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International Journal of Industrial Engineering and Engineering Management
Published by Universitas Atma Jaya Yogyakarta
ISSN : -     EISSN : 26854090     DOI : https://doi.org/10.24002/ijieem
Core Subject : Engineering,
Industrial & Manufacturing Engineering
International Journal of Industrial Engineering and Engineering Management (IJIEEM) is an open access scientific journal that publishes theoretical and empirical peer-reviewed articles, which contribute to advance the understanding of phenomena related with all aspects of Industrial Engineering and Engineering Management
Arjuna Subject : Teknik (semua kategori) - Tenik Industri dan Manufaktur
Articles 161 Documents
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Designing the Concept and Design Elements of MSME X Room Deodorizer Packaging Using Kansei Engineering and Fuzzy Logic Methods Purnama Sari, Novi; Emaregita Indah Patricia; Siringoringo, Gabriel Angelica Margaretha; Ganjaryadi Yaskur Ramadhan
International Journal of Industrial Engineering and Engineering Management Vol. 7 No. 1 (2025)
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/ijieem.v7i1.8636

Abstract

Air fresheners are comfort-supporting products widely used for room freshness. The packaging used by MSME X for air freshener products is only plain plastic without product identity, and it still has shortcomings in terms of functionality such as product protection, ease of use, and ease of obtaining product information. The purpose of this research is to develop concepts and design elements for MSME X air freshener packaging by considering consumer needs. This study analyzed the design of MSME X air freshener packaging using the Kansei Engineering method to translate consumer perceptions of packaging design. The data obtained was processed using Principal Components Analysis (PCA) to analyze the Kansei words collected by questionnaire to derive design concepts. The Quantification Theory Type 1 (QTT-1) method was also used to measure the relationship between design elements and design concepts. An evaluation was then conducted using the fuzzy logic method to determine whether the design elements used aligned with the selected concepts. The PCA method in this study resulted in 1 selected Principal Component (PC) which was implemented as a concept, namely "Common and Efficient". Determination of design elements using the QTT1 method resulted in selected elements, namely X1.5 (ivory), X2.9 (oval), X3.9 (hanger + window), X4.1 (medium), X5.6 (sliding tray), X7.4 (directly printed on the packaging) for the Efficient concept and X1.2 (rigid plastic), X2.4 (standing pouch), X3.8 (air hole + hanger), X4.2 (small), X5.7 (flip top), X6.4 (fresh + matching aroma) and X7.5 (no design) for the Common concept.
Machine Learning for Anime Recommendation System Using K-Means Clustering Bonifasius Sean Pratama; Elvin Nur Furqon; Natalia, Christine
International Journal of Industrial Engineering and Engineering Management Vol. 7 No. 1 (2025)
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/ijieem.v7i1.9402

Abstract

The increasing popularity of Japanese-origin animation industries or so-called “anime” attracts more interest from already-known fans and ordinary people who are just interested in watching. However, many viewers need advice in the form of recommendations for their preferred anime. This research aims to help viewers by developing a system that could provide some recommendations for several anime series related to the current series watched by the viewers. On the other side, this research could provide a reference to other researchers, especially those whose research focuses on Machine Learning, Artificial Intelligence, and Japanese Animation culture. In this paper, the K-Means Clustering method is used to build the clustering model based on the data series, and the Elbow Method is used to determine the appropriate number of clusters. The result of this research indicates that the system can provide several titles of anime series related to the initial title of the anime series entered by the user at each iteration.
Risk Analysis in Nurses Who Treat Patients with Infectious Diseases in Indonesia Kristyanto, Bernadus; Anindyajati, Adhi
International Journal of Industrial Engineering and Engineering Management Vol. 7 No. 1 (2025)
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/ijieem.v7i1.10071

Abstract

In this global pandemic of infectious diseases such as coronavirus-19 (COVID-19), Indonesia is one country that has a severe impact. In this situation, medical workers are arguably the most affected as they are the frontline in facing the pandemic. Their dedication and professionalism are put to a tough test; hence, they should stay healthy to provide treatment for the patients. However, in fact, many of them are infected by the coronavirus albeit the use of standard protective equipment and application of health protocols. In this study, a risk analysis on nurses working in inpatient wards for COVID-19 patients in quarantine was carried out. A Method of Human Error Analysis and Reduction Technique (HEART) was employed along with Fault Tree Analysis (FTA). The results indicated that fatigue, comorbid, and boredom were the factors associated with the highest risk of virus infection. These results suggest that management should pay attention to these factors in the work design of medical personnel, especially those who treat patients with infectious diseases such as COVID-19. In conclusion, work design must implement appropriate work shifts, as well as the implementation of strict health protocols.
Development of Alternative Energy Transition Scenarios for Electricity Utility Companies in 2045 Using the Scenario Planning Method: Imtihan, Najahul; Rendroyoko, Ignatius
International Journal of Industrial Engineering and Engineering Management Vol. 7 No. 1 (2025)
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/ijieem.v7i1.10125

