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Sugeng Santoso
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Departement Industrial Engineering University of Muhammadiyah Malang Jl. Tlogomas No 246 Malang
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INDONESIA
Jurnal Teknik Industri
Published by Universitas Muhammadiyah Malang
ISSN : 19781431     EISSN : 25274112     DOI : -
Core Subject : Economy, Science, Engineering,
Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Industrial & Manufacturing Engineering
Dr. Saiful Anwar Malang is a state hospital has done it is job and function, but in 3rd class of pavilion room, the number of patient decrease dramatically. It is concerned with quality of this hospital. To answer this problem, research was done using Quality Function Deployment (QFD). Quality Function Deployment is a tool which design some needs include customers represented as a voice of customer and including some competitions and also groups some activities that usually called affinity graphic ang getting a benchmarking for it is competition. From the result analysis can be showed that main attribute for patience is a accuracy. And from House Of Quality can be found that getting a periodic meeting to evaluate this hospital and also increase a service can be made 20 concept
Arjuna Subject : Bisnis, Menejemen, dan Akutansi (semua kategori) - Strategi dan Menejemen
Articles 5 Documents
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Search results for , issue "Vol. 23 No. 1 (2022): February" : 5 Documents clear
Analysis of the Effect of Occupational Safety and Health (OSH) Culture on Implementing OSH Awareness: A Case Study Indah Pratiwi; Yusakh Ivanovic
Jurnal Teknik Industri Vol. 23 No. 1 (2022): February
Publisher : Department Industrial Engineering, University of Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/JTIUMM.Vol23.No1.17-30

Abstract

Occupational Safety and Health (OSH) culture among students has not become a full awareness that is applied in everyday life in college. This study aims to identify, test, and analyze how much OSH culture influences implementing OSH awareness for students. The research was conducted on Industrial Engineering students at Universitas Muhammadiyah Surakarta (IE UMS) as many as 120 respondents from the class of 2016 to 2019 filled out a questionnaire about OSH culture. The method used in this study is the analysis approach of Structural Equation Modeling (SEM) variance-based or so-called Partial Least Square (PLS-SEM).   The variables in the OSH culture are four independent variables, namely: individual, organizational, occupational, and environmental with 18 sub-variables. Meanwhile, one dependent variable, awareness, consists of six sub-dependent variables. It was found that environmental, organizational, and occupational factors on awareness level significantly affect implementing OSH culture, and individual factors have no significant effect on the awareness level of implementing OSH culture. Thus, an improvement strategy is obtained by increasing environmental, organizational, and occupational preferences to maximize the implementation of OSH culture.
A Genetic Algorithm for Solving Periodic Heterogeneous Vehicle Routing Problem Amelia Khoidir; Annisa Kesy Garside
Jurnal Teknik Industri Vol. 23 No. 1 (2022): February
Publisher : Department Industrial Engineering, University of Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/JTIUMM.Vol23.No1.31-42

Abstract

This paper addresses the periodic heterogeneous vehicle routing problem (PHVRP), an extension of the classical vehicle routing problems (VRP). This problem is known to be confined to various real-world instances where each customer's demand should be served within a specific time horizon and a maximum demand quantity that can be delivered at each visit. The heterogeneous capacitated vehicles are available to perform the services for each customer. This paper aims to minimize the total traveling time of routes for all vehicles over the time horizon so that the customers' demands can be delivered. Thus, a novel coding scheme is also proposed to directly convert a random sequence of integers into a feasible solution, which is then embedded into algorithms. Furthermore, this paper also compares the performance of the Genetic Algorithm (GA) with the particle swarm optimization algorithm (PSO). The numerical results of the experiments show that the proposed GA is superior to PSO. However, the computation time of PSO is faster than GA.
Implementation of Lean Construction to Eliminate Waste: A Case Study Construction Project in Indonesia Wresni Anggraini; Harpito; Merry Siska; Dian Novitri
Jurnal Teknik Industri Vol. 23 No. 1 (2022): February
Publisher : Department Industrial Engineering, University of Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/JTIUMM.Vol23.No1.1-16

Abstract

Lean Construction (LC) presented innovative practices to maximize the production value and minimize the production waste during construction. The problem that frequently occurs in the project is delaying the schedule, leading to time and cost overrun. This research aims to eliminate waste that causes delay and inefficiency. Several LC techniques were carried out to improve the efficiency of this project, namely: Value Stream Mapping (VSM) to discover wastes and determine Process Efficiency Cycle (PCE); Waste Assessment Model (WAM) to identify the inter-relationship among wastes; Fishbone (Ishikawa) diagram analysis to get the root cause of the waste.   Research results showed the three highest wastes: defect 14.06%, over production 21.44%, and the highest rank was unnecessary inventories 31.73%. After implementing LC techniques, the PCE increased from 72 % to 79%. The implication of this research is to provide recommendations to the project’s stakeholders in running the building construction to avoid delay and inefficiency.
A Novel Hybrid Yellow Saddle Goatfish Algorithm for Fuel Consumption Vehicle Routing Problem with Simultaneous Pick-up and Delivery Problem Dana Marsetiya Utama; Ulfa Fitriani; Ikhlasul Amallynda; Rizal Dian Azmi
Jurnal Teknik Industri Vol. 23 No. 1 (2022): February
Publisher : Department Industrial Engineering, University of Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/JTIUMM.Vol23.No1.43-66

Abstract

Currently, the issue of the fuel crisis has become a global concern. The distribution sector is one of the sectors that consume the most significant fuel. Therefore, an effective procedure for fuel energy efficiency is needed to resolve the routing problem. In addition, the vehicle load must be considered in delivery and pickup at each node. This research proposes the novel Hybrid Yellow Saddle Goatfish Algorithm (HYSGA) algorithm to solve the Fuel Consumption Vehicle Routing Problem Simultaneous Pickup and Delivery (FCVRPSPD) problem. The objective function to be achieved was to minimize fuel costs. This study conducted experiments with HYSGA parameters such as the number of Goatfish, iterations, and the number of goatfish clusters to optimize the FCVRPSPD problem. In addition, a sensitivity analysis was presented to examine the effect of the FCVRPSPD variable on fuel costs. This study also compared the proposed algorithm with several state-of-the-art procedures. The results showed that the parameters of the number of Goatfish and the HYSGA iteration affected fuel costs. Furthermore, based on experiments, the proposed algorithm provided a competitive fuel cost compared to other algorithms.
Evaluation Supplier Involve on Food Safety and Halal Criteria using Fuzzy AHP: A Case Study in Indonesia Danang Setiya Wijaya; Dian Setiya Widodo
Jurnal Teknik Industri Vol. 23 No. 1 (2022): February
Publisher : Department Industrial Engineering, University of Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/JTIUMM.Vol23.No1.67-78

Abstract

Selecting or evaluating reliable suppliers is essential to business, and the food industry is no exception. Business operations are at serious risk if suppliers are not properly selected. One of the risks that occur is the risk of food safety and halal. Not many studies have explored this topic, even though this issue is crucial for the Muslim community. This research aims to Evaluate Supplier Involve in Food Safety and Halal Criteria using Fuzzy AHP. It can help food manufacturers decide based on food safety and halal criteria during the supplier selection. The case study is applied to a food industry in Indonesia that produces biscuits. Eight criteria and 17 sub-criteria based on economic, social, and environmental dimensions were used to evaluate suppliers. The results show that the Halal certification system (HP) and product compliance with specifications (Q2) are the most important factors to consider. Third and fourth places are product price criteria (C1) and food safety management system certifications (FS2). Weighted evaluations of food industry suppliers are also possible with Fuzzy AHP.

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