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All Journal Journal Industrial Servicess JITMI (Jurnal Ilmiah Teknik dan Manajemen Industri) TEKNOLOGI : Jurnal Ilmiah dan Teknologi Jurnal Optimalisasi Jurnal Riset Jakarta Teknosains : Jurnal Sains,Teknologi dan Informatika Jurnal Lokabmas Kreatif : Loyalitas Kreatifitas Abdi Masyarakat Kreatif DEDIKASI PKM
Agus Nurrokhman
Universitas Pamulang
Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mathematics Mechanical Engineering Social Sciences Transportation

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Journal : Jurnal Optimalisasi

 1 
Pengendalian Risiko Kecelakaan Kerja Menggunakan Metode Job Sefety Analysis Pada Pekerjaan Glass Cleaning Di PT. KSO APS ISS Jawad, Aod Abdul; Nurrokhman, Agus
Jurnal Optimalisasi Vol 10, No 1 (2024): April
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/jopt.v10i01.9209

Abstract

The KSO APS ISS company is one of the cleaning companies in Indonesia which is located in the Tangerang Banten area. In carrying out its work cycle operations, it uses a lot of chemicals, heavy level machines and potentially dangerous B3 materials. During work there are various potential and risk factors that cause work accidents and work-related illnesses. Company performance, especially in terms of work productivity, is often disrupted as a result of ignoring occupational safety and health rules in carrying out work. The aim of this research is to find out what factors cause work accidents and how to prevent or control risks in Glass Cleaning work in order to reduce the occurrence of work accidents. This research uses the Job Safety Analysis method. The Job Safety Analysis method is a way to look at work techniques and find dangers from the design of machines, equipment, materials, climate and work processes needed by workers to do their work. The research design used is qualitative which is used to describe explanations related to hazard identification, risk evaluation and risk control in glass cleaning work. The results of research using the JSA identification method contained no extreme and high risk jobs, 3 medium risk jobs and 5 low risk jobs.
Rekayasa Ulang terhadap Pengendalian Kualitas Gulungan Benang Polyester 20s pada Mesin Winding Menggunakan Metode Statistical Quality Control (SQC) dan Failure Mode and Effect Analysis Taufik, Taufik; Nurrokhman, Agus
Jurnal Optimalisasi Vol 11, No 1 (2025): April
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/jopt.v11i1.11566

Abstract

PT. Primayudha Mandirijaya is a manufacturing company operating in the textile sector. Customer satisfaction is the main goal. Therefore, production quality always comes first. However, there are problems in making this happen, namely that there are often defects in spools of 20s polyester, because these defects greatly exceed the production limit set by the company, namely 5% of total production. The aim of this research is to find out directly the problems that occur in the production process, as well as to find out the resolution of problems that occur on winding machines. To make this happen, the Statistical Quality Control (SQC) method is used. To determine the possibility of failure, the Failure Mode and Effect Analysis (FMEA) method is used. SQC is used to control product quality, reduce or prevent product failures, while FMEA is used to identify potential failures in the production process. The results of research using the Statistical Quality Control method, the defect rate of 44.67% in Stitch can be reduced to 43.97% and the defect rate of 36.07% in Swelled Package can be reduced to 29.36%. In the Failure Mode and Effect Analysis method, the factors causing defects are influenced by a lack of attention to components and maintenance on the machine, so the maintenance team is recommended to carry out regular check-ups on the condition of the machine every day. Before repairs were carried out, total defects from January to September reached 68,231.52 or 5.28% of production output. After improvements, the number of defects decreased in October to 6,831.72 or 4.53%. Thus, this research is able to reduce defects in spools of 20s polyester thread by 0.75%.
Co-Authors Abdul Khanif Adi Candra Agus Mulyono Agus Witono Aod Abdul Jawad Esar Agung Laksono Franka Hendra Sukma Jawad, Aod Abdul Jawad, Aod Abdul Nova Wisnianingsih Nova Wisnianngsih Nur Kholis Nurapipah, Azmi Ruspendi Ruspendi Samuel Pardamean Taufik Taufik Trihandayani, Estiningsih Wuguh Pitono Yusuf Purwanto