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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) JURNAL SISTEM INFORMASI JOURNAL AGRIBUSINESS Sistemasi: Jurnal Sistem Informasi INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi Jurnal Komputasi IJoLE: International Journal of Language Education Applied Information System and Management Kwangsan: Jurnal Teknologi Pendidikan Jurnal Ilmu Kebidanan (Journal of Midwivery Science) Jurnal Informatika Global Jurnal Ilmiah Ilmu Komputer Fakultas Ilmu Komputer Universitas Al Asyariah Mandar bit-Tech Jurnal Ilmu Kebidanan (Journal of Midwivery Science) Jurnal of Information Technology and Society (JITS) Infomans: Jurnal Ilmu-ilmu Informatika dan Manajemen Informatics and Software Engineering (ISE) Jurnal Ilmiah Informatika dan Komputer Sistematis Journal of Information Technology Jurnal Komputasi
Yuni Sugiarti
Universitas Islam Negeri Syarif Hidayatullah Jakarta
Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Health Professions Languange, Linguistic, Communication & Media Medicine & Pharmacology Nursing Public Health Social Sciences Veterinary

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Indonesia Islamic students' belief towards the performance of artificial intelligence: perceptions, impacts, and anticipations Yuni Sugiarti; Ence Oos Mukhamad Anwas; Fitroh Fitroh; Janu Arlinwibowo; Ihsan Maulana Anwas
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 15, No 4: August 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v15.i4.pp3955-3966

Abstract

This research aims to i) determine the belief level of Islamic university students towards AI for learning and ii) what factors related to student confidence in using AI for learning. This study employed a mixed-methods sequential explanatory design. The research subjects were students of the strata 1, Universitas Islam Negeri Syarif Hidayatullah, and students of Universitas Islam Negeri Sunan Kalijaga, totaling 411 students. The research sample was obtained using random techniques. The quantitative data collection method is questionnaire-based, and data in-depth analysis is carried out qualitatively using the focus group discussion (FGD) technique. The quantitative data analysis method was carried out using descriptive statistics, and the qualitative study was carried out thematically. This research found that the majority of students have a high level of confidence in the performance of artificial intelligence (AI) as a tool for them. This level of belief is significantly and positively related to understanding of the AI platform used, lecturer support and guidance, parental support and guidance, and support from fellow students. However, belief in AI cannot be absolute because it is feared that it will result in poor use. AI platform users, especially students, lecturers, researchers, and anyone who uses it, need to recheck and deepen its accuracy and correctness.
LITERATURE REVIEW: METRIC SOFTWARE DALAM PENGEMBANGAN EVALUASI SOFTWARE: TINJAUAN PUSTAKA: METRIK PERANGKAT LUNAK DALAM PENGEMBANGAN EVALUASI PERANGKAT LUNAK Ramadhan Novriansyah; Riska Fitria; ZalfaRafi Putra; Yuni Sugiarti
Jurnal Teknologi Informasi dan Masyarakat Vol 2 No 2 (2024): Journal of Information Technology and Society (JITS)
Publisher : Universitas Muhammadiyah Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35438/jits.v2i2.47

Abstract

The use of metrics in software as an analysis method is considered quite difficult in application development. Many companies use this method. The research we conducted aimed to analyze software quality metrics and determine the absence of a common standard for selecting metrics in software testing systems. Our research method involved analyzing various software quality metrics to understand the diversity in metric selection practices among developers. The results of this study reveal that developers must devise their own methods for evaluating software quality given the specific characteristics of the industry in which the software will be used
Co-Authors Aghna Maula Gholib Andrie Tri Laksono Anggi Afriansyah Anggraeni Dian Permatasari Ari Lathifah Deni Hadiana Diajeng Rahmawati Divanca Salma Fadillah E. Oos M. Anwas Eliana Saputri Ence Oos Mukhamad Anwas Ence Oos Mukhamad Anwas Evi Supandi Fika Baraka Fitroh Fitroh Huda, Muhammad Qomarul Husna, Miftahul Ihsan Maulana Anwas Janniethia Janu Arlinwibowo Khofifa Najma Iftitah Lasera Tejo Sugito Maulana Asykari Muhammad Maulana, Rizqi Mustafa Meinarini Catur Utami Muhammad Sanul Akbar Muhammad Shidqa Irahman Mukhammad Khoirullah Nia Kumaladewi Nida’ul Hasanati Nugraha, Zahra Sabila Nur Aeni Hidayah Nur Iffadah, Yusrika Nur Syihab, Luthfi Pintam Ayu Yastirin Qurrotul Aini Ramadhan Novriansyah Riska Fitria Rosalina Aprianti Rosmala Kurnia Dewi Safina Yulianti Siti Faridha Syifa Fauziyah Arief Wibowo, Ishma Tsabita Winci Firdaus ZalfaRafi Putra