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Humiras Hardi Purba
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IJIEM - Indonesian Journal of Industrial Engineering & Management Program Pascasarjana Magister Teknik Industri Universitas Mercu Buana Kampus Menteng - Gedung Tedja Buana, Floor 4th Jl. Menteng Raya No. 29 Jakarta Pusat- Indonesia Tlp.: +62 21 31935454 Fax: +62 21 31934474
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INDONESIA
Indonesian Journal of Industrial Engineering & Management
Published by Universitas Mercu Buana
ISSN : 26147327     EISSN : 27459063     DOI : https://dx.doi.org/10.22441/ijiem
Core Subject : Science, Engineering,
Control & Systems Engineering Decision Sciences, Operations Research & Management Engineering Industrial & Manufacturing Engineering
The journal aims to advance the theoretical and applied knowledge of this rapidly evolving field, with a special focus on industrial engineering and management, organisation of production processes, management of production knowledge, computer integrated management of production flow, enterprise effectiveness, maintainability and sustainable manufacturing, productivity and organisation, forecasting, modelling and simulation, decision making systems, project management, innovation management and technology transfer, quality engineering and safety at work, supply chain optimization. Indonesian Journal of Industrial Engineering & Management is published under the auspices of Universitas Mercu Buana. The main purpose of Indonesian Journal of Industrial Engineering & Management is to publish the results of cutting-edge research advancing the concepts, theories and implementation of novel solutions in modern manufacturing and services. Papers presenting original research results related to industrial engineering and management education are also welcomed.
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 229 Documents
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Analysis of Haura Mart's Marketing Strategy Using the Marketing Mix Method and the SOAR in Dealing with the Competition Sekar, Intan Ayu; Umam, Muhammad Isnaini Hadiyul; Lubis, Fitriani Surayya; Yola, Melfa; Hartati, Misra
IJIEM - Indonesian Journal of Industrial Engineering and Management Vol 6, No 3: October 2025
Publisher : Program Pascasarjana Magister Teknik Industri Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/ijiem.v6i3.31592

Abstract

This research to analyze the marketing strategy of Haura Mart supermarket in facing competition, namely by using the Marketing Mix (7P) method and the SOAR (Strengths, Opportunities, Aspirations, and Results) if you want to increase sales. Marketing Mix consists of Product, Price, Place, Promotion, Physical Evidence, People, and Process which are used to identify the most dominant factors in marketing objectives. while the SOAR method is the result of the analysis of the most dominant or influential factors of the marketing mix strategy (7P). The results of this study found that the most influential on the Marketing Mix method was  from the results of the t-test, it was found that the factors that influenced sales volume were place with a t-value of 2.784, promotion with a t-value of 2.902, people with a t-value of 2.630, and process with a t-value of 2.133. This is because t-value > t-table (1.986). And SOAR calculations with the result of the total IFE matrix score is 3.518 and the total EFE matrix score is 3.737.So that the SA method, OA method, SR approach, and OR method marketing mixare the most effective strategies to increase Haura Mart supermarket sales in facing competition.
Development of Concealer X Packaging Using Kansei Engineering Sari, Novi Purnama; Sinur, Valeri Vela; Suharto, Nurlita Pratiwi; Amri, Aulia
IJIEM - Indonesian Journal of Industrial Engineering and Management Vol 6, No 3: October 2025
Publisher : Program Pascasarjana Magister Teknik Industri Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/ijiem.v6i3.30961

