Jurnal Rekayasa Sistem & Industri (JRSI)
Not a member yet
254 research outputs found
Sort by
Reward Decision Support System and Punishment on Food Companies Using MABAC Method
Full text linkThe improvement of a company performances cannot be separated from the performance of each employee.Periodic evaluation of employee performance becomes a routine task of the Human Resources General Affair(HRGA) team that takes a long time and effort because it is still done manually. The results of employeeperformance that have been assessed as a reference of determination of rewards and punishment. TheDecision Support System (DSS) is made with the aim of making it easier for HRGA to determine employeerewards and punishments based on assessor factors that have been determined by the company. The criteriachosen are attendance, loyalty and responsibility, work competency and work results (quality and quantityresults). The DSS methods that can be applied to this process is the Multi-Attributive Border Approximationarea Comparison (MABAC) Method. This method is used because consistent in solutions and expert for usein logical decision making. The research data was taken from 11 samplings of bakery division employeeperformance data for 1 year. Data is obtained from attendance and assessments from supervisors of eachdivision. The results of this research, is a decision support system web based in order to determine thereward and punishment method using MABAC
Optimization of Scheduling using Heuristic Approach with Campbell Dudek Smith Algorithm (CDS) at PT OSIN
Full text linkPT 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
Full text linkComputer 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
Design of Temporary Shelter Layout with Reuse, Reduce, Recycle Method (TPS-3R) and SNI 19-2454-2002 at Widyatama University
Full text linkBased on the performance achievements of the Ministry of Environment and Forestry, in 2023 unmanagedwaste amounted to 5,899,371.35 tons/year. The data shows that there is still a waste management process atthe upstream level that is not optimal. The downstream of waste, namely landfills, is an obstacle due toexcess capacity. It was recorded that 38 landfills burned in 2023 in a number of regions in Indonesia. Oneof the landfills that caught fire was the Sarimukti landfill located in Bandung. Before the waste is finallydumped in the landfill, the waste will transit in the TPS. The purpose of this study was to design a layout atthe Widyatama University TPS using the TPS-3R method and SNI 19-2454-2002. Observations andobservations were made in June and July 2023 at Widyatama University TPS to see the condition of wastegeneration and TPS buildings, while the observations made were measurements of the TPS area andidentification of the current layout conditions. The proposed layout design for Widyatama University TPSis divided into 5 places based on the largest waste category, namely: leaf organic waste with a size of 1 x 1.5x 1 m; food waste organic waste with a size of 1 x 1.5 x 1 m; plastic inorganic waste 1.5 x 1.5 x 1 m;cardboard / paper inorganic waste with a size of 1.3 x 1.5 x 1 m; and styrofoam inorganic waste with a sizeof 0.7 x 1.5 x 1 m. At the TPS, a mixed waste outpouring area is also made as a waste bin before sorting,then an organic waste processing area is made which contains an organic waste chopping machine, and acontainer is prepared as a storage area for residual waste
Analysis of Pranata Computer’s Data Governance Activities based on DAMADMBOK 2
Full text linkUntil now, the government is very difficult to get data that is valid, accurate, reliable, and easily accessible.Often there are differences in data, between ministries, government agencies, state-owned companies,private companies, or others. This has become a constraint for leader in decision making. At the end of2018, the Government plans to establish a Presidential Regulation concerning the One Data Indonesia, butuntil now (2019) has not yet. One of the critical success factors for this initiative is human resources (HR),namely Pegawai Negeri Sipil (PNS) who have functional positions as Pranata Komputer (PK). PK has taskand function of planning and managing information technology in the government. This research aims toanalyze PK activities related to data management based on DAMA-DMBOK 2. The methods used aredocument collection, assessment, analysis of DAMA-DMBOK 2 activities and current activities, andmapping of PK activities and data management, which focus on three knowledge (data governance, dataquality management, and metadata). The output is the mapping of PK activities based on DAMA-DMBOK2. The results of research can be used as a reference for evaluating and improving regulations related toPranata Komputer activities that support the implementation of data governance in government
Gender Different Analysis in Actual Behavior of COVID-19 Prevention among College Student (Case Study: Industrial Engineering, Telkom University)
Full text linkVarious efforts have been made by the government in reducing the number of COVID-19 cases in Indonesia,such as health intervention programs by encouraging the adaptation of new habits, such as carrying out healthprotocols which include washing hands, using hand-sanitizer, and wearing masks. To make healthintervention programs more effective and to see the importance of students as agents of change and socialcontrol, this study aims to analyze gender differences in the actual behavior of individual students inpreventing the transmission of COVID-19. This study used an online survey to a group of students (IndustrialEngineering, Telkom University) and it will be analyzed using descriptive analysis and binary logisticregression test. The results show that the gender were significantly associated with the actual behavior ofpreventing the transmission of COVID-19, through the use of hand-sanitizer (p<0.05) and washing handsevery time they left the house (p<0.05). Female students tend to have better actual behavior than malestudents. Overall, this study found that more than 90% of students reported having carried out actual COVID19 prevention behaviors well. It is hoped that these results can be used as an illustration of interested partiesto target groups of students, especially the male gender, that should be placed on providing informationrelated to COVID-19 prevention behavior
Determining The Need of Tank Cars In The Fuel Distribution Process to Pertashop at XYZ Company
Full text linkXYZ 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
Full text linkStore 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
Digitalization of Bale Kampoeng Radjoet SMEs Stock Opname Recording Systems based on Website with Waterfall Method
Full text linkBale Kampoeng Radjoet is an SME in Bandung that markets knitting products from 12 artisans. In thebusiness process, recording product data is still done manually using a notebook. This has an impact on thestock opname process, namely the occurrence of product data discrepancies in the warehouse with recordsand difficulties in knowing product stock. These problems are caused by the absence of a system that helpsrecord all product data. This is the basis for improving the stock opname recording system by digitalization,namely the use of a website-based information system. The development of the stock opname recordingwebsite uses the waterfall method, with system modeling using the Unified Modeling Language (UML). Thesystem verification process uses blackbox testing and validation using User Acceptance Testing (UAT)which refers to ISO 25010. UAT results show the characteristics of functional suitability 89.33%,performance 92%, usability 91.2%, and reliability 93.33%. The results adjusted to the interpretation criteriashow that the four characteristics are in the range of 81%-100%, which means that the website can beaccepted by users because it fulfills user needs and can be run according to its functio
The Measurement of Technology Acceptance for Information Services in ‘ABC’ University Library Using Technology Acceptance Model
Full text linkAn adoption of technology always produces two reactions, namely acceptance or rejection. Senayan librarymanagement system is a library management system that is able to organize, organize, provide services,that finally producing an information that can help managers and library members. This study aims todetermine the extent to which technology in information services at the ‘ABC’ Library is received and toexamine the relationship of factors that influence the acceptance and use of these technologies by using theTAM (Technology Acceptance Model). Assessment is generated from primary data in the form ofquestionnaires distributed to 379 respondents. The veripative statistical analysis method in this study usesSEM (Structural Equation Model) with the software used is Amos 24. Based on the results of the research,PEOU has a positive effect on PU because the P value (0.013) <0.05, PEOU has no positive effect onBITU because P value (0.660)> 0.05, PU has a positive effect on BITU because P value (0.000) <0.05, andBITU has a positive effect on AU because the value of P (0.003) <0.05