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All Journal REMIK : Riset dan E-Jurnal Manajemen Informatika Komputer Journal of Systems Engineering and Information Technology Jurnal Pengabdian Kepada Masyarakat Indonesia
Widya Wahyuni
Politeknik Negeri Padang
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Decision Sciences, Operations Research & Management Education Engineering Public Health Social Sciences

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Pemanfaatan Smartphone Untuk Pembuatan Video Bagi Siswa Broadcasting dan Perfilman Di SMKN 7 Padang Widya Wahyuni; Mutia Rahmi Dewi; Sumema; Angga Putra Arlis; Elfia Sukma; Sri Dewi Angguni
Jurnal Pengabdian kepada Masyarakat Indonesia (JPKMI) Vol. 5 No. 3 (2025): Desember: Jurnal Pengabdian Kepada Masyarakat Indonesia (JPKMI)
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jpkmi.v5i3.8770

Abstract

This community service program aims to improve the competencies of students at SMKN 7 Padang in smartphone-based video production. The training was designed to bridge the skills gap between the creative industry’s demands and the students’ current abilities, particularly those in the Broadcasting and Filmmaking department. The implementation used a participatory approach through several stages: needs assessment, material development, technical training, production practice, editing using CapCut, and evaluation through questionnaires. A total of 40 students participated and were divided into four groups to support collaborative practice. The results show significant improvement in both technical skills and creativity. Participants successfully produced audiovisual works based on scripts and demonstrated progress in shooting, editing, and digital publication. Questionnaire results indicated very high satisfaction levels, with implementation indicators above 71% and outcome indicators above 90%, reflecting the program’s effectiveness in enhancing students’ knowledge and skills. Recommendations include advanced training on directing, advanced editing, YouTube channel management, and strengthened collaboration between higher education institutions and schools.
Sistem Informasi TP-PKKKabupaten Agam Berbasis Website Menggunakan Framework Codeigniter Milla Apriliana; Devi Gusmita; Widya Wahyuni
REMIK: Riset dan E-Jurnal Manajemen Informatika Komputer Vol. 10 No. 1 (2026): Volume 10 Nomor 1 Januari 2026
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/remik.v10i1.15753

Abstract

Teknologi informasi memiliki peran strategis dalam meningkatkan efisiensi kinerja dan transparansi informasi organisasi, termasuk pada organisasi kemasyarakatan seperti Tim Penggerak Pemberdayaan dan Kesejahteraan Keluarga (TP-PKK). Pengelolaan kegiatan TP-PKK Kabupaten Agam yang masih dilakukan secara konvensional menghadirkan berbagai kendala, antara lain dalam dokumentasi kegiatan, distribusi informasi, koordinasi lintas jenjang, serta aksesibilitas informasi. Penelitian ini bertujuan untuk merancang dan mengembangkan sistem informasi berbasis web guna mendukung pengelolaan administrasi dan keterbukaan informasi TP-PKK Kabupaten Agam. Objek penelitian mencakup pengelolaan administrasi dan pendataan dasawisma pada seluruh tingkatan struktur organisasi, yaitu kabupaten, kecamatan, nagari, hingga dasawisma. Metode pengembangan sistem yang digunakan mengacu pada model *waterfall*, yang meliputi tahapan analisis kebutuhan, desain sistem, pengembangan, pengujian, dan pemeliharaan. Analisis kebutuhan dilakukan melalui observasi dan wawancara dalam forum diskusi bersama TP-PKK Kabupaten Agam. Pengembangan sistem dilaksanakan menggunakan framework CodeIgniter dengan bahasa pemrograman PHP dan basis data PostgreSQL. Hasil penelitian menunjukkan bahwa sistem informasi yang dikembangkan mampu mengakomodasi pencatatan buku administrasi TP-PKK, pendataan dasawisma, serta penyusunan laporan berjenjang dari tingkat keluarga hingga kabupaten. Pengujian fungsional membuktikan bahwa seluruh modul sistem beroperasi sesuai dengan kebutuhan administrasi TP-PKK Kabupaten Agam. Dengan demikian, dapat disimpulkan bahwa sistem informasi berbasis web yang dikembangkan berpotensi meningkatkan efisiensi administrasi dan mendukung keterbukaan informasi dalam TP-PKK Kabupaten Agam, sekaligus menjadi langkah awal dalam transformasi digital organisasi tersebut.
An Empirical Evaluation of ChatGPT as an Automated Machine Learning Code Generator for Image Classification Dedi Mardianto; Milla Apriliana; Eva Oktavia; Ideva Gaputra; Widya Wahyuni
Journal of Systems Engineering and Information Technology (JOSEIT) Vol 3 No 2 (2025)
Publisher : Ikatan Ahli Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/joseit.v4i2.7174

Abstract

The emergence of large language models such as ChatGPT has created unprecedented opportunities for automating software development processes, particularly within the machine learning domain. This study aims to empirically evaluate the effectiveness of ChatGPT in generating machine learning code for image classification tasks using the Keras framework. The research employs an experimental methodology utilizing the MNIST dataset, comprising 70,000 handwritten digit images. A systematic series of experiments was conducted through progressive prompting strategies, ranging from basic model construction to comprehensive evaluation protocols. The findings demonstrate that ChatGPT successfully generated 100% executable code without errors, with the resulting models achieving 99% accuracy on the test dataset. A notable discovery emerged in the form of "intelligent deviation" phenomena, wherein ChatGPT autonomously provided Convolutional Neural Network (CNN) architectures despite explicit requests for fully connected layers, demonstrating sophisticated contextual understanding. The generated code quality met professional standards with robust multi-library integration capabilities. This research provides the first systematic empirical contribution regarding large language model capabilities in machine learning code generation, offering significant implications for democratizing artificial intelligence technology access within educational and research contexts.
Co-Authors Angga Putra Arlis Dedi Mardianto Devi Gusmita Elfia Sukma Eva Oktavia Ideva Gaputra Milla Apriliana Mutia Rahmi Dewi Sri Dewi Angguni Sumema