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

Shagi Hisyam Al Fathony (Universitas Bhayangkara Surabaya)
Ani Dijah Rahajoe (Universitas Bhayangkara Surabaya)
Rifki Fahrial Zainal (Universitas Bhayangkara Surabaya)

JEECS (Journal of Electrical Engineering and Computer Sciences)
Vol. 7 No. 1 (2022): JEECS (Journal of Electrical Engineering and Computer Sciences)

The increasing number of climbers has an impact on the need for a system that can recommend mountains for climbingaccording to the ability of climbers. This study aims to create a system that can help climbers determine the mountainaccording 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 recommendationsaccording to the ability of climbers. This system is equipped with a hiking trail map which is expected to help make iteasier for climbers to choose the mountain they will climb.