Journal of Integrated System

Cover Depan

2026-06-30T14:35:34+00:00

Cover Tengah

2026-06-30T14:38:16+00:00

Daftar Isi

2026-06-30T14:39:23+00:00

Multi-Response Optimization of Fused Deposition Modeling Parameters Using an Integrated Taguchi–MRSN–TOPSIS Approach for Product Quality Improvement

2026-01-12T09:17:29+00:00

Fused Deposition Modeling (FDM) is one of the most widely used Additive Manufacturing technologies; however, product quality is strongly influenced by complex and inherently multi-response process parameter combinations. This study aims to optimize FDM process parameters by considering three quality responses, namely tensile strength, flexural strength, and surface roughness. The proposed approach integrates the Taguchi method, Multi-Response Signal-to-Noise Ratio (MRSN), and the multicriteria decision-making technique Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). Seven FDM process parameters were investigated at two levels using PLA material and a predefined FDM system configuration. The results indicate that the parameter combination A2 B2 C2 D2 E2 F2 G2—representing a layer thickness of 0.4 mm, printing temperature of 220 °C, four wall lines, hexagonal infill pattern, 80% infill density, printing speed of 80 mm/s, and nozzle diameter of 0.4 mm—constitutes the most optimal compromise configuration. This configuration yields a tensile strength of 41.865 MPa (an increase of 25.005 MPa), a flexural strength of 87.321 MPa (an increase of 38.3 MPa), and a surface roughness of 1.688 μm (a reduction of 18.73 μm). The TOPSIS ranking consistently places this alternative at the highest position. Sensitivity analysis of the criteria weights demonstrates that the recommended parameter configuration remains relatively stable within the tested preference ranges, confirming that the integration of Taguchi–MRSN–TOPSIS provides an effective, transparent, and reproducible multi-response optimization framework.

A Halal-Sustainable Circular Economy Model Based on Management Information System in Clothing Small Medium Enterprises Using Soft System Methodology

2026-04-11T15:21:02+00:00

This study aims to develop a sustainable halal circular economy model based on a management information system (MIS) in the halal clothing Small and Medium Enterprises (SMEs) in Indonesia. The main challenge faced is integrating circular economy principles with halal values, particularly in the SMEs sector. The approach used was the seven stage Soft System Methodology (SSM). Data were collected through in-depth interviews, field observations, and documentation studies. The results of the study identified gaps between existing practices and ideal conditions in aspects of halal supply chain management, production waste management, raw material traceability systems, and halal integration in business operations. The developed model contains six main pillars, namely the 6R principle (Reduce, Reuse, Recycle, Redesign, Recover, Remanufacture) which is aligned with halal requirements, an integrated management information system, a digital technology-based traceability mechanism, and a multi-stakeholder collaboration framework. The designed information system includes a halal management module, a sustainability module, an integration module, and a decision support system. This research provides a theoretical contribution by integrating SSM, halal practices, and sustainability as a blueprint for implementing a circular economy in the halal apparel sector, while also serving as a foundation for developing halal-sustainable industrial policies in Indonesia.

Retail Clustering Using K-Means to Optimize Intermediate Warehouse Locations for 3-kg LPG Distribution Based on Transportation Capacity

2026-04-02T22:58:45+00:00

The distribution of 3-kg LPG in the Greater Bandung area faces efficiency challenges in facility placement and service area allocation. This study aims to determine intermediate warehouse locations using the K-Means Clustering method and to allocate demand based on vehicle capacity. The clustering process was conducted using customer location coordinates, individual customer demand, and available vehicle capacity. This method was used to group 72 agents into balanced clusters based on geographical proximity and vehicle capacity constraints, ensuring that each cluster can be served by one vehicle without exceeding its maximum capacity. Based on a total demand of 5,570 units and a vehicle capacity of 560 units, this study produced 10 clusters with an average demand of 557 units per cluster. The centroid of each cluster is proposed as a candidate location for an intermediate warehouse. The demand reallocation process resulted in a more balanced distribution, as indicated by a reduction in inter-cluster demand variance from 41.9 to 3. These results indicate that the integration of K-Means Clustering and capacity-based demand allocation can be used as an initial approach in designing a more balanced and structured 3-kg LPG distribution network.

Student Wellbeing in Industrial Engineering: Analyzing the Spirituality-Burnout Nexus

2026-05-21T06:04:30+00:00

Recent shifts in higher education have prompted many universities to adopt new instructional environments, notably hybrid learning models. However, researchers have identified that navigating these hybrid systems can induce significant stress among students. Given that internal personal resources, particularly spirituality, are recognized as vital coping mechanisms for academic stress in highly religious societies, they have significant potential to buffer these negative impacts. Consequently, this study aimed to explore the spiritual experiences of Industrial Engineering students and investigate their correlation with burnout levels within a hybrid learning framework. An online survey was administered to 98 undergraduate students in the Industrial Engineering Department at Universitas Atma Jaya Yogyakarta between February and March 2022. Reliability analysis using Cronbach’s alpha confirmed the internal consistency of the survey instruments for this cohort. A MANOVA revealed significant differences in the Spiritual Index between gender groups and significant variations in burnout levels across academic years. Correlation analyses revealed a significant negative association specifically between spiritual levels and the loss of academic efficacy (r = -0.264; p-value < .05). While general negative trends were also observed with overall burnout, emotional exhaustion, and cynicism, these particular correlations were not statistically significant. The findings suggest that strong spiritual experiences can foster greater life satisfaction, mitigating burnout. Overall, the students exhibited moderate levels of burnout during their hybrid learning experience. It can be concluded that a robust sense of spirituality may help bolster self-esteem and serve as a protective factor against burnout in hybrid educational settings. These findings imply that higher education institutions should proactively integrate student wellness programs that accommodate spiritual and social experiences to effectively mitigate the risk of burnout during hybrid learning transitions.

