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Khusna Dwijayanti
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Department of Industrial Engineering UIN Sunan Kalijaga Yogyakarta Jl. Laksda Adisucipto Yogyakarta 55281
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INDONESIA
Journal of Industrial Engineering and Halal Industries
Published by Universitas Islam Negeri Sunan Kalijaga Yogyakarta
ISSN : 27228150     EISSN : 27228142     DOI : https://doi.org/10.14421/jiehis.3.1.2022
Core Subject : Religion, Science, Engineering,
Religion Decision Sciences, Operations Research & Management Engineering Industrial & Manufacturing Engineering
JIEHIS aims to improve the academic atmosphere in the publication of scientific papers in industrial engineering and halal issues in the industrial world. This journal is open for publics, researchers, students, lecturers and academics staffs from all countries. We cover wide range areas within Industrial and Systems Engineering Body of Knowledge including work design and measurement, operation research and analysis, engineering economic analysis, facilities engineering and energy management, quality and reliability engineering, ergonomics and human factors, operations engineering and management, supply chain management, engineering management, safety, information engineering, design and manufacturing engineering, product design and development, system design engineering, and other related topic. Futher topics related to halal industries are very welcome.
Arjuna Subject : Teknik (semua kategori) - Tenik Industri dan Manufaktur
Articles 78 Documents
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Rest Time Analysis Based on Operator's Workload Using a Physiological Measures at PT. Amanah Insanillahia Maria Isfus Senjawati; Khairun Nadiyah; Diego Arya Permana
Journal of Industrial Engineering and Halal Industries Vol. 4 No. 2 (2023): Vol. 4 No. 2 December (2023): Journal of Industrial Engineering and Halal Indus
Publisher : Industrial Engineering Department, Faculty of Science and Engineering, UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/jiehis.4201

Abstract

Amanah Insanillahia is a manufacturing company that produces bottled drinking water (AMDK). The high demand for drinking water production at PT Amanah Insanillahia requires workers to do their work as much as possible in order to achieve the targets desired by the company. In addition to the targets to be achieved, the company must also pay attention to the operator's workload. Workload related to physical fatigue will reduce performance and increase errors at work. This study aims to determine the operator's rest time using a physiological approach. The method used is quantitative with data collection carried out directly. The object of research is the population of employees in the 220 ml packaging station. Heart rate measurement is done by utilizing the 10-beat method. The results show that the value of K < S, the energy expended during work is less than the standard value of energy expended (men = 5 kcal/min, women = 4 kcal/min), then Rt = 0. This means that the rest time provided by the company is adequate, so there is no need for additional resting time at the 220 ml packaging station.
Waste Reduction Analysis with Lean Manufacturing Approach Eulis Yulianti Faridah; Trio Yonathan Teja Kusuma
Journal of Industrial Engineering and Halal Industries Vol. 4 No. 2 (2023): Vol. 4 No. 2 December (2023): Journal of Industrial Engineering and Halal Indus
Publisher : Industrial Engineering Department, Faculty of Science and Engineering, UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/jiehis.4218

Abstract

UPT Logam Yogyakarta is one of the manufacturing industries engaged in metal casting services. UPT Logam Yogyakarta has the status of a Regional Business Service Agency so that this company has the capacity to receive requests from local and foreign consumers. One of the requests produced is the product Panasonic Downlight NN511. The problem that occurs in this company is the waste that occurs in the production process which results in losses to the company because the production output is not optimal. This can be indicated from the capacity of the production machine in the form of a sophisticated automated die casting machine with the ability to produce a Panasonic Downlight NN511 product per 45 seconds that cannot be utilized optimally, due to an unbalanced production path caused by waste and non-value added time. As a result, the production capacity of 1040 pcs per day cannot be achieved, and is only able to produce at the rate of 200-300 pcs. As a calculation reference to determine the degree of accuracy, a adequacy and uniformity test of the data will be carried out, then calculate the rating factor and determine the allowance for the calculation of normal time and standard time. After testing and adjusting the data with the factor rating and allowance, it was found that there was a cycle time that was greater than the taktime, it explained that the metal UPT had to reduce the cycle time at the finishing and packaging stations to be able to meet customer demands. One of the large proportions of waste is the waiting time in the production process. The analysis to determine the root cause of the problem is carried out using a fishbone diagram. To optimize available resources and increase production efficiency, several continuous improvements are needed in the flow pattern of the Panasonic Downlight NN511 production process. balancing, compiling the layout using Activity Relationships Chart, and collapsing diagrams. From these improvements, it is hoped that Yogyakarta Metals UPT in producing the Panasonic Downlight NN511 can achieve a higher level of productivity.
Work Analysis of An Assembly Operation Using Therbligs Anh Le
Journal of Industrial Engineering and Halal Industries Vol. 4 No. 2 (2023): Vol. 4 No. 2 December (2023): Journal of Industrial Engineering and Halal Indus
Publisher : Industrial Engineering Department, Faculty of Science and Engineering, UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/jiehis.4232

