H. Warnars, F. Gaol, A. Trisetyarso, E. Abdurachman, Dedy Prasetya Kristiadi, T. Matsuo
{"title":"Understanding of data mining in computer science learning from PILKADA DKI Jakarta 2017","authors":"H. Warnars, F. Gaol, A. Trisetyarso, E. Abdurachman, Dedy Prasetya Kristiadi, T. Matsuo","doi":"10.1109/COMCOM.2017.8167105","DOIUrl":"https://doi.org/10.1109/COMCOM.2017.8167105","url":null,"abstract":"DKI Jakarta gubernatorial election 2017 was phenomenal event which draws attention worldwide, where one of the defeated candidate Ahok or recognized as Basuki Tjahaja Purnama was charged with blasphemy, has double minority background in Indonesia as descendants of China and Christian and he was titled “Man of the Year” 2015 by Globe Asia magazine. However, in this paper we do not interested with political conversation, how one candidate couples can win or how one candidate couples could lose. We are interested to learn based on our science knowledge in Computer Science perspective particularly with the term of Data Mining with this 5 years DKI Jakarta event program. Hopefully, by reading this paper the students of Computer Science can understand their Computer Science knowledge in their surrounding life events. Obviously, voters' decisions are influenced by human nature characteristic which like to similarity preferences, where human like to choose someone who have full or frequent similarity in profile and/or program. Beforehand, voters should do learning by doing the characterization of their and candidate couples' profile and program. Afterwards, based on candidate couples' profile and program, the voters will do discrimination between candidate couples, classification, clustering or association among candidate couples. Admittedly, the voters will fill their ballot based on their preference similarity.","PeriodicalId":191373,"journal":{"name":"2017 International Conference on Applied Computer and Communication Technologies (ComCom)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116445634","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}
Rakhmat Arianto, F. Gaol, E. Abdurachman, Y. Heryadi, H. Warnars, B. Soewito, H. Pérez-Sánchez
{"title":"Quality measurement of android messaging application based on user experience in Microblog","authors":"Rakhmat Arianto, F. Gaol, E. Abdurachman, Y. Heryadi, H. Warnars, B. Soewito, H. Pérez-Sánchez","doi":"10.1109/COMCOM.2017.8167099","DOIUrl":"https://doi.org/10.1109/COMCOM.2017.8167099","url":null,"abstract":"There are many options of android messaging application which give opportunity to user in order to choose which one as best or famous android messaging application and make it become suitable for them. Usually, people used to look at the information about best or famous android messaging application by texting in search engine such as google and get some link information from user/blogger reviews, and based on that reviews they will make decisions which one as suitable for them. We proposed the other way how to measure the quality of each android messaging application based on user experience which they text in Microblog such as Twitter. The unstructured data in the Microblog will be processed with 2 operators for sentiment analysis method in RapidMiner such as AYLIEN and ROSETTE. AYLIEN sentiment analysis has 3 categories such as positive, negative, and neutral, whilst ROSETTE sentiment analysis has 2 categories such as positive and negative sentiments. Finally, the finding sentiment analysis with these 2 operators will be compared with PlayStore review.","PeriodicalId":191373,"journal":{"name":"2017 International Conference on Applied Computer and Communication Technologies (ComCom)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124317243","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":"Factors for improving quality education startup : A review of the literature","authors":"Anton Wardaya, Yosef Dedy Pradipto","doi":"10.1109/COMCOM.2017.8167088","DOIUrl":"https://doi.org/10.1109/COMCOM.2017.8167088","url":null,"abstract":"E-learning is developing very fast in millennium era. Beside that startups have an important role in this era. One of the objective in this study is to see the factors for improving education startup. Finding the most important factors from many factors for quality education startup. By using a method for the review, the authors selected a set of journals, which cover the knowledge of this study. In total, 11 articles about “e-learning and startups” have been selected and the full papers have been analysed.","PeriodicalId":191373,"journal":{"name":"2017 International Conference on Applied Computer and Communication Technologies (ComCom)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115971986","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}
H. Warnars, F. Gaol, N. F. Sianipar, B. S. Abbas, Horacio Emilio Perez Sanchez
{"title":"Easy understanding for mining discriminant itemset with emerging patterns","authors":"H. Warnars, F. Gaol, N. F. Sianipar, B. S. Abbas, Horacio Emilio Perez Sanchez","doi":"10.1109/COMCOM.2017.8167083","DOIUrl":"https://doi.org/10.1109/COMCOM.2017.8167083","url":null,"abstract":"This paper will give basic knowledge understanding how to discriminate between two datasets with Emerging Patterns (Eps) upon famous weather dataset. This paper didn't use previous data mining techniques such as border-based algorithm or so on, but only to give the systematic basic knowledge understanding to discriminate between two datasets by finding score of support, growthrate and confidence. The discrimination will give example to differ between two datasets with itemset/pattern which consist one attribute/dimension or multidimensional attributes and of course by finding Jumping EPs (JEPs) as strong discrimination with proofing of their finding growthrate with confidence score. The finding discrimination shows as uninterested or interested discrimination when having confidence below or greater than 50%. These discrimination results can be used for classification purposes as well.","PeriodicalId":191373,"journal":{"name":"2017 International Conference on Applied Computer and Communication Technologies (ComCom)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130716407","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":"Object oriented metrics to measure the quality of software upon PHP source code with PHP_depend study case request online system application","authors":"Sarwo, H. Warnars, F. Gaol, R. Randriatoamanana","doi":"10.1109/COMCOM.2017.8167097","DOIUrl":"https://doi.org/10.1109/COMCOM.2017.8167097","url":null,"abstract":"Nowadays, a company should be equipped with information technology and one of them is business application either web based or non web based which is built with object oriented programming in order to help the management to run their daily business processes. In order to supports a company with best excellent software applications then we need to make sure the quality of software application in term of easy to maintenance, understandability, reusability and so on. In term to measure the quality of software, there are many software metrics applications either free or proprietary which can be downloaded on Internet and one of them is PHP_depend. PHP_depend is software metrics which measure the quality of software based on PHP source code, by taking the PHP source code and parses it into Abstract Syntax Tree (AST). This paper will investigate how to measure quality of software based on PHP source code with PHP_depend software metrics. The investigation will examine codes from Request online system application which supports improvement or update request upon SAP application in Astra Graphia Information Technology PT. The measurement will be assessed based on metrics which is categorized into project, package, file, class and methods.","PeriodicalId":191373,"journal":{"name":"2017 International Conference on Applied Computer and Communication Technologies (ComCom)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125204835","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":"Identification of key success factors and challenges for ERP systems — A systematic literature review","authors":"S. Wijaya, Harjanto Prabowo, Meyliana, R. Kosala","doi":"10.1109/COMCOM.2017.8167091","DOIUrl":"https://doi.org/10.1109/COMCOM.2017.8167091","url":null,"abstract":"Organizations need information system as a tool for decision making. Enterprise Resource Planning (ERP) systems are a tool of information systems to achieve work efficiency. ERP systems are the best solution to maintain a competitive advantage for most organizations. Successful implementations of ERP systems have a lot of benefits for the organizations. But the fact that many organizations have failed in implementing ERP systems, but also many organizations have succeeded in implementation of ERP systems. It is the challenge for the organizations to implementation of ERP systems success. The purpose of this study is to propose identify key success factors and challenges for ERP systems. This study employs Systematic. Literature Review approach for review and summary about the key success factors of ERP implementation.","PeriodicalId":191373,"journal":{"name":"2017 International Conference on Applied Computer and Communication Technologies (ComCom)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130028533","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}