Journal of Industrial Engineering and Halal Industries
About the Journal of Industrial Engineering and Halal Industries JIEHIS is an international journal in the field of Industrial Engineering and Halal Industries. This journal is an open access journal and published by the Industrial Engineering Department, Faculty of Science and Technology, UIN Sunan Kalijaga Yogyakarta. Journal Title : Journal of Industrial Engineering and Halal Industries E-ISSN : 2722-8142 P-ISSN : 2722-8150 Editor-in-chief : Dr. Khusna Dwijayanti Publisher : Industrial Engineering Department, UIN Sunan Kalijaga Yogyakarta, INDONESIA Frequency : 2 issues per year Indexing Format paper Guidelines : Google Scholar, Garuda, DOAJ, SINTA 4 : previous template paper, as per 1 June 2024 we change to the new template paper. : JIEHIS submission guideline , OJS 3 submission guideline Focus and Scope 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. Keywords: industrial engineering, halal, halal industries, manufacturing, engineering design, industrial management Peer Review Process JIEHIS puts effort to present papers that provide great contribution to the field of industrial engineering and halal industries. Thus, to ensure the quality of published paper JIEHIS performs a rigid measurement and involves experts and specialists in industrial engineering and halal industries. Submitted manuscripts are reviewed using double-blind peer review. This method guarantees both author and reviewer's identity and it will prevent the reviewer forming any bias. We must inform to all authors that the average number of weeks between article submission & publication is 5 weeks. Further information about JIEHIS, policies, and direction to the submission can be found in the journal policies menu.
Industrial Engineering Department, Faculty of Science and Engineering, UIN Sunan Kalijaga Yogyakarta
(c) The Author(s). This article is distributed under a Creative Commons Attribution-ShareAlike 4.0 International License.
The Optimization of Flow Shop Scheduling in Milling Stoper Production Using Campbell Dudek Smith Algorithm
Non-optimal production scheduling in a flow shop system can increase makespan, idle time, and workload imbalance among machines. This study aims to optimize the production scheduling of a milling stopper in a manufacturing workshop using the CDS algorithm. This research contributes to improving the efficiency of production systems, particularly in conventional machining processes. The data used consist of processing times for four jobs. The CDS algorithm generates six alternative scheduling sequences, which are then compared based on their makespan values. The results show that the best job sequence is obtained in the fourth iteration, with the order starting from Top Arm, Bottom Arm, Base, and Silinder, resulting in a makespan of 1599 minutes. The Gantt chart indicates that the bottleneck occurs at the conventional milling machine, while idle time arises due to imbalanced processing times among machines. This study demonstrates that the CDS algorithm is effective in minimizing makespan and improving the efficiency of flow shop production systems.
CDS, Flow Shop, Makespan, Milling Stoper, and Scheduling
Copyright (c) 2026 Haposan Vincentius Manalu, Insan Kamil, Oki Setiawan, Darti Purnama Sari, Siti Adriani, Ifti Luthviana Dewi, Robi Kurniawan, Lavita Indriani Br. Ginting, Khollilah Nuraini https://creativecommons.org/licenses/by-sa/4.0
The Mechanical Sub-System Machine Maintenance Analysis Using Reliability Centered Maintenance Method at PT XYZ
The automotive manufacturing industry requires high operational reliability to prevent defects caused by machine failures. This research was conducted at PT XYZ, focusing on the mechanical subsystem of Line SA. The problem identified was the high frequency of machine breakdowns, specifically in the Compacting process on the PMM-60-N2 machine. This study applies the Reliability Centered Maintenance (RCM) method, utilizing Fault Tree Analysis (FTA) to find root causes and Failure Mode and Effect Analysis (FMEA) for risk assessment. The FTA results showed that the root cause of frequent breakdowns (conveyor jams and die eject failures) is the accumulation of residual powder material. FMEA calculations indicated that the Die Eject component has the highest Risk Priority Number (RPN) of 160. Based on the Logic Tree Analysis (LTA), the recommended maintenance strategy is a Scheduled On-Condition Task, emphasizing thorough cleaning and visual inspections. Implementing this strategy is expected to minimize unexpected downtime and improve overall production efficiency.
