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

Autor:	Shagi Hisyam Al Fathony, Ani Dijah Rahajoe, Rifki Fahrial Zainal
Rok vydání:	2023
Zdroj:	JEECS (Journal of Electrical Engineering and Computer Sciences). 7:1239-1246
ISSN:	2579-5392 2528-0260
DOI:	10.54732/jeecs.v7i1.222
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::a28ddb80bd3e872a016afcb9578dd4ce https://doi.org/10.54732/jeecs.v7i1.222 Zobrazit plný text záznamu