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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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Mitigating organizational risks in the Secretariat of the Finance Education and Training Agency: A House of Risk methodology Anggraeni, Shanti Kirana; Wahyuni, Nuraida; Soleha, Iim Imroatu; Katili, Putiri Bhuana; Ulfah, Maria
Journal Industrial Servicess Vol 10, No 1 (2024): April 2024
Publisher : Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62870/jiss.v10i1.24578

Abstract

One regulation of the Head of the Financial Education and Training Agency (BPPK) states that the BPPK Secretariat is an Echelon II Unit within BPPK, tasked with coordinating duties, coaching, and providing administrative support to all BPPK elements. In its management process, the BPPK Secretariat encounters various opportunities and risks. This study aims to identify and manage organizational risks at the BPPK Secretariat. The House of Risk (HOR) method's Phase 1 is used for risk identification, analysis, and evaluation, while Phase 2 is used for risk mitigation. Additionally, the Failure Mode and Effects Analysis (FMEA) method is used to assess severity and occurrence, and Pareto diagrams are used to determine priority risk sources. The study identified 22 risk events, 46 sources of risk, 5 priority risk sources, and proposed 9 mitigation actions. One identified risk event is the inadequate level of employee understanding of the learning organization, with the source of risk being the lack of optimal activities that can provide understanding to employees regarding the learning organization. This source of risk is a priority risk source, leading to proposed mitigation actions such as conducting socialization, dissemination, webinars, talk shows, and assistance activities about learning organizations.
Revving up customer satisfaction: Important Performance Analysis and Customer Satisfaction Index methods in auto repair service evaluation Nurrokhman, Agus; Jawad, Aod Abdul
Journal Industrial Servicess Vol 10, No 1 (2024): April 2024
Publisher : Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62870/jiss.v10i1.24582

Abstract

A company that repairs automotive vehicles is facing several problems regarding customer satisfaction. The aim of this research is to enhance the quality of services offered to customers. To determine customer dissatisfaction, an analysis of five quality dimensions is conducted: tangibles, reliability, responsiveness, assurance, and empathy. The methods used to improve service quality are Importance Performance Analysis (IPA) and Customer Satisfaction Index (CSI). The IPA method focuses on the level of importance and performance, while the CSI measures consumer satisfaction. The results of the analysis show that the level of consumer satisfaction with services, based on CSI, is 50.30%. According to the IPA method, there are six attributes in Quadrant A that require improvement: the mechanic's ability to respond quickly to customer complaints, timeliness in service, cleanliness and comfort of the facilities provided, providing fast, accurate, and satisfactory service, and the orderly arrangement of vehicle parking areas.
Green bottle packaging design for micro, small, and medium enterprises (SME) Musdalifah, Musdalifah; Asmal, Sapta; Parenreng, Syarifuddin M.
Journal Industrial Servicess Vol 9, No 2 (2023): October 2023
Publisher : Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36055/jiss.v9i2.20016

Abstract

Plastic bottle waste constitutes a significant part of plastic waste. The extensive use of plastic bottles for packaging generates a substantial volume of waste, particularly those made from polyethylene terephthalate polymers, with high carbon chain content, resulting in slow decomposition. UMKM Markisa is among the businesses employing plastic bottles for packaging. This study aims to develop a green manufacturing strategy for MSMEs, focusing on consumer distribution. Employing the Kano and HOQ methods, the study seeks to identify consumer-desired attributes for Passion Fruit Aurora products and prioritize product development. Through 15 questionnaires distributed to 100 consumers, the study identified three attributes with the highest ratings: 16% for the choice of packaging materials, 13% for recyclable packaging, and 9% for redesigning the packaging. The research concludes by recommending the adoption of eco-friendly plastic packaging using PLA material, ensuring easier decomposition and environmental safety due to its plant-based origin. This proposal also suggests incorporating an attractive design, emphasizing the need for all MSMEs to embrace environmentally sustainable packaging.
Work posture analysis and complaint risk using Nordic Body Map (NBM) and Rapid Entire Body Assessment (REBA) methods Umyati, Ani; Mariawati, Ade Sri; Peti, Peti
Journal Industrial Servicess Vol 9, No 2 (2023): October 2023
Publisher : Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36055/jiss.v9i2.22004

