GeoJSON Implementation for Demographic and Geoghraphic Data Integration Using RESTful Web Services

Rahmatulloh, Alam and Handoko, Bambang Tri and Shofa, Rahmi Nur and Darmawan, Irfan GeoJSON Implementation for Demographic and Geoghraphic Data Integration Using RESTful Web Services. In: : 2022 Seventh International Conference on Informatics and Computing (ICIC).

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Abstract

There are 69 urban villages in Tasikmalaya, and each one has its own information system including demographic and geografic information. The fundamental issue with this study is that the demographic and geography data for each urban village have not been integrated. The answer is to use Restful API to build a comprehensive urban village information system. The technology is used to integrate spatial and population data by connecting them. The performance of access to demographic and geographic data information in each urban village in Tasikmalaya City can be improved by an integrated system. For population data, JSON is utilized, and for geographic data, GeoJSON. Each REST API is put through tests using Jmeter to gauge how well it performs in terms of response time and the volume of data the urban village information system receives. The study's findings, specifically how well each urban village information system integrated geography and population data. According to Jmeter test findings, it typically takes 14.7 seconds for the REST API SIKEL to load population data. The loading of geographic data in GeoJSON format via the typical GIS REST API takes 38.4 seconds

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