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All Journal Jurnal Sains Dan Teknologi (SAINTEKBU) JMM (Jurnal Masyarakat Mandiri) ALGORITMA : JURNAL ILMU KOMPUTER DAN INFORMATIKA KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) JURIKOM (Jurnal Riset Komputer) JOURNAL OF SCIENCE AND SOCIAL RESEARCH Jurnal Teknik dan Informatika Building of Informatics, Technology and Science Jurnal Pengabdian Al-Ikhlas Jurnal Teknologi Dan Sistem Informasi Bisnis Jatilima : Jurnal Multimedia Dan Teknologi Informasi JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) International Journal of Advances in Data and Information Systems INFOKUM Journal Zetroem RESOLUSI : REKAYASA TEKNIK INFORMATIKA DAN INFORMASI JPM: JURNAL PENGABDIAN MASYARAKAT Bulletin of Computer Science Research Instal : Jurnal Komputer Bulletin of Information Technology (BIT) Jurnal Minfo Polgan (JMP) Journal of Information Systems and Technology Research Jurnal Nasional Teknologi Komputer KOMMAS: Jurnal Pengabdian Kepada Masyarakat Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Prioritas : Jurnal Pengabdian Kepada Masyarakat Jurnal Hasil Pengabdian Masyarakat (JURIBMAS) International Conference on Sciences Development and Technology Jurnal Manajemen Sistem Informasi Jurnal Pengabdian Masyarakat Jurnal Testing dan Implementasi 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 Prosiding Seminar Nasional Ilmu Komputer, Sosial Sains, Teknik Dan Multi-disiplin Ilmu International Journal of Applied Science and Technology Application
Chairul Rizal
Sains Dan Teknologi, Sistem Komputer, 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 Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice 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.
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.
Teknologi Digital untuk Meningkatkan Pendidikan dan Melestarikan Warisan Budaya melalui Museum Interaktif Indonesia Chairul Rizal; Muhammad Irfan Sarif; Muhammad Amin
Prosiding Seminar Nasional Ilmu Komputer, Sosial Sains, Teknik dan Multi-Disiplin Ilmu Vol. 1 (2025)
Publisher : Raskha Media Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64803/ikosstemi.v1.36

Abstract

Museum adalah sumber penting pendidikan dan pelestarian budaya.   Namun, pengunjung museum tradisional semakin berkurangan karena perilaku yang berubah dari generasi muda, yang lebih tertarik pada media digital.   Tujuan penelitian ini adalah untuk membuat prototipe museum interaktif yang menggunakan AI untuk meningkatkan pendidikan dan pelestarian budaya di Indonesia.   Analisis kebutuhan, desain sistem, pengembangan prototipe, dan pengujian pengguna adalah bagian dari proses penelitian ini, yang dilakukan melalui pendekatan penelitian dan pengembangan (R&D).   Skala Kegunaan Sistem (SUS) dan wawancara semi-terstruktur yang dilakukan dengan tiga puluh responden merupakan instrumen penelitian.   Temuan penelitian menunjukkan bahwa prototipe museum interaktif mencapai skor SUS rata-rata 75,6, menempatkannya dalam kategori yang sangat baik, dan menerima umpan balik positif mengenai peningkatan keterlibatan pengunjung dalam memahami koleksi budaya.  Penelitian ini berkontribusi pada pengembangan model museum digital yang memenuhi kebutuhan masyarakat Indonesia
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.
Systematic Literature Review - Turning Heads: Quantifying Hedonic, Eudaimonic, and Behavioural Engagement in 360° Tours Rizal, Chairul; Saari, Erni Marlina Binti
International Journal of Advances in Data and Information Systems Vol. 7 No. 1 (2026): April 2026 - International Journal of Advances in Data and Information Systems
Publisher : Indonesian Scientific Journal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59395/ijadis.v7i1.1477

Abstract

This systematic literature review (SLR) examines the relationship between 360° virtual experiences, user engagement, and conversion outcomes. It explores how immersion influences emotional, cognitive, and behavioral responses across fields such as education, tourism, cultural heritage, retail, and gaming. Drawing from empirical studies published between 2013 and 2025, the review investigates how factors like presence, perceived control, enjoyment, and cognitive load mediate engagement in immersive environments. Experimental and quasi-experimental designs dominate the analyzed studies, often using frameworks such as PLS-SEM to assess mediation and moderation effects. Findings show that interactivity (hotspots, mini-maps, gamification) and guidance mechanisms (narration, AI support) tend to enhance behavioral engagement, while high visual fidelity, contextual relevance, and user-centered control strengthen both hedonic and utilitarian conversions, including purchase intentions and revisit likelihood. However, gaps remain in methodological rigor, including small samples and inconsistent engagement metrics. The review concludes that effective 360° virtual experiences integrate emotional engagement with usability to transform immersion into measurable outcomes. It recommends future research to emphasize cross-domain comparisons, standardized measures, and longitudinal studies to better understand how immersive systems sustain engagement and influence conversion behavior over time.
Improving Students' Artificial Intelligence Literacy through Hybrid Training in Supporting the Competency of the Society 5.0 Era Supiyandi, Supiyandi; Rizal, Chairul; Efendi, Irman; Siregar, Muhammad Noor Hasan; Wibowo, Arief
JURIBMAS : Jurnal Hasil Pengabdian Masyarakat Vol 5 No 1 (2026): Juli 2026
Publisher : LKP KARYA PRIMA KURSUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62712/juribmas.v5i1.1038

