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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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Productivity Analysis Using the Multi Factor Productivity Measurement Model (MFPMM) as an Effort to Increase Competitiveness (Case Study: WL Alumunium Yogyakarta) Grita Supriyanto Dewi; Khairun Nadiyah
Journal of Industrial Engineering and Halal Industries Vol. 3 No. 2 (2022): 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.3785

Abstract

It is known that the national economy is dominated by Cooperatives and Small & Medium Enterprises (SMEs), this proves that Cooperatives and SMEs have competitiveness and potential that must be maintained. WL Aluminum is an SME located in the Yogyakarta area which is engaged in the metal casting industry with products that include frying pans, citel, pans and other kitchen utensils. In order for a business to survive and continue to grow, it must be able to compete by preparing various strategies so that the products it produces will always exist in the market. One form of strategy that can be used is by measuring the company's productivity. This is used to determine the extent to which the effectiveness of the product produced and the efficiency of the use of available resources. Several variables that affect productivity include raw materials, energy and labor. The purpose of this research is to find out what the productivity index (PI) is for WL Aluminum using the MFPMM, and to find out whether there is an influence between the profitability received by WL Aluminum and productivity and price changes using the Multiple Linear Regression method. The results of productivity calculations using the MFPMM show that PI was in a row October-November 2015, November-December 2015; December-January 2016; January-February 2016; February-March 2016; March-April 2016; April-May 2016 of 1.0064; 1.2370; 0.8545; 0.9016; 0.9607; 1,1,068; 0.7348. The results of the mathematical equation using Multiple Linear regression are profitability (Y): -0.952+ 1.001 productivity (x1) + 0.951 price recovery (x2). Testing with the F test shows that the calculated F value is 1401891.948 with a significance value of 0.000 <0.05. This proves that profitability is influenced by productivity and price changes.
Achieving Sustainability in Manufacturing Micro, Small and Medium Enterprises (MSMEs’) in Tanzania Through Adoption of Solar Energy: Solar energy adoption by manufacturing MSMEs in Tanzania Felichesmi Lyakurwa
Journal of Industrial Engineering and Halal Industries Vol. 3 No. 2 (2022): 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.3853

Abstract

Globally, energy demand has increased significantly whereby consumption of nonrenewable energy is dominant. The reliance on nonrenewable energy sources, not only threatens the efforts to achieve the stated Sustainable Development Goals but also affects community’s participation in the economic activities. The increased concern over resource depletion, and environmental impacts, has suggested future reliance on renewable energy. Tanzania has high levels of solar energy, whose exploitation could contribute significantly to energy access. Despite the benefits of renewable energy use, studies to establish factors for energy choice by manufacturing Micro Small and Medium Enterprises (MSME’s) in Tanzania are inadequate. Hence, this study intended to establish the dominant factors for the choice of solar energy by manufacturing industries, and workers perceptions about sustainable manufacturing practices. A cross sectional survey research design was employed whereas questionnaires were used to collect data (n = 236) from employees working in the manufacturing MSMEs’ in the selected districts in Morogoro region. A descriptive, Confirmatory Factor Analysis (CFA) and a multinomial probit (MNP) model were employed to establish the dominant factors for the solar energy use. The MNP results (tested at: 95% confidence level) indicated that not expensive energy source (Pvalue = 0.01) and other factors, including availability of solar appliances (Pvalue = 0.02) have significant influence on industry’s choice of solar energy, while choice of hydro-electricity was significantly influenced by not expensive (Pvalue = 0.01) and advised to use energy source (Pvalue = 0.001). Easy access (Pvalue = 006), and not expensive energy source (Pvalue = 0.001) were found to have significant influence on the use of fossil fuels. Also, the CFA results indicated that all factors i.e., environmental, social, and economic have significant influence on the workers perception about sustainable manufacturing practices. The results therefore, provides critical information to policy making institutions in Tanzania to make informed decisions on the formulation of national strategies that attracts use of renewable energy for manufacturing sustainability.
Child Friendly Markets As A Means Of Public Learning Space For Children: Case Study at Kowen Market, Sidokarto, Godean, Sleman, DIY Dien F Awaliyah; Dinik Fitri Rahajeng Pangestuti; Ihsan Pandu Tauladan; Anifa Nurhayati; Wahyu Lisma Siami
Journal of Industrial Engineering and Halal Industries Vol. 3 No. 2 (2022): 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.3998

