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INDONESIA
JRSI (Jurnal Rekayasa Sistem dan Industri)
Published by Universitas Telkom
ISSN : 23560843     EISSN : 25799142     DOI : -
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Industrial & Manufacturing Engineering
JRSI (Jurnal Rekayasa Sistem dan Industri) merupakan jurnal ilmiah yang bersifat peer-reviewed dan open access yang dikelola oleh Fakultas Rekayasa Industri, Telkom University. JRSI berisi artikel ilmiah yang diangkat dari hasil penelitian, gagasan konseptual, aplikasi teori, serta kajian analitis di bidang rekayasa sistem dan industri dalam keilmuan Teknik Industri dan Sistem Informasi. Mulai tahun 2017 JRSI diterbitkan enam bulanan, yaitu bulan Juni dan Desember dalam bentuk online dengan e-ISSN 2579-9142, setelah sebelumnya mulai tahun 2014 terbit dalam bentuk cetak tiga bulanan dengan p-ISSN 2356-0843.
Arjuna Subject : -
Articles 647 Documents
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Development of Assessment Model on Green Ergonomic Building for Office Building Bintang Nidia Kusuma
Jurnal Rekayasa Sistem & Industri Vol 10 No 01 (2023): Jurnal Rekayasa Sistem & Industri
Publisher : School of Industrial and System Engineering, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/jrsi.v10i01.549

Abstract

World economic growth is directly proportional to the increase in the building sector. The building sectoraccounts for 31% of global energy consumption. Humans also increasingly recognize the importance of thehealth aspects, convenience indoor quality, and user safety in the building. This study combines theconcepts of green building assessment and green ergonomics to produce a new framework called greenergonomic building. The green ergonomic building is a building condition that not only focuses on energyuse, indoor quality but also health, convenience, safety, and improving quality of human life in carryingout their activities in buildings. The development of a green ergonomics building assessment model wasdeveloped from literature studies and questionnaires distributed to respondents working in green buildingcertified office buildings. Data processing using the Principal Component Analysis. The results of dataprocessing, seven dimensions of proposals and indicators are obtained. These dimensions are the basiccomponents of indoor quality and security; waste management and safety; water efficiency managementand artificial lighting; suitability of furniture work area and material; application of sensory technologiesand health; the convenience of workspace; and mechanical ventilation and supporting facilities. Thesedimensions and their indicators are expected to be used as a valuation model to identify that buildings havemet the green ergonomic building assessment requirement.
Implementation of Decision-Making Algorithms and Key Requirement Approach for Vendor Selection in Telecommunication Device Bidding Patria Adhistian; Dyah Puspitasari Sunaryo Putri; Ihsan Supono; Priyo Wibowo
Jurnal Rekayasa Sistem & Industri Vol 10 No 01 (2023): Jurnal Rekayasa Sistem & Industri
Publisher : School of Industrial and System Engineering, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/jrsi.v10i01.570

Abstract

The influence of perceived quality is a classic problem in a vendor selection process. To overcome thisproblem, many algorithms have been used in decision making. In this paper we have carried out theidentification of planning team needs and the optimization of the bidding scheme using key requirements tominimize the influence of quality perceptions. The Kano Model Analysis method, the Analytical HierarchyProcess and Technique for Order Preference by Similarity to the Ideal Solution are used to analyze anddetermine the key requirements in the bidding process for telecommunications equipment needed by theplanning team. Vendor selection based on key of requirements specifications is carried out in six stages,namely the preparation stage, requirements search, selection of Key of Requirements specifications, vendorselection, accuracy testing and conclusions. The results of the analysis show that the need for new planningand architecture of telecommunication service providers can increase to NFVi and services. An importantcriterion for NVFi (Hardware) development is Virtual Infrastructure Management (VIM) with a weight of22%, while the service criteria are Fixed Services with a weight of 50.94%. Based on the analy
Optimization of Scheduling using Heuristic Approach with Campbell Dudek Smith Algorithm (CDS) at PT OSIN Raihan Afif Makarim; Apid Hapid Maksum; Muhamad Taufiq Rachmat
Jurnal Rekayasa Sistem & Industri Vol 10 No 01 (2023): Jurnal Rekayasa Sistem & Industri
Publisher : School of Industrial and System Engineering, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/jrsi.v10i01.583

