KNN and Webgis Classification to Recommend Mountain Location According to Hiker Abilities

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Shagi Hisyam Al Fathony
Ani Dijah Rahajoe
Rifki Fahrial Zainal

Abstract

The increasing number of climbers has an impact on the need for a system that can recommend mountains for climbing
according to the ability of climbers. This study aims to create a system that can help climbers determine the mountain
according to their abilities. Researchers use one of the methods in data mining, namely classification, using the K =
Nearest Neighbor (K-NN) algorithm.
This research has produced a web-based system where this system can classify and provide recommendations
according to the ability of climbers. This system is equipped with a hiking trail map which is expected to help make it
easier for climbers to choose the mountain they will climb.

Article Details

How to Cite
Fathony, S. H. A. ., Rahajoe, A. D., & Zainal, R. F. (2022). KNN and Webgis Classification to Recommend Mountain Location According to Hiker Abilities. JEECS (Journal of Electrical Engineering and Computer Sciences), 7(1), 1239–1246. https://doi.org/10.54732/jeecs.v7i1.222
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