Abstract

The child-friendly market is one of the programs that has begun to be developed in several markets in Indonesia. This program was designed to meet the needs of a safe, comfortable, and accessible environment for families, where children can play, learn, and interact with others while their caregivers carry out buying and selling activities. Child-friendly market is one of some agenda that support Sleman regency to withstand as a Child Friendly City and as a market that located in Sleman regency, Kowen market have the amenability to construct its environment as a child friendly market. Therefore, the aim of this study is to provide material for consideration for policy makers, in this case the management of Kalurahan Sidokarto in the discourse on establishing a child-friendly market at Pasar Kowen. This study is conducted with qualitative method that will be developed in an analytical descriptive manner. Researchers collected data through field research and literature research by applying a sociological approach to produce accurate data.
Forecasting Demand for Electric Batik Stoves Using Moving Average Method in CV. A B C Gunawan Budi Susilo
Journal of Industrial Engineering and Halal Industries Vol. 3 No. 2 (2022): 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.3999

Abstract

Today's economic problems cause companies to be able to manage finances. For companies engaged in production, it is essential to manage finances so that the company does not experience losses. To overcome this, companies need to make optimal production and demand planning. Demand planning, in general, is better known as forecasting. The single-moving average method uses actual demand data to generate forecast values for future demand. This method will be effectively applied if the product's market demand remains stable. This method has two unique properties: making a forecast requires historical data within a certain period, and the longer the moving average, the smoother the moving average will be. The results showed three samples of stoves, namely, type A-AS001 with a MAD value of 118.16, an MSE value of 44015.27, and a MAPE value of 3.93. The type A-AS002 stove shows a MAD value of 7.81, an MSE value of 92.23, and a MAPE value of 0.27. The type A-SD001 stove has a MAD value of 16.16, an MSE value of 550.75, and a MAPE value of 3.72.          
Seller Perception Analysis on Purchase Decision Using Analytical Hierarchy Process Method : (Case Study: ABC Store) Khusna Dwijayanti
Journal of Industrial Engineering and Halal Industries Vol. 3 No. 2 (2022): 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.4000

Abstract

Purchasing decisions can be used as a competitive advantage for companies or retailer. Purchasing decisions are important aspects of consumer behavior to determine or make a decision whether to buy a product or not. Price, product quality, service quality, and social media promotion can be good strategies to win over existing competitors. There are many studies on consumer perception, and a few studies on seller perception. Therefore, this study aims to analyze the effect of price, product quality, service quality, and social media promotion on purchasing decisions at ABC Store by measuring the perceptions of the sellers. The questionnaires in this study are given to sellers and marketing managers who are experienced in selling the product. The analysis conducted using Analytical Hierarchy Process (AHP). The results of this study indicate that from the perception of the seller, the order of importance that influences the purchase decision for gadget at ABC Store is social media promotion 30%, price 28%, product quality 26%, and lastly service quality 15%.
A Tabu Search Algorithm for Optimization of Blood Distribution Routes Agus Mulyadi; St. Nova Meirizha; Ari Andriyas; Irsan Pratama
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

Abstract

PMI Blood Transfusion Unit (UTD PMI) is an agency that provides or a health service agency that organizes blood donation and blood supply. The observations and interviews showed that some existing cases were not carried out immediately and accurately, and there was no distance to align the duration with blood cells. The formation of blood distribution routes only stems from the highest number of requests and the delay in the distribution in several hospitals. Therefore, it is necessary to determine vehicle routes to meet demand due to the limited number of vehicles. The distribution time limit is another obstacle in the distribution process due to delays in delivering blood products from UTD to hospitals or hospital blood banks. In this study, the CCVRPTW solution was determined using a metaheuristic algorithm, namely the Tabu Search algorithm, to minimize blood distribution routes and distances at UTD PMI Pekanbaru. The solution for blood distribution is solved using a programming language through MATLAB software based on the Tabu Search algorithm. Based on the study results, the route 0-1-14-8-18-6-2-17-11-10-4-3-15-9-5-7-16-19-12-13-0 with a distance of 55, 9 KM in 67.1 Minutes. The initial distribution route is 0-1-2-6-5-4-3-7-17-8-13-11-12-14-16-15-18-9-10-19-0 with a distance of 130.7 KM in 156.8 minutes. UTD PMI uses one coolbox with 100 bags of blood capacity, but there is a delay because it only uses one vehicle. The optimized route is divided into two routes: car 1 has a route of 0-1-14-8-18-6-0 with a total distance of 9.2 KM, and car 2 has a route of 0-2-17-11-10-4 -3-15-9-5-7-16-19-12-13-0 with a total distance of 50.6 KM
Innovation Tourism Information System to Support Post-Covid-19 Health Protocols and Halal Tour in The Special Area of Yogyakarta Trio Yonathan Tejakusuma; Arya Wirabhuana; Izra Berakon
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

