About the Journal
The JSAI journal (Journal Scientific and Applied Informatics) is intended as a medium for scientific studies of research results, thoughts and critical-analytic studies regarding research in the fields of Mobile, Animation, Computer Vision, Networking, Robotic along with research related to the implementation of methods and or algorithms. As part of the spirit of disseminating knowledge resulting from extensive research and as a reference source for academics in the field of Information and Technology.
The JSAI (Journal Scientific and Applied Informatics) journal accepts scientific articles with research scopes on:
1. Mobile Application
2. Animation
3. Computer Vision
4. Networking
5. Robotics
6. Information System
Based on the issuance of the results of Periodic Accreditation of Scientific Journals Certificate Number: 230/E/KPT/2022; Title of Certificate: Scientific Journal Accreditation Rating for period IV of 2022; Date of Certificate: 30 Dec 2022, it is determined that the results of the JSAI Journal accreditation are Sinta Accredited 4
Current Issue

This volume will be published gradually until June 30, 2025, for uploading articles maximum until June 20, 2025, for authors who revise to make revisions to the article immediately
Articles
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Analysis of AI-Based Software Development (Gemini) Using ACM Code of Ethics Implementation
DOI : https://doi.org/10.36085/jsai.v8i2.7811
Abstract Views: 0 ,
Downloads: 0
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Implementation of NLP Election News Classification Using LSTM Algorithm
DOI : https://doi.org/10.36085/jsai.v8i2.8212
Abstract Views: 0 ,
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Implementation of Agile Scrum Method and Return On Investment (ROI) Analysis on Library Information System
DOI : https://doi.org/10.36085/jsai.v8i2.8187
Abstract Views: 0 ,
Downloads: 0
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Analysis of Archer.exe Malware to Identify Potential Threats on Operating Systems Using the Hybrid Analysis Method
DOI : https://doi.org/10.36085/jsai.v8i2.8269
Abstract Views: 0 ,
Downloads: 0
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Analysis of Canva and Gamma User Satisfaction Among Students Using the System Usability Scale (SUS) Method
DOI : https://doi.org/10.36085/jsai.v8i2.8214
Abstract Views: 0 ,
Downloads: 0