Data Visualization Of House Of Worship Distribution In The IKN Nusantara Region Using Python

Jurnal Ilmiah Merpati Menara Penelitian Akademika Teknologi Informasi Pub Date : 2023-04-26 DOI:10.24843/jim.2023.v11.i01.p01

Kadek Noppi, A. Jaya, Fauzi, Agus Suryana, Albertus Dwiyoga Widiantoro, Dewa Kadek, Laksana Digita

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引用次数: 4

Abstract

Nusantara, Indonesia's new capital, has a land area 256,142 ha and a marine area 68,189 ha. Transmigrant residents in the North Penajam Paser Regency region has increased as a result. The difficulty of finding a place of worship in the closest location because they are unfamiliar with their location or the nearby roadways. We can utilize data visualization to show the distribution of places of worship in order to solve this issue. Analysis was done on several types of houses of worship, including mosques, churches, and musholla. Python is the programming language, and the libraries used are NumPy, Pandas, Matplotlib, Seaborn, RegEx, and Folium. Muslims for the majority of places of worship in IKN Nusantara (91.26%), musholla making up 57.92% of the total and mosques making up 33.33% and 8.74% are owned by Christians. Sukaraja Village, Semoi Dua Village, Argo Mulyo Village, and Tengin Baru Village have the highest concentration. Keywords: Data Visualization, House of Worship, IKN Nusantara, Python

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使用Python实现IKN Nusantara地区礼拜堂分布的数据可视化

努沙塔拉是印度尼西亚的新首都，陆地面积256142公顷，海洋面积68189公顷。因此，北Penajam Paser Regency地区的移民居民有所增加。很难在最近的地方找到一个礼拜场所，因为他们不熟悉自己的位置或附近的道路。为了解决这个问题，我们可以利用数据可视化来显示宗教场所的分布。对几种类型的礼拜场所进行了分析，包括清真寺、教堂和清真寺。Python是编程语言，使用的库有NumPy、Pandas、Matplotlib、Seaborn、RegEx和Folium。努沙塔拉的宗教场所以穆斯林为主(占91.26%)，穆斯林占57.92%，清真寺占33.33%，基督徒占8.74%。Sukaraja村、Semoi Dua村、Argo Mulyo村和Tengin Baru村的浓度最高。关键词:数据可视化，神殿，IKN Nusantara, Python

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Jurnal Ilmiah Merpati Menara Penelitian Akademika Teknologi Informasi

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24 weeks