Copyright (c) 2026 Bima Sugeng Pratama, Dr. Ir. Trio Yonathan Teja Kusuma, S.T., M.T., IPM., ASEAN Eng https://creativecommons.org/licenses/by-sa/4.0
The Motivations and Barriers to Halal Supply Chain Implementation: A Case Study of the Pempek Industry in Palembang, Indonesia
This study aims to analyze the level of understanding, motivational factors, perceived impacts, and barrier factors related to halal certification adoption among pempek business actors in Palembang City using a statistical descriptive of 97 respondents. The analysis included validity and reliability testing using IBM SPSS Statistics v.26, followed by descriptive statistical analysis. The results indicate that respondents demonstrate a high level of understanding of halal certification, particularly regarding its conceptual meaning and business benefits. Motivation to obtain certification is primarily driven by the intention to enhance Muslim consumer trust and strengthen market credibility rather than by external incentives. The perceived impacts of halal certification are largely associated with increased consumer trust, improved product quality, and expansion of customer base, while financial gains are viewed as secondary outcomes. Although overall barriers are categorized as moderate, certification costs and administrative complexity remain the most significant constraints, especially for micro-scale enterprises. The findings suggest that halal certification functions as a credibility-based competitive strategy supported by strong normative awareness, yet constrained by structural and institutional challenges. Strengthening procedural simplification and institutional support mechanisms is essential to enhance sustainable halal certification adoption among micro and small food enterprises.
Copyright (c) 2026 Bayu Wahyudi, Tuwandi Juniarto, Anindita Rahmalia Putri, Yasmin, Mirza Bhilqis Jiratullah, Petrik Aulia Akbar https://creativecommons.org/licenses/by-sa/4.0
The Quality Control Analysis of Hard Solder Assembly (HSA) of Key Flutes Using the Six Sigma DMAIC Method (Case Study: PT. Yamaha Musical Products Indonesia)
Quality control is a critical aspect of manufacturing industries to ensure product consistency and minimize defect, and propose quality improvement actions using rates. PT. Yamaha Musical Products Indonesia a manufacturer of wind musical instruments, still encounters quality issues in the Hard Soldering Assembly (HSA) Key-Flute product that affect production efficiency. This study aims to identify dominant defect types, evaluate process performancethe Six Sigma DMAIC (Define, Measure, Analyze, Improve, and Control) approach. The study utilizes production and defect data collected during June 2025. The measurement stage shows an average Defect Per Million Opportunities (DPMO) value of 2,738.42 with a Sigma Level of 4.29, indicating that the process performance is not yet optimal. Pareto analysis reveals that the Ro Tare defect contributes more than 80% of total defects. Root cause analysis using a fishbone diagram identifies human, machine, method, and material factors as the main causes. Proposed improvements include operator retraining, work standardization, machine maintenance, material quality control, and manpower optimization to enhance process stability
Copyright (c) 2026 Khoirul Iqbal, Trio Yonathan Teja Kusuma https://creativecommons.org/licenses/by-sa/4.0
The Analysis of the Effect of Halal Logistics Attributes and Service Quality on Halal Logistics Adoption Intention Through Emotional and Functional Values
Abstract This study aims to analyze the effect of halal logistics attributes and service quality on halal logistics adoption intention, by considering the mediating role of emotional value and functional value. An explanatory quantitative approach is used through the Structural Equation Modeling-Partial Least Squares (SEM-PLS) method, with data obtained from 200 respondents who have used halal logistics services in Indonesia in the last six months. The results show that service quality has a significant effect on emotional value (β = 0.655; p < 0.001) and functional value (β = 0.458; p < 0.001). Halal logistics attributes also have a significant influence on emotional value (β = 0.168; p = 0.001), but not directly on adoption intention. Emotional value (β = 0.378; p < 0.001) and functional value (β = 0.461; p < 0.001) proved to be important mediators that bridge the influence of exogenous variables on halal logistics adoption intention. Overall, the model has an R² value of 0.422 for the adoption intention variable, indicating that the model is able to explain 42.2% of the variability in adoption intention. These results underscore the crucial role of perceived emotional and functional value in influencing consumers' decision to adopt halal logistics services. Keywords: halal logistics, service quality, emotional value, functional value, adoption intention, SEM-PLS
