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Contact Name
Akbar Gunawan
Contact Email
a68ar@untirta.ac.id
Phone
+6287771183000
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admin.snis@untirta.ac.id
Editorial Address
Jurusan Teknik Industri Universitas Sultan Ageng Tirtayasa Alamat : Jl. Jend Sudirman km. 3 cilegon banten, kode pos : 42435 no telp (0254(376712)
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Kab. serang,
Banten
INDONESIA
Journal Industrial Servicess
ISSN : 24610623     EISSN : 24610631     DOI : -
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
Articles 458 Documents
Index of authors Bobby Kurniawan
Journal Industrial Servicess Vol 8, No 2 (2022): October 2022
Publisher : Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36055/jiss.v8i2.17634

Abstract

Shared-storage layout for redesigning the damaged-goods warehouse Yudi Sukmono; Taufiq Qurrahman; Farida Djumiati Sitania
Journal Industrial Servicess Vol 8, No 2 (2022): October 2022
Publisher : Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36055/jiss.v8i2.16726

Abstract

The Faculty of Engineering, Mulawarman University's equipment warehouse is divided into the office-stationery warehouse and the damaged-goods warehouse. Office-stationery warehouse stores office stationery, spare parts, and consumables. Meanwhile, the warehouse for damaged goods stores various damaged goods such as furniture, Personal Computer (PC) components, electronic goods, and laboratory equipment. The problem with the warehouse is that many items need to be better organized so they cannot be classified between furniture items, PC components, electronics, and laboratory equipment. Then another problem is the difficulty in collecting inventory data at the Faculty of Engineering, Mulawarman University. Therefore, this study proposes improvements to the warehouse’s layout that is more efficient in storing goods in the damaged-goods warehouse. The method used in this study is shared storage, where fast-moving goods are stored in a storage area near the entrance and exit. The results from the shared storage method show that the damaged warehouse layout of the Faculty of Engineering, Mulawarman University, could be more optimal, causing ineffectiveness of the movement of goods that occurred in the warehouse was unorganized. The proposed redesign of the warehouse layout shows it is better than the layout. It can be seen from the placement of goods according to their classification and the effective distance between the storage area to the door.
Risk management analysis in electrochlorination plant using House of Risk Shanti Kirana Anggraeni; Nuraida Wahyuni; Desi Ramdhani
Journal Industrial Servicess Vol 8, No 2 (2022): October 2022
Publisher : Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36055/jiss.v8i2.17296

Abstract

XYZ Corp. is a petrochemical company with several Electrochlorination Plants (ECP) to produce chlorine. ECP is a room with a high risk because there can be a buildup of hydrogen gas in the ECP room, which can cause an explosion. Therefore, it is necessary to carry out risk analysis in activities at ECP to mitigate possible risks or disturbances. The purpose of this study is to identify risks and risk agents as well as risk agents that are prioritized in the Electrochlorination Plant (ECP), using the House of Risk (HOR) method, which consists of 2 phases. The first phase is identifying risk events and agents, which are then measured on the severity and occurrence levels and calculating the Aggregate Risk Priority (ARP) value. This study found that 17 risk events and 11 selected risk agents must be prioritized to be resolved. They contribute to an 80% cumulative value of the highest Aggregate Risk Potential (ARP), which means it has the most significant influence on daily operations. Therefore, the company must overcome this by taking preventive steps to minimize or eliminate the source of the risk.
A fuzzy FMEA for detecting the risk of defects in polyethylene (PE) film products Erni Krisnaningsih; Imam Ribowo Sakti; Saleh Dwiyatno; Asep Ridwan
Journal Industrial Servicess Vol 8, No 2 (2022): October 2022
Publisher : Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36055/jiss.v8i2.16592

