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Jurnal Ilmiah Teknik Industri
Published by Universitas Muhammadiyah Surakarta
ISSN : 14126869     EISSN : 24604038     DOI : -
Core Subject : Engineering,
Industrial & Manufacturing Engineering
Jurnal Ilmiah Teknik Industri is a scientific journal that aims to participate in developing the scientific field of Industrial Engineering, contains the results of research and theoretical study from lecturers, researchers and industry practitioners. Jurnal Ilmiah Teknik Industri is administered by the Department of Industrial Engineering, Faculty of Engineering, Universitas Muhammadiyah Surakarta and published by the Muhammadiyah University Press (MUP).
Arjuna Subject : -
Articles 19 Documents
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Search results for , issue "Vol. 22, No. 1, June 2023" : 19 Documents clear
Improving the Quality of Service Using the IPA and PGCV Methods at BPJS Kesehatan, South Tangerang Rini Alfatiyah; Sofian Bastuti
Jurnal Ilmiah Teknik Industri Vol. 22, No. 1, June 2023
Publisher : Department of Industrial Engineering Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/jiti.v22i1.21685

Abstract

BPJS Health is tasked with administering the health insurance program, or better known as the National Health Insurance (JKN). The problem that occurs is that there are still many community reports indicating that BPJS Health services in Tangerang are still not good. The goal to be achieved by the author is to find out the quality of service that will be provided by the South Tangerang City BPJS Health Service Office to users and provide suggestions for improvement to increase customer satisfaction at the South Tangerang City BPJS Health Service Office. The method used in this paper uses Importance Performance Analysis (IPA) and Potential Gain in Customer Service (PGCV). The results of this study are IPA analysis stating that the majority of services are in quadrant IV, which means that the service is satisfactory but services that are not considered important by customers. While 6 services are considered important by customers but are not satisfactory. Meanwhile, the PGCV analysis stated that long queue waiting times were a top priority for improvement.
Applying SERVQUAL for Measuring Customer Satisfaction on Institute for Research and Community Service: A Case Studi at Universitas Muhammadiyah Surakarta Hari Prasetyo; Atik Setiawati; Gusti Fauza
Jurnal Ilmiah Teknik Industri Vol. 22, No. 1, June 2023
Publisher : Department of Industrial Engineering Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/jiti.v22i1.21321

Abstract

This study aims to design a valid instrument for measuring the satisfaction of internal and external users on service quality provided by an institute for research and community service (LPPM) at a university. The SERVQUAL model is applied and a case study was conducted at Universitas Muhammadiyah Surakarta. Twenty-eight research attributes and twenty attributes of community services have been developed to measure the LPPM service quality based on five dimensions criteria namely tangible, reliability, responsiveness, assurance, and empathy. The developed attributes were validated by experts, e.g., head of LPPM and his staff. Further, using bivariate Pearson correlation and Cronbach alpha those attributes were tested for validity and reliability using SPSS 23. The result showed that all attributes in the instrument were valid and reliable. Furthermore, based on the Actual SERVQUAL Score (ASC), all attributes have score more than 75%, which can be classified as better than “good” according to the UMS Quality Assurance Agency (LJM). It indicates that the customers are satisfied with the services. However, based on the service quality gap analysis (i.e., gap between the perceptions and expectations of users), all statements showed negative results, which means that the perception is lower than expectation. Hence, improvements are still required especially to those attributes with high gap
Marketing Strategy to Improve the Competitiveness of Lurik Woven Fabric MSMEs Centers in Klaten, Central Java S. Suranto; Much. Djunaidi
Jurnal Ilmiah Teknik Industri Vol. 22, No. 1, June 2023
Publisher : Department of Industrial Engineering Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/jiti.v22i1.22881

