Article Per Year (5 Year)
p-Index From 2021 - 2026
0.659
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This Author published in this journals
All Journal J@TI (TEKNIK INDUSTRI) Asian Journal Science and Engineering Waste Handling and Environmental Monitoring
Zulfahmi Noor
Politeknik Sinar Mas Berau Coal, Indonesia
Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Electrical & Electronics Engineering Environmental Science 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.
Smart waste bin design with automatic waste sorting system, ergonomic, functional, aesthetic, and IoT-based integrated point system Noor, Zulfahmi; Jumatiah; Nurhaliza, Haura; Umam, Aqila Khoirul
Waste Handling and Environmental Monitoring Vol. 3 No. 1: (February) 2026
Publisher : Institute for Advanced Science, Social, and Sustainable Future

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61511/whem.v3i1.2026.2732

Abstract

Background: Creating trash bins that are comfortable to use and attractive, integrated, and capable of automatic waste separation is the answer to the waste problem that has become a major issue in Indonesia and even the world. The purpose of this study is to analyze and design smart and ergonomic trash bins. Methods: This study in Tanjung Redeb, Berau Regency, surveyed 184 trash bin users. Data were collected through observation, interviews, questionnaires, and literature review, validated with SPSS, and processed using the QFD method to design an integrated, user-friendly trash bin. Findings: The results obtained based on the interpretation of user requirement data show that users of trash bins want materials that are easy to clean with an improvement ratio of 1.25, have usage instructions with an improvement ratio of 1.0, are comfortable to use and practical with an improvement ratio of 1.0, have audio information with an improvement ratio of 1.0, use renewable and environmentally friendly energy with an improvement ratio of 1.25, flexible and lightweight with an improvement ratio of 1.0, discarded waste can be converted into points with an improvement ratio of 1.25, waste can be separated automatically with an improvement ratio of 1.0, integrated with waste management personnel (who know the volume of waste in real time with an improvement ratio of 1.0), and attractive trash bins ratio of 1.34. after collecting and reprocessing the data, the results show that smart trash bins are ergonomically designed, integrated with personnel and sorting systems to meet user satisfaction. Conclusion: Therefore, an ergonomic design for smart waste bins is needed based on the needs of waste bin users in Berau Regency. Unlike previous researchers who generally focused only on technological aspects and automatic selection. Novelty/Originality of this article: The originality of this research is also demonstrated through the development of a design that not only emphasizes technical functions but also aesthetic aspects, environmental sustainability, and increased community participation in sustainable waste management.
Co-Authors Ilham Bakri Irwan Setiawan Jumatiah Muhammad Noor Arridho Nurhaliza, Haura Nurmasitya Kemalaintan Umam, Aqila Khoirul