APPLICATION OF THE K-MEANS ALGORITHM IN IDENTIFYING TYPES OF SKIN DISEASE1
Abstract
In the process of grouping the types of skin diseases, doctors and hospital staff encountered various obstacles, including difficulties in grouping data on types of skin diseases. This analysis will assist the hospital in analyzing the data grouping of skin diseases. Data Mining Analysis using the K-Means algorithm for grouping types of skin diseases is an analysis used by doctors and hospital staff to determine grouping of patients based on the type of skin disease. By making this analysis, it is hoped that it can help hospital staff in classifying types of skin diseases
Downloads
References
A. V. