About the Journal
Information System Journal (INFOS) Contains the results of scientific research in the field of information systems and computer science. This journal aims to bridge the gap between factual advances in information systems and computer science and the results of existing research.
Focus and Scope, This journal publishes research articles, review articles/literature reviews, case reports and concept/policy articles, in all fields: Information Systems, Decision Support Systems, Financial Technology, Multimedia, AR/VR Applications, IT Governance, UI/UX, e-commerce. The Information System Journal (INFOS) is published under the numbers E-ISSN : 2655-142X and P-ISSN : 2655-190X.
INFOS Journal (Information System Journals) published twice a year in May, and November. This journal is published by Department of Information System, Universitas Amikom Yogyakarta.
Based on the Decree of the Directorate for Research and Development Strengthening Number 230/E/KPT/2022, the Jurnal Sisfokom (Sistem Informasi dan Komputer) is now accredited SINTA 5. This decision is valid for 5 years until Volume 7 Nomor 3, 2024.
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Perubahan Template Jurnal INFOS - v.1-2023
Current Issue
Full Issue
Articles
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SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN SUPPLIER PAKAIAN DENGAN METODE SIMPLE ADDITIVE WEIGHTING PADA TOKO HENHEN COLLECTION
visibility Abstract views: 64 Downloading PDF download: 39
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PENGENALAN WAJAH UNTUK MEMPERCEPAT PROSES PEMILIHAN UMUM: STUDI KASUS IMPLEMENTASI METODE HOG DAN CNN PADA SISTEM EVOTING
visibility Abstract views: 22 Downloading PDF download: 37
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IMPLEMENTASI METODE SCRUM PADA PEMBUATAN FITUR USULAN DAN KLAIM KONVERSI APLIKASI XYZ
visibility Abstract views: 18 Downloading PDF download: 31
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IMPLEMENTASI REACTJS PADA PEMBUATAN SISTEM INFORMASI DIGITAL PRINTING BERBASIS WEBSITE
visibility Abstract views: 24 Downloading PDF download: 54
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SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN KARYAWAN TERBAIK MENGGUNAKAN METODE SAW PADA PT. PEGADAIAN
visibility Abstract views: 50 Downloading PDF download: 41
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DETEKSI WEBSITE PHISHING MENGGUNAKAN TEKNIK FILTER PADA MODEL MACHINE LEARNING
visibility Abstract views: 58 Downloading PDF download: 221