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首页> 外文会议>Nommensen International Conference on Technology and Engineering >Data mining tools rapidminer: K-means method on clustering of rice crops by province as efforts to stabilize food crops in Indonesia
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Data mining tools rapidminer: K-means method on clustering of rice crops by province as efforts to stabilize food crops in Indonesia

机译：数据挖掘工具 RAPINMINER：K-MEASE Province省粮食作物作为努力稳定印度尼西亚粮食作物的努力

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Indonesia is an agriculture-based country.agriculture is a sector that becomes the backbone of Indonesia's economic development and improvement. Food security is one of the most important of farms. There are several types of food crops that become important commodities for the nation of Indonesia namely rice, corn, peanut, green beans, cassava and sweet potatoes. This research data is sourced from BPS-Statistic (https://www. bps. go.id/). This research raised the topic of rice crops clustering by province (1993-2015) using data mining with K-means method. The method used with the help of rapidminer software. The sample data used are 34 provinces in Indonesia with 3 parameters, namely: 1). lack of Harvest Area (hectares), 2). Productivity (quintal / hectare) and 3). Production (ton).cluster results using 3 clusters: (C1) high production cluster, (C2) normal production cluster and (C3) low production cluster. Based on the research results obtained (C1) high production cluster = 3 provinces, (C2) nonnal production cluster = 23 provinces and (C3) low production cluster = 8 provinces. This study also uses "% performance" to see the accuracy of the algorithm used with the research topic. From the result of accuracy using parameter average within centroid distance and Davies Bouldin obtained Davies-Bouldin index for rice plant is -0. 392. Based on these performance results can be summed up as the best algorithm based on criteria. The lowest cluster clustering (C3): Aceh, North Sumatera, West Sumatera, South Sumatera, Lampung, West Nusa Tenggara, South Kalimantan, and South Sulawesi are input inputs to the government, to provide socialization to the province to increase rice production, is one of the commodities of Indonesian people, especially rice.
机译：印度尼西亚是一家以农业为基础的国家。农场是一个成为印度尼西亚经济发展和改善的骨干的部门。粮食安全是最重要的农场之一。有几种类型的粮食作物，成为印度尼西亚国家的重要商品，即米饭，玉米，花生，青豆，木薯和甜土豆。该研究数据来自BPS统计数据（HTTPS：// www.bps。go.id/）。本研究提出了省份（1993 - 2015）的稻田聚类主题，使用数据挖掘与k均值法。该方法在Rapidminer软件的帮助下使用。所使用的样本数据是印度尼西亚的34个省份，其中3个参数，即：1）。缺乏收获区（公顷），2）。生产力（Quintal /公顷）和3）。生产（吨）.Cluster结果采用3集群：（C1）高生产集群，（C2）正常生产集群和（C3）低生产群集。基于获得的研究结果（C1）高产群= 3个省份，（C2）Nonnal生产集群= 23个省份和（C3）低产量集群= 8个省份。本研究还使用“％性能”来查看与研究主题一起使用的算法的准确性。从准确度使用质心距离内的参数平均线，戴维斯博尔德获得了米厂的Davies-Bouldin指数为-0。 392.根据这些性能，可以将结果作为基于标准的最佳算法总结。最低的集群聚类（C3）：Aceh，North Sumatera，West Sumatera，South Sumatera，Lampung，West Nusa Tenggara，South Kalimantan和South Sulawesi是政府的投入投入，为省内提供社会化以增加水稻生产，是印度尼西亚人民的商品之一，特别是米饭。

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