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Journal Industrial Servicess
Published by Universitas Sultan Ageng Tirtayasa
ISSN : 24610623     EISSN : 24610631     DOI : -
Core Subject : Economy, Science, Engineering,
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Engineering Industrial & Manufacturing Engineering Mechanical Engineering Transportation
Jurnal Industrial Servicess merupakan wadah bagi peneliti untuk publikasi jurnal hasil penelitian yang ruang lingkupnya melingkupi: Logistics & Supply Chain Management Operations Research Quality, Reliability, and Maintenance Management Data Mining & Artificial Intelligence Production Planning & Inventory Control Ergonomics & Human Factors Information Systems & Technology Service Management Sustainability Human Resources Economic
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 471 Documents
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Usability assessment of tourism boats using the system usability scale: A case study of marine tourism SMEs Pradityatama, Maharsa; Suartika, I Made; Triadi, Anak Agung Alit; Nuarsa, I Made; Kurnia, Fikrihadi; Fatihah, Hilda
Journal Industrial Servicess Vol 12, No 1 (2026): April 2026
Publisher : Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62870/jiss.v12i1.30279

Abstract

Marine tourism destinations commonly rely on tourist boats as the primary means of transportation to visit surrounding attractions. Improving the competitiveness of small and medium-sized enterprises (SMEs) in the tourism industry can be largely achieved through the development of boats that prioritize usability. The tourism ecosystem depends heavily on transportation, particularly marine vessels, which are central to the operation of marine tourism destinations. A usability-focused analysis of tourism boat design can significantly enhance the competitiveness of SMEs operating in this sector. However, empirical studies applying standardized usability evaluation tools to SME-operated marine tourism vessels in developing countries remain limited. This study aims to evaluate the usability of a tourism boat using a structured usability assessment approach. Respondents were recruited through purposive sampling and assessed using an adapted System Usability Scale (SUS) instrument based on a five-point Likert scale. The SUS questionnaire was administered to evaluate the perceived usability of the tourism boat. A tourist boat with a SUS score of 52.2 falls within the marginal-low range. This indicates that while the boat's usability is rated in the lower range, it remains within an acceptable threshold. Key usability issues identified include absent seat handrails, difficult-to-open windows, narrow staircases, and insufficient life jackets. Accordingly, the proposed improvements focus on redesigning the boat to be more user-friendly, emphasizing ease of use and operational effectiveness as core usability principles. These findings provide practical guidance for SME operators and policymakers in adopting user-centered vessel design to enhance service quality and regional marine tourism competitiveness.
Multi-Criteria Decision Making for Sustainable Materials of Textile SMEs in Indonesia Afraah, Sayyidah Maulidatul; Purnama, Dwi Adi; Hidayat, Arif; Nugraheni, Diyah Dwi
Journal Industrial Servicess Vol 12, No 1 (2026): April 2026
Publisher : Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62870/jiss.v12i1.35534

Abstract

The increasing global emphasis on sustainability has pushed the traditional textile industry, including batik SMEs (Small and Medium Enterprises), to adopt environmentally responsible practices, particularly in the selection of raw materials. This study aims to identify and analyze the key criteria for selecting sustainable raw materials, both fabric and dye in the batik industry and to determine the best alternatives using the Multi-Criteria Decision Making, especially Analytic Hierarchy Process (AHP) method. This research established five main criteria: environmental impact, economic aspects, social factors, product quality, and production-technology compatibility. This research also established 14 sub-criteria based on main criteria. This reseach collected data from experts and batik SME owners through pairwise comparison questionnaires and analyzed using AHP. The results indicate that product quality holds the highest priority, and economic and environmental aspects as the second priority. Based on fabric options, the most preferred material is tencel/lyocell, due to its superior comfort, dye absorption, and eco-friendly production process. Based on dyes options, the most suitable alternative is recycled plant-based extracts, offering both environmental benefits and good color performance. The combination of Tencel/Lyocell and recycled plant-based dye presents a sustainable raw material strategy that supports environmentally responsible batik production and enhances the competitive value of SMEs in the textile sector.
Dairy farmer-labor scheduling model with skills of workers and cows' ability to produce milk Mauluddin, Yusuf; Rosmawati, Rosmawati; Silcilia, Putri
Journal Industrial Servicess Vol 12, No 1 (2026): April 2026
Publisher : Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62870/jiss.v12i1.29157

Abstract

This study develops a Multi-Skill Workforce Scheduling (MSWS) models for dairy farms that accounts for worker skills and cow lactation capacity to maximize milk yield. Using Integer Linear Programming (ILP), two models were proposed: Model 1 with work shifts and Model 2 without shifts. While the shift-based model was limited by excessive computational time, the non-shift model effectively solved real-world scheduling problems. The results revealed a distinctive pattern: highly skilled workers were prioritized for broader scheduling opportunities, whereas less-skilled workers were assigned to cows with higher lactation levels. These findings highlight the potential of ILP-based MSWS to optimize labor allocation in dairy farming.
Comparative analysis of tangible and intangible factors in selecting the optimal location for a small-scale industry MUSA, Adekunle Ibrahim; CHAUDHARY, Kapil; POHETO, Daniel Jesuyon
Journal Industrial Servicess Vol 12, No 1 (2026): April 2026
Publisher : Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62870/jiss.v12i1.35862

