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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 766 Documents
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Factor Analysis and Model of Intention to Adopt Induction Stove Halim Qista Karima; Dina Rachmawaty; Ade Yanyan Ramdhani
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.v22i1.20598

Abstract

Household dependency on Liquified Petroleum Gas (LPG) gas increased Indonesian LPG imports. Therefore, the government encourages the conversion of LPG to induction stoves. However, induction stove users are less than LPG users. LPG stoves, electric stoves, and induction have their advantages and disadvantages. Consumers have different behaviours/responses to each change because each consumer has a diverse/heterogeneous character. This study analyzes the factors influencing consumer intentions to adopt an induction stove. The method used in determining factor analysis is the Structure Equation Model (SEM). The SEM method can model a causal relationship with a complex problem and determine the percentage of influence. The analysis found that the intention to adopt an induction stove was significantly influenced by subjective norm (SN), perceived behaviour control (PBC), and attitude toward behaviour (ATT). PBC is affected considerably by Speed, Maintenance, Cost, and Product Safety. ATT is significantly affected by Speed, Cost, Maintenance, and Security. Alternative penetration policy can be carried out on product heating speed, cost, and product maintenance, which are the variables that most significantly influence the adoption of induction stoves.
Redesigning Food Packaging Using Kansei Engineering Method : Case Study at Griya Produksi SME Hapsoro Agung Jatmiko; Afan Kurniawan; Rizki Ma’arif
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.v22i1.21563

Abstract

Food Packaging plays an important role in food industry, as it is not only to protect the food within, but also as a mean of advertisement for the product, a good packaging more or less could improve the awareness of the people to buy more the product. Eggroll Sasha by Griya Produksi SME is one of its best product. Made from sweet potato, the product is known for its taste, but unfortunately the packaging does not represent the taste of the product. Using Kansei Engineering (KE), the current packaging is being redesigned in order to elevate the aesthetics and to inform the customer about the existence of the product. The respondent of this research are people who reside in 3 district around Griya Produksi’s Factory, and the one who already purchase or eaten the product. The output of this research is the brand new redesigned package for the eggroll
Robust Multi-Objective Optimization Model for the Integration of Blood Production and Distribution Planning Shearly Christina Tanjung; Eric Wibisono; Dina Natalia Prayogo
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.v22i1.20115

Abstract

Blood is a very important element for humans. Currently, The Blood Transfusion Unit of The Indonesian Red Cross in City “X” determines the amount and type of blood to be processed based on stock availability. This method tends to be subjective so that the possibility of error in production decision is fairly high. This research intends to manage that the blood processing process and allocation can be carried out optimally and on target. The research objectives are to minimize the number of blood shortages, expired blood, and the total costs incurred, by applying a robust optimization method that considers the uncertainty of blood demand and the disturbances in the blood production process. Pass data of demands will be used for forecasting demand in the planning period. The forecast results can be adjusted to current conditions using the adjustment ratios. The robust optimization method can produce decisions that tend to be stable even when there are changes in blood demand. The results obtained in this study were 24% decrease in the number of shortages of blood stock, 88% decrease in the amount of expired blood, and 96% decrease in the overproduction cost.
Identifying Risks on Human Activities in Power Plants During The COVID-19 Pandemic Rahmah, Adinda Syafira; Ambarwati, Rita; Sumartik, Sumartik; Dedy, Dedy
Jurnal Ilmiah Teknik Industri Vol. 22, No. 2, December 2023
Publisher : Department of Industrial Engineering Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/jiti.v22i2.22469

