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dc.contributor.advisorYanti, Maulida
dc.contributor.authorAgustin, Rizki Aulia
dc.date.accessioned2023-09-26T03:27:47Z
dc.date.available2023-09-26T03:27:47Z
dc.date.issued2023
dc.identifier.urihttps://repositori.usu.ac.id/handle/123456789/87830
dc.description.abstractWeather cluster analysis is an application of cluster analysis on weather data to group similar weather patterns. It is conducted to understand the existing weather patterns in historical or current data. This research was carried out at the Central Bureau of Statistics of North Sumatra Province, Jl. Asrama No.179, Dwi Kora, Kec. Medan Helvetia, Kota Medan, North Sumatra 20123. The research was conducted over a period of 1 month. The standard deviation ratio values in KMeans and Ward methods of Cluster Analysis yielded the same result, which is 0.137. Based on the standard deviation ratio values, it appears that both methods used are equally effective. Therefore, according to this research, both methods are highly recommended for use in weather’s data.en_US
dc.language.isoiden_US
dc.publisherUniversitas Sumatera Utaraen_US
dc.subjectclusteren_US
dc.subjectK-Meansen_US
dc.subjectmetode Warden_US
dc.subjectWeatheren_US
dc.subjectSDGsen_US
dc.titlePerbandingan Analisis Cluster K-Means dengan Metode Ward dalam Pengklasteran Cuaca di Stasiun Pengamatan BMKGen_US
dc.typeThesisen_US
dc.identifier.nimNIM202407008
dc.identifier.nidnNIDN0024109003
dc.identifier.kodeprodiKODEPRODI49401#Statistika
dc.description.pages83 Halamanen_US
dc.description.typeKertas Karya Diplomaen_US


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