2019
DOI: 10.1088/1742-6596/1413/1/012032
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Nearest Excellent Potential Location Using Distance Algorithm

Abstract: This study aims to find the proper distance calculation method that will be applied to the Sidoarjo on Hands (SoH) application. This study was conducted by comparing three distance algorithms namely Euclidean Distance, Manhattan Distance, and Haversine Formula. The results showed that the Euclidean Distance method was the proper method because this method had has the smallest Mean Absolute Deviation (MAD) with 1.71 in amount.

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Cited by 4 publications
(2 citation statements)
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“…The Euclidean Distance method is a calculation between two points in the Euclidean space. Euclidean space was introduced by Euclid, a mathematician from Greece around 300 B.C which focus on a relationship study between angles and distances [17]. Figure 3 According to the distance coordinates in FIGURE 3, the first location has coordinates (1,2) and the second location has coordinates (5,5).…”
Section: A Blood Cool Box Designmentioning
confidence: 99%
“…The Euclidean Distance method is a calculation between two points in the Euclidean space. Euclidean space was introduced by Euclid, a mathematician from Greece around 300 B.C which focus on a relationship study between angles and distances [17]. Figure 3 According to the distance coordinates in FIGURE 3, the first location has coordinates (1,2) and the second location has coordinates (5,5).…”
Section: A Blood Cool Box Designmentioning
confidence: 99%
“…Distance calculation methods are carefully considered in this study. Purbaningtyas and Arizal (2019) compared three distance measures, namely, the Manhattan distance, Euclidean distance, and Haversine distance. Their results showed that these distances are different.…”
Section: Introductionmentioning
confidence: 99%