Abstract

PT OSIN is a company that runs a business in the automotive manufacturing sector. The company applies aflow shop production model whose production pattern is line to line in series using the First Come FirstServe production scheduling method. The problem with the FCFS method which is considered to have notreached the optimal enough in meeting uncertain product demands, causing delays in the productionschedule, which has an impact on the flow or distribution of goods and can lead to increased production inactivities. The proposed improvement method is made to optimize production scheduling, focusing onminimizing the makespan values in the scheduling system's order. This study uses a heuristic approach tothe Campbell, Dudek, Smith (CDS) algorithm in overcoming scheduling problems. The CDS method is aproduction scheduling heuristic method developed from the Johnson algorithm in obtaining severalsequences of 6 types of work processes at the work center which aims to analyze the total time for eachprocessing process (makespan). Comparing the two methods using the FCFS method by sorting thescheduling according to the order of the initial order time produces a total value of 2,408.75 minutes, whileusing the CDS algorithm which uses 5 iterations produces a minor matter of 881.3 minutes. Comparing theresults obtained by applying the scheduling system with the CDS method can be used as a proposedimprovement in overcoming the delay in delivery and the production scheduling process.
Forecasting Demand of Moving Average and Linier Regression Methods in Predicting the Production of K93 Disc Brake Product (Case Study of PT United Steel Center Indonesia) Ersa Salsa Bilaffayza; Wahyudin Wahyudin; Dene Herwanto
Jurnal Rekayasa Sistem & Industri Vol 10 No 01 (2023): Jurnal Rekayasa Sistem & Industri
Publisher : School of Industrial and System Engineering, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/jrsi.v10i01.590

Abstract

PT United Steel Center Indonesia is a manufacturing company engaged in the steel plate industry. Thecompany produces various kinds of steel plate products and has various plants, one of which is the DiscBrake K93 product. The Disc Brake K93 product is a part request from the largest customer which oftenexperiences significant changes, resulting in fluctuations and causing inventory to accumulate in thewarehouse. Inventories that accumulate can cause losses for the company, due to improper waste accordingto planning, even less inventory can cause losses for the company because it can experience delays indelivery to customers. Forecasting is one method in planning to predict and help draw conclusions.Moving Average and Linier Regression methods are used in this study, and an analysis of the level ofaccuracy is carried out using the concistency of MAD, MSE, and MAPE as well as forecasting validationwith Tracking Signal. Based on the results of processing and analysis, it is found that the linear regressionmethod is the most accurate method in predicting Disc Brake K93 products for the 2022 period with anincrease in production each month, the MAD value is 15242.23, MSE is 371649700, MAPE is 0.201, andthe Tracking Signal is 0.
Determining The Need of Tank Cars In The Fuel Distribution Process to Pertashop at XYZ Company Yunanik; Muhammad Siddiq Abdillah
Jurnal Rekayasa Sistem & Industri Vol 10 No 01 (2023): Jurnal Rekayasa Sistem & Industri
Publisher : School of Industrial and System Engineering, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/jrsi.v10i01.600

Abstract

XYZ Lahat Company is one of the companies operating in South Sumatra region. This company uses Fleetor Tank Car (TC) as a mode of transportation in distributing fuel products to Pertashop. The constructionof Pertashop in Lahat, South Sumatra, has increased 22% since beginning of the program in May 2021.There are partners who join the construction of 5 units/month of Pertashop and the growth rate ofPertashops affects the number of Thruput by 143 KL/month, whereas the needs for transportation is alsoincreasing, such as the number of needs for fuel products. The method used for mapping is clustering andfor calculation used proportional. The data analysis includes the capability of the car fleet. In conclusion,321 Fleets can be fulfilled with an increase in ritase of 6.02 rit/day which can optimize the fuel distributionprocess and meet consumer needs.
Analysis of Product Inventory Control using Continuous Review System (Q Method) and Periodic Review System (P Method) to Minimize Inventory Costs Irwan Setiawan; Rofifah Rasul; Muhammad Rusman
Jurnal Rekayasa Sistem & Industri Vol 10 No 01 (2023): Jurnal Rekayasa Sistem & Industri
Publisher : School of Industrial and System Engineering, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/jrsi.v10i01.622

