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Khusna Dwijayanti
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Department of Industrial Engineering UIN Sunan Kalijaga Yogyakarta Jl. Laksda Adisucipto Yogyakarta 55281
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INDONESIA
Journal of Industrial Engineering and Halal Industries
Published by Universitas Islam Negeri Sunan Kalijaga Yogyakarta
ISSN : 27228150     EISSN : 27228142     DOI : https://doi.org/10.14421/jiehis.3.1.2022
Core Subject : Religion, Science, Engineering,
Religion Decision Sciences, Operations Research & Management Engineering Industrial & Manufacturing Engineering
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.
Arjuna Subject : Teknik (semua kategori) - Tenik Industri dan Manufaktur
Articles 78 Documents
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The OPTIMIZATION OF PROFITS AND MANAGEMENT OF RAW MATERIAL STOCKS IN LAUNDRY SOAP MSMES USING INTEGER LINEAR PROGAMMING (ILP) Eka Pramono, Yuda; Agustina Kurniawati, Dwi; Saif Muhammad Mussafi, Noor
Journal of Industrial Engineering and Halal Industries Vol. 6 No. 1 (2025): Journal of Industrial Engineering and Halal Industries (JIEHIS)
Publisher : Industrial Engineering Department, Faculty of Science and Engineering, UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/jiehis.5288

Abstract

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.
Optimizing Production for Maximum Profit in Kripik Ma'Nung MSMEs Using CPLEX-Based Linear Programming Rahma, Nafia Rahma; Dwi Agustina Kurniawati; Noor Saif Muhammad Mussafi
Journal of Industrial Engineering and Halal Industries Vol. 6 No. 1 (2025): Journal of Industrial Engineering and Halal Industries (JIEHIS)
Publisher : Industrial Engineering Department, Faculty of Science and Engineering, UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/jiehis.5290

Abstract

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 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: (Case Study: Waste Management at Sendangsari) Khairunnisa Naziro; Rahadian Perdana, Yandra
Journal of Industrial Engineering and Halal Industries Vol. 6 No. 1 (2025): Journal of Industrial Engineering and Halal Industries (JIEHIS)
Publisher : Industrial Engineering Department, Faculty of Science and Engineering, UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/jiehis.5294

Abstract

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.
The Optimization of Double Pan Design for Household Use Based on Weight Reduction Using Taguchi Method Novia Intan Maharani; Wahyu Ardiansyah; Ira Setyaningsih
Journal of Industrial Engineering and Halal Industries Vol. 6 No. 2 (2025): Journal of Industrial Engineering and Halal Industries (JIEHIS)
Publisher : Industrial Engineering Department, Faculty of Science and Engineering, UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/jiehis.5332

Abstract

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.
Patient Segmentation Based on Visit Patterns and Diagnoses Using the K-Means Clustering Algorithm on Medical Records from XYZ Clinic in 2024 Solihin, Muhammad; Sari, Titi; Sophia Carolina Shani
Journal of Industrial Engineering and Halal Industries Vol. 6 No. 2 (2025): Journal of Industrial Engineering and Halal Industries (JIEHIS)
Publisher : Industrial Engineering Department, Faculty of Science and Engineering, UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/jiehis.5377

Abstract

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.
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) mansyur; Setyaningsih, Ira; Kurniawati, Dwi Agustina
Journal of Industrial Engineering and Halal Industries Vol. 6 No. 2 (2025): Journal of Industrial Engineering and Halal Industries (JIEHIS)
Publisher : Industrial Engineering Department, Faculty of Science and Engineering, UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/jiehis.5470

Abstract

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.
A Full-Profile Conjoint Analysis to Identify University Students’ Preferences Toward Food Delivery Services: A Case Study of the Faculty of Science and Technology, UIN Sunan Kalijaga Yogyakarta Supandi, Epha Diana; Rochmiyani, Fitri
Journal of Industrial Engineering and Halal Industries Vol. 6 No. 2 (2025): Journal of Industrial Engineering and Halal Industries (JIEHIS)
Publisher : Industrial Engineering Department, Faculty of Science and Engineering, UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/jiehis.5592

Abstract

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.
Employee Workload Analysis Using the Full-Time Equivalent Approach at PT Pupuk Sriwidjaja Palembang Basuki, Mahmud; Rohman, Mohamad Fatchur; Hermanto; Azzat, Noor Nailie
Journal of Industrial Engineering and Halal Industries Vol. 6 No. 2 (2025): Journal of Industrial Engineering and Halal Industries (JIEHIS)
Publisher : Industrial Engineering Department, Faculty of Science and Engineering, UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/jiehis.5678

Abstract

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.

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