JRSI (Jurnal Rekayasa Sistem dan Industri)
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    255 research outputs found

    Measuring Green Supply-Chain Performance Using the Green SCOR Approach at the IKM Gallery of Malang Regency

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    Measurable supply chain management is a method to improve supply chain performance in Small andMedium Industries (IKM). This research was conducted through field observations to discover theproblems of the supply chain system in the IKM Gallery Kab. Malang. Using the Green SCORmeasurement concept, Key Performance Indicators (KPI) are determined which will be used as the basisfor measuring supply chain performance. The three main components in the IKM Gallery used asmeasurement indicators are (1) Deliver, consisting of Deliver Quantity Accuracy, Shipping DocumentAccuracy, and Deliver Cycle Time; (2) Return, consisting of Percent of Complaint Regarding MissingEnvironmental Requirements from Product and Percent of Error-Free Return Ship; and (3) Enable,consisting of Percent of Employee Educated in Environmental Requirements. KPI is used to calculate theSNORM normalization value which indicates the performance level. The calculation results show that thefinal performance value of all components is 79.16 which is classified in the "Good" category

    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)

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    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

    Implementation of Lean Manufacturing with the Takt Time and FMEA Methods to Identify Waste in the Sterile Production Process in the Pharmaceutical Industry

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    Pharmaceutical companies is one of the companies engaged in the pharmaceutical sector in Indonesia, as aleading pharmaceutical company in Indonesia and trusted by many people, pharmaceutical companiesalways strives to provide the best service in terms of meeting market demand (customer), delivered on time(lead time). The requests received always vary every month, a drastic increase in the number of demandswill affect the processing time needed to fulfill the demand with the production processing time of aproduct. This problem can be overcome by analyzing the Takt Time and Cycle Time needed to fulfillrequests for October 2020, where the number of requests for product A in October 2020 is 10,560 pcs. Theresults of the analysis of Fast Time and Cycle Time waste using the FMEA method. There are 3 types ofwaste, namely waste of waiting time, unnecessary supplies, and scheduling

    Analysis of the Causes of Defect and Proposed Improvements with Fault Tree Analysis Method in the Drawing Process at PT. XYZ

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    PT. XYZ is a manufacturing company that produces various types of metal-based products with a make toorder system. One of them is the Back Top Plate 450/456 (BTP 450/456) part which is a component ofrefrigerators. In the period of February-November 2020, PT. XYZ produces 15,395 units of BTP 450/456.However, BTP 450/456 products have the highest percentage of defective products. The average percentageof defective products is 3.06%, while the tolerance for the number of defects determined by the company is1%. This indicates a problem in the production process. The most types of defects in the production processof 450/456 are broken with a percentage of 41.88%. Based on Critical to Quality, the process stages that donot meet the requirements in the drawing process can cause various types of defects, such as wrinkles, breaks,miss-sizing, process failures, scratch and dents. The Fault Tree Analysis method is used to identify the rootcause of the type of broken defect. The root of these problems includes the absence of a guide for settingdies, the machine being operated for a long time, operator negligence, and the incorrect position of theplastic. The proposed improvement given are determining the optimal engine pressure, designing dies settingguides for operators, evaluating and improving the maintenance process, analyzing new machinerequirements, supervisors giving good directions to operators, periodic work evaluations to assess operatorperformance, designing visual displays as reminders for operators, and designing aids for positioning plasticson materials

    Bubble Window Product Quality Control with New Seven Tools Method (Case Study: PT X)

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    Quality control is needed to prevent material, time, and energy losses for the company PT. X. By doingquality control on bubble window production, it is expected to reduce the adverse impact on the company.PT. X itself is a company engaged in aircraft manufacturing. In producing each aircraft component, PT. Xrequires quality control to be able to guarantee the aircraft has good quality and meets the standards thathave been set. In bubble window production, defects are still found. Bubble window itself is one of thecomponents of the aircraft which is produced by PT. X. In an effort to reduce the number of defects thatoccur, quality control is carried out using the new seven tools method. From the processing results obtainedfive factors that cause defects in bubble window products at PT. X, namely the environment, humans,machines, methods, and materials. So three solutions are proposed,which are reviewing the operation of themachine, placing the SOP position in the work area, and periodic maintenance