Abstract

The situation caused by the pandemic has prompted every company to protect the safety of its employees. The energy/electricity industry cluster continues to operate despite the need for social restrictions in several locations, including the East Java power plant. This study identifies the risks of human activities at power plants throughout the COVID-19 pandemic. This study used quantitative data information gleaned from interviews, observations, and questionnaires. This research a technique that combines Failure Mode Effect Analysis (FMEA). Of the 17 activities carried out in the risk analysis using the FMEA method, the activities that show the five locations with the highest RPN scores are the workshop, warehouse, administration building, Coal Handling Control Building [CHCB], and employee training. We will integrate this analysis with the risk analysis that has been prepared previously by the applicable administrative regulations. Human resource risk management is concerned with enhancing productivity among workers by lowering days ignored because of a lack of jobs. The results can serve as recommendations for evaluating COVID-19 risk management and preventive measures in power generation companies.
Improving Education Efficiency by Improving Student Retention (Comparing Students in The Field of Engineering with Economics In An Indonesian University) Talar, Yulianti; Gozaly, Jimmy; Wirawan, Christina; Aprilia, Fiona
Jurnal Ilmiah Teknik Industri Vol. 22, No. 2, December 2023
Publisher : Department of Industrial Engineering Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/jiti.v22i2.22526

Abstract

Universities play a vital role in human resource development. However, the dropout rate at many universities remains high that suffers education efficiency and effectiveness. This study examines factors that affect student retention to find a suitable approach. In this article, we compare engineering and economics students to see whether any variations in the characteristics impact student retention across these two fields. This knowledge sharpens ways to increase student retention rates. The research was conducted quantitatively using a questionnaire. Data were processed by discriminant analysis, crosstabulations, and descriptive statistical methods. The results found that different factors affect engineering and economics students’ retention. GPA and student satisfaction with close social relationships with fellow students were shown to be the determining variables for engineering students’ retention. Meanwhile, student satisfaction with lecturer feedback on course progress and student confidence to graduate on time are drivers of economics students’ retention.
Job Stress Analysis for Lathe Machine Operator Based on Human Physiological Feedbacks Lukodono, Rio Prasetyo; Efranto, Remba Yanuar; Ardianwiliandri, Raditya; Latifani, Olivia; Choiriyah, Miftakhul
Jurnal Ilmiah Teknik Industri Vol. 22, No. 2, December 2023
Publisher : Department of Industrial Engineering Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/jiti.v22i2.22319

Abstract

Job stress is a circumstance that every employee could faces in performing their job. They tend to deal with it differently according to their own way. It is basically a mismatch between the individual capabilities and organizational demand. The existing employees must exert their ability to complete their tasks in order to fulfilling the organization’s demand. One of the major sources of job stress is excessive workload. Every workload received by employee must fit and balanced with the physical and mental abilities of the employee so that there will be less fatigue and stress that could affect the employee’s performance. This study aims to evaluate the workload for the human physiological feedback. The physiological feedback was evaluated based on the activity while operator using lathe machine. The physiological feedback is based on integumentary activities and cardiovascular activities. The results of this research showed that the operators of the lathe machine operator physiological feedbacks has significant correlation with the Galvanic skin response (GSR). All of indicators such as Heart rate (HR), systole, diastole, and body temperature has positive correlation with the GSR values. Moreover, for noise indicators also has positive correlation with the GSR. This mean that the enviromental condition which represented by noise evaluation has significant correlation with the stress.
Analysis of the Implementation of Hazard Identification, Risk Assessment and Risk Control (HIRARC) in the Work Environment Against Work Accidents (Case Study of PT XYZ) Siregar, Ivana Maretha; Larasati, Aisyah; Muid, Abdul
Jurnal Ilmiah Teknik Industri Vol. 22, No. 2, December 2023
Publisher : Department of Industrial Engineering Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/jiti.v22i2.22810

Abstract

PT XYZ, an aluminum smelting industry with high temperatures, has faced many near misses and accidents. This study aims to improve risk evaluation by analyzing the effect of the implementation and understanding of HIRARC on work accidents through the work environment. Data were collected from 179 respondents in the production section using purposive sampling and analyzed using the structural equation modeling method. The research results show that the implementation of HIRARC has a significant effect on the work environment, while the understanding of HIRARC is not significant. HIRARC implementation also affects work accidents, while the understanding of HIRARC is not significant. The work environment also influences work accidents. HIRARC implementation has an indirect effect through the work environment as a mediating variable, while understanding HIRARC has no indirect effect through the work environment. The recommendations proposed include installing blowers or shady areas with drinking water stations, using PPE, developing easy-to-understand OSH regulations and procedures, as well as implementing regular training, monitoring and evaluation.
Preventive Maintenance Analysis Using Monte Carlo Simulation and Failure Mode and Effect Analysis (FMEA) Afdal, Zulfani Aflah; Linarti, Utaminingsih
Jurnal Ilmiah Teknik Industri Vol. 22, No. 2, December 2023
Publisher : Department of Industrial Engineering Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/jiti.v22i2.21900