Abstract

Concealer x packaging still has shortcomings in its packaging from the applicator which makes it difficult to use, the packaging design is uncomfortable for consumers, and the visual design is less informative. This is a challenge in developing concealer x packaging by considering consumer preferences. The purpose of this study is to identify the concept and elements of packaging design according to consumer preferences. Kansei Engineering is one of the methods used to optimize the identification of consumer preferences. This method can capture consumer emotions in the form of Kansei words which are translated into concepts and elements of packaging design. Other supporting methods used are Principal Component Analysis (PCA) and Quantification Theory Type 1 (QTT1). The results obtained were 61 selected samples and 35 Kansei words. The samples and Kansei words were then evaluated by creating a semantic differential questionnaire for 30 respondents by purpose judgment sampling. The results of the concept obtained by the PCA method were 4 PCs with PC 2 selected as the practical standard because it had the highest R-square value of 0.911. The results of the packaging design elements obtained are X1.1 Strew X2.9 Concave X3.6 Jug X4.3 Half Tube X5.4 Heptagon X6.2 Brush and Sponge X7.5 Silicon X8.1 Fun X9.1 Small 1 - 5 gr X10.1 Under. The conclusion of the packaging design obtained has described practical packaging following the design concept and meets consumer preferences.
A Systematic Review of the Simplex Method in Profit-Oriented Optimization for Manufacturing Industries Pasaribu, Enita; Hernadewita, Hernadewita; Debora, Fransisca; Attaqwa, Yusita
IJIEM - Indonesian Journal of Industrial Engineering and Management Vol 6, No 3: October 2025
Publisher : Program Pascasarjana Magister Teknik Industri Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/ijiem.v6i3.35105

Abstract

Companies involved in production activities consistently strive to achieve their strategic objectives, with profit maximization being one of the primary goals for maintaining competitiveness and ensuring long-term business sustainability. This goal can be pursued through optimal production planning, one of which involves the application of the Simplex Method (SM). The Simplex Method is a mathematical algorithm designed to solve Linear Programming (LP) problems, which focus on optimizing a linear objective function while accounting for various resource-related constraints. This paper presents a systematic literature review on the implementation of the Simplex Method for profit optimization in the manufacturing sector. A total of 30 relevant research articles published between 2019 and 2024 were analyzed, sourced from reputable academic databases such as Google Scholar and ScienceDirect. The findings demonstrate that the Simplex Method offers substantial benefits, including improved resource allocation, cost reduction, enhanced decision-making capabilities, increased productivity, and support for data-driven operational efficiency. These advantages underscore the method’s effectiveness as a quantitative decision-support tool in strategic industrial planning. The review also highlights the broad applicability of the Simplex Method across various countries and industrial sectors, particularly in food, automotive, chemical, and textile manufacturing. As the manufacturing landscape transitions into the era of Industry 4.0, it is strongly recommended that future research explores the integration of the Simplex Method with emerging technologies such as Big Data analytics, Artificial Intelligence (AI), Cyber-Physical Systems (CPS), and Hybrid Optimization Models to further enhance industrial competitiveness, adaptability, and sustainability. 
Facility Layout Design of Mr. Budi's Tofu Factory Using the HIRARC Method and Blocplan Algorithm Tanjung, Rindi Aini; Umam, Muhammad Isnaini Hadiyul; Nur, Muhammad; Suherman, Suherman; Taslim, Rika
IJIEM - Indonesian Journal of Industrial Engineering and Management Vol 6, No 3: October 2025
Publisher : Program Pascasarjana Magister Teknik Industri Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/ijiem.v6i3.31934

Abstract

Occupational health and safety is something that cannot be separated in human resources where occupational health and safety includes preventing accidents due to work, securing materials, carrying out maintenance to improve living standards and increase productivity. At the Mr. Budi tofu factory, employees have not used Personal Protective Equipment in the production process and the unstructured layout causes work accidents on the production floor. This study aims to conduct an OHS assessment at the Pak Budi tofu factory and redesign the facility layout to reduce work accidents so that the production process is more effective and efficient. The methods used in this research are HIRARC and Blocplan Algorithm. The results of the OHS assessment at the Pak Budi tofu factory show 2 activities with a medium risk level and one activity with a low risk level, in the redesign of the facility layout the distance of material movement in the initial layout is 19.2 m and the distance of material movement in the proposed layout is 11.7 meters where there is a difference in the distance of material movement of 7.5 meters, this shows that the proposed layout can be applied to the Pak Budi tofu factory.
Customer Loyalty Analysis with Markov Chain and Customer Bonding Strategy: Case Study at PT XYZ Anwar, Balqis; Lahay, Idham Halid; Uloli, Hendra
IJIEM - Indonesian Journal of Industrial Engineering and Management Vol 7, No 1: February 2026
Publisher : Program Pascasarjana Magister Teknik Industri Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/ijiem.v7i1.33981

