ahmad
    187-204
    • PDF
      • Abstract Views: 11 times | Downloaded: 1 times
    DOI: https://doi.org/10.38043/tiers.v6i2.7143
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