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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 717 Documents
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Environment Performance Index Assessment on Food Production: A Case Study in Indonesia Indah Apriliana Sari Wulandari; Hana Catur Wahyuni; Inggit Mardiyah; Nur Ravita Hanun
Jurnal Teknik Industri Vol. 23 No. 2 (2022): August
Publisher : Department Industrial Engineering, University of Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/JTIUMM.Vol23.No2.93-104

Abstract

Green Productivity (GP) is a strategy to increase production output while protecting the environment. The application of GP is a tool to evaluate the quality of the environment. For instance, an industry of crispy fried chicken drains the chicken's wash water, pours cooking oil, and slurries down the drain. It will diminish water quality. This research aims to assess Environment Performance Index (EPI) and prevent environmental damage by creating crispy chicken. The initial step must be identifying waste, creating a material balance diagram, calculating EPI and productivity, and proposing alternatives. This research indicates that pollution levels in this industry are extremely high. Environmental Service testing of production wastewater revealed BOD values of 769mg/l, COD values of 1699mg/l, TSS values of 2536mg/l, and an EPI Index of -31,05 exceed government standards. The result indicates that production enhancements must continue. In addition, this research generated some waste prevention alternatives, such as constructing a grease trap.
Techno-Economic Analysis of Lanthanum Oxide Nanoparticles Production using Combustion Solution and Hydrothermal Supercritical Water Condition Asep Bayu Nandiyanto; Irine Sofianty; Rofi Fadilah Madani; Adani Ghina Puspita Sari; Fitri Febriyanti; Risti Ragadhita; Rina Maryanti; Eddy Soeryanto Soegoto
Jurnal Teknik Industri Vol. 23 No. 2 (2022): August
Publisher : Department Industrial Engineering, University of Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/JTIUMM.Vol23.No2.79-92

Abstract

Lanthanum oxide (La2O3) nanoparticles are widely applied in various fields and have the potential to be made on a fabrication scope. As a consequence, feasibility studies for generating industries for La2O3 production are required, particularly in developing countries. The purpose of this research was to evaluate and investigate the prospect of the production of La2O3 nanoparticles. This study was carried out to determine whether large-scale La2O3 production using solution combustion (SC) and hydrothermal supercritical water conditions (HSWC) is profitable or not.  The analysis method was evaluated based on economic evaluation parameters such as gross profit margin, payback period, and cumulative net present value, while also taking technical aspects into account by designing commercial tools.  An economic evaluation was made based on estimates of ideal conditions, such as tax increases, changes in raw materials, sales, workers' salaries, and utility costs. The results of the analysis show that the best method, and has great advantages, was the HSWC method. Based on an engineering perspective, this method produces 4.08 tons of La2O3 in 20 years of production. This study is expected to provide information on the production of La2O3 nanoparticles by comparing the solution combustion method and hydrothermal supercritical water conditions on an industrial scale.
An Improved Ant Colony Optimization Algorithm for Vehicle Routing Problem with Time Windows Muhammad Faisal Ibrahim; M. I. Mustofa; P Meilanitasari; S. U. Wijaya
Jurnal Teknik Industri Vol. 23 No. 2 (2022): August
Publisher : Department Industrial Engineering, University of Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/JTIUMM.Vol23.No2.105-120

Abstract

Distribution plays an important role in the supply chain system. One of the critical problems in distribution is the vehicle routing problem. This research proposes the Improved Ant Colony Optimization (IACO) algorithm to solve the Vehicle Routing Problem with Time Windows (VRPTW). The main objective is to minimize the total vehicle mileage by considering the vehicle capacity and customer time windows. The proposed IACO algorithm is inspired by the conventional Ant Colony Optimization (ACO) algorithm by adding local search and mutation processes. Numerical experiments were conducted to test that the routes generated did not violate the customer's time window constraints. In addition, this study also compares the proposed IACO algorithm routes with other metaheuristic algorithms, namely ACO classic and Tabu Search. In addition, this investigation was carried out by experimenting with the number of iterations. The results of numerical experiments prove that the proposed IACO algorithm can minimize the total vehicle mileage without violating capacity constraints and time windows.
Analysis Noise Level in Production the Palm Oil: A Case Study Nismah Panjaitan; Utari Noor Afifah Panggabean
Jurnal Teknik Industri Vol. 23 No. 2 (2022): August
Publisher : Department Industrial Engineering, University of Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/JTIUMM.Vol23.No2.121-132

