Article Per Year (5 Year)
p-Index From 2021 - 2026
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This Author published in this journals
All Journal J@TI (TEKNIK INDUSTRI) Asian Journal Science and Engineering
Zulfahmi Noor
Politeknik Sinar Mas Berau Coal, Indonesia
Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Electrical & Electronics Engineering Industrial & Manufacturing Engineering Mechanical Engineering

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ERGONOMIC RISK FACTOR’S SAFETY SIGN: A REVIEW Zulfahmi Noor; Ilham Bakri; Irwan Setiawan
J@ti Undip: Jurnal Teknik Industri Vol 16, No 4 (2021): Edisi Khusus ACISE 2021
Publisher : Departemen Teknik Industri, Fakultas Teknik, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (265.302 KB) | DOI: 10.14710/jati.16.4.256-261

Abstract

One of the risks in the workplace today is the risk of ergonomic hazards, apart from the risks of hazards that often occur such as risks of physical hazards and risks of hazards from the work environment. If the risk of physical hazards and the risk of environmental hazards already have many safety signs that are widely accepted, this is not the case with the risk of ergonomic hazards that do not yet have a validated and widely used safety sign. More fundamentally, awareness of the risks of ergonomic hazards is not fully understood by both workers and employer institutions. The method used in reviewing this paper is to enter the keywords safety sign, safety sign design, and ergonomic risk factors on google scholar and science direct.
Implementation of Fault Tree Analysis for Production Quality Control Evaluation Zulfahmi Noor; Nurmasitya Kemalaintan; Muhammad Noor Arridho
Asian Journal Science and Engineering Vol. 4 No. 2 (2025): Asian Journal Science and Engineering
Publisher : CV. Creative Tugu Pena

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51278/ajse.v4i2.2111

Abstract

This study aims to evaluate the quality control of lightweight brick production at PT XYZ using the Fault Tree Analysis (FTA) method. In the manufacturing industry, product defects are a major challenge that can affect production efficiency, operating costs, and company competitiveness. Based on production data from January to December 2024, the total number of defects identified reached 125,334 units, consisting of three main types, namely cracks (63%), peeling (21%), and imprecision (16%). Through the application of FTA, this study revealed that the two dominant factors that are the root causes of product defects are human error and tools or equipment. Human error is mainly triggered by operator carelessness, overly rapid mold dismantling processes, and errors in installing cutting tools. Meanwhile, machine factors include worn components, excessive vibration, deteriorating cutting wire quality, and lack of regular maintenance. The results of the study emphasize the need for a comprehensive improvement strategy through increasing operator competence, enforcing work discipline, scheduled machine maintenance, and standardizing operational procedures. The implementation of these improvements is expected to reduce the defect rate and improve product quality in a sustainable manner.
Co-Authors Ilham Bakri Irwan Setiawan Muhammad Noor Arridho Nurmasitya Kemalaintan