Abstract

This research investigates work posture analysis and complaint risks associated with polyethylene pellets production at a petrochemical company in Cilegon, Indonesia. The concerns center on improper work postures among forklift operators engaged in repetitive tasks and loading personnel involved in manual handling, such as transferring bagged pellets onto trucks. The study aimed to identify the Nordic Body Map (NBM) questionnaire's primary complaint categories, assess the Rapid Entire Body Assessment (REBA) score, determine recommended weights for workers using Recommended Weight Limit (RWL) and lifting Index (LI) calculations, and propose enhancements to mitigate the risk of MSDs. According to the NBM questionnaire, both forklift operators and loading personnel reported experiencing moderate to high levels of Musculoskeletal Disorders (MSD) discomfort. REBA scores revealed forklift operators scoring between 5 and 6, while loading dock workers scored between 11 and 12. The estimated RWL for loading personnel in different positions is 6.531 kg, 3.5707 kg, and 6.0463 kg, respectively. Recommendations include improving the work system, conducting health assessments, revising hiring criteria, developing adjustable tables, optimizing packaging bags, establishing SOPs, and modifying forklift area components. These suggestions remain broad, with detailed plans intended for future research and implementation.
Relayout of oxygen filling area with seven waste method and green manufacturing analysis Haryudiniarti, Ayu Nurul; Samsudin, Samsudin; Restuasih, Sinta Restuasih
Journal Industrial Servicess Vol 9, No 2 (2023): October 2023
Publisher : Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36055/jiss.v9i2.21477

Abstract

PT MM aims to enhance efficiency in filling oxygen gas and reduce transportation routes by employing forklifts. They have reconfigured the company's oxygen gas supply area by eliminating damaged machines and relocating the functional ones to a new area. The proposed solution for the company involves redesigning the layout of the laser cutting machine area and optimizing it using the seven-waste method. The re-layout procedure comprises three steps: analyzing the initial layout, designing alternative layouts based on Lean Manufacturing principles, and evaluating and selecting the best layout. The alternative layout results in improved material handling efficiency and reduced transportation distances. The outcomes of this redesign included the removal of the MCP storage area, which was replaced by a minibulk and a pipe installation that connects the minibulk to each laser cutting machine. By eliminating the 20-meter square MCP tube storage area, forklift mileage in the laser cutting machine area was significantly reduced. Overall, these changes led to a 30% reduction in costs, calculated from the difference between monthly rental costs and usage costs. This initiative supports green manufacturing by decreasing Nox emissions through reduced forklift usage.
Boosting productivity through lean manufacturing efficiency in furniture Small and Medium Enterprises (SMEs) Febianti, Evi; Muharni, Yusraini; Ramdhani, Desi; Anggraeni, Shanti Kirana
Journal Industrial Servicess Vol 10, No 1 (2024): April 2024
Publisher : Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62870/jiss.v10i1.24481

Abstract

A furniture manufacturer, a Small and Medium Enterprise (SME) whose main product is wooden chairs, has experienced problems in its manufacturing process. There are products that do not meet the desired size. The purpose of this research is to identify the most dominant waste through Borda weight calculations, determine the tools used in Value Stream Analysis Tools (VALSAT), find the root causes of the problems, and provide improvement suggestions using a fishbone diagram, as well as prioritize improvement suggestions using the Analytic Hierarchy Process (AHP). The research results using Borda weighting found that the most dominant waste was defect waste with a weight of 0.29. The VALSAT tool selected was Process Activity Mapping (PAM) with a score of 5.94. Improvement suggestions based on the fishbone diagram include work supervision, scheduling equipment and machinery maintenance, raw material checks, the creation of standard operating procedures (SOPs), and human resources training. The improvement suggestion prioritized based on the AHP results was the creation of standard operating procedures (SOPs) with a weight of 0.500. The difference in Process Cycle Efficiency increased from the previous 71% to 76% after the improvements.
Cognitive failure and driving distraction on private car drivers using naturalistic driving study Al Baihaqi, Hasby; Lady, Lovely
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.v10i2.28846