Abstract

This community service program aimed to improve university students’ Artificial Intelligence (AI) literacy through hybrid training that supports the competencies required in the Society 5.0 era. The rapid advancement of digital technology has increased the need for students to understand, utilize, and critically evaluate AI technologies in academic and professional contexts. The program was implemented using a hybrid learning approach that combined face-to-face and online learning activities through educational counseling, workshops, interactive discussions, and practical simulations of AI applications. The participants were university students who received training in basic AI concepts, ethical use of AI, digital literacy, and the implementation of AI technologies to support academic activities and twenty-first-century competencies. The instruments used in this activity included training modules, digital presentation media, observation sheets, and pre-test and post-test evaluations to assess participants’ understanding before and after the training sessions. The findings indicated that the hybrid training successfully improved students’ understanding of Artificial Intelligence, enhanced their ability to use AI technologies in academic activities, and increased their awareness of ethical and responsible AI use. Furthermore, the hybrid learning model provided flexible, interactive learning experiences that promoted active participation and strengthened students’ adaptability to the digital transformation in the Society 5.0 era. The program also demonstrated that AI literacy plays a significant role in supporting students’ readiness for technology-driven educational and professional environments. Therefore, hybrid AI literacy training can serve as an effective and relevant model for developing digital competencies in higher education and supporting the transformation of education in the Society 5.0 era.
Co-Authors , Eka Putra AA Sudharmawan, AA Abdul Karim Adityia Rama Sanjaya Adnan Buyung Nst Ahir Yugo Nugroho Harahap Ahmad Akbar Akhmad Fakhruddin Nasution Amalia Syahfitri Amin, Muhammad Arief Wibowo Armasari, Selly Barany Fachri Bhirawa Atha Bassni Erano Chatarina Umbul Wahyuni Cindy Hartika Dedi Purwanto, Dedi Deni Apriadi Efendi, Irman Eka Pandu Cynthia Eka Putra Eka, Muhammad Eko Hariyanto Eko Hariyanto Elisa Erni Marlina Saari Erni Marlina Saari Esa Surya Anggraini Fachri, Barany Fery Anugrah Fitri Wulandari Fitri Wulandari Hadi Nasbey Hafizh Sallam Halin Khoirot Sipahutar Harahap, Charles Bronson HARDIANTO - Hendry Hendry . Hendry Hendry Herdianto Herdianto Heri Kurniawan, Heri Hermansyah Hermansyah Husni Mubarak Ilka Zufria Inneke Nugroho Hasibuan Irwan Irwan Irwan Irwan Irwan Jelita Purwanti Khairunnisa Khairunnisa Latipah Leni Marlina Leni Marlina Lestari, Yuyun Dwi Lili Asisura LINDA WAHYUNI M Arif Panji Wibowo Maria Stefanova Br Manik, Icha Mayasari, Nova Mochammad Imron Awalludin Muhammad Amin Muhammad Aprilsyah Muhammad Eka Muhammad Eka Muhammad Eka Muhammad Eka Muhammad Eka Muhammad Eka Muhammad Hasanuddin Muhammad Hasanuddin, Muhammad Muhammad Iqbal Muhammad Iqbal Muhammad Irfan Sarif Muhammad Israr Fathoni Muhammad Noor Hasan Siregar Muhammad Rindhu Samora Hutagalung Muhammad Syahputra Novelan Muhammad Taufiq Rustam Muhammad Zen Muhammad Zen, Muhammad Munadi Munadi Muslem R, Imam Nadya Faradilla Syafi’i Nasution, Yusuf Ramadhan Nasution, Yusuf Ramadhan Nova Mayasari Nur Laila nuranisah nuranisah Oktavian Putra Kurniawan Pasaribu, Saddam Husen Romadon Patrialman Haryadi Poppy Nabilla Putra, Randi Rian Rachmat Aulia Rahman, Sayuti Raihan Novalda Zhafira Ranti Eka Putri Reza Andika Rian Farta Wijaya Ricky Ramadhan Harahap Rika Rosnelly, Rika Risko Liza Rismayanti Rismayanti Rusli Halil Nasution Rusmin Saragih, Rusmin Saari, Erni Marlina Binti Saidi Ramadan Siregar Sanjaya, Dian Sari, Rita Novi Silvia Kartika Siregar, Habibie Fahlevy Sitha, Nur Syifa'u Siti Khodijah Suherman, Endang Supiyandi Supiyandi Surya Ardi Pradana Syamsiar, Syamsiar Syamsul Arifin Tambunan, M. Johan Pratama Tasya Maulariqa Insani Teddy Prasetyo Tirta, Deazei Ucmariance Wahyu Kurniawan Wahyuni, Linda Wirayuda, Satria Wizra Aulia Yusma, Yanti Yusuf Ramadhan Nasution Zen, Muhammad Ziky, Ziky Zulham Zulham