Article Per Year (5 Year)
p-Index From 2021 - 2026
1.829
P-Index
This Author published in this journals
All Journal Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains Jurnal Linears Biosel: Biologi Science and Education Jurnal BIOEDUIN : Program Studi Pendidikan Biologi Jurnal Ilmiah Ilmu Komputer Fakultas Ilmu Komputer Universitas Al Asyariah Mandar Journal of System and Computer Engineering JURPIKAT (Jurnal Pengabdian Kepada Masyarakat) Jurnal Energi Elektrik Maritime Park: Journal Of Maritime Technology and Socienty AGORA : Jurnal Penelitian dan Karya Ilmiah Arsitektur Usakti Jurnal Ilmiah Mahasiswa Pertanian Gudang Jurnal Multidisiplin Ilmu Indonesian Journal of Science, Technology, and Humanities Journal of Architecture, Landscape & Urban Design
Muhammad Rijal
Unknown Affiliation
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology 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 Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Public Health Social Sciences Other

Published : 42 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 42 Documents
Search

 1   2   3   4   5 
Inovasi Produksi Gula Aren dalam Meningkatkan Kualitas dan Nilai Ekonomi Produk Lokal BUMDESA Mangngallebaji Desa Tassese Raden Wirawan; Muhammad Rijal; Imriani Idrus; Arfadilah Amir; Zulfikar S
JURPIKAT (Jurnal Pengabdian Kepada Masyarakat) Vol. 7 No. 1 (2026)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/jurpikat.v7i1.2857

Abstract

Kegiatan pengabdian kepada masyarakat ini berfokus pada peningkatan kualitas dan nilai ekonomi produk gula aren di Desa Tassese melalui inovasi teknologi produksi dan penguatan manajemen BUMDesa Mangngallebaji. Permasalahan utama mitra adalah proses produksi tradisional yang tidak efisien dan kurang higienis. Tujuan kegiatan adalah mentransfer teknologi tepat guna serta meningkatkan kapasitas manajemen usaha desa. Metode yang digunakan adalah Community-Based Participatory Research (CBPR) dengan lima tahap partisipatif: identifikasi kebutuhan, perencanaan kolaboratif, implementasi teknologi, evaluasi, dan keberlanjutan program. Hasil kegiatan menunjukkan peningkatan keterampilan masyarakat sebesar 90%, efisiensi produksi naik 25%, serta munculnya tiga produk inovatif baru. Dampak nyata terlihat pada meningkatnya kemandirian masyarakat dan peran aktif BUMDesa dalam pengelolaan usaha. Kegiatan ini juga sejalan dengan SDGs 1 dan 9 serta mendukung Asta Cita 3 melalui penguatan kompetensi masyarakat desa berbasis inovasi.
Application of Automatic Detection of Personal Protective Equipment (PPE) for Loading and Unloading Workers at PT. Pelindo TPK Makassar Jumriani; Muhammad Aksar; Ismail; Hamsah; Muhammad Rijal; Noegraha, Andi Dirga
Maritime Park: Journal of Maritime Technology and Society Volume 5, Issue 1, 2026
Publisher : Department of Ocean Engineering, Faculty of Engineering, Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62012/mp.vi.47449

Abstract

The purpose of this study is to apply the use of an automatic PPE (Personal Protective Equipment) detection system prototype in supporting the Health, Safety, Security, and Environment (HSSE) efforts of PT. Pelindo Terminal Peti Kemas Makassar also known as TPK Makassar to improve the effectiveness of supervision and reduce the risk of workplace accidents. Workplace accidents can be caused by various factors, ranging from worker negligence in not using PPE, lack of discipline, and carelessness. Safety and health are top priorities for workers and companies. Field testing results show that the system can consistently distinguish between workers who comply with and those who violate PPE usage rules, and send automatic alerts when violations occur. The YOLOv8-based detection model shows fairly good performance with a precision value of 0.7–0.9, recall of 0.5–0.6, and mAP50 reaching 0.7–0.8, which indicates that the system is capable of recognizing main objects with high accuracy.
Co-Authors Adnan Agnes Yunus Agaperi S Agung Budi Sardjono Ahmad Muliani Aminatuz Zahroh Amirah Najla Ghina Andani Achmad Annisa Cinintya Arfadilah Amir Ary Surya Syahputera Asmadi Asmadi Astri Larasti Asyik Nur Allifah Ayu Riska Putri Bambang Setioko Desy Susanti Diah Ajeng Primasari Fajri Jakfar Fallah Firman Aziz Firzal, Yohannes Fitrah Ramadhani Syam Frendi Dwi Wardana Putra Gladies Imanda Utami Rangkuty, Gladies Imanda Utami Gushendri Gushendri Hamsah Harian Syah Hazrati Sharfina Idrus Sere Imriani Idrus Ismail Jumriani Junia Handayanis Malicha Dini Anjani Mira Dharma Susilawaty Morian Saspriatnadi Muhammad Aksar Muhammad Arief Al Husaini Muhammad Dhias Akhwal Putra Muhd. Arief Al Husaini Noegraha, Andi Dirga NUR ALIM NATSIR Nur Ayu Asrhi Ogie Pratama Pedia Aldy Raden Wirawan Ratna Amanati Rifda Syofiana RR. Ella Evrita Hestiandari Selamat Meliala Suhaedir Bachtiar Surati, Surari Taufiq Taufiq Teguh Asrin Tria Yufani Wahyu Hidayat Widyawati Widyawati Yusrianti Hanike Zulfikar S