Abstract

Product quality is a top priority that must be considered so that the products produced follow quality standards based on the characteristics and specifications set by the company. This study aims to identify the failure risk of the most dominant type of defect in Polyethylene (PE) Film products and identify the significant factors that cause the most dominant defects so that a proposal for improvement is obtained. The Fuzzy Failure mode and effect analysis (FFMEA) method is applied to reduce the risk of product defects in the PE Film production process. The steps with FFMEA are: a). Identify the type of defect of the Polyethylene film product, b). investigate the potential causes of each mode of failure and their impact, c). Identify the scale and linguistic terms for the input factors S, O, and D. d). Create a membership function appropriate for S, O, and D input factors, e). Change the input factor values S, O, and D to linguistic variables, f). establish an IF-Then rule, create a fuzzy risk priority number (FRPN) membership function, g). defuzzification. The results showed that the application of this method was quite effectively applied, the risk factor for the dominant defect in the production of PE film was the type of Pinhole defect caused by material factors, and the production process and temperature with proposed improvements were focused on periodic maintenance.
Measuring the impact of practicum schedule and mental workload on stress levels in hybrid learning: A case study in Physics practicum Ani Umyati; Selli Yanasari; Nuraida Wahyuni; Ade Sri Mariawati
Journal Industrial Servicess Vol 8, No 2 (2022): October 2022
Publisher : Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36055/jiss.v8i2.17312

Abstract

The Physics Laboratory of the Faculty of Engineering, University of Sultan Ageng Tirtayasa, has implemented hybrid learning-based learning after the Covid-19 pandemic abated. Students admitted to online practicum the previous semester said they felt depressed and overthinking while participating in the physics practicum. The assignments and report must be handwritten after they watch a video explanation of the experimental procedure. The internet network condition is also an obstacle for online practicum. Based on these problems, examining the impact of hybrid learning-based learning in shift practicum and mental workload on stress levels was necessary. This study aims to identify the mental workload experienced by online and offline participants in the Physics Laboratory practicum. The advantage of this study is to review two practicum methods, online and offline practicum. The research instruments used to measure the mental workload and stress level experienced by students are NASA-TLX and DASS-21, respectively. The results showed a simultaneous influence between shift practicum and mental workload on stress levels. The mental workload on the stress level of online and offline practice is significantly different. However, the shift of practicum to the stress level of online and offline practice is similar—the mental workload of online and offline practice in the dominant medium and heavy categories. Heavy and normal categories dominate stress levels. The dominant mental workload factors are effort, frustration, and physical demand.
A hybrid modified Bat Algorithm with Dynamic Spiral Method for solving mixed integer non-linear programming optimization Atia Sonda; Bobby Kurniawan; Faula Arina; Dyah Lintang Trenggonowati; Asep Ridwan; Maria Ulfah; Putro Ferro Ferdinant; Achmad Bahauddin
Journal Industrial Servicess Vol 8, No 2 (2022): October 2022
Publisher : Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36055/jiss.v8i2.17315

Abstract

Most optimization problems in engineering are nonlinear, with many constraints. Consequently, finding optimal solutions to such nonlinear problems requires efficient optimization methods. Most of the methods used so far are gradient-based methods. In gradient-based methods, the objective function must be differentiable, and the search for the optimum solution usually starts with a guess-point. For multimodal objectives, the search will likely get stuck at a local optimum. Nowadays, new metaheuristic methods are being developed for solving nonlinear optimization problems. Metaheuristic methods neither require a guess-point nor a derivative of the objective function. Metaheuristic methods, called Bat Algorithm and Spiral Dynamic Method, have been developed for solving optimization problems. Each of the methods has the strength to solve the problem. We propose combining Bat Algorithm (BA) and Dynamic Spiral Method (DSM) for solving mixed integer optimization. The bat Algorithm is used for the exploration stage to find some candidate solutions. Meanwhile, the dynamic spiral method is used in local search to find the best optimum solution. The result obtained by Bat Algorithm-Dynamic Spiral Method (BA-DSM) were more effective than the standard Bat Algorithm in solving the problem.
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.