Abstract

Excessive noise exposure during the manufacturing process is a widespread issue. This research aimed to analyze noise exposure in the kernel recovery station in the manufacturing process of palm oil. We conduct some measurements and calculations for noise exposure analysis to get the Equivalent Noise Level (Leq) value during the daytime for each measurement point. The noise measurement was conducted on four machines, including a depericarper and polishing drum machine, ripple mill machine, silo dryer machine, and clay bath machine. In addition, this research showed noise contour mapping to define the noise distribution.  The results of this research are that only the clay bath machine had Ls below the threshold. The clay bath machine workstation has good noise levels. The Depericarper, Polishing Drum, Ripple Mill, and Silo Dryer Machine must be quieter. Thus, this research used the Hierarchy of Control Approach to reduce and control hazardous noise exposure. The stage of HOC includes elimination, substitution, engineering, administrative control, and Personal Protective Equipment (PPE).
Novel Heuristic Algorithm for Flexible Job Shop Scheduling based on the Longest Processing Time Rules to Minimize Makespan Eka Pakpahan; Kenneth David Sumarna
Jurnal Teknik Industri Vol. 24 No. 1 (2023): February
Publisher : Department Industrial Engineering, University of Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/JTIUMM.Vol24.No1.17-30

Abstract

This research examined the scheduling of jobs with multiple stages unto identical parallel machines to minimize the makespan. The work is motivated by a Flexible Manufacturing System case that produces various parts and has multiple machining centers. Early research towards this system proposed a stage-by-stage independent scheduling, resulting in a non-optimal solution. This study aimed to create a better solution for the system by developing a novel heuristic algorithm based on the classical longest processing time algorithm and simultaneously considering processing time for all stages when deciding the job sequencing and job-machine allocation. The algorithm is defined as Modified LPT for Multiple Identical Machine with Multi-process Capability (M-LPT MIMMPC). We performed a numerical experiment to assess the algorithm's performance by incorporating various cases. We concluded that the resulting makespans are always better than LPT's theoretical bound for parallel machine scheduling. In some cases, it successfully gave an optimal value. Although the experiment scope was still limited, the algorithm showed promising performance results.
Development of Customer Loyalty Model on Online Transportation Service: A Case Study in Indonesia Budhi Prihartono; Karina Rizky Ismantia; Fidruzal Fahlevi
Jurnal Teknik Industri Vol. 24 No. 1 (2023): February
Publisher : Department Industrial Engineering, University of Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/JTIUMM.Vol24.No1.1-16

Abstract

The impact of technology on public transport has led to a new online transportation service. Its emergence makes the competition increasingly competitive. Therefore, customer loyalty becomes an important aspect of winning the competition. This research analyzed the effect of customer service, service delivery, onboard experience, public image, service value, and customer satisfaction on customer loyalty to online transportation. 517 respondents were obtained and divided into two groups: captive rider and choice rider. Data processing is carried out using a multigroup SEM technique. The results showed that there was a significant moderation effect of the different characteristics of users. In the captive rider group, onboard experience and service value did not affect customer satisfaction, and service value did not affect customer loyalty. Customer satisfaction influenced customer loyalty, and the effect was more robust than the choice rider group. In the choice rider group, the public image did not affect customer satisfaction, but service value influenced customer loyalty. Factors proven to influence customer loyalty significantly can be developed by companies to improve their competitive advantage in an increasingly competitive market of online transportation services.
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.
An Integrated ANP and MARCOS for Green Supplier Selection: A Case Study on Construction Industry Shanty Kusuma Dewi; Zara Safira Ramadhani
Jurnal Teknik Industri Vol. 23 No. 2 (2022): August
Publisher : Department Industrial Engineering, University of Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/JTIUMM.Vol23.No2.133-148

