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All Journal JEECS (Journal of Electrical Engineering and Computer Sciences)
Shagi Hisyam Al Fathony
Universitas Bhayangkara Surabaya
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering

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KNN and Webgis Classification to Recommend Mountain Location According to Hiker Abilities Shagi Hisyam Al Fathony; Ani Dijah Rahajoe; Rifki Fahrial Zainal
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 7 No. 1 (2022): JEECS (Journal of Electrical Engineering and Computer Sciences)
Publisher : Fakultas Teknik Universitas Bhayangkara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (213.698 KB) | DOI: 10.54732/jeecs.v7i1.222

Abstract

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.
Co-Authors Ani Dijah Rahajoe Rifki Fahrial Zainal