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p-Index From 2021 - 2026
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All Journal Journal of Logistics and Supply Chain
Septian Ade Isnanto
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Engineering

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Factory Layout Planning Using Activity Relationship Chart (ARC) and Activity Relationship Diagram (ARD) Method (Study Case: Kahuripan Foods Lembang) Anisa Putri Rahmadani Lubis; Adelia Suyatno; Mohamad Faherza Hasyir Rahman; Septian Ade Isnanto; Vina Dwiyanti
Journal of Logistics and Supply Chain Vol 2, No 2 (2022): October 2022
Publisher : Universitas Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/jlsc.v2i2.62854

Abstract

Kahuripan Food Lembang which is one of the SMEs (Small and Medium Industries) has invested in the food security sector of West Java. It is unfortunate that from the amount of potential owned by this industry, it does not have a factory layout according to The Indonesian Food and Drug Authority (BPOM) standards, thus hampering the production process. The method used in this research is a qualitative method with data collection techniques in the form of interviews, documentation, and observation. After obtaining the method to be used, then the layout is made with the selected method, namely the Activity Relationship Chart (ARC) and Activity Relationship Diagram (ARD) methods. Based on the results of the analysis and evaluation of the activity relationship of each department needed, it shows that the layout made can help streamline production and logistics activities because it has a flow of activities that have been adjusted to the degree of relationship as a basis for consideration and has been adjusted to the actual size needed.
STOPIA: A Wearable Sensor and IoT based Truck Driver Stress Monitoring System to Reduce Traffic Accidents Ihsan Nurhadi; Dewang Rangga Bentar; Ahmad Reza Ar-Rafi; Septian Ade Isnanto; Vina Dwiyanti
Journal of Logistics and Supply Chain Vol 3, No 1 (2023): April 2023
Publisher : Universitas Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/jlsc.v3i1.64691

Abstract

Truck drivers are known to be a demanding profession as their workload affects their body condition. On the basis of these problems, it is necessary to take preventive measures to reduce material losses and casualties. Through the use of the literature review method, the authors reveal a visual representation of the prevailing trends in the existing body of research on how stress impacts truckers and stress control to minimize accidents. The representation of ongoing research and shortcomings in potential future investigations was then used as a reference in prototyping, the stages of which are presented in the form of flow charts. The results show that stress primarily causes driver fatigue, alongside various indicators that serve as benchmarks for identifying fatigue-related factors. It was also found that there is an undeniable link between stress and fatigue in truck drivers during work performance. As part of the research results, the authors propose a solution in the form of sensors and IoT-based wearable devices that can help measure stress indicators, namely STOPIA. With the implementation of STOPIA, it is hoped that accurate recognition of driver fatigue conditions can be achieved, reducing the risk of traffic accidents, and providing comfort and safety for truck drivers and the transportation industry. Thus, this technology has the potential to decrease accident risks, enhance driver management, and reduce accident-related costs in the transportation industry.
Co-Authors Adelia Suyatno Ahmad Reza Ar-Rafi Anisa Putri Rahmadani Lubis Dewang Rangga Bentar Ihsan Nurhadi Mohamad Faherza Hasyir Rahman Vina Dwiyanti