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All Journal ALGORITMA : JURNAL ILMU KOMPUTER DAN INFORMATIKA Jatilima : Jurnal Multimedia Dan Teknologi Informasi Al-MIKRAJ: Jurnal studi Islam dan Humaniora Mudabbir: Journal Research and Education Studies Journal of Artificial Intelligence and Engineering Applications (JAIEA) Jurnal Pengabdian Masyarakat dan Riset Pendidikan The Indonesian Journal of Computer Science
Elsa Sabrina
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Humanities Automotive Engineering Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Social Sciences Other

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Enhancing Problem-Solving Learning Models: A Review from the Lens of Independent Learning in the Post-Pandemic Era Elsa Sabrina; Ambiyar; Wulansari, Rizky Ema
The Indonesian Journal of Computer Science Vol. 13 No. 2 (2024): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i2.3868

Abstract

This research aims to explore the optimization of the problem-solving learning model within the context of independent learning in the post-pandemic era. Utilizing a systematic literature review method and the PRISMA model, the study identifies 25 pertinent articles concerning the implementation of the problem-solving learning model in independent learning. The analysis indicates that applying this model positively impacts students' critical thinking abilities, enhances creativity, and reinforces communication and collaboration skills. From an independent learning standpoint, the problem-solving learning model grants students the autonomy to cultivate creative thinking patterns and fosters heightened engagement in the learning process. The study also highlights adapting the model to online learning, with teachers as facilitators. In conclusion, these findings underscore the effectiveness of the problem-solving learning model in independent learning, especially in the post-pandemic era. They also offer valuable insights for educators and policymakers to develop adaptive learning strategies suited to the current educational environment.
Mengeksplor Dampak Interaksi Siswa dengan ChatGPT terhadap Berpikir Kritis dan Pemecahan Masalah Elsa Sabrina; Yulianti, Rosi; Ambiyar; Rizal, Fahmi
The Indonesian Journal of Computer Science Vol. 13 No. 3 (2024): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i3.4073

Abstract

Penelitian ini mengeksplorasi dampak integrasi ChatGPT, sebuah kecerdasan buatan berbasis teks, dalam konteks pendidikan modern. Dengan melibatkan 215 peserta dari berbagai pemangku kepentingan, studi ini menyelidiki pengaruh interaksi dengan ChatGPT terhadap keterampilan kognitif, seperti berpikir kritis dan pemecahan masalah. Hasil menunjukkan variasi persepsi terhadap dampak ChatGPT, dengan beberapa peserta melaporkan peningkatan yang signifikan sementara yang lain merasakan dampaknya terbatas. Kesimpulan menekankan pentingnya penggunaan teknologi kecerdasan buatan secara bertanggung jawab dalam pendidikan, sambil menyadari keterbatasan metodologis dan memperhitungkan perspektif yang beragam dalam mengoptimalkan pengalaman belajar.
Performance Evaluation of a Mobile Attendance System Using Dual-Factor Dynamic Qr Code and Gps Geofencing Siregar, Rosma; Maulana, Bagoes; Muhammad Isnaini; Elsa Sabrina; Hutahaean, Harvei Desmon
Jurnal Multimedia dan Teknologi Informasi (Jatilima) Vol. 7 No. 06 (2026): Jatilima : Jurnal Multimedia Dan Teknologi Informasi
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jatilima.v7i06.2281

Abstract

This study develops and evaluates an Android-based attendance system integrating dual-factor authentication using dynamic QR codes and GPS geofencing to prevent proxy attendance in higher education. The system was developed using the Waterfall model and evaluated through quantitative experiments measuring response time, GPS accuracy drift, and security robustness via Black-Box testing. Results show high efficiency with an average response time below 1.5 seconds. GPS validation achieved an average drift of 4.2 meters outdoors and 12.5 meters indoors, remaining within the 30-meter geofencing threshold. The system successfully rejected unauthorized attempts, including out-of-range scans and fake GPS spoofing. These findings demonstrate that combining dynamic QR codes with GPS validation significantly improves attendance authenticity and system reliability compared to single-factor methods. The study provides empirical evidence of a robust and scalable solution for secure mobile-based attendance systems in higher education.
Co-Authors Afandi Yusuf Lubis Aldy Primanda Barus Alya Rahmi Ambiyar, Ambiyar Andhika Herayono Anjelita Ariyantika Br Ginting Asmar Yulastri Debora Cindy Purba Dedy Irfan Diah Fadilillah Dwi Febrina Eliasta Agustinus Sebayang Fadilla Fahmi Rizal Firdaus Firdaus Ganefri Ghaitsa Zahira Lubis Hanifah Mardhiyah Hansi Effendi Hasan Maksum Hutahaean, Harvei Desmon Hutri Ami Imam F Hutasuhut Ira Gusdhini Harahap Jesica Aime Siahaan Laili Tanzila Maria Niscaya Ndruru Marissa Dealova Marbun Maulana, Bagoes Monika Putri Puspita Siagian MUHAMMAD ILHAM MUHAMMAD ISNAINI Muhammad Nadhif Faturrahman Patra AdyPratama Pinkan Ramadhani Raden Muhammad Fathur Rahman Rafael Owen Kevin Nainggolan Raffi Hidayat Rahmansyah Angga Saputra Rahmi Isnaini Raisa Nadrah Shafira Hia Rifki Ferdiansyah Rizky Abimayu Utama Tanjung Rosma Siregar Selvia Amanda Kayla Shinta Eva Celina Silvi Amelia Sopiah Rahmadani br Torus Syahputra, Fahmy Wan Safari Ramadhan Waskito Wulansari, Rizky Ema Yulianti, Rosi Zherina Br Sitepu