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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 15 Documents
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Search results for , issue "Vol 7, No 1: February 2026" : 15 Documents clear
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.
The Correlation Between Occupational Factors and the Severity Level of Carpal Tunnel Syndrome (CTS) Among Dentists Kumala, Andhini; Zadry, Hilma Raimona; Jumeno, Desto
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.v7i1.31586

Abstract

Carpal Tunnel Syndrome (CTS) is common condition that causes pain and functional disturbances in the hands and wrist, resulting from injury to the median nerve. This study aims to analyze the relationship between occupational factors and the severity of Carpal Tunnel Syndrome (CTS) among dentists, along with potential preventive strategies. In Indonesia, data on CTS prevalence remain limited. The research method utilized the Boston Carpal Tunnel Questionnaire (BCTQ) to assessed the severity of CTS among dentists and the statistical tests are used to test the correlation between occupational factors with the severity of CTS. Correlation analysis revealed that occupational factors such as daily working hours, excessive force application, age, years of professional experience, and regular medication usage significantly affect CTS severity and symptoms like tingling. The findings revealed that these factors significantly influence the severity of CTS. These results provide a foundation for developing more effective preventive strategies to improve the occupational health of dentists.
Mrp.Payakumbuh's Proposed Marketing Strategy Using the Boston Consulting Group (BCG) and SWOT Methods Fauzan, Rahmad; Umam, Muhammad Isnaini Hadiyul; Suherman, Suherman; Hamdy, Muhammad Ihsan; 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.v7i1.31038

Abstract

Mrp.Payakumbuh is a small and medium enterprise that has grown quite rapidly in producing clothes in Payakumbuh City. This research was conducted to analyze the marketing strategy of Mrp.Payakumbuh  using the BCG Matrix method and SWOT Analysis. The results of this study using the BCG matrix by calculating the market growth rate that Mrp.Payakumbuh  are located in the position of The Dogs at 7.7% and in the calculation of the relative market share that the position of Mrp.Payakumbuh faces a low market share and low market growth rate conditions with a value of 0.83. The results of the SWOT analysis have several parts, namely Internal Factors, External Factors, IE Matrix, and effective marketing strategies in increasing sales of Mrp.Payakumbuh. Effective Company Strategy in Increasing Sales of Mrp.Payakumbuh is with the S-O Strategy (Strengths-Opportunitties utilizing promotional media for customers who repost purchases, making discounts, discounts at each specific event, and maintaining and improving the quality of products. The S-T (Strengths-Opportunitties) strategy sets prices according to changes in raw material prices, continues to pay attention to customer needs without harming the company, and adds several new types of products by paying attention to quality in order to compete with other companies. W-O Strategy (Weaknesses Opportunities) increase capital by collaborating with investors at the local level.
Comparative Analysis of Cost and Performance of Plastic Shredder Machines Using Heatmap-Based Scoring Maulana, Jibril; Tsamroh, Dewi 'Izzatus; Riyanto, Obaja Eden Sentosa; Widowati, Tamara Rahma; Sasongko, Muhammad Ilman Nur; Adrianto, Sis Nanda Kus; Lubis, Didin Zakariya
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.v7i1.33929

Abstract

The growing problem of plastic waste requires innovative and sustainable solutions in terms of processing and recycling. One of the key technologies in the recycling process is the shredder machine, which serves to shred plastic waste into smaller sizes before further processing. However, in practice, industry players, especially at the microscale, often face a dilemma in choosing the optimal shredder machine between performance and cost aspects. This research aims to fill the gap by conducting a comparative analysis of three shredder designs based on price and technical performance criteria. The method used in this research involves quantitative measurements of vary in several key aspects, namely: physical dimensions (body area), frame length, transmission system (gearbox and/or clutch), storage capacity, chopper type, motor specifications (power), speed controller, additional features such as presser, foldability, and total price. Furthermore, the data was analyzed using a simple machine learning approach based on heatmap scoring with the help of Python libraries such as Pandas, Seaborn, and Matplotlib. The analysis results show that the 3rd design provides the best performance. This research contributes to data-driven decision making in shredder machine selection, with an approach that combines technical and economic aspects in an integrated manner. The findings are expected to serve as a reference for the development of efficient and sustainable waste plastic processing technology in the microscale industry sector.
Developing an Industrial Sustainability Strategy Model Through Exploratory Factor Analysis and DEMATEL Widowati, Tamara Rahma; Sholikha, Nikmatus; Kuswardani, Chintia Dwi Wangsa; Karim, Saifuddin; Pradhani, Nadiyah Larasati
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.v7i1.36294

Abstract

Corporate awareness of sustainability has increased significantly alongside growing stakeholder expectations for environmentally responsible practices. The industrial sector’s GDP growth in 2023 was accompanied by higher CO₂ emissions, emphasizing the need for a managerial approach that integrates economic, social, and environmental dimensions. This study develops a strategy map based on the Sustainability Balanced Scorecard (SBSC) by identifying key sustainability performance indicators. Using Exploratory Factor Analysis (EFA), 18 indicators were obtained and grouped into four perspectives: Learning and Growth (3 indicators), Internal Business Processes (8), Stakeholders (3), and Financial (4). The Decision-Making Trial and Evaluation Laboratory (DEMATEL) method was then applied to examine causal relationships. Results highlight “green technology innovation,” “energy efficiency and renewable energy practices,” and “green corporate image” as the most influential indicators. The Internal Business Process perspective was identified as the primary driver of sustainability performance. These findings stress the importance of aligning strategies with operational improvements to achieve balanced economic and environmental outcomes.

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