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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 10 Documents
 1 
Search results for , issue "Vol 9, No 1 (2023): April 2023" : 10 Documents clear
Non-stationary time series data for natural rubber inventory forecasting: A case study Muhammad Ilham Adelino; Meldia Fitri; Mohammad Farid
Journal Industrial Servicess Vol 9, No 1 (2023): April 2023
Publisher : Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36055/jiss.v9i1.17778

Abstract

PPLK Corp. is a company that uses natural rubber as the main raw material to produce crumb rubber. The problem identified in PPLK Corp. is the insufficient amount of natural rubber received to produce and fulfill consumer demand. There have been fluctuations in the amount of natural rubber received and high variability between periods. To minimize this variability, it is necessary to forecast natural rubber requirements. The purpose of this study is to forecast the natural rubber inventory for the next periods using the best-fitted model, which is the Autoregressive Integrated Moving Average (ARIMA) method. A total of 547 daily data points from 2021 to 2022 were used. As a result, the ARIMA (1,1,2) model was found to be the best model for natural rubber forecasting in the rubber factory. The ARIMA (1,1,2) model had the smallest AIC value compared to others. The total daily natural rubber need is forecasted to be around 67.588 kilograms with a range between 64.805 and 70.421 kilograms per day. However, it should be noted that this study was limited to short-term forecasting only.
Design of LPG transport aids to prevent musculoskeletal risks Dewantari, Nustin Merdiana; Fachrur, Aditya Rahadian; Mariawati, Ade Sri; Akbari, Rizky; Ferdiansyah, Muhammad; Annisa, Findi Choerun
Journal Industrial Servicess Vol 9, No 1 (2023): April 2023
Publisher : Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36055/jiss.v9i1.19047

Abstract

The Central Statistics Agency of Indonesia (BPS) has recorded an increase in the use of liquefied petroleum gas (LPG) by the public over the last seven years. This increase is due to the government changing its policy from using fuel oil to LPG. LPG is essential for the community as a kitchen fuel to meet their needs and for resale. Distributing LPG gas is crucial to meeting the community's needs. However, one of the distribution processes involves manual loading and unloading, which can cause musculoskeletal complaints. Therefore, tools that can facilitate work are necessary. This study aims to reduce the risk of musculoskeletal disorders by examining the working posture of transporting LPG gas at a LPG distributor in Indonesia. The study proposes a tool design to solve the problem of high work posture. The results of data processing and analysis show that the design of assistive devices can reduce the risk of work posture.
Identification and strategy for the risk mitigation of supply chain with Fuzzy House of Risk: A case study in pallet products Ulfah, Maria; Bahauddin, Achmad; Trenggonowati, Dyah Lintang; Ekawati, Ratna; Arina, Faula; Sonda, Atia; Ridwan, Asep; Ferdinant, Putro Ferro
Journal Industrial Servicess Vol 9, No 1 (2023): April 2023
Publisher : Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36055/jiss.v9i1.18953

Abstract

X Corp. is a manufacturing company that produces various wood packaging products, including pallets, which are in high demand, particularly for export commodities. However, the company's supply chain activities are often affected by various risks. If these risks are not addressed in a timely manner, they could disrupt the supply chain and lead to negative consequences for the company. Therefore, the company management needs to implement supply chain risk management to identify and mitigate these risks. This study aims to identify the risks that have occurred or are likely to occur in the supply chain of X Corp. and determine which risks should be prioritized for mitigation. The fuzzy house of risk method was used to analyze the data. The results of the study identified 38 risk events and 22 risk agents. Additionally, 17 proactive actions were proposed to the company to address the priority risk agents and mitigate their potential impact.
A comparative study on e-wallet user perceptions: Pre- and post-COVID-19 analysis using e-SERVQUAL Wahyuni, Nuraida; Fauzan, Zahran; Gunawan, Akbar; Anggraeni, Shanti Kirana; Febianti, Evi; Ekawati, Ratna
Journal Industrial Servicess Vol 9, No 1 (2023): April 2023
Publisher : Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36055/jiss.v9i1.19060