Abstract

Selecting an optimal location is critical for the sustainability and competitiveness of small-scale industries. This study evaluates three Nigerian states Lagos, Ogun, and Oyo using a multi-criteria decision-making (MCDM) approach. A Simple Additive Weighting (SAW) model was applied to assess both tangible factors and intangible factors. Data were collected from 30 purposively selected respondents and secondary sources. Results indicated that Oyo State ranks highest (7.85), followed by Lagos and Ogun (7.64 each). The study concludes that Oyo is the best option for cost-conscious investors, Lagos suits businesses prioritizing infrastructure, while Ogun is viable for low-cost operations with manageable security risks. The robustness of the results was confirmed by a sensitivity analysis (70:30 weighting). The paper is significant as it incorporates tangible-intangible trade-offs in the location choices of SMEs in the framework of a developing economy. The findings emphasize a holistic approach to location selection. Future studies should explore technology and sustainability in industrial location decisions.
Unveiling heterogeneity among batik SMEs: A knowledge management and financial performance perspective Achmad, Fandi; Aryani, Sinta; Wiratmadja, Iwan Inrawan; Shuhidan, Shuhaida Mohamed
Journal Industrial Servicess Vol 12, No 1 (2026): April 2026
Publisher : Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62870/jiss.v12i1.38810

Abstract

Batik Small and Medium Enterprises (SMEs) play a vital role in local economic development and cultural preservation. However, Batik SMEs often face persistent challenges related to uneven knowledge management practices and unstable financial performance, which limit their sustainability. Existing studies tend to treat SMEs as a homogeneous group, overlooking internal differences in organizational capabilities and financial outcomes. This study aims to unveil the heterogeneity among Batik SMEs by mapping their profiles based on knowledge management and financial performance using a clustering approach. A quantitative research design was employed, with data collected from Batik SMEs in Rembang Regency through structured questionnaires administered to owners or managers. Knowledge management was measured across four dimensions: knowledge creation, acquisition, sharing, and application, while financial performance was assessed using indicators of profitability, revenue growth, and investment efficiency. The data were standardized and analyzed using k-means clustering, with the optimal number of clusters determined through the elbow method and silhouette coefficient. The results reveal two distinct clusters. The first cluster represents knowledge-driven and financially resilient Batik SMEs with strong knowledge management capabilities and superior financial performance. The second cluster consists of resource-constrained and knowledge-lagging SMEs characterized by weak knowledge utilization and lower financial outcomes. These findings highlight the critical role of knowledge management in shaping financial performance and emphasize the need for differentiated managerial strategies and policy interventions to enhance the sustainability of Batik SMEs.
Optimizing rice production inputs for enhanced smallholder income: An agent-based modeling and simulation approach Rusman, Muhammad; Almukarramah, Annisa; Handayani, Dwi
Journal Industrial Servicess Vol 12, No 1 (2026): April 2026
Publisher : Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62870/jiss.v12i1.38844

Abstract

Rice production output among farmers in rural areas varies across individuals, leading to income disparities. These differences are influenced by variations in farmers’ behavior in managing rice cultivation, which directly affect production levels. To capture this dynamic, this study develops an agent-based modelling and simulation (ABMS) approach to represent the rice production process. The objective is to design a model that describes the roles, behaviors, and interactions of agents and to formulate improvement scenarios for system performance. Data were collected through interviews with farmers and middlemen. The simulation was implemented using NetLogo 6.3.0, following stages of conceptual model development, problem formulation, model construction, verification and validation, and scenario development. The model consists of three agents: farmers, rice plants, and pests. Farmers act as decisionmakers by controlling production inputs that influence plant–pest interactions. The simulation was executed 130 times using different input combinations, including a fixed seed quantity of 40 kg, fertilizer ranging from 100–1000 kg (100 kg intervals), and pesticide ranging from 400–1000 g (50 g intervals). The results show that the optimal scenario—40 kg seeds, 400 kg fertilizer, and 400 g pesticide—can increase farmers’ income by IDR 2,742,472 compared to actual conditions. Overall, the ABMS approach effectively captures interactions among agents and provides a scenario that improves rice production performance and farmer income.
ISO 9001:2015 quality management system design for wooden pallet manufacturing using system entity analysis and BPMN 2.0 Rakhmasari, Aster Aryati; Bani, Fajar Ciputra Daeng; Abdusyakur, Muhammad Zulfan; Dharmayanti, Indrani; Siregar, Maryadi Tirtana
Journal Industrial Servicess Vol 12, No 1 (2026): April 2026
Publisher : Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62870/jiss.v12i1.35323