Abstract

Lurik" woven fabric is a product of the creative industry of micro, small and medium enterprises (MSMEs) in the weaving field. Lurik woven fabric is developed in six industrial centers (Pedan, Cawas, Bayat, Juwiring, Karangdawa and Delanggu sub-districts). Lurik woven fabric is a weaving craft, hand-made through non-machine looms (ATBM). The research aims to raise the potential of lurik woven fabric products so that they can be of interest to consumers so as to increase sales volume. The marketing strategy is carried out by implementing the 7P marketing mix (product, price, promotion, place, people, physical evidence, process) to increase sales volume. The data collection methods are through exploratory and survey methods, with a sample of respondents of lurik woven fabric buyers and a sample of entrepreneurs as informants, as well as the role of the Focus Group Discuccion Forum in designing marketing mix questionnaire questions and sales volume attributes. The method of data analysis through respondent preferences to determine the variable attributes of lurik fabric that respondents are interested in and path analysis of the marketing mix path to sales volume. Based on the results, it is concluded that lurik fabric products in Klaten Indonesia are of sufficient in quality, the price is relatively affordable/cheap, the promotion has not been maximized, the product is not widely known, the business actors are quite persistent and enthusiastic, the supporting physical means of sales are quite good.   
Six Sigma Approach with Integration of FMEA-Fuzzy SWARA-Fuzzy WASPAS to Minimize Bottled Water Defects Gigih Amayu Pragastio; Annisa Kesy Garside; Thomy Eko Saputro
Jurnal Ilmiah Teknik Industri Vol. 22, No. 1, June 2023
Publisher : Department of Industrial Engineering Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/jiti.v22i1.21370

Abstract

Along with the increasingly tight competition, companies are required to always be consistent in improving the quality of its products. Improvement of product quality can be achieved through minimization or even reduction of product defects. This study aims to minimize defects by providing improvement suggestions based on critical failure modes The Six Sigma approach is adopted to reduce the occurrence of product defects. The FMEA-FSWARA-FWASPAS FMEA method is integrated in the six sigma approach, especially to determine the priority of failure modes and the recommended efforts to minimize failure modes that trigger product defects. FSWARA is used to determine severity, occurrence, and detection weights as failure mode assessment criteria. Meanwhile, determination of the critical failure mode is based on the results of the evaluation using FWASPAS. This research is based on a case study in which 5 types of defects were found, namely, skewness, underfilling, leaks, broken lids, and broken boxes. The main causes lie in the human factor and the machine factor. The results showed that there were 3 critical failure modes, namely, the wrong setting of the cutter timer by the operator, the frequent change in the heater temperature, and material getting damaged
Optimization of Delivery Cost on Reverse Logistic for Product Claim in the Two-Wheel Vehicle Industry Paduloh, Paduloh; Mayana, Tiswy
Jurnal Ilmiah Teknik Industri Vol. 22, No. 1, June 2023
Publisher : Department of Industrial Engineering Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/jiti.v22i1.21469

Abstract

Product returns are one of the obstacles faced by two-wheeled motor vehicle industry companies in Indonesia, where the company's head office is based in Japan. The obstacle faced is the excess cost of shipping product claims compared to the planned cost budget. These products are replacement parts for CBU (completely built-up) units for two-wheeled motor vehicles exported to Japan. This case will be solved using reverse logistics, where the initial analysis is carried out by finding the value of the bullwhip effect on the company's orders and requests. The next stage is forecasting for the next period using the ARIMA method using Rstudio. The results showed the occurrence of a bullwhip effect, and then the best result was the ARIMA model (0,1,3) (2,1,0). The value of the bullwhip effect managed to decrease by applying the forecasting model. Then optimizing the shipping cost of claim products processed by LINGO results in a 5% reduction in shipping costs from the budget.
Study of 3D Printing Layered Fiber Fabric Filaments as an Alternative to Polypropylene Materials in Ankle Foot Orthosis for Children with Cerebral Palsy Muhammad Fiqran Alauddin; Susy Susmartini; Lobes Herdiman
Jurnal Ilmiah Teknik Industri Vol. 22, No. 1, June 2023
Publisher : Department of Industrial Engineering Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/jiti.v22i1.21433

Abstract

Children with CP in the moderate category need to use AFO to be able to walk. AFO products with PP materials used by CP children have drawbacks because the design needs of CP children are different. The application of additive manufacture by adding a layer of fiber fabric expected to replace PP materials. The basic materials for making AFO are PLA, ABS, PETG and PC filaments with carbon and texalium fabric types. Tests are carried out through tensile and impact tests to obtain tension and impact values. The treatment factors used in the process of making specimen are lamination, type of filament, and thickness. This study uses a factorial design model, to determine the significance value of each factor using ANOVA. The results show a polycarbonate filament layered with carbon fabric with a tension of 301.064 MPa, and an impact of 40.68 J/m.
Identification of Production Decline Factors using the LEAN DMAI Method Ika Widya Ardhyani; Sherly Ardhya Garini; Fitri Suhartiningrum; Qurrota Akyun
Jurnal Ilmiah Teknik Industri Vol. 22, No. 1, June 2023
Publisher : Department of Industrial Engineering Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/jiti.v22i1.20013

