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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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Mathematical model for university online exam scheduling considering lecturer preferences Febianti, Evi; Ilhami, Muhammad Adha; Hidayat, Arif
Journal Industrial Servicess Vol 10, No 2 (2024): October 2024
Publisher : Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62870/jiss.v10i2.28571

Abstract

Zoom accounts are used as an alternative for online teaching and learning activities during the pandemic. The Industrial Engineering Study Program at Sultan Ageng Tirtayasa has been scheduling online exams and determining the number of Zoom accounts needed manually, which has resulted in an insufficient number of Zoom accounts to meet all course schedules. Proper online exam scheduling can optimize the number of Zoom accounts required. This study aims to determine the number of Zoom accounts needed for online exams by developing a mathematical model. The model developed is an Integer Linear Programming (ILP) model, with the objective of minimizing the number of Zoom accounts required. The problem is solved using an optimization approach with deterministic parameters. The model provides recommendations for decision-making in the implementation of online exams, including determining the exam timetable and the number of Zoom accounts to be rented. The computational results show that the developed model provides an optimal solution, requiring only three Zoom accounts.
Prevalence and factors associated with work related musculoskeletal disorders of patient transfer by nurses in health care Widodo, Silvi Rushanti; Dewi, Ratna Sari; Widyaningrum, Retno
Journal Industrial Servicess Vol 10, No 2 (2024): October 2024
Publisher : Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62870/jiss.v10i2.28265

Abstract

Musculoskeletal disorders (MSDs), or muscle injuries, are some of the most common health problems worldwide. These disorders can have serious consequences, affecting physical health, mental well-being, time, productivity, and finances, often leading to significant losses. This study aims to identify the prevalence and factors linked to work-related musculoskeletal disorders (WRMSDs) among nurses who perform patient transfers in healthcare settings. A cross-sectional study was carried out from July to August 2023. The study included all nurses working in healthcare facilities during this period who met the inclusion criteria. Eligible participants were licensed nurses with at least one year of experience in the selected hospitals. Nurses who were unwilling to participate or unavailable during the data collection period were excluded. The study aimed to include the entire population of nurses working in the hospital, and the final sample was selected using purposive sampling. During the data collection phase, 40 nurses were available and met the eligibility criteria for participation. The findings revealed that gender is associated with musculoskeletal disorders among nurses [AOR: 2,110, 95% CI (0,165–27,017)]. Age [AOR: 0,000] and body mass index (BMI) [AOR: 0,345, 95% CI (0,077–1,538)] were also significant factors. Nurses over 35 years old and those who were obese had a higher risk of developing musculoskeletal disorders. Work experience more than 20 years was another factor linked to MSDs [AOR: 2,646, 95% CI (0,188-37,233)]. Additionally, education level and marital status were found to be associated with these disorders. In conclusion, a significant proportion of nurses involved in patient transfers experience work-related musculoskeletal disorders, with the lower back and neck being the most commonly affected areas. Key factors contributing to WRMSDs include gender, age, body mass index, work experience, education level, and marital status.
Lean ergonomics: A three-dimensional analysis of progress, practical challenges, and prospective research Nofirza, Nofirza; Hadiguna, Rika Ampuh; Amrina, Elita
Journal Industrial Servicess Vol 10, No 2 (2024): October 2024
Publisher : Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62870/jiss.v10i2.28793

Abstract

Lean systems and ergonomics are two organizational approaches that were initially practiced independently. Over time, however, it has become evident that while lean methodology emphasizes efficiency and waste reduction, it often overlooks the human factor, which can compromise worker health and safety. On the other hand, applying ergonomics without incorporating lean principles may lead to inefficiencies and increased costs. This trade-off has sparked growing interest in integrating ergonomic considerations into lean practices within manufacturing. Despite this interest, comprehensive studies on lean ergonomics remain scarce. This research aims to explore the development of lean ergonomics implementation over the past five years. Using a Systematic Literature Review (SLR) methodology, the study analyzed articles from two Scopus-indexed databases, identifying 196 articles containing the keywords Lean, Ergonomics, and Manufacturing Industries. Following the PRISMA framework and applying inclusion criteria, only 18 papers were found to thoroughly address the integrated implementation of lean ergonomics in manufacturing industries. The majority of these studies originated from Portugal (33.33%) and India (16.67%). Case studies emerged as the dominant research methodology (55.56%), leading to the development of lean ergonomic tools such as Ergo-VSM, ErgoSMED, and WIDEA. Other methodologies included literature reviews (22.22%), qualitative research (16.67%), and grounded theory (5.56%). The findings suggest that implementing lean ergonomics has positive impacts, including reduced setup times, decreased ergonomic risks, and improved workplace conditions. While ergonomic interventions may involve additional costs, these are viewed as long-term investments. In conclusion, the existing literature indicates that the implementation of lean ergonomics is still limited and lacks comprehensiveness. Future research could focus on practical applications in industry and evaluate their effectiveness to strike a balance between operational efficiency and worker well-being.
Benefits of implementing Industry 4.0 technology in health services Zulkarnaen, Iskandar; Prasmoro, Alloysius Vendhy; Nuryono, Arif; Nugroho, Oki Widhi; Kurnia, Hibarkah
Journal Industrial Servicess Vol 10, No 2 (2024): October 2024
Publisher : Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62870/jiss.v10i2.28364