Abstract

This study aims to analyze an assembly operation using work analysis technique. The LED bulb assembly operation is studied because it is labor-intensive manufacturing. This operation requires highly repetitive motions of two hands of worker. Therbligs represent motions when worker assemble the parts. Therefore, Therbligs are used to analyze the movements of worker in this study. The results shown that the ineffective motions such as search, select and hold can be minimized or eliminated by using fixture and rearranging workstation.
Raw Material Inventory Control on Probabilistic Demand and Lead Time Using Continuous Review System Ali Parkhan; Imam Djati Widodo; Erlangga Fausa; Qurtubi
Journal of Industrial Engineering and Halal Industries Vol. 4 No. 2 (2023): Vol. 4 No. 2 December (2023): Journal of Industrial Engineering and Halal Indus
Publisher : Industrial Engineering Department, Faculty of Science and Engineering, UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/jiehis.4277

Abstract

Excess inventory will lead to high inventory costs caused, among others, by damage and possible loss of stored goods embedded capital; on the other hand, a list is needed to ensure fulfillment of needs and reduce demand fluctuations and supply fluctuations to avoid loss of profit opportunities. This study aims to manage the uncertainty of usage and lead time in a wooden toy company, which can result in an excess or shortage of raw materials in the inventory system. It is necessary to control inventory to ensure optimal inventory; that is, needs can be met with minimal inventory costs and adequate service levels. The result, optimal condition is achieved if the company orders wood when the amount of inventory is (r) = 24,422 units with an order quantity of (Q) = 10,010 units each time you place an order, with a total inventory cost in 2023 of IDR 362,156,168, this policy will result in a service level (η) = 95.14%.
Bibliometric Insights into Halal Retail: Mapping of Research Trends Prita Nurkhalisa Maradjabessy; Roaida Yanti; Qurtubi; Danang Setiawan; Harlina Suzana Jaafar
Journal of Industrial Engineering and Halal Industries Vol. 5 No. 1 (2024): Vol. 5 No. 1 June (2024): Journal of Industrial Engineering and Halal Industrie
Publisher : Industrial Engineering Department, Faculty of Science and Engineering, UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/jiehis.4637

Abstract

This study systematically examines and assesses the existing literature on halal retail to identify trends and emerging areas of interest. It seeks to offer insightful advice for market strategies, policy development, and research opportunities in the ever-changing halal retail sector. The study uses a bibliometric analysis and research mapping approach, employing data from 994 articles sourced from Google Scholar (GS). The data was analyzed using Harzing's Publish or Perish (PoP) to identify current and promising research areas. The study highlights the importance of exploring these trends further and combining them with less explored research areas. The relatively limited research in halal retail over the past decade is also noted, presenting a timely opportunity for deeper investigation. Originality lies in its comprehensive bibliometric analysis of the halal retail sector over a decade. It provides a unique perspective on evolving trends and emerging research areas, offering a valuable resource for scholars, market strategists, and policymakers interested in the halal market. Practical implications are significant for market strategists and policymakers in the halal retail sector. By identifying current trends and gaps, the study provides insights that can inform strategic decisions, enhance market positioning, and drive policy development to support the growth of halal retail.
The Effect of Proximity on The Layout and Selection of Chair Types in The Coffee Shop Industry Eulis Yulianti Faridah; Riza Septriani Dewi
Journal of Industrial Engineering and Halal Industries Vol. 5 No. 1 (2024): Vol. 5 No. 1 June (2024): Journal of Industrial Engineering and Halal Industrie
Publisher : Industrial Engineering Department, Faculty of Science and Engineering, UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/jiehis.4648

