M. V. G. Aziz, A. Prihatmanto, Diotra Henriyan, Rifki Wijaya
{"title":"Design and implementation of natural language processing with syntax and semantic analysis for extract traffic conditions from social media data","authors":"M. V. G. Aziz, A. Prihatmanto, Diotra Henriyan, Rifki Wijaya","doi":"10.1109/ICSENGT.2015.7412443","DOIUrl":"https://doi.org/10.1109/ICSENGT.2015.7412443","url":null,"abstract":"Traffic congestion is still a crucial issue because it has a huge impact from the waste of time, the fuel to air pollution. Search information on traffic conditions have been widely available such as through Twitter and the website of CCTV, but the rapid development of online information services resulted in the lack of time to read the complete information. By utilizing the Twitter data, then created a summary regarding the traffic, the summary can improve time efficiency and effectiveness in obtaining information about traffic conditions. However, the structure of the language of Twitter tweets unstructured and raw cause difficult to process information computer, to solve these problems then summarize it using Natural Language Processing approach the syntactic and semantic analysis to improve the structure of words and sentence parsing so that it can classify traffic conditions tweet of the sentence.","PeriodicalId":410563,"journal":{"name":"2015 5th IEEE International Conference on System Engineering and Technology (ICSET)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115998321","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}
R. Wijaya, A. Setijadi, T. Mengko, M. V. G. Aziz, Ekal Hadiyatma
{"title":"Design application to lose weight of overweight person (Steppy Application)","authors":"R. Wijaya, A. Setijadi, T. Mengko, M. V. G. Aziz, Ekal Hadiyatma","doi":"10.1109/ICSENGT.2015.7412444","DOIUrl":"https://doi.org/10.1109/ICSENGT.2015.7412444","url":null,"abstract":"Obesity increases the chances of various diseases, particularly heart disease, diabetes type 2, obstructive sleep apnea, certain cancers, osteoarthritis and asthma. Obesity is often caused by a combination of excessive food energy intake, lack of physical activity, and genetic susceptibility, although a few cases are caused primarily by genes, endocrine disorders, medications or psychiatric illness. Through this application, hopefully people will gain their healthy. This application has gamification to lead people to do walk activity.","PeriodicalId":410563,"journal":{"name":"2015 5th IEEE International Conference on System Engineering and Technology (ICSET)","volume":"309 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124395826","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}