Abstract

PT Himalaya Mitra Sukses, is a company engaged in the cooking seasoning and flavoring industry. The products produced include tomato sauce, chili sauce, and premix flour. The company has problems achieving less than optimal productivity, which later became the basis of this research. In this research, identification of waste that occurs in the production process using the Lean DMAI method. The data in this research were processed and analyzed based on 4 main stages: (1) Big Picture Mapping (BPM); (2) making Pareto Diagrams; (3) Root Cause Analysis (RCA); (4) the Failure Mode Effect and Analysis (FMEA) method to reduce the existing waste. Based on the results of the research, it is known that the types of waste identified are overproduction, defects, waiting processes, unnecessary inventory, and excess displacement. Of these many factors, the largest waste is caused by the defect factor of the tomato sauce type product which is runny and too acidic, because the operator does not follow the existing SOP with an RPN value of 392.
No-Wait Flowshop Permutation Scheduling Problem : Fire Hawk Optimizer Vs Beluga Whale Optimization Algorithm Muhammad Aghniya Baihaqi; Dana Marsetiya Utama
Jurnal Ilmiah Teknik Industri Vol. 22, No. 1, June 2023
Publisher : Department of Industrial Engineering Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/jiti.v22i1.21128

Abstract

No-Wait Flowshop Permutation Scheduling Problem (NWPFSP) is a scheduling problem that states that every job completed on machine n must be processed immediately on the next machine. The NWPFSP problem is an extension of the flowshop problem. This article proposes two new algorithms fire hawk optimization and beluga whale optimization, to solve the NWPFSP problem and minimize makespan. The two new algorithms developed to solve the NWPFSP problem are tested on three different cases. Each algorithm was run 30 times and was compared using an independent sample t-test. The results were also compared with the Campbell Dudek Smtih algorithm. In addition, the effectiveness of the FHO and BWO algorithms was assessed against the CDS algorithm using the Relative Error Percentage (REP) method. The results show that the FHO and BWO algorithms are better at solving NWPFSP problems when compared to the CDS algorithm. However, the BWO algorithm is more recommended in cases with large data because it can provide better results.
Analysis of Beef Halal Critical Points with Halal Logistics Approach and Risk Management Nabila Noor Qisthani; Syarif Hidayatuloh; Yulinda Uswatun Kasanah
Jurnal Ilmiah Teknik Industri Vol. 22, No. 1, June 2023
Publisher : Department of Industrial Engineering Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/jiti.v22i1.20617

Abstract

The increase in the number of certified halal products shows the Indonesian people's increasing level of awareness of the halalness of a product. In addition, people are also increasingly curious about all the activities involved along the supply chain to ensure whether the products they buy are genuinely halal. One of the consumer products that need to be traced to the halal supply chain is beef products because there is a risk of contamination throughout the supply chain from raw materials, production processes, distribution, storage and handling. Calculation of risk in this study will use the House of Risk (HOR) method. This research focuses on the process of inbound and outbound logistics and the beef slaughtering process at the Purwokerto Slaughterhouse. The results of this study obtained 26 risk events and 28 risk agents. Based on risk mapping using phase 1 and Pareto HOR diagrams, 11 risks are prioritized based on the highest ARP values, namely A15, A25, A19, A7, A5, A28, A6, A2, A16, A17, and A21. Moreover, it made 14 recommendations for mitigation actions that the company can apply to control these risks.
Design of a Digital Logistics System for Cabya (Piper retrofractum Vahl) Commodities to Optimize Export Needs Issa Dyah Utami; Mu'ammal Syauqi
Jurnal Ilmiah Teknik Industri Vol. 22, No. 1, June 2023
Publisher : Department of Industrial Engineering Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/jiti.v22i1.21663

Abstract

Madura Island has a variety of quality crops, such as medicinal plants, one of which is Cabya (Piper retrofractum Vahl). The need for Cabya for exports is enormous, but Indonesia can only meet the demand for about a third. The highest production of Cabya is in East Java, especially in Madura. This research proposes a digital logistic system to forecast demand for Cabyaexports and manage Cabya stocks through forecasting yields and inventory management processes. The research was conducted in Sumenep regency that produce the highest number and the best quality Cabya in East Java. The Markov Chain method forecasts yields for the next five years. Then Forecasting results are integrated with an information system to manage the logistics of Cabya. The logistics system resulting from this research can be used by the government and export managers of Cabya to optimize the demand for Cabya exports. Further research can be carried out by integrating Inventory control methods to improve the logistics system's accuracy and calculate the inventory's total cost.

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