Journal of Industrial Engineering and Halal Industries

Optimization of Hijab Production Profits for UMKM Saveer Hijab Using the CPLEX Application

Shofia Rizka Julianti — 2025-06-30

Micro, Small, and Medium Enterprises play a major role in economic growth in Indonesia and must continue to be supported and developed in order to compete at a global level. Saveer Hijab is one of the hijab fashion brands in the MSME sector that produces various types of hijab. Saveer Hijab experienced a decline in sales because the number of requests was not balanced with production costs due to the increase in raw material prices. This study aims to formulate an optimization model to determine the optimal production volume so that maximum profit is obtained using the CPLEX application. The results of the study showed that to optimize profits, Saveer Hijab must produce 200 pcs of Malay Scarf hijab and 120 pcs of Pashmina Square hijab. Thus, the profit obtained by Saveer Hijab is IDR 7,000,000.00 or 75%. Saveer Hijab obtains maximum efficiency for the amount of fabric and thread inventory, because in the production process of both types of hijab, it requires a fabric inventory of 500 m and a thread of 800 m, which is in accordance with the amount of material availability capacity. Furthermore, the amount of plastic packaging inventory still leaves 180 pcs because in the production process the amount of plastic used is 320 pcs.

Analysis of the Application of Artificial Intelligence (AI) in Halal Product Supply Chain Management: A Systematic Literature Review

Shofia Rizka Julianti — 2025-06-30

The development of globalization has made digital technology play an important role in increasing the efficiency of supply chain management to ensure that its products are truly halal at the point of purchase for consumers. The technology that plays an active role in supply chain management is artificial intelligence (AI). This study aims to determine the effectiveness of implementing AI in halal product supply chain management. The object of this study is a scientific article that implements AI technology in halal product supply chain management with a qualitative approach through the Systematic Literature Review (SLR) method. Literature studies were conducted using Google Scholar and Science Direct to obtain detailed and up-to-date information on the topics to be studied. This study found 12 AI models that can be used in supply chain management. However, its implementation in the field of halal supply chains has not been widely implemented. This study also found that the implementation of AI in the halal product supply chain can improve operational efficiency and improve supply chain performance. However, successful adoption depends on technological readiness, good collaboration between technology and human expertise, and consumer trust. Investing in AI-based systems can significantly improve supply chain integrity and consumer trust.

Optimization of Broiler Chicken Harvest Scheduling using Integer Linear Programming: A Case Study

Danang Setiawan — 2025-06-30

An optimized scheduling system is essential for poultry farming to balance fluctuating market prices with fluctuating feed prices. In poultry farms, input costs account for over 90% of total expenses, with 66% allocated to feed and 25% to day-old chick purchases. This article presents an optimization model for chicken harvesting, using broiler chicken farming as a case study. A broiler chicken farm in Central Java is currently operating below optimal profitability because of a lack of a systematic harvest scheduling strategy. The Integer Linear Programming model was developed to obtain an optimal harvest schedule to maximize income with respect to operational constraints. The optimization indicates that the proposed schedule increases farm profit by 12.41% per production cycle, leading to an estimated additional yearly revenue of IDR 40,062,029. Furthermore, the sensitivity analysis indicates that market price and feed cost are the most significant factors that influence profitability, with market price fluctuations impacting profit by up to 100.17% and feeding cost changes affecting profitability by 66.10%. Minimizing the price of 5% feed can lead to an increase of 66% in profit and vice versa. This paper presents a framework of structured decision-making for poultry farms to obtain the highest possible profit and minimize loss occurrence by utilizing an optimal harvesting schedule.