Abstract

Yogyakarta is one of the regions in Indonesia whose tourism sector has been affected by the Covid-19 pandemic. All tourism actors, especially onAlmost none of the MSME and informal sectors can escape the economic downturn due to the Covid-19 pandemic. They lost their income because tourist visits dropped by almost 100 percent. This is very worrying because it is known that Yogyakarta is one of the cities which is a tourist destination in Indonesia. The reopening of tourism objects after Covid-19 has become a momentum and turning point in promoting and developing the potential for halal tourism in DIY. The establishment of DIY as one of the National Priority Halal Destinations by the Ministry of Tourism in 2018 prompted the DIY government to encourage tourism actors such as restaurants and hotels to take part in halal certification from the Indonesian Ulema Council to ensure and increase consumer confidence in the halal tourism services provided.In general, the problems that are the object of discussion and are resolved within the scope of this research include identifying indicators that must be considered in developing tourism in DIY so that it complies with the Covid-19 Health protocol and the concept of Halal Tourism. In addition, it will also determine the characteristics of the Tourism Information System needed by Stakeholders in order to be able to support the implementation of the Covid-19 Health Protocol in the "New Normal" era and the implementation of Halal Tourism as a promising option. And finally in this research will also provide a proposal for a prototype / Information System Innovation that can be used and replicated by stakeholders in the Tourism sector, especially in DI Keyword : ProtocolHealth, Covid-19 Pandemic, Halal Tourism, Tourism Information System
Layout Design and Product Bundling Strategy Using Overall Variability of Association Rules (OCVR) Method Cahyono Sigit Pramudyo
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

Abstract

Alfazzamart is a minimarket that sells various daily needs. For several months, the number of transactions per month at Alfazzamart fluctuated. Alfazzamart owners want to achieve sales targets so that profits increase. This is a challenge for employees to determine the right product bundling strategy and product layout according to buyer behavior. Therefore, this research was conducted to provide product bundling strategies and layout suggestions based on buyer behavior. This study uses the OCVR method to determine consistent purchasing patterns in each period. Based on this method, the results of the OCVR method are used as a reference in product bundling and product layout. Data processing was carried out following CRISP-DM. Based on the findings of this study, 17 bundling packages were obtained that could be implemented. Bundling package offers can be made by placing the product on the promo shelf or by the cashier offering product bundling recommendations directly. In addition, regarding the proposed change in product layout, it can be done by bringing noodle products closer to snack and soft drink products, swapping the location of bread products with syrup, bringing wafer products closer to candy products, and bringing toy products closer to ice cream so that empty shelves can be filled with accessories.
Measurement of Machine Effectiveness Using the Overall Equipment Effectiveness (OEE) Value Approach on the BX-75 Machine (A Case Study) Indro Prakoso; Denny Andiya Nur Wibowo
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

Abstract

PT XYZ is a company engaged in the pipe industry with various types of HDPE pipe products according to consumer needs. PT XYZ has problems with the BX-75 engine because it has a high breakdown value and is obtained from historical production data. The high breakdown caused the production process of the BX-75 engine to be hampered and the daily production target was reduced. To determine the effectiveness of the BX-75 engine, measurements using the Overall Equipment Effectiveness (OEE) method are needed. The research was conducted using the OEE method to identify whether it is in accordance with world class standards, if the OEE value is still low, a Six Big Losses analysis will be carried out from the pareto chart which will determine what losses affect the low OEE value and analyze the details of the causes of each fishbone diagram. The average OEE value on BX-75 machines in November-December 2022 was 78.86%. The result is still below 85% so six big losses analysis is still needed. There are two types of losses that dominate, namely downtime losses and setup & adjustment losses. Downtime losses have an average loss of 13.50% and setup losses have an average of 9.53%.
Permutation Flowshop Scheduling in ED Aluminium Using Metaheuristic Approaches Haposan Vincentius Manalu; Fatiha Widyanti; Nur Mayke Eka Normasari; Andiny Trie Oktavia; Achmad Pratama Rifai
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.3003

Abstract

This study proposes metaheuristics to solve the permutation flowshop scheduling problem in ED Aluminium which produces kitchen utensils. The aim is to find the processing sequence of products that results in the shortest total completion time, minimizing makespan and total flowtime. Three metaheuristics are developed, which are Simulated Annealing (SA), Large Neighborhood Search (LNS), and Ant Colony Optimization (ACO). Experiments are performed in this research to evaluate the three algorithms. The result using the simulated annealing algorithm is considered better because it has a shorter makespan. The contribution of this study is developing Simulated Annealing, Large Neighborhood Search, and Ant Colony Optimization to solve the problem.

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