Research Article
On Designing Application of Finding Nearby Islamic Boarding Schools in West Java using Haversine Formula and Euclidean Distance Algorithms
@INPROCEEDINGS{10.4108/eai.11-7-2019.2297517, author={Diena Rauda Ramdania and Rian Andrian and Mohamad Irfan and Rudi Zaenal Abidin}, title={On Designing Application of Finding Nearby Islamic Boarding Schools in West Java using Haversine Formula and Euclidean Distance Algorithms}, proceedings={Proceedings of the 1st International Conference on Islam, Science and Technology, ICONISTECH 2019, 11-12 July 2019, Bandung, Indonesia.}, publisher={EAI}, proceedings_a={ICONISTECH}, year={2021}, month={1}, keywords={havesine formula euclidean distance algorithm islamic boarding school location geographic information system}, doi={10.4108/eai.11-7-2019.2297517} }- Diena Rauda Ramdania
Rian Andrian
Mohamad Irfan
Rudi Zaenal Abidin
Year: 2021
On Designing Application of Finding Nearby Islamic Boarding Schools in West Java using Haversine Formula and Euclidean Distance Algorithms
ICONISTECH
EAI
DOI: 10.4108/eai.11-7-2019.2297517
Abstract
Islamic Boarding School is one of the alternative schools that are of interest to Indonesians. Finding the most appropriate boarding school is one of the initial strategies in determining schools. There are 25,938 pesantren in Indonesia, 8,264 of them are in West Java. The search for Islamic boarding schools is important considering the large number of them. This paper aims to tell the design of the search application for the nearest boarding school using Haversine Formula and Euclidean Distance algorithm. Applications that will be made compare the two methods so that they get the best results by using Longitude and Latitude calculations. The results showed that the application of the Haversine formula algorithm and the Euclidean distance on the nearest location search application was successfully built and could be used to find Islamic boarding schools in West Java. Haversine Formula and Euclidean Distance algorithms are able to provide distance accuracy to the location. But the Euclidean distance algorithm is more accurate than the haversine formula with a difference of 0.07 KM.
