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All Journal Jurnal EECCIS ELINVO (Electronics, Informatics, and Vocational Education) Jurnal Teknologi dan Sistem Komputer JOIV : International Journal on Informatics Visualization Faktor Exacta INOVTEK Polbeng - Seri Informatika JITK (Jurnal Ilmu Pengetahuan dan Komputer) Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) KOMPUTIKA - Jurnal Sistem Komputer JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Jurnal Onoma: Pendidikan, Bahasa, dan Sastra Klasikal: Journal of Education, Language Teaching and Science Jurnal Teknik Informatika (JUTIF) Panrannuangku Jurnal Pengabdian Masyarakat Chemistry Education Review Online Learning in Educational Research Seminar Nasional Pengabdian Kepada Masyarakat Teknovokasi : Jurnal Pengabdian Masyarakat Jurnal Pendidikan Terapan Vokatek : Jurnal Pengabdian Masyarakat Journal of Embedded Systems, Security and Intelligent Systems Ininnawa: Jurnal Pengabdian Masyarakat Journal of Security, Computer, Information, Embedded, Network and Intelligence System Jurnal Kemitraan Responsif untuk Aksi Inovatif dan Pengabdian Masyarakat Journal of Deep Learning, Computer Vision and Digital Image Processing Journal of Progressive Information, Security, Computer and Embedded System Jurnal MediaTIK Bridge: Jurnal Publikasi Sistem Informasi dan Telekomunikasi Journal of Computers, Informatics, and Vocational Education Media Elektrik Jurnal Sipakatau Journal of Vocational, Informatics and Computer Education JESI : Journal of Engineering Service and Innovation
Muhammad Fajar B
Universitas Negeri Makassar
Religion Arts Humanities Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering 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 Mathematics Nursing Physics Public Health Social Sciences Veterinary Other

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Pengembangan Alat Pendeteksi Penampung Air Penuh Dengan Menggunakan Sistem IoT Terintegrasi Smartphone Al Imran; Muhammad Fajar B; Suci Rahmania
Journal of Computers, Informatics, and Vocational Education Volume 2 Issue 3, November (2025)
Publisher : Jurusan Teknik Informatika dan Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Penelitian ini dilatarbelakangi oleh permasalahan pemborosan air dan kerusakan pompa akibat tidak adanya sistem pemantauan volume air secara otomatis. Tujuan dari penelitian ini adalah untuk merancang dan mengembangkan alat pendeteksi penampung air penuh berbasis Internet of Things (IoT) yang terintegrasi dengan smartphone guna memudahkan pengguna dalam memantau kondisi air secara real-time. Sistem ini dirancang menggunakan mikrokontroler ESP32, sensor ultrasonik JSN-SR04T, sensor water flow, LCD, relay, dan aplikasi Blynk sebagai media monitoring dan control. Penelitian ini merupakan jenis Research and Development (R&D) dengan model pengembangan prototype yang terdiri dari tujuh tahapan, yaitu pengumpulan kebutuhan, pembangunan prototype, evaluasi prototype, pengkodean sistem, pengujian sistem, evaluasi sistem, dan implementasi. Pengujian sistem dilakukan berdasarkan standar ISO/IEC 25010, mencakup tiga aspek yaitu functional suitability, usability, dan portability. Hasil pengujian menunjukkan bahwa sistem memiliki tingkat keberhasilan 100% dalam aspek functional suitability. Pada aspek usability, dari 12 responden diperoleh rata-rata skor 87,76% yang termasuk dalam kategori sangat baik. Sistem juga terbukti berjalan stabil pada berbagai platform, sehingga memenuhi aspek portability. Dengan demikian, sistem ini dinyatakan layak untuk digunakan dalam skala rumah tangga sebagai solusi otomatisasi pemantauan tandon air, serta memiliki potensi untuk dikembangkan lebih lanjut.
Comparative Analysis of the Performance of Hadith Text Classification Methods: A Case Study with ANN and SVM Dewi Fatmarani Surianto; Muhammad Fajar B; Musda Rida Mulia; Indanasufya Indanasufya
Journal of Embedded Systems, Security and Intelligent Systems Vol 5, No 1 (2024): March 2024
Publisher : Program Studi Teknik Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/jessi.v5i1.2942

