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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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Marketing Dashboard Module for Supporting the Implementation of Digital Marketing in MSMEs Fitriyana Dewi; Ekky Novriza Alam; Rachmadita Andreswari
Jurnal Rekayasa Sistem & Industri Vol 8 No 01 (2021): 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.vxxx.xxx

Abstract

Mekarsari Village is a fostered village in Bandung district which has BUMDes. Mekarsari Village hasgreat potential, especially in the field of tea and coffee plantations. Several other MSMEs have productssuch as chips and other handicrafts. In general, MSMEs have difficulty increasing their competitiveness.The technology sector and competitors are the biggest challenges that must be overcome by MSMEs.Currently, the existence of a marketplace can help MSMEs to market and increase product sales.GambungStore is one of the marketplaces that is specifically intended as a marketing medium for MSMEproducts in Mekarsari Village. The existence of this marketplace can actually be optimized through a goodmarketing strategy. A good marketing strategy requires a periodic controlling process which can be doneby using information on the behavior of consumers towards the product. Information on consumerbehavior will be obtained in the marketing dashboard module in this research.
Health Belief Model and Individualist-Collective Culture on Compliance with Health Protocols Afia Meliana; Devi Jatmika
Jurnal Rekayasa Sistem & Industri Vol 8 No 01 (2021): 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.v8i1.469

Abstract

The COVID-19 pandemic has spread amost all over the world including Indonesia since March 2020,causing many people got infected. Large-Scale Social Restrictions (PSBB) was enforced, whereas activitiesoutside the home were restricted. After the PSBB period is revoked, people can do actvities outside the homewhile still adhering to health protocols. Compliance with health protocols cannot be separated from publicperceptions of health, namely Health Belief Model. In addition, culture also plays a role in determining one’sbehaviour. This study aimed to examine the relationship between the health belief model and collectiveculture with health protocol compliance. The research method used was a quantitative research method withcorrelation analysis techniques. The number of respondents in this study was 408 people, with age range of20-39 years old and live in Jakarta. The results of the study found that perceivd susceptibiliy, perceivedseverity, perceived benefits, perceived barriers, cues to action, self-efficacy had a relationship with healthprotocol compliance and the most significant correlation was perceived susceptibility. The results alsorevealed that horizontal individualism, vertical individualism, horizontal collective, vertical collective had arelationship ith health protocol compliance ant the most significant relationship is horizontal collective andvertical collective. This research concluded the more someone feels vulnerable being exposed to COVIDand the collective culture that adheres health protocols in the group, the higher compliance.
Marketing Strategy for Strengthening Competitiveness of Small and Medium Enterprises (SMEs) Instant Sambel Post-Covid-19 Pandemic (Case Study of CV Progressive Gresik) Narto
Jurnal Rekayasa Sistem & Industri Vol 8 No 01 (2021): 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.v8i1.458

Abstract

The Covid-19 pandemic that occurred in all countries in the world caused policy shifts globally. Therestriction of public activities in general in all sectors greatly affects the productivity of business actors,especially Small and Medium Enterprises (SMEs) CV Progressive Mengare Gresik instant sauce. Thedecline in product sales is the result of changes in consumer demand behavior. The post-Covid-19pandemic marketing strategy is needed to increase business competitiveness. SWOT analysis integratesinternal and external factors by developing alternative strategies using the SWOT and QSPM matrices todetermine the priority of marketing strategies to improve business competitiveness after the Covid-19pandemic. The research objective is to make efforts to formulate a marketing strategy after the Covid-19pandemic to strengthen the level of business competitiveness of CV Progressive Mengare Gresik SambelInstant SMEs. The results of the strategy formulation are expected to help SMEs in improving themarketing network and sales of the Mengare Gresik instant chili sauce product. The results showed that theposition of instant sambel SMEs CV Progressive Mengare Gresik was in quadrant V with IFAS value2.7037 and EFAS value 2.9416. Alternative strategies based on the priority value of the QSPM matrix of4.9621, namely increasing product promotion through digital marketing and digital branding to expand themarketing network through the marketplace and collaboration with related agencies and local governments
Analysis of the Causes of Defect and Proposed Improvements with Fault Tree Analysis Method in the Drawing Process at PT. XYZ Yunita Nugrahaini Safrudin; Taufik Rahman
Jurnal Rekayasa Sistem & Industri Vol 8 No 01 (2021): 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.v8i1.476

Abstract

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.
The Covid-19 Presence Monitoring System in Water uses Biosensors and Artificial Intelligence based on the Internet of Things Chintya Tribhuana Utami; Nur Wulan Maudini; Riska Aprilia
Jurnal Rekayasa Sistem & Industri Vol 8 No 02 (2021): 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.v8i02.457

Abstract

Water is a source of life for humans, therefore its quality needs to be maintained in order to avoidcontamination of COVID-19. Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) orCOVID-19 is a pandemic virus that attacks the respiratory system and it is contagious to humans.Therefore, we need a system that can monitor and detect this virus in surface water sources. Earlydetection of water contaminated by COVID-19 is important to solve problems in handling the quality ofwater contaminated with the virus or not. The proposed monitoring system consists of several tools andprocesses including biosensors, microcontrollers, classification using K Nearest Neighbor (K-NN) todetect contaminated water or not, and firebase as data storage. Classification results are stored in firebaseand displayed on the frontend application based on the web. The frontend application can be accessed bythe user. The frontend application also displays a graph that describes the water content periodically and areference for the location of the water area contaminated by the virus is displayed.
Customer Preferences and Satisfaction Analysis of Video Conference Application for Productive Activities Using Kano Model Yansen Theopilus; Michael Purwoko
Jurnal Rekayasa Sistem & Industri Vol 8 No 02 (2021): 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.v8i02.460

