N. Setyasaputra, Suhardi, Riyan Mahendra Saputra, Wardani Muhamad
{"title":"Designing Service-oriented Platform for Remote Sensing Ground Station Data Management","authors":"N. Setyasaputra, Suhardi, Riyan Mahendra Saputra, Wardani Muhamad","doi":"10.1109/ICITSI56531.2022.9970783","DOIUrl":null,"url":null,"abstract":"The use of information technology is increasing rapidly becoming the main support in organizational activities, especially in data management activity. Remote Sensing Satellite Data Management, for example, is indispensable especially at ground stations. One of them is the Parepare Ground Station which has an important role in producing data to meet the sustainability of national data availability in Indonesia. Currently, data management for ground station uses an information system, but they are still in silos, so they cannot communicate with each other and are in sync. So that remote sensing ground station data management activities are important to be developed for the better. Therefore, design of service-oriented information technology in this activity is needed to determine the gaps that exist between the running system and the needs of users by using Service-oriented Platform. Therefore, Service-oriented Platform is designed using Services Computing Systems Engineering (SCSE) Framework for remote sensing ground station data management platform model. Remote sensing ground station data management platform model validated using Service-oriented Architecture (SOA) approach has coupling factor value of 0.0057 (loosely coupled), cohesion factor value of 0.8145 (high cohesion), complexity factor of 0.0070 (not complex), and the value of reusability factor of 2.5833 (reusable).","PeriodicalId":439918,"journal":{"name":"2022 International Conference on Information Technology Systems and Innovation (ICITSI)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Conference on Information Technology Systems and Innovation (ICITSI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICITSI56531.2022.9970783","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The use of information technology is increasing rapidly becoming the main support in organizational activities, especially in data management activity. Remote Sensing Satellite Data Management, for example, is indispensable especially at ground stations. One of them is the Parepare Ground Station which has an important role in producing data to meet the sustainability of national data availability in Indonesia. Currently, data management for ground station uses an information system, but they are still in silos, so they cannot communicate with each other and are in sync. So that remote sensing ground station data management activities are important to be developed for the better. Therefore, design of service-oriented information technology in this activity is needed to determine the gaps that exist between the running system and the needs of users by using Service-oriented Platform. Therefore, Service-oriented Platform is designed using Services Computing Systems Engineering (SCSE) Framework for remote sensing ground station data management platform model. Remote sensing ground station data management platform model validated using Service-oriented Architecture (SOA) approach has coupling factor value of 0.0057 (loosely coupled), cohesion factor value of 0.8145 (high cohesion), complexity factor of 0.0070 (not complex), and the value of reusability factor of 2.5833 (reusable).