Abstract

Thiis stiudy aiims to analyze customer loyalty at PT XYZ is using the Markov Chain approach and Customer Bonding strategy. The research method combines quantitative analysis through Markov Chain to predict customer switching and qualitative analysis through questionnaires to measure the effectiveness of the Customer Bonding strategy. The results showed that the probability of customers staying was 54%, while the probability of moving to competitors was 46%. The Customer Bonding strategy, especially in the aspects of relationship bonding and advocacy bonding, has proven effective in increasing customer loyalty. The strategies that can be carried out so that XYZ Workshop does not experience a drastic decline in customers are by implementing strategies such as: Customer Retention Strategy, Improving Quality and Differentiation, Expanding Market Access, and Reanalyzing Business Models. However, the availability of spare parts and product design are still weaknesses that need to be improved.This study provides practical implications for companies in designing more effective customer retention strategies.
Controlling the Inventory of Boiler Ash Raw Materials in Organic Fertilizer Using the Minmax Method (Case Study: UMTR Belilas Organic Fertilizer) Aditama, Dhimas; Nurainun, Tengku; Lubis, Fitriani Surayya; Nofirza, Nofirza; Anwardi, Anwardi
IJIEM - Indonesian Journal of Industrial Engineering and Management Vol 7, No 1: February 2026
Publisher : Program Pascasarjana Magister Teknik Industri Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/ijiem.v7i1.31728

Abstract

This study evaluates the inventory management of boiler ash raw materials in an independent organic fertilizer company, UMTR Belilas, using the Min-Max method supported by forecasting. The main problem in this study is that consumer demand is often not met on time due to suboptimal inventory management. The purpose of this research is to maintain the availability of raw materials in order to meet consumer demand optimally while reducing the risk of out-of-stock and overstocking. The results show that the application of the Min-Max method results in a minimum stock limit of 88.5 kg and a maximum stock of 171 kg, with an optimal purchase quantity of 82.5 kg per order. The safety stock level is calculated at 6.1 kg, while the Reorder Point (ROP) is set at 88.5 kg. With an order frequency of 120 times per year, this method has succeeded in optimizing storage costs through faster stock turnover. The combination of the Min-Max method and forecasting has proven to be effective in responding to fluctuations in demand, ensuring the availability of raw materials on time, and supporting the operational sustainability of organic fertilizer production.
Shortcomings and Risks of Borrowing Funds Through online P2P Lending Applications for Trader Indrajaya, Sonny; Imaroh, Tukhas Shilul
IJIEM - Indonesian Journal of Industrial Engineering and Management Vol 7, No 1: February 2026
Publisher : Program Pascasarjana Magister Teknik Industri Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/ijiem.v7i1.32571

Abstract

Examining business capital as an important need. The author aims to find out the problems of Information borrowers risk of default, liquidity risk, P2P platforms, fintech in borrowing funds through online P2P loan applications for entrepreneurs other than conventional financial  institutions. This research uses quantitative methods and data testing using the warp pls tool using data from questionnaires conducted by 50 lender as respondents. The results of testing and analyzing this study related to borrower information have an influence on P2P lending, the risk of default has an influence on the P2P lending platform, and liquidity risk has an influence on the P2P lending platform. This research design has limitations from its variables, only involving certain demographics. The number of respondents and characteristics of respondents are still limited. The data analysis technique used in this study is only a quantitative method. The findings can be implemented as a business strategy with good planners and P2P lenders who have a lot of knowledge and are very good. By developing a P2P platform, this study can be more useful for lenders to focus on information about borrowers, default risk, liquidity risk in Jakarta. Business strategies using this model can be used as a model for P2P platforms in Jakarta. This research focuses on the shortcomings and risks of borrowing funds through online P2P lending applications for trader.
Analysis of Burger Main Raw Material Inventory Control Using the Economic Order Quantity (EOQ) Method and the Just in Time (JIT) Method Rahmadini, Reny; Nurainun, Tengku; Hartati, Misra; Lubis, Fitriani Surayya; Nur, Muhammad
IJIEM - Indonesian Journal of Industrial Engineering and Management Vol 7, No 1: February 2026
Publisher : Program Pascasarjana Magister Teknik Industri Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/ijiem.v7i1.31502

