KNN AND WEBGIS CLASSIFICATION TO RECOMMEND MOUNTAIN LOCATION ACCORDING TO HIKER ABILITIES

Al Fathony, Shagi Hisyam and Rahajoe, Ani Dijah and Zainal, Rifki Fahrial and Hamidah, Mas Nurul and Arizal, Arif (2022) KNN AND WEBGIS CLASSIFICATION TO RECOMMEND MOUNTAIN LOCATION ACCORDING TO HIKER ABILITIES. JEECS (Journal of Electrical Engineering and Computer Sciences), 7 (1). pp. 1239-1246. ISSN 2579-5392 P.ISSN: 2528-0260

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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

Item Type:	Article
Depositing User:	Perpus Ubhara Surabaya
Date Deposited:	06 Sep 2022 02:58
Last Modified:	06 Sep 2022 02:58
URI:	http://eprints.ubhara.ac.id/id/eprint/1361

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