Abstract

The development of Industry 4.0 technology has progressed rapidly across various business sectors, including healthcare. Since the pandemic, the adoption of Industry 4.0 technologies in health services has become increasingly essential for patient care and health reporting systems. The healthcare industry demands efficiency and effectiveness, and today, numerous Industry 4.0 applications are widely utilized to streamline critical business functions in this sector. Numerous studies exploring the implementation of Industry 4.0 in healthcare can be found in academic publications. This research aims to analyze and provide a segmented review of parameters derived from a collection of articles, highlighting the extent to which Industry 4.0 technologies, or Health 4.0 (H4.0), are applied in the healthcare sector. The study employs a Systematic Literature Review (SLR) approach, drawing on research from various journals and conducting a comprehensive literature review of articles sourced from well-known databases related to Industry 4.0 in healthcare. The research identifies key Industry 4.0 technology segments based on data collected from 2019 to 2023. The findings contribute to the body of knowledge in industrial engineering, particularly in operations research and analysis, by demonstrating that the application of H4.0 is widely implemented across various segments in healthcare services. Additionally, this research offers practical insights by providing solutions for implementing Industry 4.0 technologies in healthcare, aligned with the identified segment parameters.
Quality control analysis in tofu production using Lean Six Sigma and Design of Experiments to reduce defects Ridwan, Asep; Trenggonowati, Dyah Lintang; Nur'aini, Nur'aini
Journal Industrial Servicess Vol 10, No 2 (2024): October 2024
Publisher : Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62870/jiss.v10i2.29642

Abstract

This research focuses on the quality issues faced by a micro, small, and medium enterprise (MSME) in the food sector, specifically in tofu production. The production process still generates defective products, with a defect rate of 2% to 3% per day. Further observations identified several types of waste in the production process, including overproduction, defects, motion, waiting, transportation, and overprocessing, with defects being the most dominant. To address this issue, this study applies to the Lean Six Sigma method to control product quality. Through analysis using a questionnaire on the seven types of waste, five Critical to Quality (CTQ) factors were identified: dirty defects, splitting defects, hole defects, size defects, and color defects. The study also analyzes the production cycle time, revealing a lead time of 9 hours and 50 minutes, with a total value-added time of 7 hours and 49 minutes. The Defects Per Million Opportunities (DPMO) value is 5,605.31, and the sigma value is 4.0364, indicating that product quality is at an average industry level. An improvement plan was formulated using an experimental design. The proposed improvements were implemented by setting the soybean soaking time to 4 hours, the boiling time to 30 minutes, and the coloring time to 2 hours. After implementation, the percentage of defective tofu products decreased from 2.13% to 0.32%. These results demonstrate that applying the Lean Six Sigma method significantly enhances product quality and production efficiency for the MSME.
Identifying customer needs for electric bicycle product design using the Kano model and Quality Function Deployment (QFD) Sahrupi, Sahrupi; Dzulkifli, Dzulkifli; Rosihin, Rosihin
Journal Industrial Servicess Vol 10, No 2 (2024): October 2024
Publisher : Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62870/jiss.v10i2.28441

Abstract

This research aims to identify user preferences regarding product quality, specifically in the design of electric bicycles. The study was conducted using the Kano Model and Quality Function Deployment approaches. The research process began with identifying customer complaints about electric bicycle quality, followed by a literature review, designing research instruments, determining the target segment of electric bicycle users, collecting and processing data, and designing geometric representations of the product. The results identified seven attributes classified under the Attractive category in the Kano Model. Based on the House of Quality analysis and consumer needs, several recommendations were made to enhance product quality. The proposed design improvements include adding turn signals to the front and rear, designing a radius-shaped backrest with specific dimensions, implementing an adjustable height lever, creating social media advertisements and collaborating with public figures, modifying handlebars for better ergonomics, offering metallic and matte color options, and increasing battery capacity from 12 Ah to 20 Ah. These findings contribute to the development of electric bicycles that better meet consumer expectations and enhance user satisfaction.
Analysis of factors influencing the use of digital payments on student purchase levels using Structural Equation Modeling (SEM) Azahra, Nathania Nabilla; Larasati, Aisyah; Kuswardani, Chintia Dwi Wangsa
Journal Industrial Servicess Vol 10, No 2 (2024): October 2024
Publisher : Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62870/jiss.v10i2.28798