Innovative Ergonomic Solutions: Integrating 3D-CAD, Virtual Reality, and Mixed Methods for Railway Maintenance Workers

Hellstrome Young Akuma — 2025-06-30

Physical ergonomics is critical in safeguarding worker safety and well-being, particularly in demanding work environments such as maintenance tasks involving complex engineering systems (CES). The ergonomics field is evolving with new technological tools, offering innovative approaches to enhance current assessment protocols. This study proposes a conceptual framework integrating advanced technological tools, specifically, Three-Dimensional Computer-Aided Design (3D-CAD) and Virtual Reality (VR), with conventional mixed methods approaches to optimize ergonomic solutions for railway maintenance workers. The proposed framework combines quantitative data, such as anthropometric measurements and workstation evaluations, with qualitative insights from worker feedback, ensuring a holistic approach to ergonomic assessment. By incorporating VR technology, the framework creates an immersive environment where workers can interact with full-scale models of their workstations, providing detailed feedback essential for both proactive and corrective ergonomic interventions. The study demonstrates that this integrated approach effectively addresses ergonomic challenges by merging the objectivity of quantitative analysis with the contextual depth of qualitative insights. The findings suggest that the proposed framework enhances worker performance and safety and supports continuous improvement in ergonomic practices. The study concludes that this framework is valuable for comprehensive research into ergonomic challenges in railway maintenance and offers a versatile methodology for improving worker well-being in similar high-risk industries.

Optimizing Production for Maximum Profit in Kripik Ma'Nung MSMEs Using CPLEX-Based Linear Programming

Nafia Rahma Rahma — 2025-06-30

Micro, Small, and Medium Enterprises (MSMEs) significantly contribute to the economic development of Indonesia. However, many MSMEs still rely on intuition and past experience rather than data-driven decision-making, resulting in suboptimal profit outcomes. This study aims to determine the optimal production combination to maximize profit in Kripik Ma’Nung, a halal-certified MSME that produces five types of traditional chips.

A linear programming approach was applied using CPLEX Optimization Studio 22.1.2 to analyze real production data, including unit cost, production time, and selling price. The decision variables were the weekly production quantities of each chip type, subject to constraints on production cost and time.

The initial production plan yielded a weekly profit of IDR 370,200 with a production time of 1,478.8 minutes. After optimization, the model suggested producing only 166 units of sale banana chips, which increased the profit to IDR 448,200, reduced production time to 1,377.8 minutes, and cut costs by IDR 78,000.

These results demonstrate a 21% improvement in profit efficiency and highlight the effectiveness of linear programming as a decision-support tool. The study encourages broader adoption of optimization techniques among MSMEs to enhance resource utilization and operational decision-making.

The Visualization of the Batik Cloth Stamping Machine Using Augmented Reality at the Yogyakarta City Crafts and Batik Center

Prasdika Widas Sena — 2025-06-30

The batik stamp machine is one of the machines used by the Center for Crafts and Batik to make batik cloth. This machine has been automated using PLC (Programmable Logic Controler) which makes machine can be controlled by computer. The batik products produced are 15 page/month. From the results of the production carried out, it has not met the production target which is targeted to reach 50 page/month, so there is a need for innovation in the machine which will increase production. The redesign of this stamp machine using technology Augmented Reality namely visualizing a 3D image to be object 3D so that it can evaluate the object to be made before it reaches the development machine stage so as to reduce costs. The process that must be carried out is to make a drawing of a batik stamp machine including: machine size, and machine specifications, make a license on Vuvoria Engine to making markers on software unity. The method used in the development of Augmented Reality is single marker method i.e. one image marker can only display single objects, so the method cannot display multi object. From the results of making Technology Augmented Reality is a redesign carried out on the stamping machine for batik at the Center for Crafts and Batik is a rare step that can be done to increase the productivity of making batik so that it meets the production targets expected by the Center for Crafts and Batik. So it is necessary to visualize the machine with AR technology so that it becomes an evaluation material for batik cloth stamping machines and reduces the cost of the development of machines which in the future will be able to increase batik production.