Abstract

Hadith is the second holy book for Muslims after the Quran, containing instructions from the Prophet Muhammad SAW, and narrated by Ulama / Mufti. As one of the main sources of Islamic teachings, hadith is used to explain and illustrate the teachings of the Quran. This study aims to compare the performance of hadith text classification using Artificial Neural Network (ANN) and Support Vector Machine (SVM) with Hadith Bukhari dataset. The stages include preprocessing, feature extraction with TF-IDF, classification, and evaluation. The evaluation results show different performance between ANN and SVM in two scenarios: with and without stemming. The use of stemming has a significant impact on model performance, reducing word variation and can result in a decrease in accuracy. The SVM model consistently showed higher accuracy than ANN in both scenarios, with the highest accuracy reaching 85% for classification without stemming. This study provides insight into the application of ANN and SVM in hadith text classification, emphasizing the importance of selecting a method that suits the characteristics of the data.
A Hybrid Framework for Plagiarism Detection: Integrating Token-Based Similarity with Density-Based Clustering Muhammad Fajar B; Fitriyanty Dwi Lestary; Dewi Fatmarani Surianto
Journal of Embedded Systems, Security and Intelligent Systems Vol 6, No 1 (2025): March 2025
Publisher : Program Studi Teknik Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/jessi.v6i1.7664

Abstract

Plagiarism detection in academic assignments remains a critical challenge in maintaining academic integrity in higher education. This study proposes an automated method to detect content similarity between student assignment documents by combining Jaccard Similarity and DBSCAN (Density-Based Spatial Clustering of Applications with Noise) algorithms. The process begins with the collection of student assignment files in digital format, followed by text extraction to form a set-based representation of each document. Jaccard Similarity is then used to compute the degree of similarity between every document pair, and the resulting similarity matrix is transformed into a distance matrix as input for DBSCAN. Experiments conducted on 23 documents yielded 253 unique document pairs. The results demonstrate that the method successfully identified pairs with high similarity scores—such as 0.9114 and 0.7226—which were visually confirmed through a heatmap and effectively grouped into clusters by DBSCAN. Parameter settings of eps = 0.3 and min_samples = 1 proved optimal for distinguishing original documents from those exhibiting substantial content overlap. This approach is not only accurate and efficient, but also eliminates the need for predefined cluster numbers, making it suitable for deployment in automated plagiarism detection systems for academic texts.
EduTech Acceleration: Strengthening Teacher Competencies through AI-Based Learning Media Training Dewi Fatmarani Surianto; Muhammad Fajar B; Ayu Hasnining; Andi Akram Nur Risal; Haekal Febriansyah Ramadhan; Dewi Fatmawati Surianto
Jurnal Sipakatau: Inovasi Pengabdian Masyarakat Vol. 3 No. 1 (2025): December
Publisher : PT. Global Research Collaboration

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66314/sipakatau.v3i1.265

Abstract

The rapid adoption of Generative Artificial Intelligence (GenAI) in education requires teachers to strengthen their competencies in producing accurate, ethical, and safe learning media. This community engagement program was conducted in a secondary education institution to enhance teachers’ AI literacy and ability to apply structured prompting using the CRISP-EDU framework. The training emphasized fact-checking, credible source attribution, bias mitigation, and student data protection principles. Evaluation results demonstrate improvements across all competency dimensions: understanding of CRISP-EDU fundamentals (+42%), AI licensing and ethics (+32%), classroom AI-related standard operating procedures and risk awareness (+26%), generative AI utilization (+15%), and practical application of CRISP-EDU (+23.66%). These findings indicate a shift in teachers’ roles from passive users to critical and ethical content curators capable of producing safe and contextually appropriate AI-based learning materials.
Enhancing Public Speaking, Data Analysis, and Digital Financial Management Skills in the Society 5.0 Era Muhammad Fajar B; Fitriyanty Dwi Lestary; Sukma Riski Ananda; Muwaffiq Nurimansyah Mapparenta; Dewi Fatmawati Surianto
Jurnal Sipakatau: Inovasi Pengabdian Masyarakat Vol. 3 No. 1 (2025): December
Publisher : PT. Global Research Collaboration