Abstract

The rapid development of communication technology and the increasing need for long-distancecommunication in the Covid-19 pandemic era have made video conferencing applications play a vital rolein human productive activities, such as working, studying, doing hobbies, and more. The increasing needhas spurred video conferencing application providers to increase customer satisfaction so that it remainsthe first choice for the customers. To win the competition in this sector, video conferencing applicationproviders should understand and provide the application design that provides maximum satisfaction to thecustomers. Therefore, this study aims to analyze customer preferences and satisfaction with the designattributes of the video conference applications which refers to the three most popular video conferencingapplications in Indonesia: Zoom, Google Meet, and Skype. This study used the Kano Model to identifycustomer preference and satisfaction with the 46 identified design attributes of the video conferencingapplication. The Kano Model analysis used quantitative and qualitative approaches to produce the priorityof importance for each design attribute based on customer preferences and the impact of each attribute oncustomer satisfaction. Based on the Kano Model resulted, there are 19 attractive attributes, 1 must-beattribute, 15 one-dimensional attributes, and 9 indifferent attributes. We also obtained the best proposed design attributes where 37 attributes refer to the Zoom application, 6 attributes refer to the Google Meetapplication, and 3 attributes refer to the Skype application. This study contributes to helping videoconferencing application providers to develop their products better as well as being a reference for thosewho want to develop new video conferencing applications that can satisfy customers well. This study alsohas an impact as a reference in evaluating consumer satisfaction on video conferencing applications inIndonesia.
Gender Different Analysis in Actual Behavior of COVID-19 Prevention among College Student (Case Study: Industrial Engineering, Telkom University) Sheila Amalia Salma; Yunita Nugrahaini Safrudin; Dino Caesaron; Tiara Verita Yestica
Jurnal Rekayasa Sistem & Industri Vol 8 No 02 (2021): 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.v8i02.475

Abstract

Various 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.
Design of Game Attribute Development in Ikaan Studio Based on Consumer Preferences using Conjoint Analysis Gregorius Sigit Hermawan Zavit; Sari Wulandari
Jurnal Rekayasa Sistem & Industri Vol 8 No 02 (2021): 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.v8i02.483

Abstract

In updating or creating video games, developers must identify the preferences and attitudes of certain groupsof players towards the specifications and features available, ensuring the elements that make a game widelyplayed and get high ratings at the same time. Ikaan Studio is a developer company that develops the CitampiStories game, with problems with a lack of downloads and a rating that is not so high. The purpose of thisstudy is to develop game products at Ikaan Studio based on game attributes that match player preferences.This study uses conjoint analysis as a research method to find attributes that match the preferences of gameplayers. The first stage, begins with determining the important attributes and the level of game designattributes. Furthermore, the formation of a combination of stimuli using an orthogonal design. Finally, datafrom 209 samples were analyzed by conjoint analysis to determine player preferences. The results revealthat the "tutorial" attribute is the element that is considered the most important for players, followed by the"game mechanic" attribute with the same importance level. On the other hand, the attribute "object" isconsidered the least important. This study also shows that the preferences of players with different genderand age ranges which aims to provide insight to companies regarding preferences in the actual market.
Bubble Window Product Quality Control with New Seven Tools Method (Case Study: PT X) Anriady Miftahul Putra; Indro Prakoso
Jurnal Rekayasa Sistem & Industri Vol 8 No 02 (2021): 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.v8i02.473

Abstract

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.
Comparison of Moving Average, Single Exponential Smoothing, and Trend Analysis Forecasting Methods on Art Board Production Demand (Case Study of PT Pindo Deli Pulp and Paper Mills 1) Monica Widya Putri; Fahriza Nurul Azizah
Jurnal Rekayasa Sistem & Industri Vol 8 No 02 (2021): 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.v8i02.500

Abstract

One of the companies engaged in the manufacturing industry is PT Pindo Deli Pulp and Mills 1, whichproduces various kinds of paper and tissue. Art Board is a type of paper produced by PT Pindo Deli Pulpand Mills 1, and is quite attractive to customers. However, customer demand for Art Board products oftenfluctuates. Product demand is an important aspect to be evaluated, because if the company does not planproperly the company will experience financial losses. Forecasting can be used as a support for companydecision making. Moving Average, Single Exponential Smoothing, and Trend Analysis are the methodsused to support forecasting in this study, where the next step is to analyze the accuracy of the forecastingmethod with the parameter values of MAD, MSE, standard error, bias, and forecasting for the next period.Based on data collection and analysis, it is found that the period 1 moving average method is the bestmethod for forecasting production demand for Art Board products with forecasting for the next period of19410 units, MAD of 3186,182, MSE of 16001250, and a bias of 634,546 meanwhile the standard error is4422,339.

Page 60 of 65 | Total Record : 647

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