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All Journal Media Teknik Sipil Jurnal Reviu Akuntansi dan Keuangan Jurnal Ilmu Komputer dan Informasi Jurnal Gaussian Jurnal Ekonomika Telematika : Jurnal Informatika dan Teknologi Informasi Al-Ahwal: Jurnal Hukum Keluarga Islam CIRCUIT: Jurnal Ilmiah Pendidikan Teknik Elektro Syariah: Jurnal Hukum dan Pemikiran Islamika : Jurnal Ilmu-Ilmu Keislaman Jurnal Farmasi Higea Mudir : Jurnal Manajemen Pendidikan Jurnal Komunikasi Pendidikan Masyarakat Madani: Jurnal Kajian Islam dan Pengembangan Masyarakat Jurnal Informatika dan Rekayasa Elektronik Jurnal ABDINUS : Jurnal Pengabdian Nusantara JATI (Jurnal Mahasiswa Teknik Informatika) Indonesian Journal of Electrical Engineering and Computer Science Journal of Intelligent Decision Support System (IDSS) BERNAS: Jurnal Pengabdian Kepada Masyarakat Jurnal At-Taghyir : Jurnal Dakwah dan Pengembangan Masyarakat Desa Jurnal Pengabdian kepada Masyarakat Nusantara Journal of Applied Data Sciences Jurnal Teknologi Sistem Informasi dan Sistem Komputer TGD Nusantara Hasana Journal Indo-MathEdu Intellectuals Journal TATHWIR: Jurnal Pengembangan Masyarakat Islam COMSERVA: Jurnal Penelitian dan Pengabdian Masyarakat Jurnal Penyuuhan dan Pemberdayaan Masyarakat (JPPM) Journal of Islamic and Law Studies (JILS) Al Irsyad: Jurnal Studi Islam LEBAH Jurnal Teknik Sipil Macca eProceedings of Engineering ATHENA: Journal of Social Culture and Society Spiritualita : Journal of Ethics and Spirituality Bulletin of Early Childhood JRIIN :Jurnal Riset Informatika dan Inovasi Journal Emerging Technologies in Education Sociality: Journal of Public Health Service Journal of The Civil Engineering Student Journal of Technology and Computer (JOTECHCOM) Edu Aksara : Jurnal Pendidikan dan Kebudayaan JIS: Journal ISLAMIC STUDIES Sultan Adam : Jurnal Hukum dan Sosial JIEP: Jurnal Ilmu Ekonomi dan Pembangunan Jurnal Teknologi Rekayasa Informasi dan Komputer JILMATEKS Jurnal Ilmiah Mahasiswa Teknik Sipil Indonesian Journal of Islamic Jurisprudence, Economic and Legal Theory
MUHAMMAD HARIS
University of Lampung
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Transportation Veterinary Other

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Enhancing The Accuracy of Small Object Detection In Traffic Safety Attributes Using Yolov11 And Esrgan: Peningkatan Akurasi Deteksi Objek Kecil pada Atribut Keselamatan Berkendara Menggunakan Yolov11 dan ESRGAN Pinem, Tuahta Hasiholan; Haris, Muhammad
Telematika Vol 22 No 3 (2025): Edisi Oktober 2025
Publisher : Jurusan Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/telematika.v22i3.14800