Abstract

Filter - 2321 is one of the critical components in the production department III A phosphoric acid plant of PT Petrokimia Gresik. Critical components mean that if the filter-2321 is damaged, the production process will stop (Shutdown). Filter-2321 is the highest damaged component that affects the production process is stopped, therefore this study was conducted in order to analyze the causes of failure and improve the value of reliability by using monte carlo and FMEA simulation methods. The first step is to calculate the actual reliability value to determine the effectiveness of the maintenance system that has been implemented by the company. Furthermore, monte carlo simulation reliability simulation and determine the preventive maintenance interval, thus increasing the reliability of the filter-2321. FMEA is used to analyze the cause of the damage and determine the RPN (risk priority number) in failure mode. the results of this study is the value of the actual reliability of the filter-2321 of 30.8264% with MTBF of 1050.99 hours, this value is still too far from the value of the reliability of SII (Indonesian industrial standard) of 70%. The result of RPN (Risk Priority Number) assessment obtained from failure mode and effect analysis is, that the highest value is found in the damaged torque module of 135 and failure mode bearing fix damaged of 135. The suggestion to increase the reliability value is to perform preventive maintenance at intervals of 438.60 hours to increase the reliability value, taking into account the results of the analysis of the causes of the damage that occurred using FMEA.
Causal Inference to Predict Delayed Arrival of Ordered Production Materials at PT. XYZ Hanura, Muhammad Ridzky; Priyandari, Yusuf; Hisjam, Muhammad
Jurnal Ilmiah Teknik Industri Vol. 22, No. 2, December 2023
Publisher : Department of Industrial Engineering Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/jiti.v22i2.23020

Abstract

PT XYZ has a problem with the delayed arrival of ordered production materials. Although the company is aware of the delays based on data, the company does not yet know the causes or sources of problems that cause delays. On the other hand, not all factors can be controlled to reduce the delay in the arrival of production materials. The company intends to predict the change in delay time if control or intervention is carried out on certain factors by utilising data availability. The factor to be treated is requisition-to-order lead time A causal inference model is used using the Dowhy library (a Python library for causal inference by graphing the model, quantitatively evaluating causal effects, and validating the causal assumptions) to estimate the quantitative causal effect between requisition-to-order lead time and the arrival time of the ordered material by considering other factors that also affect the delay. The results of the causal effect estimation are that by intervening or controlling the requisition-to-order lead time factor by one day, there is a decrease in the average delay in material arrival time by one day
Integration of Lean Six Sigma and Theory of Inventive Problem Solving for Minimizing Waste in Shuttlecock Industry Renggarsari, Rika Risma; Garside, Annisa Kesy; Rosiani, Tyas Yuli; Saputro, Thomy Eko
Jurnal Ilmiah Teknik Industri Vol. 22, No. 2, December 2023
Publisher : Department of Industrial Engineering Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/jiti.v22i2.23012

Abstract

In today's competitive business world, organizations are striving to improve their operations and stay ahead. Lean Six Sigma is a popular approach that helps optimize processes and reduce waste. This research focuses on using Lean Six Sigma and TRIZ together to reduce waste in the shuttlecock industry. The study uses a structured process and tools like Value Stream Mapping and Fault Tree Analysis to find and solve waste issues. The results show problems like unnecessary activities, delays, and defects in the production process. Using TRIZ, suggestions for improvements are made based on the analysis. This study shows that combining Lean Six Sigma and TRIZ can effectively reduce waste and improve processes. The findings add to our understanding of using these methods in the shuttlecock industry and offer insights for future research and improvements.

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