Abstract

The use of e-wallets in Indonesia has been developing since their emergence in 2011. The circulation of electronic money has been increasing, particularly in urban areas, due to the rising digital literacy of people. However, there was a significant increase during the Covid period when restrictions were imposed on community activities to prevent the spread of the virus. During this period, the circulation of electronic money more than doubled from the previous year. The perception of e-wallet users is crucial as it provides valuable information about their expectations and preferences. This information helps e-wallet providers determine whether their products or services meet the users' expectations. The e-SERVQUAL method is used to measure e-wallet user perceptions, which evaluates the quality of electronic services provided by companies through electronic media. Therefore, this study aims to investigate whether there is a significant difference in e-wallet user perceptions using e-SERVQUAL before and after the Covid period. The survey method was used in this study. The results showed a significant difference between users' perceptions before and after the Covid period with a significance value below 0.05.
Ant Colony Optimization algorithm for determining the shortest routes to reduce distribution costs Muharni, Yusraini; Febianti, Evi; Adipradana, Febby Chandra; Ilhami, Muhammad Adha; Muttaqin, Ade Irman Saeful; Kulsum, Kulsum; Herlina, Lely; Wulandari, Anting; Hartono, Hartono
Journal Industrial Servicess Vol 9, No 1 (2023): April 2023
Publisher : Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36055/jiss.v9i1.19022

Abstract

Distribution is an important activity that companies need to pay attention to. Improper planning for distribution activities can potentially waste both cost and time. Determining the shortest distribution route could help companies effectively reduce distribution costs. This research was conducted on a small and medium enterprise (SME) located in Rangkasbitung, Indonesia that sells various types of bread. Distribution activities carried out by Jaya Roti were found to be still conventional, while the distribution carried out to the city of Serang has many locations and complex route combinations. This research utilized the metaheuristic method of Ant Colony Optimization (ACO) with MATLAB software to determine the shortest route, which is included in the Travel Salesman Problem (TSP). The result of the shortest route determination was a total distance of 93,484 Km with an efficiency rate of 26.97% and a resulting cost of IDR 170,795.
Literature review using the concept of Value Stream Mapping in the manufacturing industry Antonio, Tito; Anggara, Sunu Surya; Sedubun, Elkiopas; Nurhaliza, Siti Farah; Setiawan, Rohmat; Setiawan, Indra; Azzahra, Shafa
Journal Industrial Servicess Vol 9, No 1 (2023): April 2023
Publisher : Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36055/jiss.v9i1.18264

Abstract

Value Stream Mapping (VSM) has become a valuable tool for decision-making and identifying opportunities for lean manufacturing practices. This study reviewed literature from various sources, including Google Scholar and Science Direct, to explore the application of VSM in different sectors of the manufacturing industry. The study used specific keywords, such as "Value Stream Mapping," "Manufacturing Industry," "Waste," and "Waiting Time" to identify relevant literature. The study analyzed 42 research papers published between 2017 and 2022 to examine the development and application of VSM in the manufacturing industry. VSM has been widely adopted in various industries such as automotive, food, and textile, among others, and has been used to create action plans that combine different lean techniques to achieve optimal results. The process of VSM involves two stages, which are describing the current and future conditions. From the descriptions, areas for improvement can be identified and developed to create a lean process. Based on the reviewed literature, VSM has been found to be highly effective in the manufacturing industry.
How to choose the best promotion strategies for increasing prospective students: The role of risk management factors Kusuma, Yudha Adi
Journal Industrial Servicess Vol 9, No 1 (2023): April 2023
Publisher : Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36055/jiss.v9i1.18709

