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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 458 Documents
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Integration of SERVQUAL and Six Sigma for enhancing academic service quality in departments and laboratories: A case study Ulfah, Maria; Arina, Faula; Sonda, Atia; Muharni, Yusraini; Anggraeni, Shanti Kirana; Gunawan, Akbar; S. Muttaqin, Ade Irman
Journal Industrial Servicess Vol 11, No 1 (2025): April 2025
Publisher : Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62870/jiss.v11i1.29226

Abstract

Academic services are super important for shaping how students experience their education and feel about their school. The quality of these services, whether in academic departments or laboratories, affects how well students perform, how engaged they are, and what they think of their institution. This study sets out to figure out the lowest gap value, calculate the sigma value and satisfaction level, and suggest ways to improve the academic services in the Department and Laboratory. We used Servqual and Six Sigma methods to dig into this. The results showed that all service attributes, for both the department and the lab, had negative gap values. For department services, the total sigma value was 2.205 with an average satisfaction level of 76.2%. For lab services, it was a sigma of 2.274 and a satisfaction level of 78.04%. The biggest issue for both was the same: the comfort of the study room in the department and the practicum room in the lab, which were rated as super important but had the lowest satisfaction. Using the 5W + 1H method, we came up with practical suggestions to fix what’s making students unhappy.
Analysis of the modernity, effectiveness and safety of two industrial cutting machines Kevin, Tsapi T; Desire, Soh Fotsing B.; Kenmeugne, Bienvenu
Journal Industrial Servicess Vol 11, No 1 (2025): April 2025
Publisher : Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62870/jiss.v11i1.31715

Abstract

In the face of global competition and technological advancements, modernizing industrial equipment is critical for enhancing productivity and safety in manufacturing. To explore this issue, this study assessed the modernity, effectiveness, and safety of two industrial cutting machines—a power hacksaw and a band saw—in the context of planned organizational changes to improve technological competitiveness. The study used several metrics, including the ABC technology method, Overall Equipment Effectiveness (OEE), and occupational safety levels derived from operator interviews, direct observation, and historical data analysis. The McKinsey matrix was used to summarize the findings. The results showed that both machines were below modern standards, with technology levels of 2.5 (power hacksaw) and 2.4 (band saw) on a 5-point scale. OEE measurements revealed performance gaps, with the band saw and power hacksaw operating at 65.5% and 71% of their full potential, respectively. Occupational safety levels were moderate at 3–3.2 on a 5-point scale, indicating a relatively low risk of accidents. The McKinsey matrix scores (290 and 320 out of 650) further highlight the lack of market competitiveness of the machinery. The study, limited to two small and medium-sized manufacturing companies in Bamenda, Cameroon, where reliance on outdated technology persists, underlines the need for modernization and improved equipment to increase productivity and safety. It contributes to the discourse on Africa's manufacturing challenges by suggesting actionable metrics for moving the sector forward.
Assessing university service quality and student satisfaction using PLS-SEM Isniah, Sarah; Supriatna, Ade; Prawesti, Gita; Dhuha, Hidayat
Journal Industrial Servicess Vol 11, No 1 (2025): April 2025
Publisher : Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62870/jiss.v11i1.29023

Abstract

Student satisfaction is a critical indicator for maintaining the competitiveness and reputation of higher education institutions. To ensure continuous improvement and meet student expectations, this study aims to evaluate student satisfaction within the Faculty of Engineering at a higher education institution by analyzing service quality gaps using the Partial Least Squares - Structural Equation Modeling (PLS-SEM) method. Five service dimensions—Tangible (physical facilities), Reliability (dependability), Responsiveness (promptness), Assurance (staff competence), and Empathy (personalized care)—were assessed through quantitative questionnaires and qualitative data. The analysis results indicate that Tangible, Responsiveness, Assurance, and Empathy have a significant influence on student satisfaction, while Reliability does not show a meaningful effect. The model demonstrates a substantial ability to explain the variation in student satisfaction and shows good predictive relevance. Based on these findings, strategic recommendations are proposed to enhance physical facilities, improve service responsiveness, strengthen staff competence, and adopt more personalized service approaches to bridge the gap between student expectations and actual experiences. These insights provide a solid foundation for improving academic and administrative services, thereby contributing to better educational outcomes and enhancing the institution’s overall competitiveness.
Strengthening screw shaft measurement system in teaching factory through measurement system analysis: A case study Sumasto, Fredy; Samudra, Bayu; Hakim, Ali Rachman; Imansuri, Febriza; Pratama, Indra Rizki
Journal Industrial Servicess Vol 11, No 1 (2025): April 2025
Publisher : Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62870/jiss.v11i1.30298

Abstract

Ensuring accurate measurement of precision components is critical in the automotive industry. This study investigates measurement challenges for screw shaft components at the Teaching Factory of Politeknik STMI Jakarta. The initial measurement system performed poorly, with 100% total variation attributed to measurement error and a Number of Distinct Categories (Ndc) of 1, indicating an inability to distinguish product variations. To address this, a Measurement System Analysis (MSA) using the Gage Repeatability and Reproducibility (GRR) method was conducted. Improvements, including operator training, regular calibration, and a custom jig fixture, were implemented. As a result, the GRR value decreased to 26.27%, with repeatability contributing 25.40% and reproducibility 6.74%. The Ndc value increased to 5, reflecting improved capability to differentiate product variations. These outcomes demonstrate that MSA is an effective strategy for evaluating and enhancing measurement systems. It is particularly valuable in vocational education settings to ensure measurement reliability, maintain quality standards, and support industry-relevant skill development.
Development of an Android-based quality detection system for young coconut with ADDIE and ISD Wahyudin, Wahyudin; Herwanto, Dene; Nisah, Firda Ainun; Nugraha, Billy; Wahid, Taufik Nur; Fitrianto, Wahyu
Journal Industrial Servicess Vol 11, No 1 (2025): April 2025
Publisher : Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62870/jiss.v11i1.28116