halal logistics, service quality, emotional value, functional value, adoption intention, SEM-PLS
Copyright (c) 2025 Syaeful Arief, Taufiq Aji, dwi kristanto https://creativecommons.org/licenses/by-sa/4.0
The Comparative Analysis of Cost of Production Using Full Costing, Variable Costing, and Activity-Based Costing Methods in MSMEs of Tanjungpinang City
Culinary sector MSMEs continue to face challenges in determining accurate Cost of Production (COP), which often leads to pricing errors. This study aims to analyze and compare the calculation of COP using Variable Costing, Full Costing, and Activity-Based Costing (ABC) methods in a Sempol MSME located in Tanjungpinang. A descriptive quantitative approach was employed, with data collected through observation and interviews related to production costs and production volume. The results indicate that the COP of sempol was Rp541,66 per stick using the Variable Costing method and Rp609,86 per stick using the Full Costing method, while the COP of sausages was Rp658,39 and Rp692,49 per stick, respectively. The ABC method produced lower COP values, namely Rp105,76 per stick for sempol and Rp30,44 per stick for sausages, as costs were allocated based on production activities. This study concludes that different costing methods generate different cost information; therefore, the selection of an appropriate COP method should be aligned with the analytical objectives and cost management needs of MSMEs.
Copyright (c) 2026 Aditia Ayu Rahma Nabila https://creativecommons.org/licenses/by-sa/4.0
The Analysis Of Overall Equipment Effectiveness On The Heading Machine To Minimize Six Big Losses Using The Total Productive Maintenance Method: A Case Study Of PT XYZ
Abstract Machine efficiency and productivity are key factors in the manufacturing industry to ensure product quality and smooth production processes. PT XYZ, as a company engaged in manufacturing, faces challenges in optimizing the performance of its Heading machine used during the production process. One of the identified problems is the high downtime, which averages 5,509.7 minutes per month during the research period. This study applies the Overall Equipment Effectiveness (OEE) and Six Big Losses methods to analyze machine effectiveness and designs improvement recommendations through the Total Productive Maintenance (TPM) approach. Data collected over a six-month period, from January to June 2024, shows that the Heading machine has an availability rate of 86.63%, a performance rate of 87.93%, and a quality rate of 99.55%, resulting in a total OEE value of 75.5%. The Six Big Losses analysis indicates that the main factor affecting machine effectiveness is reduced speed losses. Therefore, this study recommends the implementation of TPM to improve the effectiveness of the Heading machine performance at PT XYZ.
Overall Equipment Effectiveness, Six Big Losses, Total Productive Maintenance, Reduced Speed Losses, Downtime
Copyright (c) 2026 Reza Ade Irmansyah, Widya Setiafindari https://creativecommons.org/licenses/by-sa/4.0
Employee Workload Analysis Using the Full-Time Equivalent Approach at PT Pupuk Sriwidjaja Palembang
This study aims to calculate and analyze workload at PT Pupuk Sriwidjaja Palembang, specifically within the Field Technical Inspection Group II of the Technical Inspection department. The research was conducted by determining the appropriate number of workers based on their work output and effective working hours. The study was motivated by the observation that there is often idle time and a high frequency of off-site activities among employees in the technical inspection section. The Full-Time Equivalent (FTE) method was used to analyze the workload distribution and employee productivity. Based on the 2019 data, effective working hours were calculated to be 5.6 hours per day, with a total of 238 working days in the year. The results show that employee productivity is generally high. However, three employees were found to be overloaded, with FTE index values of 1.281, 1.327, and 1.302, indicating excessive workload. Meanwhile, eight employees had normal FTE index values ranging from 1.054 to 1.255. The findings can be used to improve workload distribution and staffing decisions within the department.
