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All Journal Jurnal Sains Dan Teknologi (SAINTEKBU) JOURNAL OF SCIENCE AND SOCIAL RESEARCH Building of Informatics, Technology and Science Jatilima : Jurnal Multimedia Dan Teknologi Informasi JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) JPM: JURNAL PENGABDIAN MASYARAKAT Instal : Jurnal Komputer Jurnal Minfo Polgan (JMP) Jurnal Nasional Teknologi Komputer Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Jurnal Hasil Pengabdian Masyarakat (JURIBMAS) International Conference on Sciences Development and Technology Journal of Accounting Research, Utility Finance and Digital Assets (JARUDA) Jurnal Manajemen Sistem Informasi Jurnal Ilmu Komputer dan Teknik Informatika Jurnal Pengabdian Masyarakat Berdampak Journal of Electrical Engineering Research Proceedings of The International Conference on Computer Science, Engineering, Social Sciences, and Multidisciplinary Studies
Rizal, Chairul
Universitas Pembangunan Panca Budi
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Physics Public Health Social Sciences Transportation Other

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Penerapan Smart Grid Berbasis IoT dalam Manajemen Distribusi Energi di Lingkungan Perkotaan Sitha, Nur Syifa'u; Supiyandi, Supiyandi; Rizal, Chairul
Journal of Electrical Engineering Research Vol. 1 No. 1 (2025): January 2025
Publisher : CV. Raskha Media Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64803/joeer.v1i1.4

Abstract

Perkembangan teknologi Internet of Things (IoT) memberikan peluang besar dalam peningkatan efisiensi dan keandalan sistem kelistrikan, khususnya pada lingkungan perkotaan yang memiliki tingkat konsumsi energi tinggi. Salah satu penerapannya adalah integrasi konsep smart grid berbasis IoT dalam manajemen distribusi energi. Penelitian ini membahas penerapan smart grid yang mampu memonitor, mengontrol, dan mengoptimalkan distribusi energi listrik secara real-time dengan memanfaatkan perangkat sensor, jaringan komunikasi, serta sistem pengolahan data berbasis IoT. Dengan adanya smart grid, distribusi energi di kawasan perkotaan dapat lebih adaptif terhadap perubahan beban listrik, mengurangi risiko blackout, serta meningkatkan efisiensi pemanfaatan energi. Selain itu, penggunaan IoT memungkinkan terwujudnya sistem distribusi yang lebih transparan, di mana data konsumsi energi dapat diakses dan dianalisis untuk mendukung pengambilan keputusan yang tepat. Hasil kajian menunjukkan bahwa penerapan smart grid berbasis IoT tidak hanya meningkatkan keandalan jaringan listrik, tetapi juga mendukung pengembangan kota cerdas (smart city) yang berkelanjutan. Oleh karena itu, integrasi teknologi ini menjadi langkah strategis dalam menghadapi tantangan kebutuhan energi di masa depan.
Pelatihan Coding dan Artificial Intelligence (AI) Untuk Tenaga Pendidik dan Kependidikan SMA Islam Alulum Terpadu Medan Rizal, Chairul; Linda Wahyuni; Supiyandi; Muhammad Eka; Yusuf Ramadhan Nasution
JURIBMAS : Jurnal Hasil Pengabdian Masyarakat Vol 4 No 2 (2025): Oktober 2025
Publisher : LKP KARYA PRIMA KURSUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62712/juribmas.v4i2.693