Abstract

The demand for high-quality young coconuts is growing as public awareness of their health benefits continues to rise. However, manually identifying the quality of young coconuts is often inaccurate and time-consuming. This research aims to address this issue by developing an Android-based application for detecting the quality of young coconuts, utilizing the ADDIE (Analysis, Design, Development, Implementation, Evaluation) and ISD (Instructional System Design) models. The ADDIE  model serves as the framework for system development, while the ISD model helps structure the application's content and functionality. Data collection involved a comprehensive literature review of relevant references, along with testing the application on various young coconut samples. The testing process measured the accuracy of the application's quality detection compared to traditional manual methods. The results demonstrate that the developed application can detect the quality of young coconuts with high accuracy, providing a reliable tool for farmers and consumers to select high-quality produce. Beyond improving accuracy, this application is expected to enhance efficiency in quality assessment, add value to the agricultural industry, and reduce reliance on subjective manual evaluations. By streamlining the process of identifying quality young coconuts, the application has the potential to optimize their distribution and sales in the market, benefiting both producers and consumers.
Analysis of mental workload during exams in hybrid learning in the new normal era post-pandemic Yadi, Yayan Harry; Umyati, Ani; Mariawati, Ade Sri; Lady, Lovely; Dewantari, Nustin Merdiana; Herlina, Lely; Alvizar, Rezi
Journal Industrial Servicess Vol 11, No 1 (2025): April 2025
Publisher : Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62870/jiss.v11i1.21976

Abstract

During the Covid-19 pandemic, most universities implemented distance learning to prevent the spread of the virus. After the pandemic, the learning process shifted to a hybrid method, combining both offline and online instruction. This hybrid system is applied to certain courses, featuring face-to-face classroom sessions alongside video conferencing for lectures. However, the hybrid learning approach has led to a decline in the student achievement index for some students, highlighting the need to evaluate their mental workload. Therefore, this study aimed to measure students’ mental workload during both online and offline exams using the NASA Task Load Index (NASA-TLX) method. The results showed a higher average mental workload score for offline exams compared to online exams. Statistical analysis revealed a significant difference between the scores, indicating a notable disparity in mental workload between offline and online exams. In conclusion, the mental workload associated with hybrid learning—particularly during exams—is considered high.
Halal control point (HCP) analysis in the raw material supply chain using the failure mode effect and criticality analysis (FMECA) method Sadeli, Akhmad; Rosyidi, Khafizh
Journal Industrial Servicess Vol 11, No 1 (2025): April 2025
Publisher : Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62870/jiss.v11i1.33435

Abstract

The growing demand for halal-certified food in institutional food services underscores the importance of structured risk management across the raw material supply chain. Despite regulatory requirements, many food service providers still face challenges in identifying and controlling halal-related risks, particularly in upstream processes. This study employed a cross-sectional design and applied the Failure Mode, Effects, and Criticality Analysis (FMECA) method to assess and prioritize halal risks across eight categories of raw materials. Data were collected from 30 respondents, including procurement staff, team leaders, and crew members, using structured questionnaires and interviews. Risk Priority Numbers (RPNs) were calculated based on severity, occurrence, and detection scores. The findings showed that meat and meat products had the highest RPN (94), indicating a tolerable but high-priority risk requiring strict control measures during procurement. Other categories, such as extra food, snacks, vegetables, fruits, spices, side dishes, and rice, were classified as acceptable risks but still require regular monitoring. These results highlight the effectiveness of the FMECA method in identifying critical Halal Control Points (HCPs) and supporting risk-based decision-making within halal assurance systems. Institutional food service providers are encouraged to adopt quantitative methods, such as FMECA, to enhance the effectiveness of halal risk mitigation strategies. Further studies with a broader scope and cross-industry comparisons are needed to strengthen halal integrity across diverse supply chain contexts.
Optimal location selection for a new processing plant using supply chain and distribution network analysis Musa, Adekunle Ibrahim
Journal Industrial Servicess Vol 11, No 1 (2025): April 2025
Publisher : Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62870/jiss.v11i1.31534

Abstract

Selecting an optimal processing plant location is a critical decision in supply chain management, directly affecting operational efficiency, cost-effectiveness, and distribution logistics. This study aims to identify the most suitable location for a new processing plant that sources raw materials from three suppliers and distributes finished products to two distribution points. We employed the Center-of-Gravity method to determine the optimal geographical location and a cost-minimization model to ensure minimal transportation expenses. We analyzed data on supply capacities, demand requirements, transportation costs, and geographical coordinates. The Center-of-Gravity calculations identified an optimal location at coordinates (24.67, 19.50). Further cost-optimization modeling revealed that this location reduces total transportation costs to NGN 80,500.00, yielding lower costs than alternative sites. These findings confirm that an optimally selected plant location significantly lowers logistics costs and enhances supply chain efficiency. This study underscores the effectiveness of integrating quantitative techniques in facility location decisions. To further refine such analyses, future research could incorporate real-time traffic data, infrastructure availability, and environmental factors. These insights offer valuable guidance for industries seeking cost-efficient, strategically positioned processing facilities.

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