effective working hours; employee productivity; full-time equivalent; technical inspection department; workload analysis
Copyright (c) 2025 Mahmud Basuki, Mohamad Fatchur Rohman, Noor Nailie Azzat, Hermanto https://creativecommons.org/licenses/by-sa/4.0
The Optimization of Double Pan Design for Household Use Based on Weight Reduction Using Taguchi Method
Abstract. Double pans are widely used in household kitchens due to their convenience and cooking efficiency. However, many users report discomfort caused by the excessive weight, particularly when flipping the pan during cooking. This study aimed to optimize the double pan design by focusing on reducing its weight using the Taguchi method. Three controllable factors were selected: pan material, handle material, and shaft material. An L9 orthogonal array was employed to efficiently design the experiments. The measured responses included total pan weight score assessed through the CAD simulation. Signal-to-noise ratio analysis was also conducted to identify the most influential factors and determine the optimal design combination. The findings indicate that material significantly affect user comfort, while pan weight is primarily influenced by material choice. This study demonstrates the applicability of the Taguchi method in consumer product design and provides a reference for developing lightweight and user-friendly kitchenware.
Copyright (c) 2025 Novia Intan Maharani, Wahyu Ardiansyah, Ira Setyaningsih https://creativecommons.org/licenses/by-sa/4.0
A Full-Profile Conjoint Analysis to Identify University Students’ Preferences Toward Food Delivery Services
The rapid development of digital technology has transformed consumer behavior, particularly in fulfilling food needs through online food delivery services. University students represent one of the most active user groups due to their high mobility and preference for practical lifestyles. This study aims to analyze students’ preferences toward food delivery service attributes and to identify the most influential factors in determining their choices. The research involved 100 respondents from the Faculty of Science and Technology, Universitas Islam Negeri Sunan Kalijaga Yogyakarta, using the traditional conjoint analysis method with a full-profile design approach. Six attributes were examined: type of service, price, payment method, courier service, food quality, and service quality. The results indicate that price has the highest level of importance (25.401%), followed by type of service (22.230%), service quality (16.231%), courier service (15.926%), payment method (10.960%), and food quality (9.252%). The most preferred combination of attributes includes GrabFood or GoFood services with promotional prices, uniformed couriers, diverse food options, and fast delivery. These findings suggest that promotional pricing strategies and service quality improvements are key factors for online food delivery providers to enhance customer satisfaction and attract student users.
Copyright (c) 2025 Epha Diana Supandi, Fitri Rochmiyani https://creativecommons.org/licenses/by-sa/4.0
Patient Segmentation Based on Visit Patterns and Diagnoses Using the K-Means Clustering Algorithm on Medical Records from XYZ Clinic in 2024
Outpatient clinics in Indonesia routinely generate extensive health data through patient visits; however, such data remain underutilized for strategic and clinical decision-making. This study aims to segment patients based on visit frequency, diagnosis codes, demographic characteristics, and payment types using three clustering techniques: K-Means, Agglomerative Hierarchical Clustering, and DBSCAN. The objective is to determine the most effective method for patient stratification in a primary healthcare setting. Patient visit data from Klinik Pratama UIN Sunan Kalijaga for the year 2024 were analyzed. K-Means produced the most granular structure with nine clusters, DBSCAN identified seven clusters including a noise group, while Hierarchical Clustering yielded three macro-clusters. Internal validation using Silhouette Score, Davies-Bouldin Index, and Calinski-Harabasz Index revealed Hierarchical Clustering as the optimal model, achieving the highest cluster cohesion and separation with a Silhouette Score of 0.502, Calinski-Harabasz Index of 2134.87, and Davies-Bouldin Index of 0.668. The dendrogram and principal component analysis visualization confirmed the natural separation into three clinically meaningful patient segments. Cluster 0 comprised patients with acute respiratory and digestive conditions exhibiting sporadic visits. Cluster 1 consisted predominantly of male BPJS-insured patients with musculoskeletal and dental complaints and moderate visit frequency. Cluster 2 included female BPJS-insured patients with chronic metabolic and vascular diseases requiring consistent and frequent care. These findings demonstrate the efficacy of hierarchical clustering in producing interpretable patient segments and provide a valuable foundation for targeted healthcare management and resource allocation in outpatient clinics.