Abstract

Technological advancements have driven the growth of digital payments, making them increasingly essential in everyday transactions. In Indonesia, Generation Z dominates its usage; however, the system is still evolving and continuously adapting to technological changes and user needs. This study aims to analyze the factors influencing students' interest in adopting digital payment services in Malang City and their impact on purchasing levels. Adapting the Technology Acceptance Model (TAM) and the Theory of Planned Behavior (TPB), this research examines Perceived Benefits (PB), Perceived Ease of Use (PEU), Attitude (A), Subjective Norm (SN), and Behavioral Control (BC). Data was collected through a questionnaire distributed to 225 students and analyzed using Structural Equation Modeling (SEM). The results show that Perceived Benefits (PB) and Attitude (A) have a direct influence on students' interest in using digital payments. Additionally, PB and PEU positively and significantly affect Attitude (A). Another key finding reveals that Student Interest has a negative and significant effect on Purchase Level, indicating that students with a high interest in digital payments tend to be more selective in making purchases.
Analysis of pipe material classification using the MUSIC-3D method in the oil and gas industry Winoto, Erwin Shafira; Qisthani, Nabila Noor
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.v11i1.29831

Abstract

The oil and gas industry plays a crucial role in meeting global energy needs, significantly impacting sectors like energy, manufacturing, and transportation. Managing material inventory effectively is vital to keeping production processes running smoothly. Pipes, which are essential for transporting fluids and gases, come into various materials, sizes, and specifications, making accurate classification a must. To prioritize material needs efficiently, a thorough classification based on historical usage data is essential. This study explores how to set material priorities and develop inventory control policies using the MUSIC-3D method, which combines ABC, SDE, and FSN analyses. Our findings show that 45 materials fall into the very high-priority category, 91 are moderately high priority, and just 1 is low priority. These classifications help shape inventory policies by evaluating material criticality, procurement lead times, and usage rates. We suggest adjusting parameters like Economic Order Quantity (EOQ), Safety Stock (SS), Reorder Point (ROP), and ordering schedules to balance material availability with cost efficiency. This approach ensures that critical materials are always on hand while keeping storage costs and procurement risks to a minimum.
Unsafe work practices and work-related stress in motorcycle repair shops: A cross-sectional analysis Kurnia, Fikrihadi; Suartika, I Made
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.v11i1.27423

Abstract

Background: Motorcycle repair shops in developing economies often operate with inadequate safety standards, exposing workers to health and safety hazards. This study aimed to investigate the relationship between unsafe work practices and work-related stress among motorcycle mechanics in Lombok, Indonesia. Methods: A cross-sectional study design was employed, with data collected using self-administered questionnaires from a sample of 148 male motorcycle repair workers. Descriptive statistics, validity and reliability testing, and Chi-Square tests, used to analyze the data. Results: The study found a significant association between working while visibly sick (presenteeism) and elevated stress levels. Additionally, working while visibly fatigued was also associated with increased stress. Discussion: These findings highlight the detrimental impact of presenteeism and fatigue on worker well-being within the motorcycle repair industry.  The lack of association with other unsafe practices suggests that additional workplace stressors may be influential in this setting. Conclusions: Employers in the motorcycle repair industry should prioritize policies that discourage working while sick and promote adequate rest to mitigate stress and potential safety risks. Further research, including qualitative methods and diverse samples,  is needed to fully understand the complex interplay between unsafe practices, stress, and other workplace factors affecting worker well-being.
Enhancing engineering student retention at Indonesian private university through improved interpersonal interactions and social integration Talar, Yulianti; Gozaly, Jimmy; Vania, Grace
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.v11i1.29673

Abstract

The high dropout rate among engineering students in Indonesia, particularly at private universities, sets the stage for this research. We explored how interpersonal interaction and social integration influence students' commitment to finishing their degrees. To do this, we collected data through a questionnaire distributed to engineering students at a private university, focusing specifically on those who had just completed their first semester. In total, we gathered 101 responses. Our analysis, using binary logistic regression, revealed two key factors that positively impact student commitment: CSIMILAR, representing a sense of similarity or connection among peers, and CORGPROG, indicating involvement in program-level activities such as student associations, comparative studies, or new student orientations. Further analysis using crosstabulations and correspondence analysis helped clarify the relationship patterns between these factors and other variables. Based on these findings, we recommend that engineering faculty and study program management actively develop various activity groups and organize a diverse range of student events, as these efforts should help strengthen students' commitment to completing their studies.

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