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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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Bibliographic analysis: Research prospects for work-life balance of women workers in engineering Zetli, Sri; Susanti, Lusi; Jumeno, Desto
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.v10i2.26036

Abstract

Work-life balance is a significant issue today, especially for women workers, who often experience role conflict. Besides their professional roles, women also have responsibilities at home, making balancing work and life outside the workplace one of their primary challenges. This article aims to analyze scientific publications on work-life balance among female workers using bibliometric analysis to identify research opportunities in the field of engineering. The Scopus database was utilized for data mining, and data analysis was conducted using VOSviewer. A total of 123 documents were identified from the 2019–2024 period, with South Korea leading in publications (15 documents and 63 citations), followed by the United States, which had fewer publications (14 documents) but the highest number of citations (240 citations). The research subject areas were predominantly Medicine (27.8%), with only 4.7% focusing on Engineering. The majority of research subjects were healthcare workers (33%), while only 5% specialized in the industrial sector. The International Journal of Environmental Research and Public Health was the most frequently referenced source. Commonly discussed impacts of work-life balance influenced by gender include mental health, job satisfaction, and burnout. However, no studies specifically focus on female workers in the manufacturing industry to examine the effects of work shifts on work-life balance and their implications for occupational health and safety, work accidents, and musculoskeletal pain. Future research should address this gap by applying engineering studies to explore these challenges.
The integration of Fuzzy FMEA and AHP methods for optimizing of logistic systems Panudju, Andreas Tri; Mahuda, Isnaini; Marfuah, Umi; Mutmainah, Mutmainah; Sudarwati, Wiwik
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.v10i2.27727

Abstract

This study seeks to enhance the logistics system of a logistics company through the integration of Fuzzy FMEA and AHP methodologies. The focus is on optimizing efficiency and quality within the logistics system to meet competitive market demands. The issue at hand is the potential for breakdowns in manufacturing and distribution processes, which may impede overall performance. The aim is to detect possible failures, assess failure risks using the Fuzzy FMEA method, and improve decision-making through the AHP method. The research methodology includes a literature review, data analysis, and the use of Expert Choice software for weight calculations and rankings. Data were collected from the decision-makers involved in the company. The findings show that the integration of Fuzzy FMEA and AHP methodologies can effectively identify potential failures, assess risks with greater accuracy, and prioritize improvement measures within the logistics framework of a traditional bag factory. In summary, the integration of Fuzzy FMEA and AHP methodologies can enhance risk management and decision-making within the logistics system, mitigate failure risks, optimize production and distribution processes, and more effectively meet client requirements. This integration presents an innovative approach to improving logistics systems.
A review of energy-aware multi-objective hybrid flow shop scheduling with parallel machines in manufacturing systems Saptiyadi, Arif; Arina, Faula; Kurniawan, Bobby
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.v10i2.30920

Abstract

Hybrid flow shop scheduling (HFSS) with parallel machines has gained attention among researchers in manufacturing systems because of its critical role in enhancing production efficiency. This type of production system is widely implemented in modern factories today. This production system combines the characteristics of a job shop and flow shop, with each stage having more than one machine capable of processing all jobs. This review provides a comprehensive analysis of HFSS, focusing on the integration of parallel machines to address real-world manufacturing complexities. Key topics covered include problem formulations, mathematical models, heuristic and metaheuristic approaches, and recent advancements in solution techniques. The study highlights the advantages and limitations of various methodologies, emphasizing their applicability in diverse industrial contexts. Furthermore, the review identifies current trends, such as the incorporation of artificial intelligence and Industry 4.0 technologies, as well as gaps in the literature that require further exploration. By synthesizing existing research, this paper aims to guide future studies and offer practical insights for practitioners aiming to enhance scheduling performance in dynamic manufacturing environments.
Measurement model for national logistics cost of Indonesia Saragih, Nova Indah; Turnip, Peri
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.v10i2.27313