Abstract

This study aims to detect motorcycle rider attributes, specifically helmets and side mirrors, using a deep learning approach combining YOLOv11 and ESRGAN models. The proposed model addresses challenges in attribute detection under real-world conditions, such as low-resolution images, varying angles, and uneven lighting. The dataset comprises images of motorcycle riders captured by surveillance cameras (CCTV), which underwent preprocessing, augmentation, and resolution enhancement using ESRGAN to improve input quality. The results demonstrate that ESRGAN significantly enhances the performance of YOLOv11, particularly for high-resolution images. The YOLOv11 + ESRGAN model with 300 epochs achieved the best performance, with precision of 75.8%, recall of 69.1%, and an F1-score of 0.7 during testing. During validation, the model reached a precision of 0.826 and recall of 0.797, indicating good generalization capabilities. Compared to the YOLOv11 model without ESRGAN, this combination significantly improved accuracy, especially in detecting small attributes such as side mirrors. This study suggests further exploration with larger and more diverse datasets and fine-tuning to enhance detection accuracy. Additionally, integrating the model into real-world systems based on edge computing can accelerate real-time inference and reduce reliance on cloud-based servers. With broader implementation, this model has the potential to improve the efficiency and safety of AI-powered traffic monitoring systems.
Musyawarah Sebagai Upaya Penguatan Modal Sosial Laksana, Bayu Indra; Haris, Muhammad; Saifunnajar, Saifunnajar; Yefni, Yefni
Jurnal at-Taghyir: Jurnal Dakwah dan Pengembangan Masyarakat Desa Vol 8, No 1 (2025): Jurnal at-Taghyir: Jurnal Dakwah dan Pengembangan Masyarakat Desa
Publisher : Fakultas Dakwah dan Ilmu Komunikasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24952/taghyir.v8i1.17191

Abstract

Digitalization can threaten social capital because technology reduces direct interaction and opportunities for deliberation, leading to increased individualism. This study aims to explore the role of deliberation in strengthening social capital in Karya Tani Village, Kempas District, Indragiri Hilir Regency. This research employs a descriptive qualitative approach, utilizing both primary and secondary data sources. Primary data is obtained through observations and structured in-depth interviews with informants, while secondary data is gathered from relevant literature and documents. The findings reveal that deliberation in Karya Tani Village functions not only as a decision-making tool but also as a mechanism for building social networks, trust, as well as shared norms and values within the community. This process creates an inclusive social climate where every voice is valued, reducing the potential for conflict and strengthening community relationships.Keywords: Deliberation, Social Capital, Strengthening
Penguatan Peran Rumah Literasi Ranggi dalam Mendorong Literasi Anak melalui Sistem Inventarisasi dan Kemitraan Eksternal di Desa Sampali Prawira Tanjung, Mahardika Abdi; Haris, Muhammad; Basit, Lutfi
Lebah Vol. 19 No. 2 (2025): November: Pengabdian
Publisher : IHSA Institute

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

Abstract

Rumah Literasi Ranggi merupakan komunitas berbasis masyarakat di Kabupaten Deli Serdang yang berfokus pada peningkatan budaya literasi dan kreativitas anak-anak serta remaja. Namun, pengelolaan koleksi bacaan masih menghadapi kendala akibat ketiadaan sistem inventarisasi yang terstruktur dan keterbatasan kerja sama eksternal, terutama dalam hal sponsorship dan pelatihan literasi. Program pengabdian ini bertujuan memberikan solusi melalui pengembangan website terintegrasi yang berfungsi sebagai katalog digital buku, wadah donasi, serta portal kemitraan dan pelatihan. Metode pelaksanaan meliputi persiapan, sosialisasi, pelatihan pengelolaan digital, implementasi teknologi, pendampingan, evaluasi, hingga strategi keberlanjutan. Partisipasi aktif mitra didorong pada setiap tahap, mulai dari perancangan fitur hingga pengelolaan konten. Hasil yang diharapkan adalah peningkatan jumlah donasi buku, terbangunnya sistem pencatatan koleksi yang transparan, serta perluasan jejaring sponsorship dan relawan. Selain memperkuat manajemen internal, inovasi ini diharapkan memberikan dampak sosial-ekonomi yang signifikan, antara lain peningkatan akses bacaan, perluasan pelatihan literasi, serta penguatan kapasitas masyarakat lokal dalam memanfaatkan teknologi untuk mendukung pendidikan dan pemberdayaan
EagleEyes: An Artificial Intelligence-Based Approach for Automatic Traffic Violation Detection Using Deep Learning Gata, Windu; Haris, Muhammad; Prasetiyowati, Maria Irmina; Harianto, Sony
Journal of Applied Data Sciences Vol 7, No 1: January 2026
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v7i1.1097

