About the Journal

Intechno Journal : Information Technology Journal is a peer-reviewed open-access journal published in every six months, namely in July and December. 

Intechno Journal (e-ISSN 2655-1438 | p-ISSN 2655-1632) published by Universitas Amikom Yogyakarta in collaboration with Indonesian Computer, Electronics and Instrumentation Support Society (IndoCEISS) to promote high-quality Information Technology (IT) research among academics and practitioners alike, including computer scientists, Software Engineering & Big Data, Multimedia, Networking, IT professionals, and other stakeholders in the IT industry.

Contributed papers must be original (similarity score <= 30%) and offer an impactful contribution. At least two independent reviewers will review each manuscript in the relevant field to ensure the publication of only top-quality contributions. Intechno Journal offers an open-access license (CC-BY) while retaining the copyright for the authors.

Announcements

Current Issue

Vol. 6 No. 2 (2024): December
					View Vol. 6 No. 2 (2024): December

This issue has been available online since 31th December 2024 for the issue of December 2024. All articles in this issue were authored/co-authored by 15 authors (3 foreign and 12 domestic authors) from 9 affiliations (Universita Degli Studi di Palermo Italy, Universiti Brunei Darussalam Brunei, International Islamic University Malaysia, Universitas Gadjah Mada, Universitas Halu Oleo, Universitas Islam Negeri Alauddin Makassar, STMIK Widya Utama, Universitas Amikom Yogyakarta, PT Sisfomedika Indonesia)

Published: 2024-12-31

Articles

  • Testing of Usability and Correctness Aspects in Marketing and Ordering Information Systems

    Nabilah Faqita Masyora, Nahrun Hartono, Rahman Rahman
    73-85
  • Quality Evaluation of Ticketing Management System Using ISO/IEC25010:2023 Standards and AHP Method

    Puji Ariningsih, Alva Hendi Muhammad
    86-94
  • Reverse Engineering GitHub CoPilot: Creating an OpenAI-Compatible Endpoint for Enhanced Developer Integration

    Nur Arifin Akbar, Ardian Webi Krida, Akbar Setiawan
    95-107
  • Forecasting A Major Banking Corporation Stock Prices Using LSTM Neural Networks

    Budi Wijaya Rauf
    108-113
  • EEG Emotion Recognition using Deep Neural Network (DNN) in Virtual Reality Environments

    I Made Artha Agastya, Robert Marco, Dini Oktarina Dwi Handayani
    114-121
  • Prototype for Implementing Data Exchange with The FHIR-HL7 Standard in The Personal Health Record Application

    Hendri Kurniawan Prakosa, Hasan Nurul Ibad, Saiful Anwar
    122-129
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