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All Journal 'ADALAH Jurnal Ilmiah Sistem Informasi dan Ilmu Komputer
Dahnial Dahnial
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Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice

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Rekontruksi Wajah Buram Demokrasi Dahnial Dahnial
ADALAH Vol 2, No 4 (2018)
Publisher : UIN Syarif Hidayatullah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (601.218 KB) | DOI: 10.15408/adalah.v2i4.8186

Abstract

Ada beberapa sistem politik pemerintahan yang dikenal di dunia, salah satunya adalah sistem demokrasi. Demokrasi merupakan bentuk pemerintahan di mana masyarakat dipandang setara dalam proses pengambilan keputusan. Da-lam hal ini masyarakat diposisikan sebagai pemegang kekuasaan tertinggi dalam mengambil kepu-tusan. Jadi segala sesuatu yang ber-bau kebijakan harus mempertim-bangkan aspirasi dan kehendak masyarakat.
Harnessing Artificial Intelligence (AI) in Personalizing Learning at Palembang Vocational Schools: An Exploratory Study Dahnial Dahnial; Ilsa Palingga Ninditama; Dita Rahmawati; M Bambang Purwanto
Jurnal ilmiah Sistem Informasi dan Ilmu Komputer Vol. 5 No. 3 (2025): November: Jurnal ilmiah Sistem Informasi dan Ilmu Komputer
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/juisik.v5i3.1664

Abstract

This study investigates the application of artificial intelligence (AI) to enhance personalized learning in Vocational High Schools (SMKs) in Palembang City. The background of this research is based on the need for adaptive learning to accommodate the diverse characteristics of vocational students, as well as the challenges faced by conventional learning methods. This study employs a descriptive, qualitative approach with an exploratory design. Data was collected through in-depth interviews and observations of teachers and students in five vocational schools, both public and private. The results show that AI has been utilized as a Learning Management System (LMS), an Android-based application, and an automated evaluation system, allowing teachers to monitor individual student progress. The main obstacles faced include a limited understanding of technology among teachers, uneven network infrastructure, and concerns about teachers being displaced by automated systems. On the other hand, AI also opens up opportunities to enhance learning motivation, improve teaching efficiency, and provide a more adaptive learning experience. This research contributes to the understanding of AI's application in vocational schools and lays the foundation for developing a more inclusive and responsive digital education policy.
Co-Authors Dita Rahmawati Ilsa Palingga Ninditama M Bambang Purwanto