Abstract

Rapid urbanization and the advancement of smart city programs in Indonesia necessitate intelligent, automated solutions for traffic monitoring and law enforcement. This study introduces EagleEyes, an artificial intelligence–based framework designed for automatic detection of multiple traffic violations by integrating the YOLOv8 deep learning architecture with Optical Character Recognition (OCR) for vehicle license plate identification. YOLOv8 was selected due to its anchor-free design, decoupled detection head, and enhanced feature fusion modules, which collectively improve detection accuracy, convergence speed, and small-object recognition compared to YOLOv5 and YOLOv7, while maintaining lightweight computational efficiency suitable for real-time applications. The proposed system was trained on a multi-class dataset representing common Indonesian violations, including seat belt non-compliance, helmet absence, motorcycle overcapacity, and unreadable license plates. Experimental results demonstrate robust performance, achieving a precision of 0.91, recall of 0.92, and mean average precision (mAP@0.5) of 0.96 at the optimal epoch, with an average inference speed of 25 frames per second and total training time of approximately 15 minutes on an NVIDIA RTX GPU. The OCR module attained an average recognition accuracy of 98.7%, although its performance decreased for vehicles captured beyond a five-meter distance due to reduced clarity and illumination inconsistencies. Implemented as a web-based application using the Flask framework, EagleEyes enables flexible browser-based visualization, and can be seamlessly integrated into Indonesia’s Electronic Traffic Law Enforcement (ETLE) infrastructure. Overall, the system demonstrates high potential to enhance smart city traffic management through scalable, AI-driven, and ethically responsible automation.
Dzikir Sebagai Intervensi Mind Healing Technique Terhadap Konsentrasi Belajar Di Kalangan Anak Asuh Panti Asuhan Al-Falah Yasmuba Bandar Lampung Berta, Afifah; Anshori, Afif; Mu’asyara, Nesia; Haris, Muhammad
Spiritualita Vol. 9 No. 2 (2025)
Publisher : Prodi Tasawuf dan Psikoterapi Fakultas Usluhuddin dan Dakwah, Universitas Islam Negeri (UIN) Syekh Wasil Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30762/spiritualita.v9i2.2959

