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Perancangan Sistem E-Voting Pemilu Raya Berbasis One-Time Token di UIN Sjech M. Djamil Djambek Bukittinggi Zio Farid Al Muzacy; Gusnita Darmawati
Didactum : Journal of Educational Innovation and Learning Studies Vol. 1 No. 3 (2026): September 2026
Publisher : Didactum : Journal of Educational Innovation and Learning Studies

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Abstract

The development of digital technology provides opportunities to improve the efficiency of Student General Elections (PEMIRA) in higher education. The implementation of PEMIRA at UIN Sjech M. Djamil Djambek Bukittinggi, which still uses paper-based media, faces several challenges, including voter queues, printing costs, time-consuming vote recapitulation, and the potential for multiple voting. This condition indicates the need for a digital voting system with an authentication mechanism to ensure that each voter can cast only one vote. This study aims to produce a web-based E-Voting system design using a One-Time Token (OTT) consisting of a unique eight-character alphanumeric code assigned to each voter. The system was developed using the Research and Development (R&D) method with the System Development Life Cycle (SDLC) Waterfall model, consisting of communication, planning, modeling, construction, and deployment. The system utilizes Next.js, PostgreSQL through Supabase, and Vercel as the deployment platform. Product feasibility was evaluated through validity, practicality, and effectiveness tests. Validity involved one expert using an 11-item instrument analyzed with Aiken's V, practicality was assessed by five PEMIRA committee practitioners, while effectiveness was tested with nine student users using Cohen's Kappa coefficient. OTT functionality was tested through Black-Box Testing. The results obtained an Aiken's V value of 0.91 (valid), practicality of 98% (very practical), and effectiveness of 0.857 (very high). Functional testing showed that all scenarios operated as designed, including rejecting previously used tokens. The system can serve as an alternative for PEMIRA digitalization in higher education, although implementation at different institutions requires testing with more diverse numbers of users and conditions.
Pemanfaatan Kecerdasan Buatan untuk Evaluasi Pembelajaran dan Pendampingan Guru Sekolah Dasar Gumarang I Zio Farid Al Muzacy; Hari Antoni Musril
TadrisReach: Journal of Educational Service Vol. 1 No. 1 (2025): Maret 2025
Publisher : Fakultas Tarbiyah dan Ilmu Keguruan - UIN Bukittinggi

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Perkembangan teknologi kecerdasan buatan (Artificial Intelligence/AI) memberikan peluang baru dalam meningkatkan kualitas evaluasi pembelajaran di Sekolah Dasar. Penelitian ini bertujuan untuk mendampingi guru Sekolah Dasar dalam memanfaatkan AI untuk memperbaiki proses evaluasi pembelajaran. Pendampingan dilakukan melalui lima tahapan, yaitu perencanaan, sosialisasi, pelatihan guru, implementasi di kelas, dan evaluasi. Metode yang digunakan adalah pendekatan kualitatif dengan observasi, wawancara, dan dokumentasi lapangan. Hasil pendampingan menunjukkan adanya peningkatan kompetensi guru dalam menggunakan aplikasi berbasis AI, termasuk pembuatan soal otomatis, pembuatan rubrik, pemberian umpan balik, dan analisis hasil belajar siswa. Selain itu, siswa menunjukkan peningkatan keterlibatan aktif dan motivasi belajar. Meskipun terdapat kendala seperti keterbatasan perangkat dan akses internet, program ini memberikan dampak positif dalam menciptakan proses pembelajaran yang inovatif, efisien, dan adaptif. Temuan ini menegaskan pentingnya dukungan berkelanjutan dari sekolah, pemerintah, dan masyarakat untuk mengoptimalkan pemanfaatan AI dalam evaluasi pembelajaran di Sekolah Dasar. The development of Artificial Intelligence (AI) technology offers new opportunities to enhance the quality of learning evaluation in elementary schools. This study aims to provide guidance for elementary school teachers in utilizing AI to improve the learning assessment process. The mentoring program was implemented through five stages: planning, socialization, teacher training, classroom implementation, and evaluation. A qualitative approach was applied using observation, interviews, and field documentation. The results indicate an improvement in teachers’ competencies in using AI-based applications, including automatic question generation, rubric creation, feedback delivery, and student learning data analysis. Additionally, students showed increased active participation and learning motivation. Despite challenges such as limited devices and internet access, the program positively impacted the creation of more innovative, efficient, and adaptive learning processes. These findings highlight the importance of continuous support from schools, government, and communities to optimize AI utilization in learning evaluation in elementary schools.