Abstract

The wooden pallet industry plays a critical role in logistics and supply chain management, yet many companies lack standardized quality management practices, leading to high variability in product quality and order rejections. Although ISO 9001:2015 provides a widely recognized framework for quality management, prior studies have mostly addressed general implementation, with limited focus on industry-specific challenges. This study fills this gap by designing a comprehensive quality management system (QMS) tailored for the wooden pallet sector, integrating system entity analysis and business process modeling (BPMN 2.0) to establish standardized procedures aligned with ISO 9001:2015. A case study of a wooden pallet manufacturing company demonstrates the framework’s potential to improve process standardization, resource utilization, and organizational competitiveness. The proposed QMS serves as a practical roadmap for industry adoption, enhancing quality consistency and operational efficiency. Future research should validate the framework across multiple organizations to confirm its generalizability and effectiveness.
Assessment of project management maturity in EPC company using project management maturity model (PMMM) framework Revikesya, Candrikha; Oktafiani, Ayudita; Permatasari, Intan
Journal Industrial Servicess Vol 12, No 1 (2026): April 2026
Publisher : Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62870/jiss.v12i1.34672

Abstract

Project performance, particularly in terms of schedule efficiency, remains a critical issue in Engineering, Procurement, and Construction (EPC) projects due to its inherent complexity. Previous studies have highlighted that insufficient project management capability is a key factor contributing to project delays and inefficiencies. However, empirical studies examining project management maturity in EPC organizations remain limited. This study aims to assess the project management maturity level of an EPC organization using the Project Management Maturity Model (PMMM). A quantitative approach was employed using a structured self – assessment questionnaire covering ten project management knowledge areas. The data were analyzed using ordinal measurement, where the maturity level was determined based on the lowest maturity score across all knowledge areas. The results indicate that the organization is at Level 2 of maturity, with variations across knowledge areas ranging from Level 2 to Level 4. Critical areas, project resource management, were identified as having lower maturity levels. These findings suggest that although basic project management processes already exist, their implementation remains inconsistent and not yet standardized across the organization. The study also highlights the importance of advancing toward higher maturity levels to improve consistency, coordination, and project performance. The findings contribute to the understanding of project management maturity in EPC environments and provide practical insights for organizations to enhance their project management capability.
Scenario-based discrete-event simulation for production bottleneck identification and capacity optimization in garment small and medium enterprises Purnama, Dwi Adi; Haryanto, Zelania In
Journal Industrial Servicess Vol 12, No 1 (2026): April 2026
Publisher : Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62870/jiss.v12i1.35532

Abstract

This study addresses production system inefficiencies in garment manufacturing, particularly related to flow imbalance, bottlenecks, and low throughput in multi-stage production lines. A discrete-event simulation (DES) model was developed using FlexSim 6.0 to evaluate material handling and processing performance in a six-stage garment production system. The model was validated using statistical tests, confirming its ability to represent real-world system behavior. The results indicate that severe capacity imbalance at the sewing stage leads to critical system inefficiencies, characterized by extremely high blocking rates (up to 92.10%), high resource idleness in upstream processes, and low throughput performance, with only 60 units produced from 760 input materials. To address this issue, multiple improvement scenarios were evaluated through simulation-based experimentation. The findings show that increasing capacity at key bottleneck stages significantly improves system performance, with the best scenario increasing daily output to 171–184 units. Statistical analysis confirms that the improvements are significant across all scenarios. This study contributes methodologically by demonstrating a simulation-based framework for identifying bottlenecks, evaluating system performance, and testing capacity improvement strategies in garment production systems. Unlike case-specific problem-solving approaches, the proposed framework provides a generalized analytical approach applicable to similar multi-stage manufacturing environments. The findings highlight the importance of capacity balancing and system-level optimization in improving production efficiency. The proposed approach offers practical insights for production system design and supports the application of simulation as a decision-support tool in industrial engineering contexts.
GIS-based hybrid AHP–random forest model for optimal waste transfer station siting: A case study Syahputra, Rizki Agam; Sofiyanurriyanti, Sofiyanurriyanti; Kasmawati, Kasmawati; Irawan, Risnadi; Kamal, Mustafa; Agustavia, Putri Sarina
Journal Industrial Servicess Vol 12, No 1 (2026): April 2026
Publisher : Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62870/jiss.v12i1.34731

Abstract

Rapid urbanization and post-disaster recovery in developing cities present significant challenges for municipal solid waste management, escalating operational costs and environmental burdens. The primary logistical bottleneck is often the inefficient placement of intermediate waste infrastructure. This study addresses this gap by proposing and validating a novel hybrid spatial decision support framework for the optimal siting of Temporary Waste Transfer Stations (TWTS) in Meulaboh, Indonesia. The framework integrates a Geographic Information System (GIS) with the Analytic Hierarchy Process (AHP) and a Random Forest (RF) machine learning model. AHP structures the problem using expert knowledge and local regulatory standards to generate an initial suitability map. To overcome AHP's linearity and subjectivity, this map generates pseudo-labeled data to train the RF model, which learns complex, non-linear relationships among spatial factors. The RF model demonstrated exceptional performance with an Area Under the Curve (AUC) of 0.96. The framework evaluated 43 villages (Gampong), identifying specific areas in Meureubo and Johan Pahlawan as top candidates due to favorable land use and proximity to road networks. This hybrid approach offers a robust, transparent, and scalable methodology for post-disaster urban infrastructure planning.

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