W. G. S. Parwita, N. L. W. S. R. Ginantra, I. M. Asana, I. G. N. A. Dharma
{"title":"Retail Data Visualization in Business Intelligence System for Ayu Nadi Group","authors":"W. G. S. Parwita, N. L. W. S. R. Ginantra, I. M. Asana, I. G. N. A. Dharma","doi":"10.4108/eai.27-11-2021.2315530","DOIUrl":"https://doi.org/10.4108/eai.27-11-2021.2315530","url":null,"abstract":". Ayu Nadi is a company engaged in the daily needs retail industry. Ayu Nadi applies a computer-based information system in recording and managing data that produces operational information on company transactions, including sales reports, purchase reports, goods return reports, stock cards, etc. The report format was presented in tabular form, where data and information were presented in the form of tables. The resulting report could not display interactive information such as describing sales growth. The difference between item sales comparisons became the weaknesses of the report results. Thus, other applications were needed to reprocess tabulated data into information in the form of graphs. In this study, a website-based business intelligence system was built to assist companies in processing the tabulated data into information in graphs that did not require a long time. The research method used in this study was the nine steps Kimball method. The research was conducted through functional needs analysis, data warehouse design, extract transform load process, implementation of business intelligence, and system testing. This system was tested using the black box testing method and user acceptance test and has provided the results of the system was running as needed. The result of this study was a dashboard that showed information in the form of graphs to assist in decision-making.","PeriodicalId":246168,"journal":{"name":"Proceedings of the 4th International Conference on Vocational Education and Technology, IConVET 2021, 27 November 2021, Singaraja, Bali, Indonesia","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130004243","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Comparison of C4.5 and CART (Classification and Regression Tree) Algorithm in Classification of Occupation for Fresh Graduate","authors":"Febian Joshua Reynara, Sepriana Carolina, Iustisia Natalia Simbolon","doi":"10.4108/eai.27-11-2021.2315527","DOIUrl":"https://doi.org/10.4108/eai.27-11-2021.2315527","url":null,"abstract":". The problem that college students face is the difficulty of determining the appropriate field of work after they graduate from college. In this study, a classification of the field of work was carried out using the data mining method based on the alumni field of work data. The data on the field of work of alumni contained information such as gender, study program, practical work topics, types of practical work companies, final project topics, and year of graduation. The classification on the field of work carried out was divided into three types of experiments, namely experiments in eight target categories (STQA Engineer, Software and Mobile Application Developer, Web Developer, UI/UX Designer, Software and Business Analyst, Lecturer and Researcher, AI Engineer, DevOps and Cybersecurity Practitioner), three target categories (SQA, Programmer, Data Manager, and Analyst) and two target categories (Programmer and Non-Programmer). The data mining algorithms used to classify were C4.5 and CART (Classification and Regression Tree). The accuracy obtained using the C4.5 algorithm was 42% in the eight categories experiment, 58% in the three categories experiment, and 75% in the two categories experiment. In comparison, the accuracy obtained using the CART algorithm was 43% in the eight categories experiment, 61% in the three categories experiment, and 77% in the two categories experiment. Based on the experimental results, it can be concluded that the best algorithm to classify the fields of work based on alumni data from the two algorithms used is the CART algorithm, even though the difference is not too significant.","PeriodicalId":246168,"journal":{"name":"Proceedings of the 4th International Conference on Vocational Education and Technology, IConVET 2021, 27 November 2021, Singaraja, Bali, Indonesia","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131459826","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. Artiyasa, Muhamad Shobirin, Kwarta Okta Fidiyanto, Yogi Listiarga
{"title":"A Prototype of Oufall Temperature Monitoring at Steam Power Plant Using Blynk Application","authors":"M. Artiyasa, Muhamad Shobirin, Kwarta Okta Fidiyanto, Yogi Listiarga","doi":"10.4108/eai.27-11-2021.2315638","DOIUrl":"https://doi.org/10.4108/eai.27-11-2021.2315638","url":null,"abstract":"","PeriodicalId":246168,"journal":{"name":"Proceedings of the 4th International Conference on Vocational Education and Technology, IConVET 2021, 27 November 2021, Singaraja, Bali, Indonesia","volume":"252 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122722263","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Multitrait-Multimethod Technique for Construct Validity: A Case Study for Instruments of Critical Thinking Ability and Creative Thinking Ability in Programming Course","authors":"N. M. S. Mertasari, I. Candiasa","doi":"10.4108/eai.27-11-2021.2315544","DOIUrl":"https://doi.org/10.4108/eai.27-11-2021.2315544","url":null,"abstract":"","PeriodicalId":246168,"journal":{"name":"Proceedings of the 4th International Conference on Vocational Education and Technology, IConVET 2021, 27 November 2021, Singaraja, Bali, Indonesia","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128451350","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}