PERANCANGAN DATA WAREHOUSE DAN PENERAPAN ALGORITMA ID3 PADA ANALISA POTENSI DAN HAMBATAN PERKEMBANGAN DESA BERDASARKAN POLA HIDUP MASYARAKAT

Sehman Sehman
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Abstract

The lack of understanding of the importance of data will result in a large impact loss because with the existence of an important sense of the data, an agency either private or public company will easily make decisions. A data warehouse is an option that must be considered for the village in processing and storing large classified data such as data from a village. In addition to the application of the research data warehouse, it also uses the ID3 algorithm which is useful as a theory to analyze the potentials and obstacles that affect the development of a village based on the data of the lifestyle of the local community. Data on population, education, health, conditions of infrastructure, village finance, village assets, community organizations, community economic activities and daily activities of the village community will be extracted and stored by building a data warehouse, data is sought from data warehouse which will be used as dataset pattern community life so that it is easily analyzed and can be used as training data to make decisions by applying the ID3 algorithm. The ID3 algorithm that has been applied to the community lifestyle dataset will produce a rule that has an influential potential class, and the potential to hamper village development. The accuracy of the system to be made has a hypothesis of 95%. because the rule generated by id3 will be compared with the rule collected based on respondents from the previous data, which is data on urban residents who have advanced.
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基于人们生活方式的村庄开发潜力和障碍分析与ID3算法的应用
缺乏对数据重要性的理解将导致巨大的影响损失,因为有了重要的数据意识,一个机构,无论是私人还是上市公司,都很容易做出决策。数据仓库是村庄在处理和存储大型分类数据(如来自村庄的数据)时必须考虑的选项。除了研究数据仓库的应用之外,它还使用了ID3算法作为一种理论,可以根据当地社区的生活方式数据来分析影响村庄发展的潜力和障碍。通过建立数据仓库,提取和存储村庄社区的人口、教育、卫生、基础设施状况、村庄金融、村庄资产、社区组织、社区经济活动和日常活动等数据,从数据仓库中寻找数据,将数据作为数据集模式社区生活,便于分析,并可作为应用ID3算法进行决策的训练数据。应用于社区生活方式数据集的ID3算法将产生一个具有影响力的潜在类别的规则,并有可能阻碍村庄的发展。该系统的精确度假设为95%。因为id3生成的规则会与之前的数据中根据被调查者收集的规则进行比较,而之前的数据是城市居民的数据。
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