Abstract

The coffee shop industry has become part of modern urban life. One of the most significant impacts of the coffee shop industry on local communities is its role as one of the catalysts for economic development. It not only provides employment opportunities but also serves as an incubator for small businesses and entrepreneurs. Coffee shops are one type of restaurant that is smaller or specific in scope, in terms of the food and beverages served, usually with limited food choices. Because of this, this coffee shop is usually used as a place to talk, gather or just spend time. In essence, coffee shops are often used by people to relax, not as a special place to eat. Therefore, the design of this kind of place should be made more cozy, with the selection of elements that form the atmosphere of the room that must be considered, such as walls, floors, ceilings, lighting, furniture used, especially the selection of chairs. The chair is an element of the room that will be in direct contact with humans, so its selection will greatly affect the activities carried out by humans. The selection of the right type of chair will have an influence on human behavior in public spaces, therefore this research was conducted with a proximity approach. The object of research this time is emphasized on human behavior when interacting with friends, friends, relatives, acquaintances and lovers while in a coffee shop. The research method used in this research is natural obsevation which is qualitative in nature. This qualitative research method is used because the results obtained must be conditions without manipulation. This method is used to find out how different types of chairs affect human behavior in interacting when in different chair settings. The conclusion of this research is that the wrong placement or selection of furniture, especially chairs, will cause visitors to be uncomfortable in it and if the designer is less precise in choosing the type of chair, it can cause an area that is not in demand so that the area is not utilized properly.
Sentiment Analysis of PeduliLindungi User Using Naïve Bayes Classifier Algorithm and Support Vector Machine Rizki Rahmatullah; Jundi Nourfateha Elquthb; Fanya Nindha Al-Qurani; Annisa Uswatun Khasanah
Journal of Industrial Engineering and Halal Industries Vol. 5 No. 1 (2024): Vol. 5 No. 1 June (2024): Journal of Industrial Engineering and Halal Industrie
Publisher : Industrial Engineering Department, Faculty of Science and Engineering, UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/jiehis.4672

Abstract

The Indonesian government is attempting to track the spread of the virus by creating an application named “PeduliLindungi” to deal with the coronavirus's exponential increase in cases across the country. Because it has a feature to disclose the user's location immediately, it is envisaged that this program can reduce the transmission of viruses in monitoring. Indonesians have used the PeduliLindungi, and there are user reviews of both positive and negative experiences. Therefore, to enhance these services, an assessment is required. The text mining method can extract information from users' reviews to collect this data. This method's application additionally uses the Naive Bayes Classifier and Support Vector Machine algorithms, which analyze word associations and do a classification evaluation of the data's accuracy. Based on the two methods' calculations, the NBC algorithm's average classification accuracy was 83.81%, and the SVM algorithm was 93.84%. Following that, discoveries on words that frequently exist or are used by people are obtained through word associations in the sentiment analysis of positive or negative reviews.
Implementation of Class-Based Storage for Garment Accessories Warehouse Management Using FSN Analysis at PT. XYZ Jundi Nourfateha Elquthb; Lulu Riesta Nugroho; Annisa Uswatun Khasanah
Journal of Industrial Engineering and Halal Industries Vol. 5 No. 1 (2024): Vol. 5 No. 1 June (2024): Journal of Industrial Engineering and Halal Industrie
Publisher : Industrial Engineering Department, Faculty of Science and Engineering, UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/jiehis.4677

