基于Android的地理定位技术与Jepara区域的UMKM地图的目标

Noor Azizah, N. Widiastuti
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引用次数: 2

摘要

微型、小型和中型企业(MSMEs)是工业部门,对维持Jepara摄政的经济非常重要。2016年,耶帕拉县共有18,695家中小企业,包括木雕、troso编织、铜刀(蒙奈尔)珠宝、雕塑、藤条工艺品、书法和浮雕。Jepara中小企业的数量使得买家或游客在购买质量各异、价格有竞争力的产品时有很多选择。此外,他们有时也会在寻找中小企业的位置上感到困惑。因此,该应用程序通过提供基于位置的信息中心工业服务来解决这些问题。这个应用程序预计将有助于游客找到要处理的工业的位置。地理定位技术用于识别可应用于Android操作系统的真实地理位置。因此,这个应用程序提供了商店描述服务、产品照片和地图。中小企业在地图中的应用采用k-均值算法。使用的参数是行业类型,员工数量,每年的营业额,使用的工具。对于聚类有3类,即小、中、大。该算法的优点是可以根据一组数据的相似度对数据进行分组,尽量减少组间相同的数据,不能处理缺失值的数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Teknologi Geolocation Berbasis Android dengan Metode K-Means untuk Pemetaan UMKM di Kabupaten Jepara
Micro, Small and Medium Enterprises (MSMEs) are industrial sectors that are very important to sustain the economy of Jepara Regency. There are 18,695 Small and Medium Enterprises (SMEs) in Jepara Regency in 2016, including wood carving, troso weaving, chopper brass (monel) jewelry, sculpture, rattan crafts, calligraphy, and reliefs. The number of SMEs in Jepara makes buyers or tourists have many choices in buying products of varying quality and competitive prices. In addition, sometimes they are also confused in finding the location of SMEs. Therefore, this application is made to solve these problems by making an application that provides location-based information center industrial services. This application is expected to facilitate tourists in finding the location of the industry to be addressed. Geolocation technology is used to identify real-world geographic locations that can be applied to the Android operating system. So this application provides store description services, product photos, and maps. SMEs are presented in the application in the map using the k-mean algorithm. The parameters used are the type of industry, number of employees, turnover per year, tools used. For the clustering have 3 categories, there are namely small, medium and large. The advantages of this algorithm can group data according to the similarity of data used in one group and minimize the same data between groups and cannot process data that is a missing value.
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