Copyright (c) 2025 Muhammad Solihin, Titi Sari, Sophia Carolina Shani https://creativecommons.org/licenses/by-sa/4.0
Analysis of Halal Awareness Among Students in the Faculty of General Sciences and the Faculty of Religious Sciences (Case Study: Halal Food Court at UIN Sunan Kalijaga)
This study investigates the overall level of halal awareness among students at the State Islamic University (UIN) Sunan Kalijaga Yogyakarta, compares the level of awareness between students from religious studies faculties and general studies faculties, and identifies the most dominant dimension—knowledge, attitude, or behavior—in each group. Employing a quantitative approach with a comparative design, the research collects data through a closed-ended questionnaire based on a 5-point Likert scale, complemented by documentation studies. Data analysis involves validity and reliability testing, descriptive statistical analysis, normality and homogeneity tests, and an Independent Sample t-Test. The results reveal high halal awareness across both groups, with a t-value of -0.721 and a significance level of p = 0.472 (p > 0.05), indicating no statistically significant difference between faculties. Dimension-based analysis shows that attitude is the most dominant aspect, reflecting strong positive perceptions and beliefs about the importance of halal products, while the behavior dimension records comparatively lower scores, indicating an intention–behavior gap. These findings suggest that the university’s Islamic environment fosters a shared awareness of halal principles among students, regardless of academic discipline, and highlight the need for practical interventions to strengthen the consistent application of halal practices in daily life.
halal awareness; comparative study; university students; Islamic higher education; quantitative research
Copyright (c) 2025 mansyur https://creativecommons.org/licenses/by-sa/4.0
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
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.
Supply Chain, SCOR Digital Standard, ANP, OMAX, TLS, Waste Management at Sendangsari, Performance, Waste Processing
Copyright (c) 2025 Khairunnisa Naziro https://creativecommons.org/licenses/by-sa/4.0
The Visualization of the Batik Cloth Stamping Machine Using Augmented Reality at the Yogyakarta City Crafts and Batik Center
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.
The Batik Stamp Machine, Augmented Reality, Visualization
Copyright (c) 2025 Prasdika Widas Sen, Widya Setiafindari, Fikri Dwiyanto https://creativecommons.org/licenses/by-sa/4.0
Innovative Ergonomic Solutions: Integrating 3D-CAD, Virtual Reality, and Mixed Methods for Railway Maintenance Workers
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.
Copyright (c) 2025 Hellstrome Young Akuma, Nazlin Hanie Abdullah https://creativecommons.org/licenses/by-sa/4.0
The OPTIMIZATION OF PROFITS AND MANAGEMENT OF RAW MATERIAL STOCKS IN LAUNDRY SOAP MSMES USING INTEGER LINEAR PROGAMMING (ILP)
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.
UMKM, Laundry Soap, Integer Linear Programming, Optimization, CPLEX.
Copyright (c) 2025 YUDA EKA PRAMONO https://creativecommons.org/licenses/by-sa/4.0
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
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.
production optimization; linear programming; garment industry; men’s and women’s jackets; CPLEX Solver
Copyright (c) 2025 Wisnu Aji https://creativecommons.org/licenses/by-sa/4.0
Analysis of the Application of Artificial Intelligence (AI) in Halal Product Supply Chain Management: A Systematic Literature Review
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.
Copyright (c) 2025 Shofia Rizka Julianti, Agung Fatwanto https://creativecommons.org/licenses/by-sa/4.0
Optimization of Hijab Production Profits for UMKM Saveer Hijab Using the CPLEX Application
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.
