K-Means Cluster Analysis for District or City Clustering in Bengkulu Province based on The Number of Base Transceiver Stations and The Strength of Cell Phone Signal

Anisa Rahmawati, E. Setyowati
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Abstract

The existence of a Base Transceiver Station (BTS) and the strength of cell phone signals in an area have greatly affected the ease of communication and exchanging information between people. This is one aspect to measure technological developments in a region. This study aims to use the K-Means algorithm to classify districts or cities in Bengkulu Province based on the proportion of BTS presence, the proportion of villages with strong telephone signals, and the proportion of villages with 4G internet signals. There are three clusters based on these three variables and there are still significant differences between districts or cities in Bengkulu Province. The output of this study becomes an input for the Bengkulu provincial government to be able to pay attention to the distribution of communication infrastructures in their province.
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基于基站数量和手机信号强度的明古鲁省区市聚类的k -均值聚类分析
基站收发信台(BTS)的存在和一个地区中手机信号的强度极大地影响了人们之间通信和信息交换的便利性。这是衡量一个地区技术发展的一个方面。本研究旨在使用K-Means算法,根据BTS的存在比例、电话信号强的村庄比例和4G互联网信号的村庄比例,对明古鲁省的地区或城市进行分类。基于这三个变量有三个集群,明古鲁省的各区或市之间仍存在显著差异。这项研究的成果成为明古鲁省政府关注该省通信基础设施分布的投入。
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审稿时长
4 weeks
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