{"title":"基于案例推理与最近邻相结合的火山状态推荐","authors":"F. Tempola, A. Arief, Miftah Muhammad","doi":"10.1109/ICITISEE.2017.8285525","DOIUrl":null,"url":null,"abstract":"Reasoning by relying on old data or commonly known as the Case-Based Reasoning has been implemented in many cases. Case-Based Reasoning is one method by utilizing previous cases to produce a solution. This study implements a combination of Case-Based Reasoning and Nearest Neighbor for the determination of the status of the volcano. There are 5 features that serve as a criterion for determining the status of the shallow volcanic, deep tectonic, deep volcanic, earthquake blow and previous mountain status. While the recommended status of the form of Normal, standby and alert. From the test results with 20 data as a case base and 30 test data obtained on average accuracy of the system amounted to 80,91%.","PeriodicalId":130873,"journal":{"name":"2017 2nd International conferences on Information Technology, Information Systems and Electrical Engineering (ICITISEE)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Combination of case-based reasoning and nearest neighbour for recommendation of volcano status\",\"authors\":\"F. Tempola, A. Arief, Miftah Muhammad\",\"doi\":\"10.1109/ICITISEE.2017.8285525\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Reasoning by relying on old data or commonly known as the Case-Based Reasoning has been implemented in many cases. Case-Based Reasoning is one method by utilizing previous cases to produce a solution. This study implements a combination of Case-Based Reasoning and Nearest Neighbor for the determination of the status of the volcano. There are 5 features that serve as a criterion for determining the status of the shallow volcanic, deep tectonic, deep volcanic, earthquake blow and previous mountain status. While the recommended status of the form of Normal, standby and alert. From the test results with 20 data as a case base and 30 test data obtained on average accuracy of the system amounted to 80,91%.\",\"PeriodicalId\":130873,\"journal\":{\"name\":\"2017 2nd International conferences on Information Technology, Information Systems and Electrical Engineering (ICITISEE)\",\"volume\":\"32 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 2nd International conferences on Information Technology, Information Systems and Electrical Engineering (ICITISEE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICITISEE.2017.8285525\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 2nd International conferences on Information Technology, Information Systems and Electrical Engineering (ICITISEE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICITISEE.2017.8285525","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Combination of case-based reasoning and nearest neighbour for recommendation of volcano status
Reasoning by relying on old data or commonly known as the Case-Based Reasoning has been implemented in many cases. Case-Based Reasoning is one method by utilizing previous cases to produce a solution. This study implements a combination of Case-Based Reasoning and Nearest Neighbor for the determination of the status of the volcano. There are 5 features that serve as a criterion for determining the status of the shallow volcanic, deep tectonic, deep volcanic, earthquake blow and previous mountain status. While the recommended status of the form of Normal, standby and alert. From the test results with 20 data as a case base and 30 test data obtained on average accuracy of the system amounted to 80,91%.