{"title":"基于德尔菲第二轮效度的印尼智慧政府概念模型设计","authors":"A. Arief, D. I. Sensuse","doi":"10.1109/ICACSIS.2018.8618239","DOIUrl":null,"url":null,"abstract":"Indonesia as one of the developing countries in the South Asia region, which is an inseparable part of world globalization in the era of digitalization. Better public services and demand accountability in government institutions become the main need to transform be a developed country. Smart government is the key components and the next stage of smart cities initiatives in Indonesia. This research is an initiative of the initiation of a conceptual model for smart government in Indonesia. The methodology used to conduct an assessment literature review to obtain an assessment theory from the literature findings in the last 10 years (2009–2018). The model validation using statistics method and expert judgment from the academics to improve the results of the conclusions obtained from the model initiation. The results of the Delphi 2nd round validity show that there are 20 basic components or critical factor proposed in the initiation model that we call the Nusantara Smart Government Model (NSGM). Furthermore, from this alternative strategy model, we call intelligent planning as the initial pillar that must be done in the direction of smart government. Validation with expert judgment results, 80% agreed and validity index $>0.7$ with our work shows that NSGM is ready to proceed to validate the real government data indicators in Indonesia.","PeriodicalId":207227,"journal":{"name":"2018 International Conference on Advanced Computer Science and Information Systems (ICACSIS)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Designing A Conceptual Model for Smart Government in Indonesia using Delphi 2nd Round Validity\",\"authors\":\"A. Arief, D. I. Sensuse\",\"doi\":\"10.1109/ICACSIS.2018.8618239\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Indonesia as one of the developing countries in the South Asia region, which is an inseparable part of world globalization in the era of digitalization. Better public services and demand accountability in government institutions become the main need to transform be a developed country. Smart government is the key components and the next stage of smart cities initiatives in Indonesia. This research is an initiative of the initiation of a conceptual model for smart government in Indonesia. The methodology used to conduct an assessment literature review to obtain an assessment theory from the literature findings in the last 10 years (2009–2018). The model validation using statistics method and expert judgment from the academics to improve the results of the conclusions obtained from the model initiation. The results of the Delphi 2nd round validity show that there are 20 basic components or critical factor proposed in the initiation model that we call the Nusantara Smart Government Model (NSGM). Furthermore, from this alternative strategy model, we call intelligent planning as the initial pillar that must be done in the direction of smart government. Validation with expert judgment results, 80% agreed and validity index $>0.7$ with our work shows that NSGM is ready to proceed to validate the real government data indicators in Indonesia.\",\"PeriodicalId\":207227,\"journal\":{\"name\":\"2018 International Conference on Advanced Computer Science and Information Systems (ICACSIS)\",\"volume\":\"29 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 International Conference on Advanced Computer Science and Information Systems (ICACSIS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICACSIS.2018.8618239\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on Advanced Computer Science and Information Systems (ICACSIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICACSIS.2018.8618239","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Designing A Conceptual Model for Smart Government in Indonesia using Delphi 2nd Round Validity
Indonesia as one of the developing countries in the South Asia region, which is an inseparable part of world globalization in the era of digitalization. Better public services and demand accountability in government institutions become the main need to transform be a developed country. Smart government is the key components and the next stage of smart cities initiatives in Indonesia. This research is an initiative of the initiation of a conceptual model for smart government in Indonesia. The methodology used to conduct an assessment literature review to obtain an assessment theory from the literature findings in the last 10 years (2009–2018). The model validation using statistics method and expert judgment from the academics to improve the results of the conclusions obtained from the model initiation. The results of the Delphi 2nd round validity show that there are 20 basic components or critical factor proposed in the initiation model that we call the Nusantara Smart Government Model (NSGM). Furthermore, from this alternative strategy model, we call intelligent planning as the initial pillar that must be done in the direction of smart government. Validation with expert judgment results, 80% agreed and validity index $>0.7$ with our work shows that NSGM is ready to proceed to validate the real government data indicators in Indonesia.