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All Journal Journal of Logistics and Supply Chain
Ihsan Nurhadi
Universitas Pendidikan Indonesia
Engineering

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Coherence and Gap Between Service Quality Attributes and Customer Satisfaction Ihsan Nurhadi; Bambang Darmawan
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.v2i2.62850

Abstract

Service conformance to customer expectations is measured in terms of service quality. In order to enhance their services, spot issues as they arise, and more accurately gauge customer satisfaction, service business owners frequently evaluate the quality of the services they offer to their clients. The link between sustainable product qualities and consumer decision-making has been the subject of significant research advancements in recent decades. Nonetheless, despite the substantial quantity of research, conclusions are still dispersed and occasionally even inconsistent. Because customers' assessments of service quality vary widely, the goal of this study is to demonstrate analytically and empirically how the SERVQUAL dimensions are coherent across service industries and even within the same service industry. Because the five SERVQUAL dimensions do not correspond to a customer's psychometric aspects of service quality, this conclusion suggests that there is a gap and lack of coherence between SERVQUAL's five dimensions and customer satisfaction.
Blockchain Disaster Management for Humanitarian Logistic as Post-Disaster Response Measures Mohamad Faherza Hasyir Rahman; Ihsan Nurhadi; Sheren Aurelia Widjaja; Tobi Anggesta; Putri Anjar Sari; Zeqy Zulhaqy; Hanissa Okitasari
Journal of Logistics and Supply Chain Vol 3, No 2 (2023): October 2023
Publisher : Universitas Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/jlsc.v3i1.57100

Abstract

Indonesia has a high risk of earthquake and tsunami disasters because there's many tectonic plates meet. This also causes Indonesia to have many geological changes compared to other countries. Therefore, an explicit scheme to provide information related to disasters, like an information system in post-disaster management is important. The purpose of this research is to provide transparent information regarding the data on the goods needed and the data on goods to be distributed to ensure the amount used and not used, so that victims affected by disasters can be handled quickly and appropriately. The method used in this research is a literature review. The results of this study indicate the existence of a Blockchain Disaster Management Information System as a form of a new scheme in the post-disaster management process and is an upgraded form of information system that has been developed previously. This scheme uses the blockchain concept to provide transparency and data immutability. This scheme coordinates with various institutions such as BPBD (Regional Disaster Management Agency), BNPB (National Disaster Management Agency), BASARNAS (National Search and Rescue Agency), PMI (Indonesian Red Cross Society), the nearest hospital, and other related institutions.  © 2023 Universitas Pendidikan Indonesia
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 Ahmad Reza Ar-Rafi Darmawan, Bambang Dewang Rangga Bentar Hanissa Okitasari Mohamad Faherza Hasyir Rahman Putri Anjar Sari Septian Ade Isnanto Sheren Aurelia Widjaja Tobi Anggesta Vina Dwiyanti Zeqy Zulhaqy