Abstract

Store X is a store that sells muslim fashion products. There is a phenomenon that often occurs in one of StoreX's branches, such as the shortage of jetblack hijab products in stock. This phenomenon results in thecompany's loss of opportunity to gain profit and has an impact on high inventory costs. Based on this, it isknown that one of Store X’s branches does not yet have a good inventory system, so it is necessary to applyoptimal inventory methods and minimize inventory costs. This study uses a quantitative approach to datacollection methods of interviews, literature studies, and company historical data. The data analysis methodused is the SMA, WMA, and SES methods with each of the two conditions. As well as using the ContinuousReview System method (Q method) and the Periodic Review System method (P method) for the calculationof inventory policy and total inventory costs. Based on the results of the study, it was found that the Q methoddetermines the optimal ordering lot quantity and the point of having to reorder goods. This resulted in thestock in the warehouse always being replenished on time so that there were no excess or shortage of inventoryand customer requests could be fulfilled so that inventory costs could be minimized. Based on this statement,it is stated that the Q method is suitable for the company because it provides an optimal inventory policy andminimizes inventory costs by 5.90% or IDR 44,771,467 of company costs.
Optimizing Wireless Network based on Building Design in Telkom University Muhammad Fathinuddin; Umar Yunan Kurnia Septo Hediyanto; Aurora Margaretha Rompas; Muhammad Hibban Mikhail
Jurnal Rekayasa Sistem & Industri Vol 10 No 01 (2023): Jurnal Rekayasa Sistem & Industri
Publisher : School of Industrial and System Engineering, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/jrsi.v10i01.614

Abstract

Computer network designed according to its functions and building design which must be analyzed toconsider usage intensity and maintenance. This paper’s study case is in one of the buildings in University atBandung which uses fiber optic and wireless network for both 2,4GHz and 5GHz frequencies. Existingconditions were tested in site surveys which are high frequency interference of wireless signals,misconfigured channel bands caused frequent disconnections close to two different access points, and thereare blank spots causing user’s devices cannot properly connect to network. Wireless network optimizationneeds to be done to solve its problems. Method used is the Network Development Life Cycle (NDLC) whichconsists of Analysis, Design, and Simulation Prototyping phases, and performance measurements usingQuality of Service (QoS) parameters. Site survey results showed many high interference areas caused bychannel misconfiguration in each access point that the same channel can be used for adjacent access points,misplacing wall-mounted access points on ceiling which can interfering both upper floor and lower floornetworks. QoS performance measurements to match TIPHON Standardization for throughput is higher than1kbps, packet loss lower than 3%, and delay lower than 150ms. Recommendation for optimizing network isproperly configuring channel band using non-overlapping channel configuration (1-6-11) for all adjacentaccess points, and there is simulation for replacing wall-mounted access points that placed on the ceiling toa ceiling-mounted type access point. It showed a decreasing interference in the entire network, whether itson the same floor or between upper and lower floor.
Integration of Importance Performance Analysis (IPA) Method and KANO Model to Measure Customer Satisfaction Level at Bosque Cafe Bungah Gresik Muhammad Tholhah; Narto
Jurnal Rekayasa Sistem & Industri Vol 10 No 02 (2023): Jurnal Rekayasa Sistem & Industri
Publisher : School of Industrial and System Engineering, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/jrsi.v10i02.586

