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All Journal AKSELERASI: Jurnal Ilmiah Nasional Influence: International Journal of Science Review
Akhsani Nur Amalia
Sekolah Tinggi Teknologi Wastukancana, Purwakarta, Indonesia
Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Public Health Social Sciences

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ANALISIS RISIKO KECELAKAAN KERJA DAN UPAYA PENGENDALIANNYA MENGGUNAKAN METODE HAZARD IDENTIFICATION, RISK ASSESSMENT, AND DETERMINING CONTROL (HIRADC) PADA PROSES AUTOBENDER DI PT. XYZ Tarman; Akhsani Nur Amalia; Multi Nadeak; Edwar Agus Junaedi
AKSELERASI: Jurnal Ilmiah Nasional Vol 8 No 3 (2026): AKSELERASI: JURNAL ILMIAH NASIONAL
Publisher : GoAcademica Research dan Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54783/jin.v8i3.1871

Abstract

Keselamatan dan Kesehatan Kerja (K3) merupakan aspek penting dalam industri manufaktur untuk meminimalkan risiko kecelakaan kerja serta meningkatkan produktivitas perusahaan. Salah satu proses yang memiliki potensi bahaya tinggi adalah proses bending menggunakan mesin Autobender di Divisi Prepress PT. XYZ. Penelitian ini bertujuan untuk mengidentifikasi potensi bahaya, menilai tingkat risiko, serta menyusun rekomendasi pengendalian guna mencegah terjadinya kecelakaan kerja. Metode yang digunakan adalah Hazard Identification, Risk Assessment, and Determining Control (HIRADC), yang meliputi identifikasi bahaya, penilaian risiko berdasarkan tingkat kemungkinan (likelihood) dan tingkat keparahan (severity), serta penentuan pengendalian sesuai hierarki pengendalian risiko. Pengumpulan data dilakukan melalui observasi lapangan, studi dokumentasi, dan wawancara dengan operator yang terlibat dalam proses kerja. Hasil penelitian menunjukkan bahwa potensi bahaya utama meliputi risiko tergores pisau, tertusuk serpihan pisau, terjepit bagian mesin yang bergerak, serta risiko ergonomi akibat postur kerja yang kurang baik. Berdasarkan hasil penilaian risiko, ditemukan kategori risiko rendah, sedang, dan tinggi yang memerlukan prioritas pengendalian berbeda. Pengendalian yang direkomendasikan meliputi penyempurnaan prosedur kerja, penggunaan alat pelindung diri, pemasangan pelindung mesin, peningkatan pelatihan operator, serta penerapan inspeksi dan pemeliharaan berkala. Implementasi rekomendasi tersebut diharapkan mampu menurunkan risiko kecelakaan kerja serta meningkatkan budaya keselamatan di lingkungan PT. XYZ.
Analysis of T-Shirt Product Quality Control to Minimize Defects Using Fault Tree Analysis (FTA) and Failure Mode and Effects Analysis (FMEA) at CV Dwiputra Ihwa Rifal Choerul Harisin; Rizky Fajar Ramdhani; Akhsani Nur Amalia
INFLUENCE: INTERNATIONAL JOURNAL OF SCIENCE REVIEW Vol. 8 No. 2 (2026): INFLUENCE: International Journal of Science Review
Publisher : Global Writing Academica Researching and Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54783/influencejournal.v8i2.353

Abstract

CV Dwiputra Ihwa is a company that operates in the garment industry, specifically producing T-shirts based on special orders or in large quantities. From June 2025 to May 2026, the percentage of defective products was 7.6% out of a total production of 18,478 units. This situation leads to more rework, waste of raw materials, and lower production efficiency. This study aims to find out which type of defect is most common, look into why these defects happen, and figure out what improvements should be done first to make the T-shirt product better. The study uses a descriptive method with a qualitative approach through a case study. Data was collected through observation, interviews, and document study, then analyzed using Pareto Diagram, Fault Tree Analysis, and Failure Mode and Effect Analysis. The Pareto chart analysis shows that stitching defects (43%) and inaccurate screen-printing defects (37%) are the two main types of defects, contributing about 80% of all defective products. The FTA analysis shows that the second type of defect is caused by a combination of human factors, methods, materials, and machines (4M), with human factors and methods being the most significant causes. The FMEA analysis results show that the Risk Priority Number (RPN) ranges from 30 to 252, with the highest risk cause being overly high production targets (RPN = 252). Based on the research results, it can be concluded that using Pareto Diagram, FTA, and FMEA is effective in identifying types of defects, analyzing root causes, and determining priorities for improvement, which helps support the enhancement of the quality of T-shirts produced by CV Dwiputra Ihwa.
Co-Authors Edwar Agus Junaedi Multi Nadeak Rifal Choerul Harisin Rizky Fajar Ramdhani Tarman