Copyright (c) 2025 Shofia Rizka Julianti, Dwi Agustina Kurniawati, Noor Saif Muhammad Mussafi https://creativecommons.org/licenses/by-sa/4.0
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
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.
Copyright (c) 2025 Ni Wayan Puji Efpryani Wayan https://creativecommons.org/licenses/by-sa/4.0
Optimizing Production for Maximum Profit in Kripik Ma'Nung MSMEs Using CPLEX-Based Linear Programming
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.
Keyword: Optimization, CPLEX, UMKM, Chips.
Copyright (c) 2025 Nafia Rahma Rahma, Dwi Agustina Kurniawati, Noor Saif Muhammad Mussafi https://creativecommons.org/licenses/by-sa/4.0
Optimization of Broiler Chicken Harvest Scheduling using Integer Linear Programming: A Case Study
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.
Copyright (c) 2025 Danang Setiawan, Hilmi Akbar Wijaya https://creativecommons.org/licenses/by-sa/4.0
The Overall Labor Effectiveness (OLE) Method for Analyzing Employee Performance in the Musical Instrument Industry
The production processes in the musical instrument industry are highly diverse, ranging from manual operations to full automation. The musical instrument industry examined in this study is predominantly characterized by manual production processes. In manual production, the role of operators is crucial in determining productivity levels. The Buffing Section is a workgroup within the painting department responsible for polishing components of musical instruments. Observations conducted from September to November revealed that the productivity of this group had not met the company’s target of 82%. Productivity was recorded at 70% in September, 77% in October, and 72% in November. To evaluate this condition, operator performance effectiveness was measured using the Overall Labor Effectiveness (OLE) method. OLE is used to assess labor productivity efficiency in manufacturing by examining the cumulative impact of three elements—availability, performance, and quality—on output. To identify the priority factors affecting productivity, the Analytical Hierarchy Process (AHP) method was employed. Additionally, Root Cause Analysis (RCA) was conducted to analyze the causes of problems and propose improvements. The results of the study showed an OLE value of 76%, indicating that the operational performance effectiveness was below the global standard. AHP analysis revealed that the primary factor influencing the low OLE value, which should be prioritized for problem analysis and improvement, was the quality factor, with an eigenvector value of 0.70. To further identify quality-related issues, RCA analysis highlighted the most dominant defects based on a Pareto diagram, namely rough surfaces (69.74%) and dull finishes (15.61%). The primary causes of these defects were, Uneven operator skills, Improper machine settings, Inadequate sanding processes, Incorrect pressure during the buffing process, Excessive or insufficient use of wax, Poor workplace cleanliness
Productivity; Overall Labor effectiveness; Analytical Hierarchy Process; Root Cause Analysis
Copyright (c) 2024 muchammad sugarindra https://creativecommons.org/licenses/by-sa/4.0
The Evaluation of the Performance of Automatic Temperature Control Technology in a Closed House Broiler Chicken Production System
Abstract This study evaluates the performance of automatic temperature control technologies in a closed-house system for broiler chicken production. Four key technologies were assessed: CTI 80, CTI Alpha, Punos, and Temptron, based on three main parameters: chicken mortality rate, growth (average final body weight), and production efficiency (Feed Conversion Ratio/FCR). Data were collected through direct observation, daily records, and final measurements on farms with a minimum population of 80,000 chickens per house. The statistical analysis revealed that CTI Alpha demonstrated the best performance with the lowest mortality rate (255 chickens) and high stability in temperature control. CTI 80 ranked second with performance close to CTI Alpha, followed by Punos. In contrast, Temptron exhibited the lowest performance with the highest mortality rate (595 chickens) and high data variability. The One-Way ANOVA test showed significant differences among the tested technologies (p < 0.05), while the Post Hoc Games-Howell analysis confirmed that CTI Alpha, CTI 80, and Punos performed significantly better than Temptron. This study recommends that farmers adopt CTI Alpha or CTI 80 technologies to optimize broiler chicken production. These technologies not only enhance productivity by reducing mortality rates but also support industry sustainability through resource efficiency and adaptability to climate change. This study provides valuable insights for farmers in selecting appropriate technologies tailored to their specific needs and contributes to the broader understanding of effective temperature control systems in broiler chicken farming.