Abstract

X University is one of the private universities located in the East Java province. To retain prospective students and encourage them to register, informational media through promotion is necessary. To determine the best promotion strategy, student profile data is utilized. The accumulated student profile data must be processed through data mining. In this research, the K-means method is used for data mining. The K-means measurement results are divided into three groups: Cluster 1 includes P1, P7, and P8; Cluster 2 includes P2 and P9; and Cluster 3 includes P3, P4, P5, P6, and P10. The risk management process is carried out in three stages: risk identification, risk assessment, and risk mitigation. The results of the risk identification phase showed that there were 15 risk variables. The risk assessment phase revealed two very high category risks, two high category risks, four medium category risks, and seven low category risks. Following the advice of X University, risk mitigation activities were selected for the very high and high-category risk variables. The results of this research are expected to contribute to an increase in the number of students at X University in the future.
Optimizing packaging process efficiency and quality control at a black carbon manufacturer through lean six sigma and design of experiment Bahauddin, Achmad; Trenggonowati, Dyah Lintang; Sonda, Atia; Yusuf, Vira Aleyda; Saeful Mutaqin, Ade Irman; Umyati, Ani
Journal Industrial Servicess Vol 9, No 1 (2023): April 2023
Publisher : Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36055/jiss.v9i1.19052

Abstract

CI is a multinational company that involves manufacturing carbon black. The carbon black is packed in a 1250 kg jumbo bag and a 25 kg paper sack. Based on reject weight data for December 2019, 4.4% of paper sacks were rejected, with some caused by suboptimal packer machine settings. The study will use the design of experiment to determine critical quality factors for carbon black grade Sterling-V, identify waste in the packaging process, determine the sigma value in the packaging process, identify factors causing product defects, evaluate the risk priority number, and provide suggestions for optimal packaging machine conditions through factorial experiments. The reject weight of Sterling-V products due to reject weight was 123 out of the total production. The study results showed a sigma level of 2.205, with the engine factor being the main cause of reject weight (RPN 900). The optimal packaging machine conditions proposed for Sterling-V grade are Bulk Fill Cut Off (22.5 kg), High Pressure Air (7 bar), and Trim Final Cut Off (25 kg), which can reduce reject weight to 23 from total production.
Product quality control analysis using the six sigma method Ridwan, Asep; Sonda, Atia; Amelia, Amelia
Journal Industrial Servicess Vol 9, No 1 (2023): April 2023
Publisher : Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36055/jiss.v9i1.19044

Abstract

Technological improvements and developments have significantly altered consumers' perceptions of product quality. The production of high-quality products is only possible through a robust manufacturing process. However, during the production process, various issues may arise, leading to the production of defective products. As a result, manufacturing companies like XYZ are now required to conduct product quality control to minimize the number of defects. The objective of this study is to control product quality by reducing defects at XYZ. To achieve this, we have employed the Six Sigma method, which involves several stages, such as define, measure, analyze, improve, and control. Our research indicates that product A is prone to defects, with density being the most common type. We have calculated the DPMO (defects per million opportunities) to be 2580.66, while the sigma value is 4.297. The process capacity that produces problems at XYZ is at an average level for US industry. Additionally, we have used the 5W + 1H approach to propose improvements during the Improve stage. However, our recommendation for enhancing the production process to reduce defects is still a work in progress and needs to be executed, assessed, and monitored to reach world-class industry standards.
Supply chain performance analysis using discrete system simulation method: A case study in a furniture company Trenggonowati, Dyah Lintang; Ulfah, Maria; Ridwan, Asep; Bahauddin, Achmad; Ekawati, Ratna; Sonda, Atia; Umyati, Ani; Fachrur, Aditya Rahadian; Yadi, Yayan Harry
Journal Industrial Servicess Vol 9, No 1 (2023): April 2023
Publisher : Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36055/jiss.v9i1.19049

Abstract

As time progresses, the evolving industrial world demands that companies devise the best strategies to achieve their desired goals. A well-designed system is expected to increase the profitability of the company itself. CSD is an interior furniture and interior design studio located in the city of Cilegon, Banten. The challenge faced by CSD is the inability to meet order deadlines during periods of high demand. The objective of this study is to assess the level of machine utility within the existing process and provide recommendations to achieve an optimal process. The methodology employed includes system simulation and model development using Promodel software. Additionally, statistical tests, model validation, and ANOVA tests were conducted. Based on the results, it was determined that the level of machine utility at CSD is 17.48% for shaping planning, 30.08% for grinding, 14.88% for assembly, and 29.98% for finishing. The proposed solution, scenario or proposal 2, suggests combining the assembly and finishing workstations, resulting in increased machine utility.

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