Abstract

A manufacturing company has a close relationship with warehouse operations, which function as centres for storing and managing raw materials and finished products. Proper operational expertise is essential in warehouse management to ensure that all processes within the warehouse run smoothly. The warehouse is a meeting point for various raw materials with different specifications, making it highly susceptible to mismanagement. In this context, several issues have been identified in warehouse management, such as a lack of space or empty shelves, outdated data recording processes, and improper placement of raw materials. An analysis was conducted to identify accessory items in the warehouse based on their similarities using class-based storage to overcome these issues. In this study, the FSN (Fast, Slow, Non-moving) analysis method was used to determine the grouping of garment accessory items based on their production usage and movement in the warehouse. A total of 37 types of accessory items were identified, with the majority, 23 items, classified as fast-moving, indicated by a high turnover rate above 3. The remaining items were categorized as slow-moving and non-moving, with turnover rates below three due to their lower movement. The turnover rate indicates how often or quickly an item moves and is used (enters and exits the warehouse). Thus, several underlying causes of the issues hindering the distribution process in the garment accessories warehouse at PT XYZ were identified. Subsequently, several recommendations were provided for warehouse management, such as improving the layout according to item grouping and conducting regular evaluations to ensure a balanced availability of space and stock. This strategy is crucial for enhancing workers' productivity in the garment accessories warehouse.
Transforming Tofu Quality Control: Integrating Statistical Process Control, Ishikawa, and Interpretive Structural Modeling for Superior Outcomes: Integrating Statistical Process Control, Ishikawa, and Interpretive Structural Modeling for Superior Outcomes DWI IRYANING Handayani; Qurtubi
Journal of Industrial Engineering and Halal Industries Vol. 5 No. 1 (2024): Vol. 5 No. 1 June (2024): Journal of Industrial Engineering and Halal Industrie
Publisher : Industrial Engineering Department, Faculty of Science and Engineering, UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/jiehis.4685

Abstract

In a highly competitive market, maintaining high product quality is essential for maintaining customer satisfaction and loyalty. Producers are famous in East Java and face the challenge of ensuring consistent quality products through strict production processes. Know that as easy products broken and soft, needy control of careful quality to meet hope consumers about freshness, texture, and quality in a way whole. Although traditional control methods often fail to overcome the production complex that causes a disabled product. This research proposes integrating Statistical Process Control (SPC), Ishikawa diagrams, and Interpretive Structural Modeling (ISM) to improve control quality. SPC makes it possible to monitor and control production processes in real-time, identify deviations, and repair deviations. However, the SPC limitations include a focus on quantitative data and post-incident detection problems. To overcome root problems, the Ishikawa diagram categorizes the reasons for potency as material, machine, method, power work, and environment. ISM prioritizes action repair based on impact and relationship. Approach This integrated approach provides comprehensive solutions to improve the quality of knowledge. In this study, the control process quality was evaluated using SPC, the cause of defects was identified using Ishikawa diagrams, and priority action repair was performed via ISM. Findings show that SPC directly effectively monitors process control, the Ishikawa diagram identifies main defects, and ISM prioritizes impactful action improvements, emphasizes excessive additions to subtraction materials, and improves health workers’ and mixing process material standards. Approach integrated possible identification of additional problems and improved the quality strategic makes a significant contribution to enhancing product quality knowledge.
Design Maintenance System on Mixer Machine to Prevent the Breakdown Using Reliability Centered Maintenance Budhi Santri Kusuma; Mhd. Ardian Syahputra; Roaida Yanti; Dede Ibrahim Muthawali
Journal of Industrial Engineering and Halal Industries Vol. 4 No. 1 (2023): Journal of Industrial Engineering and Halal Industries (JIEHIS)
Publisher : Industrial Engineering Department, Faculty of Science and Engineering, UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/jiehis.4695

Abstract

Equipment, machinery, and labor are fundamental assets of an organization. Therefore, companies must have an appropriate and scheduled maintenance system. However, many manufacturing companies neglect maintenance, leading to frequent machine breakdowns that can result in machine downtime and financial losses. This research aims to determine the machine maintenance interval and the types of actions to be taken. The method employed is Reliability Centered Maintenance with the Failure Mode and Effect Analysis approach to identify failure patterns in a system and formulate the best strategies for designing a maintenance system. The results indicate that the CS-20 Type B mixer is the most critical machine, which can significantly reduce the company's production output due to machine downtime during the repair process. Based on the Reliability Maintenance method, the maintenance interval for components with potential failures is 273.17 hours for the bearing component, experiencing breakdowns three times with the highest damage occurrence within one year.

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