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66314/sipakatau.v3i1.271

Abstract

This community service program aims to strengthen the readiness of high school students in facing higher education challenges through capacity building on public speaking, data analysis, and digital financial management. The transition toward Society 5.0 demands students to possess strong communication skills, data literacy, and the ability to manage digital-based finance responsibly. The training was conducted through interactive lectures, hands-on practices, simulations, and mentoring sessions involving high school students. Results show an increase in students’ confidence in public speaking, improvement in basic data-analysis skills using digital tools, and better understanding of digital financial planning. This training has succeeded in providing practical knowledge and strengthening students’ readiness to continue to the university level. Future programs are expected to expand similar training to broader schools and integrate more advanced modules.
Enhancing Computational Thinking Skills through Digital Literacy and Blended Learning: The Mediating Role of Learning Motivation Putri Nirmala; Iwan Suhardi; Andi Baso Kaswar; Dewi Fatmarani Surianto; Muhammad Fajar B; Soeharto Soeharto; Zsolt Lavicza
Online Learning In Educational Research (OLER) Vol. 5 No. 1 (2025): Online Learning in Educational Research
Publisher : CV FOUNDAE

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58524/oler.v5i1.504

Abstract

In the digital era, computational thinking becomes an essential skill to overcome technological challenges in 21st centuryeducation. This study investigates the impact of digital literacy and blended learning on computational thinking skills, focusing on the mediating role of learning motivation. A total of 413 university students from blended learning environments participated, using a structured questionnaire with validated scales for digital literacy, computational thinking, and learning motivation. Data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) to test direct and mediation relationships. The results showed that digital literacy and blended learning significantly influenced computational thinking, with learning motivation acting as a mediator that strengthened this relationship. Digital literacy showed a greater influence than blended learning. These findings highlight the importance of integrating digital literacy and motivational strategies into blended learning to optimize the development of computational thinking skills, as well as providing insights for learning design that is relevant to the needs of the 21st century.
Enhancing Digital Learning Outcomes: The Combined Impact of Competence and Psychological Traits Elma Nurjannah; Riana T Mangesa; M. Miftach Fakhri; Muhammad Fajar B; Sanatang Sanatang; Fitria Arifiyanti
Online Learning In Educational Research (OLER) Vol. 5 No. 2 (2025): Online Learning in Educational Research
Publisher : CV FOUNDAE

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58524/oler.v5i2.513

Abstract

The rapid shift towards digitalization, accelerated by the COVID-19 pandemic, requires a reassessment of problem-solving strategies in the education system. This study aims to investigate the interactions between Digital Competencies, Psychological Traits, Digital Readiness, and Awareness, and their combined influence on Learning Outcomes. The study utilized a quantitative, cross-sectional design, focusing on university students engaged in digital learning environments in higher education. Data were collected from 467 students through a validated online questionnaire and analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results revealed that Digital Competence and Psychological Traits significantly and positively influence Learning Outcomes, both directly and indirectly through the mediating role of Digital Readiness and Awareness. The findings emphasize the need for a holistic approach in education, which integrates technical skills and psychological readiness to enhance academic success in an increasingly digital learning environment. This study also highlights the need for further research with a longitudinal design to explore the long-term effects of digital competency and awareness interventions. Recommendations for future research include examining additional factors such as social support and technology access to further strengthen digital readiness and learning outcomes
Ethical Awareness and Perceived Risk in Generative AI Adoption: An Extended UTAUT Study among University Students Dian Puspita Sari Andri; Muhammad Fajar B
Journal of Vocational, Informatics and Computer Education Vol 4, No 2 (2026): June 2026
Publisher : Academic Bright Collaboration

