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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.
Implementation and Training of a VBA for Service Information System using Waterfall Model: A Case Study of Laundry Hasanah Zulfahmi Noor; Lintang Puja Prameswarie; Siti Irma Fadilla; Sheila Carol Dorothy Kemur; Arif Mustakim; Nur Ainun Musvirah; Nurmasitya Kemalaintan; Fauziah Fauziah
SWARNA: Jurnal Pengabdian Kepada Masyarakat Vol. 5 No. 5 (2026): SWARNA : Jurnal Pengabdian Kepada Masyarakat, Mei, 2026
Publisher : LPPM Sekolah Tinggi Ilmu Ekonomi 45 Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55681/swarna.v5i5.2335

Abstract

The advancement of information technology has driven the digitalization of the MSME sector; however, most businesses still rely on manual systems that are inefficient and prone to errors. This issue is also encountered by Laundry Hasanah MSME in Berau Regency in managing its service operations. Therefore, this study aims to develop and implement a service information system based on Visual Basic for Applications (VBA) to improve data processing efficiency and enhance service quality, which is expected to have a significant impact on the business sustainability of Laundry Hasanah. The development and design method employed in this study and community service activity is the Waterfall model, consisting of the stages of analysis, design, implementation, and testing. The implementation results indicate that the system is capable of accelerating the recording process, reducing errors, and improving service quality in a more effective and accurate manner. Based on the design and implementation of the VBA based laundry service information system, it can be concluded that the application was systematically designed and developed in accordance with the Waterfall model. Each stage, from requirements analysis to maintenance, was carried out sequentially and consistently, ensuring that the development process was structured, controlled, and capable of minimizing potential errors.
Smart waste bin design with automatic waste sorting system, ergonomic, functional, aesthetic, and IoT-based integrated point system Zulfahmi Noor; Jumatiah; Haura Nurhaliza; Aqila Khoirul Umam
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.
Prototype Design of Palm Oil Fruit Collection Based on Automation Industrial Robotics using QFD Method Zulfahmi Noor; Marvel Dwi Gulan Silindang; Dewi Risky Hariyono; Firta Handayani; Dino Moeslim Jujuryansyah; Anisa Suliyanti; Nurmasitya Kemalaintan; Muhammad Noor Arridho; Fauziah
ARMADA : Jurnal Penelitian Multidisiplin Vol. 4 No. 5 (2026): ARMADA : Jurnal Penelitian Multidisplin, Mei 2026
Publisher : LPPM Sekolah Tinggi Ilmu Ekonomi 45 Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55681/armada.v4i5.2337

Abstract

The manual collection of scattered palm oil fruits in plantation areas often causes worker fatigue and ergonomic risks. This study aims to analyze user requirements and design an automated robotic system for palm oil fruit collection using the Quality Function Deployment (QFD) approach. The proposed robot is designed to navigate autonomously between oil palm trees and detect fruit positions through sensors and intelligent camera integration. QFD is used to translate user needs into technical specifications for the robotic system. The analysis shows that several attributes are required, including high mobility on various terrains, a robotic arm for fruit collection and self-recovery when overturned, weather-resistant and easy-to-clean materials, an automated fruit collection mechanism, sufficient wireless power endurance, a solar-powered charging station, accurate fruit identification, a navigation system, and a fruit weight detection sensor. The highest improvement ratios are found in the navigation system, robotic arm, solar charging station, and weight detection sensor. These findings indicate that the proposed robotic system can meet user requirements and has the potential to improve collection efficiency, reduce worker workload, and support productivity in oil palm plantations.
Innovation in an IoT-Based Smart Biogas Reactor Prototype for Converting Household Organic Waste into Alternative Energy Zulfahmi Noor; Nurmasitya Kemalaintan; Marvel Dwi Gulan Silindang; Anisa Suliyanti
International Journal of Engineering Continuity Vol. 5 No. 1 (2026): IJEC
Publisher : Sultan Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58291/ijec.v5i1.572

Abstract

Biogas is a gas produced by the anaerobic decomposition of organic matter with the aid of microorganisms; it primarily consists of methane (CH₄), which has a high calorific value and holds potential as an alternative energy source. Biogas production is carried out using a biogas reactor as the fermentation medium. The use of household waste as feedstock aims to generate economical and environmentally friendly energy while reducing waste and water pollution caused by leachate. The development of alternative energy is becoming increasingly relevant amid global energy supply instability, including the impact of geopolitical dynamics in the Strait of Hormuz region, which serves as a major global oil distribution route. With technological advancements, innovations in smart biogas reactors based on the Internet of Things (IoT) enable real-time monitoring and control of process parameters to enhance methane gas production efficiency. This study employs an experimental method to evaluate the effectiveness of a biogas reactor design utilizing IoT devices, with a focus on real-time monitoring of temperature, pH, and methane gas concentration parameters. Based on the test results, the methane gas concentration increased from 14.08 ppm on the first day to 16.79 ppm on the ninth day. Fermentation conditions indicated an increase of 19.25%. The developed system design utilizes an ESP32 microcontroller integrated with DHT11, PH-4502C, and MQ-4 sensors, and employs Blynk and ThingSpeak for data visualization. The selection of sensors was based on considerations of suitability for the application’s needs, ease of integration with the microcontroller, market availability, and cost-effectiveness of implementation.   Test results indicate that the reactor design and system can consistently transmit and present data within an optimal communication range, thereby contributing to improved efficiency, explosion safety, gas leak prevention, and control over the fermentation process in the constructed reactor. During testing, the results showed that the detected gas leak level was 0% throughout the entire observation period. Thus, the system demonstrated a 100% success rate in leak prevention. The implementation of this reactor design supports the development of a more modern, effective, and sustainable renewable energy processing system.
Indonesian Society Perception in Intervention of Solar Panel Incentives Nurmasitya Kemalaintan; Zulfahmi Noor; Muhammad Noor Arridho
Eduvest - Journal of Universal Studies Vol. 6 No. 7 (2026): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v6i7.52984

Abstract

The use of residential solar panels is gradually being intensified by the government. Policies to support residential solar panel adoption are also being developed. In relation to policy implementation in Indonesia, field conditions need to be properly understood to ensure effective policy performance. This study, *Indonesian Society Perception in Intervention of Solar Panel Incentives*, examines the views of Indonesian society regarding solar panel incentives and their role in the decision to adopt solar panels. The aim is to identify incentives that are most suitable for implementation in Indonesia. Incentives identified based on the literature review include Feed-in Tariff, Net Metering, R&D Investment, Green Certification, and Education & Awareness Programs. This study uses the SODA (Strategic Options Development and Analysis) approach. Data collection was conducted through structured interviews. Interviews were carried out with households using solar panels as their main source of electricity to meet energy needs in the Yogyakarta area, as well as potential adopters who are part of an energy community. This community expressed both positive and negative perceptions of each incentive. The results indicate a positive perception of Feed-in Tariff, Net Metering, and Education & Awareness Programs, as these three incentives are considered more feasible and applicable within the current Indonesian context. Meanwhile, R&D Investment and Green Certification are perceived negatively, as they are considered costly and less directly beneficial for immediate adoption. Based on these findings, the most suitable incentive for Indonesian society is the Education & Awareness Program.