Abstract

Burger Fandawa is an MSME in Pekanbaru that faces problems in managing the inventory of the main raw materials, namely bread, meat, and sauce. The main problem is the uncertainty of demand and inventory irregularities that cause shortages or excess stock, thus disrupting smooth production and cost efficiency. This study aims to analyze the main raw material inventory management method using the Economic Order Quantity (EOQ) and Just In Time (JIT) approaches to determine the most optimal method. The research method used is quantitative analysis based on demand data, ordering costs, storage costs, and lead time of the main raw materials during 2023. The results of the analysis show that the optimal purchase quantity according to EOQ is 236.505 packs of bread, 93.510 kg of meat, and 118.866 kg of sauce, with a total inventory cost of IDR. 2,763,809,416. Meanwhile, the JIT method results in a lower total inventory cost of IDR. 1,142,030,936, with a savings difference of IDR. 1,621,778.48. Based on these results, the JIT method is considered more optimal for managing raw material inventory at Burger Fandawa. The JIT method is more efficient in reducing inventory costs and increasing the effectiveness of managing the main raw material stocks.
Application of the Business Model Canvas in Determining Business Development Strategies at Kedai Kabur Bontang Wardana, Muhammad Harsa; Tosungku, La Ode Ahmad Safar; Sitania, Farida Djumiati
IJIEM - Indonesian Journal of Industrial Engineering and Management Vol 7, No 1: February 2026
Publisher : Program Pascasarjana Magister Teknik Industri Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/ijiem.v7i1.26632

Abstract

Kedai Kabur is a shop that sells various kinds of porridge, such as chicken porridge, black sticky rice porridge as well as coffee and non-coffee drinks. Kedai Kabur has a problem, namely the lack of interest from customers who come to the shop. This research aims to find out the description of the Kedai Kabur business model when viewed from the Business Model Canvas aspects and to find out the Kedai Kabur Business Model Canvas strategy to be recommended based on the Business Model Canvas Transformation Design. In formulating strategies, researchers use a business model canvas which consists of nine blocks, namely, customer relationships, key partners, value proposition, customer segments, channels, revenue streams, key resources, key activities and cost structure. This research uses qualitative methods with analysis using the business model canvas and also using SWOT. Data collection techniques use observation, interviews and questionnaires. The results of this study show that Kedai Kabur has basically implemented the Business Model Canvas and strategies recommended with the Business Model Canvas model, namely by targeting customers who like porridge and customers among teenagers, serving customers kindly and taking a personal approach to consumers, making sales through Grabfood, and promoting more often.  
Optimization of Blood Clam Supply Control Using the Artificial Neural Network (ANN) Method Suardi, Syafarudin; Hartati, Misra; Lubis, Fitriani Surayya; Nurainun, Tengku; Taslim, Rika
IJIEM - Indonesian Journal of Industrial Engineering and Management Vol 7, No 1: February 2026
Publisher : Program Pascasarjana Magister Teknik Industri Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/ijiem.v7i1.33669

Abstract

Mr. Badul MSME faces problems in managing blood clam inventory, namely excess and shortage of stock. To overcome this, research was conducted to design an inventory prediction system using the Artificial Neural Network (ANN) method with the Backpropagation algorithm. The ANN model used has an architecture with 10 input neurons, 10 hidden neurons, and 1 output neuron. The inventory data is normalized before the training process, then the results are denormalized to get the actual prediction. The developed model shows good performance with a very low Mean Squared Error (MSE) value of 2.7359e-06, as well as a correlation coefficient of 0.91478, which shows a strong relationship between predictions and actual data. The prediction results cover the period from January 2023 to December 2024. In January 2023, the inventory was predicted to be 96,050 kg, declining in February to 89,205 kg, and dropping sharply to 68,670 kg in March and April. Inventory increases again in May to August with fluctuations from 75,515 kg to 89,205 kg. A similar pattern occurs in 2024, starting with 96,050 kg in January, decreasing in March and April, then increasing again in the middle of the year, and decreasing again towards the end of the year, with the lowest inventory of 65,933 kg in November and December.

Page 22 of 23 | Total Record : 229

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