System Modeling to Optimize the Production Quantity of Men's and Women's Jackets and Achieve Maximum Profit: A Case Study at Konveksi ABC Cikarang Using Linear Programming

Wisnu Aji — 2025-06-30

This study aims to develop an optimal production strategy for Konveksi Jaket ABC Cikarang, a garment manufacturer specializing in men's and women's jackets. The company faces significant challenges in resource allocation, particularly in managing limited material supplies and production capacity. To address this, a Linear Programming approach is applied to determine the most profitable production combination. The model incorporates two decision variables representing the quantities of men's and women's jackets and is constrained by real-world resource limitations. The objective function is designed to maximize profit, and the model is solved using IBM ILOG CPLEX software. The results indicate that the optimal production decision is to produce 125 units of women’s jackets and none of the men’s jackets, resulting in a maximum profit of IDR 8,125,000. These findings demonstrate that mathematical optimization can serve as an effective decision-support tool for improving production planning and efficiency in resource-constrained environments.

System Modelling to Optimize the Number of Production of Men's Bags and Women's Bags to Obtain Maximum Profit in ABC Karawang Convection using Linear Programming

Ni Wayan Puji Efpryani Wayan — 2025-06-30

This study aims to optimize the production quantity of men's and women's bags to achieve maximum profit at ABC Karawang Convection. The company faces challenges in determining the ideal production quantity due to limited resources, resulting in unfulfilled market demand and suboptimal profit. The research method applied is Linear Programming using the Simplex approach, implemented through the CPLEX Solver software. The results indicate that the optimal solution is achieved by producing 1 unit of men’s bag and 82 units of women’s bags, yielding a maximum profit of IDR 3,740,000. This model provides an efficient production strategy and can serve as a decision-making foundation for production planning.

The OPTIMIZATION OF PROFITS AND MANAGEMENT OF RAW MATERIAL STOCKS IN LAUNDRY SOAP MSMES USING INTEGER LINEAR PROGAMMING (ILP)

Yuda Eka Pramono — 2025-06-30

Abstract

Micro, Small, and Medium Enterprises (UMKM) have an important role in the economy, including in the household soap industry. The main problems that are often faced are the management of raw materials and the determination of the amount of production that is not optimal. This study aims to optimize sales profits and the efficiency of the use of raw materials in laundry soap UMKM in Gombong Village, Warungpring District, Pemalang Regency by using the Integer Linear Programming (ILP) method. The data was obtained through direct interviews with UMKM owners and processed using the IBM ILOG CPLEX Optimization Studio. The optimization model is built on two types of products, namely regular soap and soap plus fragrance, taking into account the availability constraints of active ingredients, clean water, liquid fragrances, and plastic bottles. The optimization results showed that the optimal production amount was 47 bottles of regular soap and 53 bottles of soap plus fragrance, with a maximum profit of Rp267,500. This study shows that the ILP method is effective in supporting measurable and efficient production decision-making.

The Supply Chain Performance Measurement and Determination of Improvement Priorities Using the Supply Chain Operations Reference –Digital Standard (SCOR DS) and Analytic Network Process (ANP) Methods

Khairunnisa Naziro — 2025-06-30

Effective and efficient waste management remains a key challenge in supporting environmental sustainability at the regional level. This study was conducted at the Sendangsari Integrated Waste Management Site (TPST), located in Sleman, Yogyakarta. The aim of the research is to measure the performance of the waste processing supply chain and to determine the priority areas for improvement. The method used is the Supply Chain Operations Reference – Digital Standard (SCOR DS) approach to identify and categorize performance indicators based on six core processes: Plan, Order, Source, Transform, Fulfill, and Return. The Analytic Network Process (ANP) method is employed to assign weights to 18 Key Performance Indicators (KPIs) based on their level of influence and interrelation. These weights are then applied using the Objective Matrix (OMAX) method to calculate the performance scores for each indicator, which are subsequently classified using the Traffic Light System (TLS). The results show that TPST Sendangsari achieved an overall performance score of 7, with 9 KPIs falling in the green category, 7 in yellow, and 2 in red. These findings indicate that TPST Sendangsari requires further evaluation and improvement efforts, particularly for KPIs in the red and yellow categories, to enhance its overall performance.