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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 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
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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 Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Mathematics Mechanical Engineering Public Health Social Sciences Other

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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.
Analisis Kemampuan Akumulasi Polyfosfat pada Tiap Fase Pertumbuhan Isolat Bakteri Toleran Uranium Heni Mutmainnah; Muhammad Rijal
Biosel Biology Science and Education Vol. 9 No. 1 (2020): BIOSEL (Biology Science and Education: Jurnal Penelitian Sains dan Pendidikan)
Publisher : INSTITUT AGAMA ISLAM NEGERI AMBON

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (376.408 KB) | DOI: 10.33477/bs.v9i1.1320

Abstract

Polyphosphate is a straight chain biopolymer consisting of tens to hundreds of phosphate residues that are linked by high energy phosphoanhydride bonds, polyphosphate plays an important role in the bioremediation process of uranium waste, especially in the process of uranium metal precipitation in bacterial cells. Some bacteria are known to have the potential to interact with uranium through redox transformation and bioprecipitation by releasing inorganic phosphate to bind uranium in the environment. Inorganic phosphate results from degradation of polyphosphates that accumulate in cells. This study aims to determine the ability of uranium-tolerant bacteria to accumulate polyphosphates during their growth phase. Measurements were made in 5 growth phases, namely the lag phase, the logarithmic phase, the beginning of the stationary phase, the stationary phase, and the stationary end. Quantitative analysis of polyphosphate accumulations was carried out using the Olsen & Dean method. The test results are known that the uranium-tolerant bacterial isolat is able to accumulate the most optimal polyphosphate in the stationary phase, especially at the 48th hour and the lowest polyP accumulation is found in the initial stationary phase at the 24th hour.
Co-Authors Adnan Agnes Yunus Agaperi S Agung Budi Sardjono Ahmad Muliani Aminatuz Zahroh Amirah Najla Ghina Andani Achmad Annisa Cinintya Ary Surya Syahputera Asmadi Asmadi Astri Larasti Asyik Nur Allifah Ayu Riska Putri Bambang Setioko Diah Ajeng Primasari Fajri Jakfar Fallah Firman Aziz Firzal, Yohannes Fitrah Ramadhani Syam Frendi Dwi Wardana Putra G. Gunawan Gladies Imanda Utami Rangkuty, Gladies Imanda Utami Gushendri Gushendri Hamsah Harian Syah Hazrati Sharfina Heni Mutmainnah Idrus Sere 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 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