Abstract

Perkembangan teknologi digital, khususnya programming (coding) dan kecerdasan buatan (Artificial Intelligence), menuntut generasi muda untuk memiliki literasi digital yang memadai. SMA Islam Alulum Terpadu sebagai institusi pendidikan berbasis keislaman membutuhkan penguatan kompetensi tenaga pendidik dan kependidikan agar mampu beradaptasi dengan perkembangan tersebut. Kegiatan pengabdian masyarakat ini bertujuan meningkatkan pemahaman dan keterampilan dasar tenaga pendidik dan kependidikan mengenai coding dan AI melalui pelatihan praktik langsung. Metode pelaksanaan menggunakan pendekatan participatory training yang melibatkan tenaga pendidik dan kependidikan secara aktif dalam sesi pengenalan konsep, praktik membuat program menggunakan Chat GPT dan Canva, serta pemanfaatan platform AI generatif dan AI no-code. Hasil evaluasi menunjukkan adanya peningkatan signifikan pada tingkat pemahaman tenaga pendidik dan kependidikan, yang ditunjukkan melalui perbandingan nilai pre-test dan post-test, peningkatan kreativitas dalam mini project, serta antusiasme tinggi terhadap pemanfaatan teknologi. Kegiatan ini diharapkan menjadi fondasi bagi pengembangan kurikulum ekstrakurikuler berbasis teknologi di sekolah.
Development of Multimodal Generative AI Models for Adaptive Education Personalization in the Era of Quantum Machine Learning Amin, Muhammad; Rizal, Chairul; Muslem R, Imam
Bahasa Indonesia Vol 17 No 09 (2025): Instal : Jurnal Komputer
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jurnalinstall.v17i09.437

Abstract

The rapid advancement of Artificial Intelligence (AI) has transformed the educational landscape, making it increasingly crucial to develop adaptive and personalized learning systems. This study explores the development of a multimodal Generative AI model designed for adaptive educational personalization, enhanced by Quantum Machine Learning (QML). The model integrates various data types, including text, images, and voice, to create customized learning content tailored to individual student needs and learning styles. By combining the power of generative AI with quantum-inspired optimization techniques, this model aims to offer a more responsive and efficient learning experience. The research employs a mixed-methods approach, combining both quantitative and qualitative data to evaluate the effectiveness of the model in improving learning outcomes. The findings suggest that this hybrid approach holds significant potential for revolutionizing adaptive education, especially in resource-limited environments, and aligns with current educational trends such as the Merdeka Curriculum in Indonesia. The study concludes by highlighting the impact of quantum machine learning in enhancing personalization and overcoming the challenges posed by traditional educational models.
Aplikasi Web Komunitas Mahasiswa MBKM dengan Codeigniter 3.x dan Bootstrap 3 Harahap, Ricky Ramadhan; Supiyandi; Rizal, Chairul; Hasanuddin, Muhammad
Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Vol. 4 No. 2 (2025): September 2025
Publisher : LKP KARYA PRIMA KURSUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62712/juktisi.v4i2.710

Abstract

Program Merdeka Belajar–Kampus Merdeka (MBKM) menuntut adanya koordinasi intensif antara berbagai pemangku kepentingan, termasuk mahasiswa, dosen pembimbing, koordinator program, dan mitra eksternal. Namun, komunikasi pelaksanaan MBKM di banyak perguruan tinggi masih memanfaatkan saluran berbasis aplikasi terpisah yang menyebabkan fragmentasi informasi, keterlambatan penyampaian pesan, serta lemahnya dokumentasi aktivitas. Penelitian ini bertujuan mengembangkan dan mengevaluasi aplikasi web komunikasi MBKM berbasis CodeIgniter 3.x dan Bootstrap 3 sebagai solusi komunikasi terpusat yang ringan, efisien, dan mudah diimplementasikan. Metode yang digunakan adalah Research and Development dengan tahapan analisis kebutuhan, perancangan sistem, pengembangan aplikasi berbasis MVC, pengujian fungsional menggunakan Black Box Testing, serta evaluasi pengguna melalui kuesioner skala Likert. Aplikasi yang dikembangkan memiliki fitur utama berupa autentikasi berbasis peran, pesan pribadi dan grup, forum diskusi, unggah-unduh dokumen, notifikasi otomatis, dan dashboard monitoring aktivitas mahasiswa. Hasil pengujian menunjukkan seluruh modul berjalan sesuai spesifikasi tanpa kegagalan fungsional. Evaluasi pengguna memperlihatkan tingkat keberterimaan tinggi pada aspek kemudahan penggunaan, manfaat sistem, dan kualitas antarmuka. Temuan penelitian membuktikan bahwa pemanfaatan framework ringan dengan desain berbasis kebutuhan spesifik MBKM mampu meningkatkan efektivitas komunikasi, konsistensi dokumentasi, serta efisiensi monitoring pelaksanaan program. Aplikasi ini dinilai layak untuk diimplementasikan sebagai media komunikasi resmi MBKM di lingkungan perguruan tinggi
Interactive Museum Innovation with Digital Technology to Enhance Education and Preserve Cultural Heritage in Indonesia Rizal, Chairul; Erni Marlina Saari
Proceedings of The International Conference on Computer Science, Engineering, Social Science, and Multi-Disciplinary Studies Vol. 1 (2025)
Publisher : CV Raskha Media Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64803/cessmuds.v1.17