    Analysis of the Effectiveness using Overall Equipment Effectiveness in Identifying Six Big Losses on SY-GF 250H Lathe (Case Study CV Jasa Bhakti)

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    CV Jasa Bhakti is a manufacturing industry company that produces agricultural machinery and automotivespare parts. During the production process, the SY-GF 2500H lathe has problems, namely engine damagewhich causes the production machine to not operate and causes downtime which can cause losses andaffect the effectiveness of the SY-GF 2500H lathe. The Overall Equipment Effectiveness (OEE) method isused to measure the level of effectiveness on a machine by using three main components, namelyavailability rate, performance rate, and quality rate to identify types of losses based on six big losses, theaverage OEE result of 75% is still below the standard world class with factors that affect the low OEE,namely the performance rate of 79%, while the losses that affect the effectiveness value of the performancerate are idle and minor stoppage of 6% and reduce speed losses of 35%. By analyzing the root causes ofthe problem through a fishbone diagram, and five whys analysis. From this method, it can be concludedthat the causes of the low effectiveness value on the performance rate which are influenced by idle andminor stoppage and reduced speed losses are human factors, machines, materials, and methods

    Design of Ph Level Monitoring Tool in Coating Process at PT XYZ Using QFD Method

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    PT XYZ is a company engaged in the furniture industry, the products produced are various, one of which isthe Yamato folding chair. Yamato folding chairs are the most produced products, the production process ofYamato folding chairs consists of three processes, namely the construction process, the nickel chromeplating process, and the assembly process. In this study, the researchers focused more on the nickel chromeplating process because the most defects were in this process based on historical data from July 2020 toDecember 2021. The nickel plating process also has many types of defects including streaks, burns, yellow,and so on. Nickel chrome plating process is a metal deposition process on the surface of a metal or nonmetal electrolytically. In the analysis of the problem there is a process that is not fulfilled using the Ishikawadiagram, 5 whys analysis, and FMEA it is known that the influential factor is the incompatibility of pH levels,to correct these problems, a tool is designed. The method used for the design of the tool is the QFD (QualityFunction Deployment) method. QFD is a way to improve the quality of products and services byunderstanding each consumer's needs, then connecting them through technical aspects to produce productsor services that suit consumer needs in each manufacture product or service produced. The results of thisstudy are a tool to monitor pH levels so that they are in standard conditions. With the design of a monitoringtool for pH levels, it is expected to minimize defects that occur in the coating process

    Customer Satisfaction Analysis with Importance Performance Analysis on Academic Services at Faculty of Dentistry, University X

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    Service is the key to success in various businesses or activities of a services. The success of a service can beseen when the customer receives the service as expected. Based on data at the Faculty of Dentistry UniversityX, student satisfaction score on academic services are still low. The purpose of the study was to determinethe level of student satisfaction and evaluate the attributes of academic services in the Dental ProfessionalEducation program, Faculty of Dentistry, University X. Data was collected using a questionnaire with theService Quality method (SERVQUAL) which consists of 5 dimensions, Reliability, Tangibles, Assurance,Responsiveness, and Empathy. Data processing using SPSS 25, the Customer Satisfaction Index method(CSI) is used to determine the level of student satisfaction with the quality of academic services, ImportancePerformance Analysis method (IPA) is used to determine the attributes of academic services that must bemaintained and improved. The results of this study indicate that the level of student satisfaction withacademic services is 80.23%. The results of the IPA analysis show that there are 2 attributes that must beimproved in quadrant A Assurance dimension, V9 (Ease of reporting work results) and V10 (Ease ofobtaining the information about grades and work progress)

    Optimization of Scheduling using Heuristic Approach with Campbell Dudek Smith Algorithm (CDS) at PT OSIN

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    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

    Optimizing Wireless Network based on Building Design in Telkom University

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    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

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