automatic temperature control; closed-house system; broiler chickens; production efficiency; farming technology
Copyright (c) 2024 DWI IRYANING Handayani, HARYONO HARYONO, Tri Prihatiningsih Prihatinigsih, Nuzul Hikmah https://creativecommons.org/licenses/by-sa/4.0
The Halal Tourism Preferences: The Role of Brand Awareness, Attitudes, and Social Norms Among Muslim and Non-Muslim Travelers
This research focuses on the influence of brand awareness, attitudes, and social norms on the intentions of Muslim and non-Muslim tourists to visit Lombok as a Halal tourism destination. Lombok has been designated by the Indonesian government as a center for Islamic tourism, providing a complementary option to Bali’s Hindu cultural tourism. The study utilized the Theory of Planned Behavior and gathered data via an online survey involving 123 participants, 56 non-Muslims and 67 Muslims. The results indicated that Halal brand awareness and social norms did not significantly impact non-Muslim tourists' intentions to visit Lombok. At the same time, brand awareness also did not affect Muslim tourists. Attitudes were identified as the main factor influencing their willingness to visit. Interestingly, the R-squared values differed notably between the two groups, with the variables accounting for 58.1% of non-Muslim tourists' decisions but only 39.9% for Muslim tourists. This research offers new insights into Halal tourism from both Muslim and non-Muslim perspectives.
Muslim; Non-Muslim; Halal; Lombok; Indonesia; Tourist
Copyright (c) 2025 ira setyaningsih https://creativecommons.org/licenses/by-sa/4.0
The Initial Development and Validation of Physical, Psychosocial and Fatigue Level Questionnaire
The lack of comprehensive tool to assess both risk factors of physical and psychosocial risk factors as well as fatigue level effectively is significant in similar field research. Therefore, the aim of this study is to do the initial development and content validation of a questionnaire that identifies and measures the risk factors influencing the fatigue levels. The questionnaire was developed by implementing adapt method followed by item generation in the initial development. This questionnaire was then validated in terms of content validation by expert panel reviews. The content validity result are as follows: 64-items out of 146-items scale had I-CVI below 1, 24-items with I-CVI of 0.8, and 3-items with 0.7, and the remaining items had I-CVI of below than 0.7. The average value of CVR was 1, and the S-CVI/Ave of the questionnaire was 0.93. Items with content validity of 0.7 and above was maintained, therefore, the questionnaire ended with 87-items. Findings indicates that the questionnaire is valid for assessing the physical and psychosocial risk factors associating with the fatigue levels. This questionnaire can be made a tool in assessing workplace while promote efficiency through this comprehensive tool, contributing to a better understanding of occupational risks and potential interventions.
Copyright (c) 2024 Alya Ismail, Mirta Widia, Ezrin Hani Binti Sukadarin https://creativecommons.org/licenses/by-sa/4.0
The Identification and Elimination of Waste Activities in The Gray Yarn Processing Company
This study aims to identify the types of waste and recommend improvements to minimize waste that occurs in the gray yarn processing company. Value Stream Mapping (VSM) is used to analyze the flow of materials and information throughout the production process. The main objective is to identify and eliminate waste, thereby improving efficiency and productivity in manufacturing operations. The biggest types of waste in the grey yarn processing production process of the preparation department are Unnecessary motion and Overprocessing waste types at 30% each, Unnecessary Inventory at 20%, and transportation at 20%. The recommendations given can reduce the overall leadtime from 58967 seconds to 58771 seconds.