Abstract

Museums play an important role in preserving cultural heritage and educating the public. However, the changing behavior of the younger generation, who are more interested in digital media, has led to a further decline in visits to traditional museums. This research aims to design a digital technology-based interactive museum prototype as an effort to enhance education and cultural preservation in Indonesia. This research method uses a Research and Development (R&D) approach, which includes the stages of needs analysis, system design, prototype development, and user testing. The research instruments include the System Usability Scale (SUS) and semi-structured interviews with 30 respondents. The research findings indicate that the interactive museum prototype achieved an average SUS score of 75.6, placing it in the excellent category, and received positive feedback regarding increased visitor engagement in understanding cultural collections. This research contributes to the development of a digital museum model that meets the needs of Indonesian society.
Application of Machine Learning in Computer Hardware Failure Detection Systems on Local Area Networks Irwan, Irwan; Supiyandi, Supiyandi; Rizal, Chairul
Proceedings of The International Conference on Computer Science, Engineering, Social Science, and Multi-Disciplinary Studies Vol. 1 (2025)
Publisher : CV Raskha Media Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64803/cessmuds.v1.71

Abstract

This study explores the application of machine learning (ML) techniques in detecting hardware failures in Local Area Networks (LANs). As networks become increasingly complex, the ability to predict and address hardware issues before they lead to system failures is crucial for maintaining network reliability and performance. The research investigates several machine learning algorithms, including supervised and unsupervised models, to analyze network data and identify early signs of potential hardware malfunctions. The study emphasizes the use of features such as network traffic patterns, hardware performance metrics, and error logs to train models capable of detecting anomalies and predicting failures. The effectiveness of these models is evaluated based on their accuracy, precision, and recall in identifying hardware failures. The findings aim to contribute to the development of more efficient and proactive failure detection systems that can enhance network uptime and reduce the costs associated with unexpected hardware downtimes.
Optimalisasi Pembelajaran Coding Berbasis Kecerdasan Buatan untuk Meningkatkan Literasi Digital Siswa Wahyuni, Linda; Rizal, Chairul; Rosnelly, Rika; Sari, Rita Novi; Hardianto, Hardianto; Harahap, Charles Bronson
JPM: Jurnal Pengabdian Masyarakat Vol. 6 No. 3 (2026): January 2026
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jpm.v6i3.2785

Abstract

This community service program aims to enhance the professional capacity of teachers through mastery of modern educational technologies. The implementation of this program is based on several issues identified within the partner institution, including teachers’ limited understanding of artificial intelligence, their low ability to integrate coding into learning activities, and the suboptimal use of digital tools and media in the classroom. These challenges contribute to students’ low digital literacy and the insufficient application of project-based learning that aligns with current technological developments. The training program was designed to strengthen teachers’ competencies in implementing AI-based coding instruction through participatory approaches and hands-on practice. The learning modules were developed contextually to meet the specific needs of the partner school, enabling teachers to adapt them easily into their teaching practices. The results of the program indicate significant improvements in teachers’ understanding of fundamental AI concepts, their ability to integrate coding into the learning process, and their capacity to apply digital technologies ethically and effectively. Enhanced student engagement was also observed, as learners became more enthusiastic and active in participating in project-based learning activities involving AI applications. Although the program faced several limitations, such as inadequate technological equipment and limited implementation time, it has established a strong foundation for the development of more structured and sustainable follow-up activities. Overall, the outcomes demonstrate that strengthening teachers’ competencies in artificial intelligence plays a crucial role in fostering an innovative digital learning ecosystem aligned with the demands of 21st-century education.
Implementation of Mobile-Based Inventory Management System to Improve Stock Accuracy in SMEs Harahap, Ricky Ramadhan; Supiyandi, Supiyandi; Rizal, Chairul
Jurnal Pengabdian Masyarakat Berdampak Vol. 2 No. 1 (2026): Januari 2026
Publisher : Raskha Media Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64803/jupemba.v2i1.127