Abstract

In implementing the energy transition, electricity utility companies must be able to carry out future planning to replace electricity infrastructure from a fossil energy-based generation system to clean energy generation and new renewable energy (NRE) to achieve Net Zero Emission (NZE) conditions by 2060. Term planning. What has often been done so far is to use forecasting methods, which are made by utilizing historical databases and using many assumptions about economic, social, and environmental conditions, as well as other factors that are easily changed and close to uncertainty. Therefore, planning methods must consider possible changes and uncertainties with several possible scenarios. Scenario planning is planning with a strategic approach that focuses on the process, involving finding optimal strategies for several scenarios that can occur, and this method helps deal with uncertainty. This paper explores the development of alternative scenarios that may occur in 2045, using scenario planning to help electricity utility companies capture opportunities and offset threats. It focuses on formulating broad and innovative strategies for the energy transition in the electricity business.
Low Carbon Economic Production Quantity Model for Imperfect Quality Deteriorating Items Daryanto, Y; Wee, H.M.
International Journal of Industrial Engineering and Engineering Management Vol. 1 No. 1 (2019)
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/ijieem.v1i1.2291

Abstract

This paper presents an economic production quantity (EPQ) model for deteriorating items with a certain percentage of defective products due to an imperfect process. The defective products are sold to a secondary market at a discount price. Due to environmental concern and carbon tax regulation, the manufacturer incorporates the control of carbon emission cost into its decision model. Carbon emission cost is a function of electricity consumption during production and inventory storage; it is also dependent on the carbon tax rate. Since the production process results in work-in-process inventory and carbon emission, the study tries to optimize the throughput time. We also examine the effect of carbon tax regulation on the potential emission reduction from the developed deteriorating item model. A numerical example and sensitivity analysis have been provided, and the result confirms the influence of carbon tax regulation in reducing carbon emission.
Proposed Modified Clarke-Wright Saving Algorithm for Capacitated Vehicle Routing Problem Pamosoaji, A.K.; Dewa, P.K.; Krisnanta, J.V.
International Journal of Industrial Engineering and Engineering Management Vol. 1 No. 1 (2019)
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/ijieem.v1i1.2292

Abstract

A multi-objective distribution routing algorithm by using modified Clarke and Wright Saving algorithm is presented. The problem to solve is to deliver loads to a number of outlets based load requirement. The objective function to minimize is the distance saving and traveling time of the resulted route started from depot to the outlets and return to the original depot. Problem to solve is generating a distribution route in a week considering traffic condition for each day. The original Clarke and Wright saving algorithm is modified such that the resulted routes (from a depot to some outlets) accommodates some constraints such as the maximum allowable traveling time, maximum number of delivery shifts, and maximum number of vehicles. The algorithm is applied to a distributor company with nine outlets, two vehicles, and two delivery shifts. In addition, the traffic condition on the outlet-to-outlet and the depot-to-outlet routes is considered. The simulation of the proposed algorithm shows that the algorithm can generate routes that comply with shift’s maximum delivery time and the vehicles’ capacities. 
Inventory Policy for Dependent Demand Where Parent Demand Has Decreasing Pattern Pratama, Y.N.A.; Darmawan, M.; Astanti, R.D.; Ai, T.J.; Gong, D.C.
International Journal of Industrial Engineering and Engineering Management Vol. 1 No. 1 (2019)
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/ijieem.v1i1.2293

Abstract

When a product reaches its maturity in its life cycle, some innovations have to be put in that product in order to lengthen its life cycle. Otherwise, that product will be perceived as obsolete. It might affect the demand of that product i.e. the demand become decreasing. Based on the observation that we conducted over two smart phone brands, the phenomena that the demand has declining pattern really happened in the real situation. In addition, the observation shows that the product life cycle is getting shorter. This implies that the manufacturer has to deal with decreasing demand more often. A case study is presented in this paper, in which manufacturer experienced final product with decreasing demand pattern. Some lot sizing techniques, such as Lot for Lot, Silver Meal 1, Silver Meal 2, Least Unit Cost, Part Period Balancing, and Incremental, are tested to solve the inventory policy for both final product (parent) and its components (child). It is concluded that a company should not consider only one component or one level whenever deciding the inventory policy, i.e. production lot size. It is shown by the case study that the best lot sizing technique for a particular parent of product whenever the company only consider the parent is different with the best lot sizing technique whenever the company consider the parent and its child. For the case presented, it is shown that the smallest total cost of parent and child is most likely occurred whenever Silver Meal 2 lot sizing technique is applied in the parent with decreasing demand pattern. 
Interpretive Structural Modelling for Determining Dominant Success Criteria of Information System (IS) Success at Handycraft SMEs in Yogyakarta, Indonesia Sinaga, B.L.; Purnama, I.L.I.; Astanti, R.D.; Putri, N.T.; Wulandari, N.D.
International Journal of Industrial Engineering and Engineering Management Vol. 1 No. 1 (2019)
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/ijieem.v1i1.2294