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66053/voice.v4i1.358

Abstract

Purpose – This study aims to extend the UTAUT by integrating ethical awareness and perceived risk to address the limitations of approaches that have predominantly emphasized usefulness and ease of use in explaining generative AI usage behavior. The study shows that ethical considerations not only complement existing factors but may also function as a direct determinant in shaping technology usage behavior. Methods – This study employed a quantitative survey with a cross-sectional design involving 327 students at Universitas Negeri Makassar. Data were collected through an online questionnaire and analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). Findings – The structural model results indicate that ethical awareness has a significant effect on usage behavior (β = 0.377; p < 0.001), suggesting that students with higher ethical awareness tend to use generative AI more responsibly. Social influence significantly affects behavioral intention (β = 0.618; p < 0.001) and use behavior (β = 0.194; p = 0.012). Behavioral intention also influences use behavior (β = 0.168; p = 0.002), while facilitating conditions have a positive effect on usage behavior (β = 0.193; p = 0.012). In contrast, perceived risk does not show a significant effect (β = 0.057; p = 0.256). Research implications – The cross-sectional design and the use of a single institutional sample limit causal inference and the generalizability of the findings. Originality – This study extends UTAUT by integrating ethical awareness and perceived risk. The key novelty lies in identifying ethical awareness as a direct determinant of use behaviour, highlighting the central role of ethical factors in generative AI adoption, while perceived risk shows limited influence.
Pelatihan Tindakan Kelas (PTK) Bagi Guru-Guru SDN 1 Centre Patalassang Di Kabupaten Takalar M. Miftach Fakhri; Muhammad Fajar B; Akmal Hidayat; Dewi Fatmarani Surianto; Andika Isma; Rosidah; Wirawan Setialaksana
Vokatek: Jurnal Pengabdian Masyarakat Volume 1: Issue 1 (Februari 2023)
Publisher : Sakura Digital Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61255/vokatekjpm.v1i1.27

Abstract

Salah satu usaha agar mutu pendidikan di Indonesia dapat ditingkatkan adalah dengan memperbaiki proses belajar di dalam maupun di luar kelas. Proses belajar mengajar ini dapat diperbaiki salah satunya adalah dengan cara mengadakan Penelitian Tindakan Kelas (PTK). PTK merupakan hal yang sangat penting sehingga wajib ada pada semua sekolah-sekolah di Indonesia, salah satunya di SD 1 Centre Patalassang, Kabupaten Takalar. Metode Pelaksanaan Pengabdian yang dilakukan adalah ceramah, diskusi, serta evaluasi. Adapun hasil evaluasi dari pre-test dan post-test yang diperoleh adalah rata-rata skor jawaban peserta pelatihan sebesar 31,75 persen atau kategori rendah, sedangkan rata-rata skor jawaban post-test peserta pelatihan sebesar 87,41 persen kategori sangat tinggi. Ini berarti program ini dianggap berhasil karena skor jawaban post-test peserta pelatihan lebih tinggi dibandingkan dengan skor jawaban pre-test.
PKM Pelatihan Penelitian Tindakan Kelas Bagi Guru di Kabupaten Sidrap Sudarmanto Jayanegara; Asri Ismail; Asis Nojeng; Muhammad Fajar B; Dary Mochamad Rifqie; Muhammad Akil; Fhatiah Adiba
Vokatek: Jurnal Pengabdian Masyarakat Volume 1: Issue 2 (Juni 2023)
Publisher : Sakura Digital Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61255/vokatekjpm.v1i2.87