Abstract

The SME partner faced significant issues with manual stock recording, resulting in discrepancies, delayed reporting, and input errors. This community service activity aimed to implement a mobile-based inventory management system to improve stock accuracy and operational efficiency. The methods included needs assessment, system design, cloud-based mobile deployment, training for 12 employees, and evaluation using the Stock Accuracy Rate and transaction recording time. The results showed an increase in stock accuracy from 83% to 96%, a reduction in stock discrepancies from 17% to 4%, and a decrease in recording time from 9 minutes to 3 minutes per transaction. The system enabled real-time reporting and automatic minimum stock notifications. The implementation significantly enhanced operational efficiency and data-driven decision-making.
Penerapan Metode Waterfall Dalam Perancangan Sistem Informasi Merdeka Belajar Kampus Merdeka Berbasis Web Fachri, Barany; Rizal, Chairul; Supiyandi
Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Vol. 2 No. 3 (2024): Februari 2024
Publisher : LKP KARYA PRIMA KURSUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62712/juktisi.v2i3.147

Abstract

Program Kegiatan Merdeka Belajar Kampus Merdeka (MBKM) adalah program yang bertujuan untuk mendorong mahasiswa untuk menguasai berbagai keilmuan yang akan membantu mereka masuk ke dunia kerja di masa depan. Program ini juga dikenal sebagai Indikator Kinerja Utama (IKU). Untuk memastikan ketersediaan data dan informasi saat menyimpan, mendistribusikan, dan pengambilan keputusan stategis berdasarkan informasi yang diolah oleh sistem informasi MBKM, sistem informasi sangat diperlukan. Tujuan penelitian adalah untuk membangun sistem informasi Merdeka Belajar Kampus Merdeka (MBKM) yang dapat mengolah data MBKM siswa untuk digunakan sebagai sumber informasi yang bermanfaat dalam proses pengambilan kebijakan manajemen dan strategis. Penelitian ini menggunakan pendekatan Waterfall untuk mengembangkan perangkat lunak. Hasilnya adalah sistem informasi Merdeka Belajar Kampus Merdeka (MBKM) yang dapat membantu memenuhi kebutuhan informasi kegiatan Merdeka Belajar Kampus Merdeka (MBKM) dan mendukung pencapaian IKU.
Co-Authors AA Sudharmawan, AA Abdul Karim Armasari, Selly Barany Fachri Chatarina Umbul Wahyuni Dedi Purwanto, Dedi Deni Apriadi Eka Putra Eka, Muhammad Eka, Muhammad Eko Hariyanto Elisa Erni Marlina Saari Fachri, Barany Fakhruddin Nasution, Akhmad Harahap, Charles Bronson HARDIANTO - Haris Al-Muridhillah, Sultan Haryadi, Patrialman Hendry Hendry . Heri Kurniawan, Heri Hermansyah Hermansyah Irwan Irwan Irwan Khairunnisa Khairunnisa Kurniawan, Oktavian Putra Leni Marlina LINDA WAHYUNI Listya Ningtiyas, Hastanti Maria Stefanova Br Manik, Icha Mochammad Imron Awalludin Muhammad Amin Muhammad Eka Muhammad Hasanuddin, Muhammad Muhammad Iqbal Muhammad Noor Hasan Siregar Muhammad Syahputra Novelan Muhammad Zen, Muhammad Muslem R, Imam Nasution, Yusuf Ramadhan Nasution, Yusuf Ramadhan Nuranisah Nuranisah Pasaribu, Saddam Husen Romadon Rahmayani, Putri Ricky Ramadhan Harahap Rika Rosnelly, Rika Rismayanti Rismayanti Saidi Ramadan Siregar Sanjaya, Dian Sari, Rita Novi Siregar, Habibie Fahlevy Sitha, Nur Syifa'u Siti Khodijah Subhan Subhan Suherman, Endang Supiyandi Supiyandi Syamsiar, Syamsiar Tambunan, M. Johan Pratama Tirta, Deazei Wahyuni, Linda Wirayuda, Satria Yusma, Yanti Yusuf Ramadhan Nasution Zhafira, Raihan Novalda Ziky, Ziky Zulham Zulham