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All Journal Jurnal Ilmiah Sistem Informasi dan Ilmu Komputer Pelayanan Unggulan: Jurnal Pengabdian Masyarakat Terapan
Ilsa Palingga Ninditama
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Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Economics, Econometrics & Finance Education Industrial & Manufacturing Engineering

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Pelatihan Dasar Analisis Data Menggunakan Google Colab dan Python Untuk Siswa SMA di Wilayah Saboking-king Palembang Sinta Bella Agustina; Sherly Malini; Ilsa Palingga Ninditama; Yike Diana Putri
Pelayanan Unggulan : Jurnal Pengabdian Masyarakat Terapan Vol. 2 No. 2 (2025): Mei : Pelayanan Unggulan : Jurnal Pengabdian Masyarakat Terapan
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/unggulan.v2i2.1397

Abstract

This training program is designed to strengthen digital literacy and basic skills in data analysis for high school students in the Saboking-king area, Palembang, by introducing the Python programming language and the use of Google Colab as a cloud-based programming platform. The approach applied is project-based learning and hands-on experience, which includes planning, implementation, and evaluation stages. Based on the implementation results, the majority of participants showed a good understanding of Python basics and successfully completed the mini-project assignments. The final evaluation revealed an increase in students' motivation and interest to explore programming further. The success of this program confirms that the learning methods and media used are able to support students' understanding of the basic concepts of data analysis. Similar activities are recommended to be implemented in other areas that have limited access to technology.
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 Dahnial Dahnial Dita Rahmawati M Bambang Purwanto Sherly Malini Sinta Bella Agustina Yike Diana Putri