Abstract

Driving requires the driver to have physical and cognitive readiness. Cognitive failure can impact driving performance and lead to accidents. This study aims to identify factors that cause cognitive failure, determine the average score of cognitive failure in private car drivers, and identify distractions frequently experienced by drivers during driving. For data collection, the observer rode as a passenger in the respondent's car and identified driving distractions using a checklist. Cognitive failure rates were measured using the Cognitive Failure Questionnaire (CFQ). The distribution of questionnaires to drivers occurred after naturalistic driving. The research found that driver cognitive failure is at a high to moderate level, with distractibility being the dominant factor. The distractions experienced were predominantly internal. The adolescent group experienced more driving distractions than the adult group.
The influence of risk perception and safety concerns on tourist decision planning: A case study on the post-tsunami Sunda straits Muharni, Yusraini; Wulan, Elis Ratna; Ulfah, Maria; Hartono, Hartono; Muttaqien, Ade Irman Saeful; Wulandari, Anting
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.v10i2.27072

Abstract

Risk perception directly influences tourists' involvement in trip planning, particularly in seeking information before and during their trips. Natural disasters like tsunamis can pose significant risks to tourist safety, ranging from minor injuries to severe harm and even death. This study investigates how risk perception and safety concerns influence tourists' decision-making, with a focus on post-tsunami tourism in the Sunda Straits area, which was severely impacted by the 2018 tsunami caused by the eruption of Mount Anak Krakatau. A sample of 116 domestic tourists was surveyed to understand the relationship between risk perception, safety concerns, and tourist decision planning. The results reveal that risk perception is a critical factor in shaping safety concerns and, subsequently, tourists' decisions. This research offers insights into how disaster risk management in tourism can influence recovery strategies. Practical implications include the need for improved risk communication and enhanced safety measures to restore tourist confidence in the region.
Nanofluid cooling of 18650 lithium-ion batteries through wavy channel tube Kanani, Nufus; Fatwa, Muhammad Ilham; Yusuf, Yusvardi; Pinem, Mekro Permana; Wahyudi, Hadi; Satria, Dhimas; Sukamto, Dwinanto; Purwamargapratala, Yustinus
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.v10i2.28519

Abstract

The electric vehicle (EV) industries have grown; in 2023 EV sales increased by more than 30% compared to 2022. The central issue of this industry is the battery because of the cost and environmental problems.  This makes efficient battery operation and condition imperative. The electric vehicle lithium-ion batteries are highly temperature-dependent for optimal performance and longevity. A cooling system is needed to maintain the temperature of the lithium-ion battery within the optimal temperature range. This study proposes nanofluid cooling based on Cellulose Nanocrystals (CNC) inside the wavy channel tube. Other fluid cooling, such as air and water, are compared. Three-dimensional (3D) transient simulation is performed by varying the cooling fluid and mass flow rate. On the other hand, experiments were conducted to validate the simulation's conformity to the battery module's temperature. The performance of the cooling fluid inside the wavy channel effectively keeps the battery heat dissipation and temperature uniformity. The nanofluid can maintain the temperature of the battery module at its optimal temperature (below 40°C), even with the lowest flow rate (5×10-4 kg/s).
Designing an analytics dashboard for knowledge extraction in the retail industry using descriptive and predictive analytics Ruansyah, Muhammad Aldyan; Hadi, M Zaky; Iqbal, Muhammad; Juniwati, Juniwati; Aulia, Lina
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.v10i2.27900

Abstract

With the rise of digitalization and data growth, many business sectors are increasingly focused on data. As a result, developing a descriptive and predictive analytics dashboard is essential for extracting insights from complex datasets and supporting decision-making. This study addresses data analytics challenges in the retail industry by designing a dashboard system for analyzing and visualizing data. It also proposes future predictions for customer analytics, simplifying the interpretation of results from complex datasets obtained through business activities in the retail supply chain. These processes have implications for decision-making in areas such as customer segmentation, demographic analysis, and sales performance. The dashboard design includes a pre-processing stage for retail industry datasets and the creation of descriptive and predictive analytics models using clustering methods. It also simulates the development of these models into a comprehensive dashboard. The primary analysis employs the K-Means algorithm for RFM (Recency, Frequency, Monetary) analytics, customer segmentation, and demographic analysis. Results show that the use of this dashboard enhances the visualization of data, supporting decision-making processes related to marketing strategies, sales performance, and inventory management. By applying advanced analytic techniques to marketing strategies, supply chain management, and inventory planning, retail businesses can optimize their operations. This optimization is achieved through better data analytics tools.

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