Abstract

The Coffee Shop culinary business in the industrial era 4.0 has become a trend among young people. Theexistence of the Covid-19 pandemic requires people to keep their distance and limit activities outside thehome is a challenge in the sustainability of this business, so that these conditions have resulted in adecrease in sales levels. Bosque Café, one of the coffee shop businesses in the city of Gresik, must createquality services to provide comfort in the midst of pandemic conditions and the high business competitionof fellow coffee shops that have been getting higher recently. To attract visitors, several ways must bedone, one of which is to improve the quality of service to customers. The use of the science method to mapthe quality of service with a cartesian diagram can find out the service priorities that must be improved andmaintained. Meanwhile, the KANO model is used for improvement in accordance with the attributes thatmost affect the quality of service. The purpose of this study is to measure the level of customer satisfactionwith the quality of service at Bosque Cafe with an IPA and KANO approach and propose improvements toattributes that affect customer satisfaction. The results of the analysis show that there are 12 serviceattributes that must be improved which are divided into 3 criteria, namely improving human resources,improving services by employees, improving facilities to provide a sense of security and comfort tocustomers
Proposed Quality Control Method for Greig Fabric Production on RRC Shuttel Weaving Machine Using FTA-FMEA to Reduce Fabric Defects at PT XYZ Fadil Abdullah; Iphov Kumala Sriwana
Jurnal Rekayasa Sistem & Industri Vol 10 No 02 (2023): Jurnal Rekayasa Sistem & Industri
Publisher : School of Industrial and System Engineering, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/jrsi.v10i02.603

Abstract

PT XYZ faces challenges in declining product quality due to production defects exceeding the optimaltolerance limit of 2% per period for six consecutive periods. This research aims to identify and addressdefects, offering action strategy recommendations to mitigate and prevent their recurrence during theproduction of grey fabric on RRC shuttle loom machines. The study utilizes an integrated analysis method,combining Fault Tree Analysis (FTA) and Failure Mode and Effect Analysis (FMEA). The researchhighlights five major defect types in grey fabric products, constituting 80% cumulatively. These defectsinclude pickbar issues, ambrol (fraying), tears, broken threads, and skipped weaving. Twelve root causescontributing to these defects in RRC shuttle loom production are identified and evaluated based on theirRisk Priority Number (RPN), categorized into classes A, B, and C with varying risk intensities. Two rootcauses from Class A, constituting 20% cumulatively, are identified as primary defect causes. These issuesinvolve the fit of the weaving reed and discrepancies in the let-off and take-up motion mechanism on theloom machine, each with an RPN value of 648. Action strategy recommendations are provided for thesetwo root causes, collectively contributing to 20% of the overall problem percentage. The objective is toprevent the recurrence of the five major defect types, accounting for 80% of the cumulative percentage.This comprehensive approach aims to rectify the identified issues, ensuring a higher standard of productquality in the textile manufacturing process
Design of Lifting Tool and Pressing Table at Tofu Factory X Considering to the Operator's Work Posture Yohannes Alvin Wijaya; Winda Halim
Jurnal Rekayasa Sistem & Industri Vol 10 No 02 (2023): Jurnal Rekayasa Sistem & Industri
Publisher : School of Industrial and System Engineering, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/jrsi.v10i02.604

Abstract

The X Tofu Factory on of tofu factory located in Sumedang City. Based on the results of aninterview with the owner of the X Tofu Factory, Owner stated that there were several problemsthat occurred at the X Tofu Factory. The main problem that occurs is the frequent occurrence ofMusculoskeletal Disorder complaints caused by poor work posture and inadequate physicalfacilities. The purpose of this study was to design work aids to be used to lifting load at grindingwork stations and posture when work at pressing station. Theories are used include designthinking for the design of work aids at milling work stations, Rapid Entire Body Assessment(REBA) to determine the risk score of work postures, Wisha Lifting Calculator (WLC) todetermine the limiting index of lifting activities, and anthropometry for designing physicalfacilities in the form of a tofu moulding table. Data collection was carried out in the tofuproduction area by taking tool size data, the Nordic Body Map (NBM) questionnaire, and actualanthropometric data. From the results of data processing and analysis of the problems above, theresearchers proposed work aids to reduce REBA and Wisha scores, and physical facilities thatwere adjustable in height operator's anthropometric data.

Page 63 of 65 | Total Record : 647

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