Abstract

The purpose of this research paper is to determine the dominant criteria of Information System (IS) success specific to handcraft SMEs in Yogyakarta and to establish relationship among those criteria using interpretive structural modeling (ISM). A small portion of those SMEs have started using information system. However, they face several barriers to successfully implement the information system. Therefore, it is necessary to ensure the success of information system implementation. But, no study has been done regarding the measurement IS success specific to handcraft SMEs in Yogyakarta. This research involved interview-based surveys and ISM approach to determine the dominant criteria of IS success of SMEs in Yogyakarta context. In total, 16 SMEs were involved as research objects in this research. In this research, four cluster of SME have been identified and the modified IS Success model for each cluster was developed accordingly.  The modified model for each cluster has 14, 20, 16 and 30 criteria respectively. Through ISM, a relationship model among the criteria for each model was also obtained. It was concluded that “ease of use”, “ease of learning”, and “data accuracy” are significant criteria of IS Success model in SMEs in Yogyakarta. These criteria are considered as the dominant criteria to implement information system successfully. In addition, the desired results of successful implementation is represented by “improved outcomes”. 
Does Customer Satisfaction Really Lead Company to Financial Success? A Review and Meta-analysis Suharyanti, Y.; Dewa, D.M.R.T.
International Journal of Industrial Engineering and Engineering Management Vol. 1 No. 1 (2019)
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/ijieem.v1i1.2295

Abstract

All the theories about market and marketing research, customer relationship management, and business in general, believe that customer satisfaction is one of the main factors for company financial success. However, a survey on 64 studies shows a wide variation of the correlation between customer satisfaction and financial performance. The correlation coefficients are varied from -0.256 to 0.899. This study applies a meta-analysis on those 64 studies’ findings to find the true correlation between customer satisfaction and financial performance. The analysis clusters the 64 studies based on year of research, business category observed, and geographical area of research. The result shows that the correlation between customer satisfaction and financial performance is relatively high (0.525) before 1990, becomes confusing (not-significantly correlated) in 1991-2000, increases (0.626) in 2001-2010, and decreases (0.595) after 2011. Based on business category, the two variables are not significantly correlated both in manufacturing industries and in service industries. The two variables are significantly correlated according to the studies conducted in Europe region (0.566) and Asia-Africa (0.657), but could not to be proven significantly correlated in USA region. The insights from the meta-analysis findings are: (1) the customer satisfaction role is change by time as well as the changes of industry environment, so that research on customer satisfaction will always be beneficial; (2) in individualist society like USA, further researches on customer behavior and culture are required to find more clear explanation about the role of customer satisfaction as well as other financial success factors, on the company performance. 
The Ergonomic Elderly Gym Improving Physical Fitness and Increasing The Bone Mass of The Elderly Ariati, N.N.; Adiputra, N.; Tirtayasa, K.; Adiatmika, I.P.G.; Pangkahila, A.; Sutjana, I.D.P; Bakta, I.M.; Manuaba, I.B.P; Sutajaya, I.M.
International Journal of Industrial Engineering and Engineering Management Vol. 1 No. 2 (2019)
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/ijieem.v1i2.2998

Abstract

The public is increasingly aware of the importance of exercise for the elderly because exercise is an option to reduce complaints due to setbacks and improve the health of the elderly. In fact the implementation in the field is often wrong as in Banjar Benaya which implements routine exercises only once a week with a duration less than 30 minutes, does not pay attention to nutritional needs, does not use sports clothing, and displays that are not clear. The measurement of elderly physical fitness is still relatively low. Based on these problems, improvements were made to the application of ergonomic elderly gymnastics due to improve elderly’s physical fitness and increase the bone mass.  This study used a treatment by subject design conducted in April 2017-August 2018. The target population was all elderly in Denpasar and the affordable population was determined by multistage random sampling then selected Banjaya Benaya Peguyangan Village with a sample of 20 people who met the inclusion criteria. The data collection were physical fitness and bone mass. The difference in treatment effects were analyzed using a Paired Sample t-Test with α = 0.05 for data with normal distribution and Wilcoxon test, α = 0.05 for data with abnormal distribution. Data showed that there were differences in physical fitness improvement in Period I and Period II after 8 weeks of gymnastics at 43.43% with very bad categories being bad, the difference in increase in whole body bone mass was 16.76% and leg bone mass 68.67%. Analysis of Paired Sample-t-Test physical fitness data and Wilcoxon test for bone mass data in Period I and Period II after gymnastics for 8 weeks, found that there was a significant difference (p <0.05). It can be concluded that ergonomic elderly gym can significantly improve physical fitness and increase bone mass of the elderly. It is recommended that the elderly continue to exercise with a duration of 30-45 minutes, the frequency of 3 times a week to maintain elderly’s physical fitness.

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