{"title":"Industrial Profiling for Job Placement and Market Demand Analysis Using eMOTIKON","authors":"Muhamad Firdaus Ali, Shahrizwan Effendi Hashmi, Muhammad Akmal Hazim, Aziyati Yusoff","doi":"10.1109/ICSET53708.2021.9612573","DOIUrl":null,"url":null,"abstract":"During the pandemic and post pandemic era, securing a job is among the critical situation that affects the socio-economic development. Although many have claimed to lose their jobs and the prospects of occupations have changed to something known as new normal, the industry has yet to quit and determined to recover after the pandemic is over. This research is done to develop a system that is able to create and store industrial profiles. This profile will return specifications on market demand and job descriptions to match the learning and training institutions curricula so that the graduates would be able to meet the industrial needs. Simultaneously, this system is also able to deduce on the demand analysis to guide the supply institutions not to deviate on the real-time industry expectations. The system developed for this research is known as eMOTIKON which stands for (in Malay words) e-MoU Tenaga Kerja Industri-KBS Online which is translated to be the electronic-based data of developing workforce through MoUs between the industry and the Ministry of Youth and Sports, Malaysia.","PeriodicalId":433197,"journal":{"name":"2021 IEEE 11th International Conference on System Engineering and Technology (ICSET)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE 11th International Conference on System Engineering and Technology (ICSET)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSET53708.2021.9612573","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
During the pandemic and post pandemic era, securing a job is among the critical situation that affects the socio-economic development. Although many have claimed to lose their jobs and the prospects of occupations have changed to something known as new normal, the industry has yet to quit and determined to recover after the pandemic is over. This research is done to develop a system that is able to create and store industrial profiles. This profile will return specifications on market demand and job descriptions to match the learning and training institutions curricula so that the graduates would be able to meet the industrial needs. Simultaneously, this system is also able to deduce on the demand analysis to guide the supply institutions not to deviate on the real-time industry expectations. The system developed for this research is known as eMOTIKON which stands for (in Malay words) e-MoU Tenaga Kerja Industri-KBS Online which is translated to be the electronic-based data of developing workforce through MoUs between the industry and the Ministry of Youth and Sports, Malaysia.