Abstract

National logistics costs are a crucial indicator for nations to monitor and evaluate the efficiency of their logistics activities. They also serve as an essential foundation for economic growth. A lack of data is the primary challenge in measuring national logistics costs. To accurately assess these costs, countries must have reliable statistics on transportation and inventory. Without such data, estimating logistics costs becomes highly challenging, and the results are often unreliable. This research aims to develop a national logistics cost model for Indonesia. The key contribution of this study is that it represents the first effort to create a logistics cost model specifically for Indonesia. The model is developed based on the frameworks used in the United States of America, the Republic of Korea, and South Africa, adjusted to fit the data available in Indonesia. It comprises three main components: transportation costs, inventory handling costs, and administrative costs. Transportation and inventory handling costs are modeled based on the approach used in the Republic of Korea, while administrative costs are based on the model from the United States of America. This study introduces 25 calculation scenarios, and based on the selected scenario, the average national logistics cost of Indonesia from 2004 to 2010 is found to be 27.94% of GDP.
Risk management in the corn commodity supply chain as a raw material for sustainable poultry feed: A systematic literature review Kulsum, Kulsum; Fauzi, Anas Miftah; Sailah, Illah; Suparno, Ono; Lembito, Hoetomo
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.v10i2.26383

Abstract

Corn is a strategic agricultural commodity due to its benefits and essential role in various sectors. It is not only used for food but also as a raw material for industries, including agro-industry and poultry feed. Approximately 40% to 50% of the raw materials for poultry feed are derived from corn. In the corn supply chain, fulfilling raw material requirements for poultry feed involves several risks that must be addressed, as they can impact the quality, quantity, price, and sustainability of corn. Therefore, it is crucial to identify existing risks, develop appropriate risk mitigation strategies, and implement effective supply chain risk management (SCRM) approaches. This study employs the PRISMA method to conduct a systematic literature review, synthesizing published studies on risks within the corn supply chain as a raw material for poultry feed. Data sources include Scopus, ScienceDirect, Google Scholar, and Semantic Scholar. The initial dataset comprised 1,438 papers, which were filtered to include publications from 2015 to 2023. Using the PRISMA method, the selection process resulted in 124 final reports. The analysis suggests that sustainable SCRM approaches, such as the soft system dynamics methodology (SSDM), have significant potential for application in managing risks along the corn supply chain for poultry feed production.
Cluster-specific Bi-LSTM models for improved pharmaceutical sales forecasting Hapsari, Indri
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.v10i2.26898

Abstract

In the pharmaceutical sector, accurate forecasting is imperative due to the diverse range of medicines. Inadequate inventory levels risk patient well-being, whereas excessive stock can result in financial waste. This study categorizes historical sales data from a Denpasar-based pharmacy industry into clusters via K-Means clustering, analyzing 106 medicines over 60 months, with 54 months for training and six for testing. Four distinct Bi-LSTM (Bidirectional Long Short-Term Memory) based forecasting models emerged, tailored to each cluster's characteristics. Cluster 0's model, with two input neurons and three hidden layers, underwent 220 epochs of training, achieving an MAE of (0.0835) and an MSE of (0.0165). Cluster 1's model, more intricate with ten input neurons and two hidden layers, was trained for 136 epochs, resulting in an MAE of (0.1299) and an MSE of (0.0309). Cluster 2's model resembled Cluster 0 but with reduced neurons in the hidden layers, trained for 20 epochs, yielding an MAE of (0.0899) and an MSE of (0.0380). Finally, Cluster 3's model featured two input neurons and a single hidden layer with 128 neurons, trained for 150 epochs, attaining an MAE of (0.0239) and an MSE of (0.094). Forecast application of Cluster 0's model for individual medicine using Bi-LSTM demonstrated its efficacy in predicting demand compared with machine learning forecast models such as Random Forest, Gradient Boosting, Support Vector Machine, and Neural Network. The model's adaptability to demand fluctuations can guide pharmacies in managing their inventory and optimizing supply chain operations, sales, marketing strategies, and product development.
Evaluating the quality of pole concrete production through the integration of Six Sigma and Kaizen Darmawan, Armin; Bahri, Syamsul; Fansuri, Ilham; Tahir, Nurfaidah
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.v10i2.27281

