{"title":"知识管理系统使用情况的记录和定量评价方法","authors":"Karto Iskandar","doi":"10.1109/ICIMTECH.2016.7930304","DOIUrl":null,"url":null,"abstract":"Knowledge Management System (KMS) function to support the Knowledge Management process, to create, capture, share, reuse and optimize the knowledge. Knowledge Management System usage need to be evaluated after some period of use in order to know how success the implementation the system. This study is to evaluate the usage of a Knowledge Management System a case in Bina Nusantara (BINUS) University, Jakarta city, Indonesia. This evaluation purpose is to know what the most favorite module, when the peak season of this Knowledge Management System use, how big the user data growth, how big the content data growth, and what the pattern of Knowledge Management System usage. The method in this study is activating the logging feature that allows system to gain exact quantitative insight into the usage statistics of the Knowledge Management System. Then collected this data over 9 months from March to November 2015. Based on this logging data and quantitative method, this study evaluate the Knowledge Management System usage data, and then got the results are: first, the most 3 favorite modules are Quality Standards, Photo, and Documents. Second, the peak season of this Knowledge Management System use is month October, September, and August. Third, information about the user data growth. Fourth, information about the content data growth and fifth, information about the pattern of Knowledge Management System usage.","PeriodicalId":327070,"journal":{"name":"2016 International Conference on Information Management and Technology (ICIMTech)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Knowledge Management System usage evaluation with logging and quantitative method\",\"authors\":\"Karto Iskandar\",\"doi\":\"10.1109/ICIMTECH.2016.7930304\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Knowledge Management System (KMS) function to support the Knowledge Management process, to create, capture, share, reuse and optimize the knowledge. Knowledge Management System usage need to be evaluated after some period of use in order to know how success the implementation the system. This study is to evaluate the usage of a Knowledge Management System a case in Bina Nusantara (BINUS) University, Jakarta city, Indonesia. This evaluation purpose is to know what the most favorite module, when the peak season of this Knowledge Management System use, how big the user data growth, how big the content data growth, and what the pattern of Knowledge Management System usage. The method in this study is activating the logging feature that allows system to gain exact quantitative insight into the usage statistics of the Knowledge Management System. Then collected this data over 9 months from March to November 2015. Based on this logging data and quantitative method, this study evaluate the Knowledge Management System usage data, and then got the results are: first, the most 3 favorite modules are Quality Standards, Photo, and Documents. Second, the peak season of this Knowledge Management System use is month October, September, and August. Third, information about the user data growth. Fourth, information about the content data growth and fifth, information about the pattern of Knowledge Management System usage.\",\"PeriodicalId\":327070,\"journal\":{\"name\":\"2016 International Conference on Information Management and Technology (ICIMTech)\",\"volume\":\"30 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 International Conference on Information Management and Technology (ICIMTech)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIMTECH.2016.7930304\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 International Conference on Information Management and Technology (ICIMTech)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIMTECH.2016.7930304","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Knowledge Management System usage evaluation with logging and quantitative method
Knowledge Management System (KMS) function to support the Knowledge Management process, to create, capture, share, reuse and optimize the knowledge. Knowledge Management System usage need to be evaluated after some period of use in order to know how success the implementation the system. This study is to evaluate the usage of a Knowledge Management System a case in Bina Nusantara (BINUS) University, Jakarta city, Indonesia. This evaluation purpose is to know what the most favorite module, when the peak season of this Knowledge Management System use, how big the user data growth, how big the content data growth, and what the pattern of Knowledge Management System usage. The method in this study is activating the logging feature that allows system to gain exact quantitative insight into the usage statistics of the Knowledge Management System. Then collected this data over 9 months from March to November 2015. Based on this logging data and quantitative method, this study evaluate the Knowledge Management System usage data, and then got the results are: first, the most 3 favorite modules are Quality Standards, Photo, and Documents. Second, the peak season of this Knowledge Management System use is month October, September, and August. Third, information about the user data growth. Fourth, information about the content data growth and fifth, information about the pattern of Knowledge Management System usage.