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CREATION
Title : Rainfall Analysis in Semarang City Using K-Means and Agglomerative Hierarchical Clustering Methods
Author :

PRABOWO WAHYU SUDARNO (1) Dr.techn. Ahmad Ashari, M.I.Kom. (2) Dr. Mardhani Riasetiawan, SE Ak, M.T. (3)
Date : 0 2022
Keyword : Clustering,K-Means,AHC,Machine learning,Rainfall Clustering,K-Means,AHC,Machine learning,Rainfall
Abstract : The state of rainfall can be identified by using several other climate data. This paper analyzes the characteristic cause factor of rainfall in Semarang City through several climate data, such as temperature and humidity, using AHC and K-Means. Clus- tering methods divide the range of rainfall into three clusters. Besides, we also evaluate the influence of different variables that affect rainfall clusters. This paper evaluates the performance of clustering algorithms using Silhouette score, Calinski-Harabasz score, and Davies Bouldin score. The performance validation correlation between rainfall (RR) and average humidity (RHavg) using the Silhouette score has the highest score of 0.42, the highest Calinski-Harabasz score is 451, and the lowest score using the Davies Bouldin score is 0.89. The performance validation correlation between rainfall (RR) and average temperature (Tavg) using the Silhouette score has the highest score of 0.46, the highest Calinski-Harabasz score is 2438, and the lowest value using the Davies Bouldin score is 0.86. All of these results are generated by the K-Means algorithm, showing the superior- ity of the K-Means algorithm over AHC in clustering rainfall. The conclusion explained that there is a possibility that high-intensity rain will occur in Semarang City when the humidity is above 80%, and the temperature is between 26 to 29.
Group of Knowledge : Ilmu Komputer
Original Language : English
Level : Internasional
Status :
Published
Document
No Title Document Type Action
1 RAINFALL ANALYSIS IN SEMARANG CITY USING K-MEANS AND AGGLOMERATIVE HIERARCHICAL CLUSTERING METHODS.pdf
Document Type : [PAK] Cek Similarity
[PAK] Cek Similarity View
2 SURAT PERNYATAAN-ICIC EL - Prabowo.pdf
Document Type : Dokumen Pendukung Karya Ilmiah (Hibah, Publikasi, Penelitian, Pengabdian)
Dokumen Pendukung Karya Ilmiah (Hibah, Publikasi, Penelitian, Pengabdian) View
3 Full Dokumen.pdf
Document Type : [PAK] Full Dokumen
[PAK] Full Dokumen View