Abstract

This research aims to evaluate the effectiveness of dzikr (Islamic devotional acts) using the Mind Healing Technique (MHT) approach in improving the learning concentration of female foster children at Al-Falah Yasmuba Orphanage. The research method used a quasi-experimental design with a pretest-posttest single group approach. Participants consisted of 34 female foster children aged 12-19 years who were given MHT dhikr intervention for 4 weeks, 3 times a week, with a duration of 20-30 minutes per session. Data was collected through observation, questionnaires, and interviews, then analyzed using parametric statistical tests (paired t-test) with SPSS 30. The results showed a significant increase in the average learning concentration score from 104.65 (pretest) to 116.15 (posttest), with an increase of 11.50 points (p < 0.001). The large effect of the intervention (Cohen's d = 0.943) indicates that MHT dhikr is effective in improving learning concentration. Therefore, it can be concluded that dhikr with the MHT approach can be an effective intervention to improve learning concentration, especially in orphanage environments. It is recommended that this technique be integrated into learning programs and further research be conducted with more complex designs to test the generalization of findings.
Co-Authors Abdul Hoyyi Abrar, Muhammad Fadhel Ach. Baidowi Ade Winarni Adi Nugroho, Ariyanto Adilah, Ananda Refiona Agus Subekti Agus Subekti Ahmad, Israr Akasy, Andi Haris Munandar Akmaluddin Akmaluddin Akmaluddin Akmaluddin Al-Qadri, M. Yoesril Ali, Zulfiqar Alimuddin, Dwisya Alika Nur Ramadhani AM., Nur Fadilah Amelia Rahmaniah Aminuddin, Muliadi Andi Alifuddin Andi Zulherry Andra, Muhammad Bagus Anshori, Afif Anshori, Ahmad Maulana Aprilia , Siti Norriezka ARDIANSYAH ARDIANSYAH Aries Saifudin Aries Suharso Arif Ismunandar Arifin, Ta’jul Arifin, Winarno Arnur, Irsyan Asyrafurrahim, Muhammad Athiyyah, Vina Sa'adatul Atina Shofawati, Atina Atthariq, Atthariq Badaron, St. Fauziah Batari, Ummi Humairah Bayu Indra Laksana Berta, Afifah Bizli, Fikramul Budi Rahmat Hakim Budyarsih, Zaldza Prucha Chaerani, Andi Ummul Dwi Nurul Huda E Haodudin Nurkifli Elfrida Ratnawati Elpatino, Thomas Eni Heni Hermaliani, Eni Heni Fatahillah, Andi Indra fatimah Fatimah Fatmawati, Amelia Febriawan Fiandi Firdaus, Alif Firdaus, Muh Adhi Rajha Ahmad Gata, Windu Gecong, Alimin Ghaffar, Abid H, Ikhwanul Muslimin Harianto, Sony Haris, A. Muh. Fadel Hasanah, Wilda Rahmah Hasbi Yasin Hendrawan Hendrawan HENDRAYANI, MORALELY Hermawan, Panji Triyanu Hidayatul Mufidah Hudayanti, Anural Husna, Hidayatul Jalaluddin Jalaluddin Jarwanto, Dwi Khansa A, Dea Rosatikah Latif, Andi Amin Limbong, Isman Efendi Lukito Prasetyo Lutfi Basit M. Rafi Mahardika Abdi Prawira Tanjung Mahlil, Mahlil Mahmud, Hafini bin Mahmud, Hamdan Malik Ibrahim Mallombasi, Ali Mandasari, Yunita Dwi Manickam, Geethalakshmi Mansyuroh, Firqah Annajiyah Manurung, Mangaraja Marasabessy, Sapia Maria Irmina Prasetiyowati Mas’od, M. Mochtar Mayasari Mega Suteki Meilina, Duwi Mhd Gilang Suryanata Misfadhila, Sestry Mochammad Rizki Romdoni Mokhtar, Wan Khairul Aiman Wan Mokodenseho, Sabil Muh. Ikbar, La Ode. Muhammad Fikri Muhammad Ichsan Mulia Putra Mursyidah Mursyidah Mursyidin Musa, Ratna Musallamah, Andi Muttaqin Muttaqin Mu’asyara, Nesia Norjannah, Norjannah Novarinoaly, Favian Novrida Nursalim Imron, Muhammad Pinem, Tuahta Hasiholan Prayoga, Muhammad Imam Puji Hadiyati Putri, Amaliyah Rezkiyanti R, Rinovian Rabbani, Hilmi Rabiatul Adawiyah Rahamaniah, Siti Rahamaniah1* Rajhendra, Reza Rambe, M. Islami Rani Bastari Alkam, Rani Bastari Rauf, Nur Inayah Ridani, Muhammad Noor RKT, Rofidah Romdoni, Moch. Rizki Rustan Efendi Safitri, Liza Sahitua, Aldi Saifunnajar, Saifunnajar SAR, Mas'ud SAR, Mas’ud Sari Wulandari Saswini, Andi Ade Ula Semariyati, Desy Sri Senna C., A. M. Ayrton Setiawan, Prayudhi Trisda Shafiq, Muhammad Sinaga, Yeni Yasyah Sinyo, Nurjaenatul Janna Siska Rahmadani Siti Mayang Sari Sudwikatmono, Muh. Sulastri, Nur Arsy Risna Suratno, Eddy Suryawan, Ari Syahrani Syaidatul Soffa, Anggita Syamsuddin, Aulya Purwanengsy Syarif Hidayatullah, Muhammad Syuhada, Rahmad Tantu, Andi Fitriani Teguh Ansori Uswatun Hasanah Vitri, Vivi Sepda Waaritshasan S., Abdul Wahyuni, Derlin Sri Watono Wellang, Musyafir Yati Rohayati, Yati Yefni Yefni, Yefni Yetri, Milfa Yunita Sopiana Yunus , Arhamudin Hi. Yusuf, Aldi Zada, Mohd Ziaolhaq Qazi Zaifuddin Zulfikar , Ahmad Zulmhi, Andi Muh Nizar