Abstract

Kualitas suatu pendidikan dapat ditingkatkan melalui berbagai langkah salah satunya adalah lewat penelitian tindakan kelas (PTK). Lewat PTK ini mutu pendidikan di Indonesia dapat ditingkatkan dengan memperbaiki proses belajar di dalam maupun di luar kelas. PTK merupakan hal yang penting sehingga wajib dilaksanakan pada semua sekolah-sekolah di Indonesia, salah satunya sekolah yang ada di Kabupaten Sidrap. Metode Pelaksanaan Pengabdian yang dilakukan adalah ceramah dan diskusi. Peserta kegiatan merupakan guru-guru sekolah, baik guru sekolah dasar maupun sekolah menengah ke atas di Kabupaten Sidrap. Kegiatan ini dilaksanakan selama satu hari pada bulan Januari 2023 dan dilaksanakan di Aula Kementerian Agama Kabupaten Sidrap.
Co-Authors A.Haerul Fajar.S AA Sudharmawan, AA Abdul Muis Mappalotteng Abdul Wahid Abdul Wahid Abidin, Muh. Rais Adiba, Fhatiah Afdhaliyah, Mukhlishah Aglaia, Alifya Nuraisyar Ahmad Fadhli Rahman Akil, Muhammad Akmal Hidayat Akmal Hidayat Aksa, Muhammad Al Imran Alfiani Alfiani Alfiani Ananda, Sukma Riski Ananta Dwi Prayoga Alwy Andi Ahmad Taufiq Andi Akram Nur Risal Andi Akram Nur Risal Andi Baso Kaswar Andi Baso Kaswar Andi Nurul Izzah Andi Tenriola Andika Isma Anwar Wahid Arifky, Reza Asis Nojeng Asri Ismail Awaluddin, Muhammad Ghazali Ayu Hasnining Ayu Hasnining Ayu Safitri Azis Azis Azzahra Eka Bahar, Muhammad Mahdinul Baso Riadi Husda Bukhari Naufal Nur Ag Dary Mochamad Rifqie Della Fadhilatunisa Destyfaini Paisal Dewi Fatmarani Surianto Dewi Fatmarani Surianto Dian Puspita Sari Andri Dirawan, Gufran Darma Edy Sabara Edy, Marwan Ramdhany Elma Nurjannah Fadhilah Ratu Pratiwi Fadhlirrahman Baso Farid Fajrin Fathahillah Fathahillah Fhatiah Adiba Fitria Arifiyanti Fitriyanty Dwi Lestary Fitriyanty Dwi Lestary Fitriyanty Dwi Lestary Fitryanty Dwi Lestari Gebby Indriani Haekal Febriansyah Ramadhan Hamda, Hamda Hanum Zalsabilah Idham Hardy M, Galang Harisma Dita Ansyar Harisma Dita Ansyar Dita Ansyar Hastuti Hidayat, Almisri I Nyoman Prayana Trisna Indanasufya Indanasufya Irwansyah Suwahyu Israwati Hamsar Iwan Suhardi Jamaluddin Jamaluddin Jamaluddin Jariah S.Intam, Rezki Nurul Jumadi Mabe Parenreng Jumadin Khaeruddin, Faizah Kurnia Prima Putra Lestari, Nunik M. Miftach Fakhri M. Syahid Nur Wahid Makmur, Haerunnisya Mappangara, Surianto Mapparenta, Muwaffiq Nurimansyah Marwan Ramdhani Edy Marwan Ramdhany Edy Muh Fuad Zahran Firman Muh Irfan Nur Muh. Bhilal Halim Muh. Fajrin Bakri Bakri Muh. Irfan Nur Muhammad Agung Muhammad Agung Muhammad agung Muhammad Akbar Amir Muhammad Ansarullah S. Tabbu Muhammad Asriadi Muhammad Fardhan Muhammad Farham Saputra Muhammad hasim Muhammad Nur Yusri Muhammad Yahya Musda Rida Mulia Musgamy, Muh Faqih S Mustamin Muwaffiq Nurimansyah Muwaffiq Nurimansyah Mapparenta Muwaffiq Nurimansyah Mapparenta Nasrullah, Asmaul Husnah NFH, Alifya Novitasari, Ervi Nur Azizah Ayu Safanah Nur Iksan Nurul Amanda Pratiwi Hasbullah Nurul Fadhilah Nurul Mukhlisah Abdal Perdana, Am Akbar Mabrur Prima Putra, Kurnia Putri Nanda Sari Putri Nirmala Rahman, Khaidir Ramadhan, Haekal Febriansyah Ramly Ramly Riana T Mangesa Ridwan Daud Mahande Risaldi, Muhammad Rosidah Rosidah Rosidah Rosidah Rosidah Sanatang Sanatang Sanatang Sanatang Sanatang Sarah Lintang Sariwening Sasmita Sasmita Satnur, Muh. Alham Setialaksana, Wirawan - Shabrina Syntha Dewi Soeharto Soeharto Suci Rahmania Sudarmanto Jayanegara Sukma Riski Ananda Sukma Riski Ananda Surianto, Dewi Fatmawati Syahrul Syahrul Syahrul Syam, Abd. Azis Trisakti Akbar Udin Sidik Sidin Wahid, M Syahid Nur Wahid, M. Syahid Nur Wahyono Wahyono Wahyu Hidayat M WAHYUDI Wahyudi Wahyudi Wahyuni, Maya Sari Wardani, Ayu Tri Wijayanto, Danur Wilda Inaya Syafdwi Wulandari Wulandari Yususf, Andi Zulfikar Zsolt Lavicza