Abstract

Raw material suppliers are important in production, especially in the construction industry. It is because suppliers determine the availability of raw materials in a project. The research aims to propose a new integrated procedure for Green Supplier Selection in the Construction Industry. The proposed integration method is Analytical Network Process (ANP) and Measurement Alternatives and Ranking according to Compromise Solution (MARCOS) method. Both methods are Multi-Criteria Decision Making (MCDM) procedures. The ANP method is used to determine the weight of each criterion, and the MARCOS method is used to determine the weight of the best supplier. Seventeen criteria are used in supplier selection involving economic and environmental dimensions. The results showed that based on the ANP method, the most important criterion was the consistent quality of goods. Meanwhile, three suppliers were analyzed for selection based on the MARCOS procedure. The results show that the best supplier is supplier X with a utility function value of 0.749. These results show that the proposed procedure (integration of ANP and MARCOS) effectively solves Green Supplier Selection.
Evaluation of Sustainability Supply Chain Performance in the Food Industry: A Case Study Danang Kumara Hadi; Andika Putra Setiawan; Oppy Valencia Indrian; Erwin Fadilatur Rosyid
Jurnal Teknik Industri Vol. 24 No. 2 (2023): August
Publisher : Department Industrial Engineering, University of Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/JTIUMM.Vol24.No2.95-108

Abstract

Evaluating sustainability in the food supply chain has multiple benefits, including reducing environmental impact, meeting regulations, satisfying consumer demands, improving efficiency, and enhancing business reputation. This paper outlines a Sustainability Supply Chain Management (SSCM) framework using the Analytic Hierarchy Process (AHP) to weigh Key Performance Indicators (KPIs). With 12 variables and 39 KPIs, the method involves data collection, performance measure selection, and analysis. KPIs with lower weight values highlight areas needing improvement, such as recycling costs, personnel expenses, sales responsiveness, eco-friendly labelling, distribution efficiency, green product development, recycled material usage, employee capabilities, product reputation, worker satisfaction, and stakeholder trust. Based on KPI weights, recommendations include prioritizing energy use in production and marketing, ensuring timely product delivery, maintaining product quality, streamlining production processes, focusing on energy efficiency, promoting eco-labelling, fostering eco-awareness, and advancing environmental technology.
Fuzzy TOPSIS for Post-Harvest Losses Drivers Evaluation in Fish Supply Chain: A Case Study Muhammad Faisal Ibrahim; Taufik Kurrahman; Prita Meilanitasari
Jurnal Teknik Industri Vol. 24 No. 2 (2023): August
Publisher : Department Industrial Engineering, University of Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/JTIUMM.Vol24.No2.127-140

Abstract

Being highly susceptible to damage, fish result in significant post-harvest fish losses (PHFL) due to quality deterioration from inefficient harvesting and market dynamics. This study aims to identify the leading factors driving PHFL and construct a practical decision-making framework for the fisheries industry's development. Employing the fuzzy TOPSIS method, we scrutinized the critical causes of PHFL. Our literature review revealed four aspects and 13 operational processes contributing to PHFL across the supply chain. Among these processes, four drivers were the primary culprits: excessive fish capacity in shipping baskets, inadequate ice cooling during transportation to suppliers, insufficient ice cooling during supplier sorting, and the absence of appropriate tools for small retailers. To alleviate PHFL and enhance the fishery industry, priority should be given to addressing excessive fish capacity in shipping baskets, which poses a risk of physical damage during transit. Moreover, inadequate ice-cooling techniques, particularly in transportation and supplier sorting stages, raise public health and food safety concerns. Stakeholders must prioritize these critical factors for PHFL reduction.

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