Optimization of Waste Bank Facility Layout Using a Systematic Layout Planning Approach and the BLOCPLAN Algorithm

2026-06-02T15:30:41+00:00

Facility layout efficiency is a key factor in supporting sustainable waste bank management. This study aims to optimize the facility layout of the Resik Babakan Sari Waste Bank in Bandung City using a Systematic Layout Planning (SLP) approach and the BLOCPLAN algorithm. The research methods include observation, interviews, and process analysis using Value Stream Mapping (VSM) and Process Activity Mapping (PAM) to identify value-added (VA) and non-value-added (NVA) activities. Data on material handling frequency, space requirements, and closeness relationships between facilities were processed using BLOCPLAN software to generate more efficient layout alternatives. The results show that the total material handling distance is reduced from 204.5 meters to 127.48 meters, representing a 37.7% reduction. This improvement enhances material flow efficiency, reduces internal transportation time, and improves operator safety and comfort. Therefore, the integration of SLP and BLOCPLAN is effective in producing a more efficient, ergonomic, and sustainable facility layout.

Comparison of Random Forest and Gradient Boosting Methods for Multi-Product Demand Forecasting at CV Healfit Pangan Sehat (DietGo Kitchen) with Different Demand Characteristics

2026-06-11T04:24:47+00:00

Accurate demand forecasting is a crucial factor in culinary industry supply chain management. This study compares the performance of two ensemble learning methods, namely Random Forest and Gradient Boosting, in predicting demand for six culinary products with different demand characteristics. The data used consists of monthly sales data at CV Healfit Pangan Sehat (DietGo Kitchen). Models were evaluated using Mean Absolute Error (MAE), Root Mean Square Error (RMSE) and Mean Absolute Percentage Error (MAPE). The results show that Random Forest delivered superior performance for 5 out of 6 products with an average MAPE of 31.61%, compared to Gradient Boosting with an average MAPE of 35.43%. Random Forest proved more robust in handling products with stable demand patterns (Sei Ayam: MAPE 19.76%, Sei Sapi: MAPE 21.38%) and intermittent demand (Sei Domba: MAPE 26.88%). Feature importance analysis revealed that lag-3, lag-6, and trend were the strongest predictors in both models. Gradient Boosting outperformed Random Forest on only one product (Sambal Bawang: MAPE 37.16%). High-volatility products such as Baked Grill Chicken yielded a MAPE of 32.98%. This study provides a practical contribution in the form of a forecasting method selection framework based on product demand characteristics, along with recommendations for implementation in the culinary industry.

Redesign of the Layout of an Integrated Logistics Facility Using Systematic Layout Planning at KALOG Express Cirebon Prujakan

2026-06-26T06:53:28+00:00

The rapid growth of the logistics sector in Indonesia requires improved operational efficiency, particularly in facility layout management, which plays a crucial role in ensuring smooth material flow. However, the existing layout at KALOG Express Cirebon Prujakan Branch lacks clear zoning separation between inbound, transit, and outbound areas, resulting in mixed activities, handling errors, and inefficient material flow. Therefore, this study aims to redesign the facility layout to enhance operational efficiency and workflow organization. The research applies the Systematic Layout Planning (SLP) method, including activity relationship analysis using Activity Relationship Chart (ARC) and Activity Relationship Diagram (ARD), space requirement analysis, and the development of alternative layouts. The evaluation is conducted using closeness rate and Manhattan distance. The results indicate that layout alternative 2 is the most optimal solution, as it provides clear separation between operational and service zones, improves material flow, and minimizes crossing movement. Based on the results of the Manhattan distance evaluation, layout alternative 2 yielded a total distance weight of 2.222, which is lower than alternative 1 value of 2.405, thus indicating a more efficient material flow configuration. Furthermore, the implementation of Visual Management enhances workflow clarity and reduces operational errors. Thus, the proposed layout improves operational efficiency and creates a more structured and integrated logistics system.

Bus Interior Design for the Disabled at Bhakti Luhur Alma Orphanage

2026-06-07T13:51:04+00:00

The Bhakti Luhur Alma Orphanage cares for people with disabilities—including those with physical, visual, and hearing impairments—who are homeless. The mobility of the orphanage residents is currently hindered by inadequate vehicle interiors. This study aims to identify the specific needs of the users, design vehicle interiors tailored to those needs, and evaluate the results. The method used is design thinking with inclusive principles, which includes the stages of understand, observe, define point of view, ideate, prototype, and test and reflect. In the understand and observe stages, seven main needs were identified, including ample space for movement, safety features, and self-reliance indicators. Through a concept scoring process of three design alternatives, a combined concept with the highest weighted score of 4.55 was selected. Some features of the final design include an ergonomic folding seat, a cross-body safety belt, a wheelchair restraint, audio/visual indicators, and guiding blocks. The design was evaluated by a mechanical engineer, a special education teacher, and a manufacturing expert. The evaluation indicated that the design is feasible and meets the needs of people with disabilities.

Daftar Mitra Bestari

2026-06-30T14:40:37+00:00

Cover Belakang

2026-06-30T14:41:48+00:00