Fast in Technologies and AI Solutions (FTAS) is a peer-reviewed scientific journal published by Forum Akademisi dan Dosen Peneliti (FAST), dedicated to the dissemination of high-quality research in the field of technology and artificial intelligence. The journal provides a platform for scholars, researchers, and professionals to publish original articles and reviews that explore the development, implementation, and impact of emerging technologies and intelligent systems.

Published three times a year in October, February, and  June FTAS adopts a double-blind peer review process to ensure that each manuscript is evaluated fairly, objectively, and anonymously by at least two independent reviewers. This process upholds the integrity and academic standards of the journal.

The focus of Fast in Technologies and AI Solutions (FTAS) includes artificial intelligence and machine learning, information technology, software engineering, computer science, and emerging technologies such as blockchain, IoT, AR/VR, and 5G. It also covers topics related to human-computer interaction, smart systems applications across industries like healthcare and finance, and the broader socio-economic implications of digital transformation.

Fast in Technologies and AI Solutions (FTAS) aims to contribute to the advancement of science and technology by publishing innovative research that bridges theory and practice, while promoting ethical standards and interdisciplinary collaboration.

Vol. 1 No. 1 (2025): October

Published: 2025-10-01

Utilization of GIS for Determining Ideal Waste Collection Point (TPS) Locations in Yogyakarta City

Arfa Zaidan Riski, Riski Tama Hidayatullah (Author) | 1-6 Pages

Website Security Analysis Against SQL Injection Attack: Systematic Review

Lathiifah Faathimah , Zahyra Darrel Fauqa Fauqa, Nabila Putri Nuraini, Diifta Aulya Rahmadanti (Author) | 7-10 Pages

Analysis of The Influence of Artificial Intelligence (Ai) Technology on Modern Life

Reyhan Alfandi Arya Putra, Refa Maulana, Fitrah Neonal (Author) | 11-14 Pages

Comparison of RAM and CPU Usage Efficiency on Brave Browser and Microsoft Edge

Armondha Ayesha Shakila, Emilda Amanda, Fasha Taffana Zahrie, Amarillis Annisa Octaviana (Author) | 15-21 Pages

The Role of Technology and Artificial Intelligence (AI) in Improving the Competence of Junior High School Teachers Towards Smart Schools

Alifia Hartisya, Devina Agnesia Pratami, Muhammad Rivaldi, Dhimas Ibrahim, Delicia Risa (Author) | 22-27 Pages

Optimization of Data Search Process Using a Combination of Merge Sort and Binary Search

Dimas Rizky Aulia, Faris Andisa, Hafid Nasrullah, Firdiawan Hermawan (Author) | 28-35 Pages
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Fast in Technologies and AI Solutions (FTAS) is a peer-reviewed scientific journal published by Forum Akademisi dan Dosen Peneliti (FAST), dedicated to the dissemination of high-quality research in the field of technology and artificial intelligence. The journal provides a platform for scholars, researchers, and professionals to publish original articles and reviews that explore the development, implementation, and impact of emerging technologies and intelligent systems.

Published three times a year in October, February, and June FTAS adopts a double-blind peer review process to ensure that each manuscript is evaluated fairly, objectively, and anonymously by at least two independent reviewers. This process upholds the integrity and academic standards of the journal.

The focus of Fast in Technologies and AI Solutions (FTAS) includes artificial intelligence and machine learning, information technology, software engineering, computer science, and emerging technologies such as blockchain, IoT, AR/VR, and 5G. It also covers topics related to human-computer interaction, smart systems applications across industries like healthcare and finance, and the broader socio-economic implications of digital transformation.

Fast in Technologies and AI Solutions (FTAS) aims to contribute to the advancement of science and technology by publishing innovative research that bridges theory and practice, while promoting ethical standards and interdisciplinary collaboration.

 

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