lean manufacturing, value stream mapping, minimize waste
Copyright (c) 2025 Dhinar Elma Arifa, Imam Djati Widodo, Erlangga Fausa https://creativecommons.org/licenses/by-sa/4.0
Design Maintenance System on Mixer Machine to Prevent the Breakdown Using Reliability Centered Maintenance
Equipment, machinery, and labor are fundamental assets of an organization. Therefore, companies must have an appropriate and scheduled maintenance system. However, many manufacturing companies neglect maintenance, leading to frequent machine breakdowns that can result in machine downtime and financial losses. This research aims to determine the machine maintenance interval and the types of actions to be taken. The method employed is Reliability Centered Maintenance with the Failure Mode and Effect Analysis approach to identify failure patterns in a system and formulate the best strategies for designing a maintenance system. The results indicate that the CS-20 Type B mixer is the most critical machine, which can significantly reduce the company's production output due to machine downtime during the repair process. Based on the Reliability Maintenance method, the maintenance interval for components with potential failures is 273.17 hours for the bearing component, experiencing breakdowns three times with the highest damage occurrence within one year.
Copyright (c) 2023 Budhi Santri Kusuma, Mhd. Ardian Syahputra, Roaida Yanti, Dede Ibrahim Muthawali https://creativecommons.org/licenses/by-sa/4.0
Sentiment Analysis of PeduliLindungi User Using Naïve Bayes Classifier Algorithm and Support Vector Machine
The Indonesian government is attempting to track the spread of the virus by creating an application named “PeduliLindungi” to deal with the coronavirus's exponential increase in cases across the country. Because it has a feature to disclose the user's location immediately, it is envisaged that this program can reduce the transmission of viruses in monitoring. Indonesians have used the PeduliLindungi, and there are user reviews of both positive and negative experiences. Therefore, to enhance these services, an assessment is required. The text mining method can extract information from users' reviews to collect this data. This method's application additionally uses the Naive Bayes Classifier and Support Vector Machine algorithms, which analyze word associations and do a classification evaluation of the data's accuracy. Based on the two methods' calculations, the NBC algorithm's average classification accuracy was 83.81%, and the SVM algorithm was 93.84%. Following that, discoveries on words that frequently exist or are used by people are obtained through word associations in the sentiment analysis of positive or negative reviews.
Copyright (c) 2024 Rizki Rahmatullah, Jundi Nourfateha Elquthb, Fanya Nindha Al-Qurani, Annisa Uswatun Khasanah https://creativecommons.org/licenses/by-sa/4.0
Transforming Tofu Quality Control: Integrating Statistical Process Control, Ishikawa, and Interpretive Structural Modeling for Superior Outcomes
In a highly competitive market, maintaining high product quality is essential for maintaining customer satisfaction and loyalty. Producers are famous in East Java and face the challenge of ensuring consistent quality products through strict production processes. Know that as easy products broken and soft, needy control of careful quality to meet hope consumers about freshness, texture, and quality in a way whole. Although traditional control methods often fail to overcome the production complex that causes a disabled product. This research proposes integrating Statistical Process Control (SPC), Ishikawa diagrams, and Interpretive Structural Modeling (ISM) to improve control quality. SPC makes it possible to monitor and control production processes in real-time, identify deviations, and repair deviations. However, the SPC limitations include a focus on quantitative data and post-incident detection problems. To overcome root problems, the Ishikawa diagram categorizes the reasons for potency as material, machine, method, power work, and environment. ISM prioritizes action repair based on impact and relationship. Approach This integrated approach provides comprehensive solutions to improve the quality of knowledge. In this study, the control process quality was evaluated using SPC, the cause of defects was identified using Ishikawa diagrams, and priority action repair was performed via ISM. Findings show that SPC directly effectively monitors process control, the Ishikawa diagram identifies main defects, and ISM prioritizes impactful action improvements, emphasizes excessive additions to subtraction materials, and improves health workers’ and mixing process material standards. Approach integrated possible identification of additional problems and improved the quality strategic makes a significant contribution to enhancing product quality knowledge.
Statistical Process Control (SPC), Ishikawa diagram, Interpretive Structural Modeling (ISM) , defects , control quality
Copyright (c) 2024 DWI IRYANING Handayani https://creativecommons.org/licenses/by-sa/4.0