Abstract

Competitive industries can thrive by emphasizing quality, which is essential for a company's growth. This study examines the quality control of a concrete manufacturer's precast concrete electric pole products. The research aims to detect product defects and assess quality levels using the sigma level, while also suggesting improvements. However, some manufactured products still exhibit defects. To address this, Six Sigma is employed to enhance quality. The Six Sigma methodology follows five steps: Define, Measure, Analyze, Improve, and Control (DMAIC). In the Define stage, issues such as cracks, pole alignment, fin breadth, skin stickiness, lumps, ovals, and through holes are identified. According to the Pareto diagram, defects related to cracks, fin width, and skin stickiness have dominated the measurement stage over the past seven years. In the Analyze stage, factors such as insufficient supervision, failure to maintain aging machines and equipment, and uncontrolled raw materials are identified as causes. During the Improve stage, Kaizen’s 5W+1H approach is used to propose improvements. By adopting these improvement recommendations, the company can significantly reduce defects.
Model of transformational leadership style and organizational culture to increase employee performance in the logistics services industry Sirajuddin, Sirajuddin; Santoso, Ahmad Bardzuki; Katili, Putiri Bhuana; Gunawan, Akbar
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.v10i2.26059

Abstract

The rapid growth of the logistics industry has impacted competition between companies, and human resource planning is a critical factor in achieving company goals. A company's success can be determined based on the performance of its human resources. Several factors influence employee performance, including transformational leadership style, organizational culture, and work motivation. Improving employee performance to enhance success and productivity is a challenging task for every company. The purpose of this study is to examine the influence of transformational leadership style and organizational culture on employee performance, with work motivation as an intervening variable. The research method used is quantitative, with variables measured using a Likert scale. This research involved a sample of 64 employees from a logistic company. Data collection techniques included interviews and questionnaires. The data analysis was conducted using Partial Least Squares - Structural Equation Modeling (PLS-SEM) with Smart-PLS version 4. The results of this study show that transformational leadership style and organizational culture have a positive and significant effect on work motivation and employee performance. However, work motivation has a negative and insignificant effect on employee performance. Furthermore, transformational leadership style has a negative and insignificant effect on employee performance through work motivation as an intervening variable, and organizational culture has a negative and insignificant effect on employee performance through work motivation as an intervening variable.
Enhancing procurement efficiency: A business process re-engineering case in frozen food retail Hasibuan, Rizki Prakasa; Larisang, Larisang
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.v10i2.25709

Abstract

Enhancing business process performance is critical for maintaining organizational competitiveness. Delays in processes often arise from the complexity of activities supporting business operations. Procurement is a key area within this context, as it plays a vital role in fulfilling operational requirements. This study focuses on analyzing the existing procurement process and evaluating the potential benefits of adopting an e-procurement system to boost efficiency. Using the Business Process Reengineering (BPR) approach, this research assesses current workflows and proposes optimized alternatives. The study outcomes include the design of a new procurement process aligned with BPR principles, aiming to minimize costs, shorten cycle times, enhance automation, and improve information accessibility and inventory management. Implementing these changes is anticipated to enhance procurement performance and operational efficiency.
Environmental performance evaluation of gasoline supply chain in Indonesia: A life cycle assessment (LCA) approach Kurniawan, Bobby; Salsabila, Farah; Irman, Ade
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.v10i2.30925

Abstract

Environmental performance serves as a measure of a company’s responsibility toward the environment. Corporate environmental responsibility encompasses a broad range of areas, extending beyond the company’s immediate territory. Environmental damage that threatens ecosystems is primarily caused by pollution and degradation, especially within the oil and gas industry. This study investigates the environmental effects of a fuel terminal in distributing fuel to customers. A fuel distribution terminal produces four categories of environmental impacts: global warming, ozone layer depletion, acid rain, and eutrophication. The potential impact of global warming, based on three process units, is 117,664,330 kilograms of carbon dioxide equivalent (CO2 Eq.). The potential impact of ozone depletion, also based on three process units, is 274.84715 kilograms of chlorofluorocarbon-11 equivalent (CFC-11 Eq.). The potential impact of acid rain, based on three process units, is 169,227.85 kilograms of sulfur dioxide equivalent (SO2 Eq.). Lastly, the potential impact of eutrophication, based on three process units, is 259,521.64 kilograms of phosphate equivalent (PO4 Eq.).

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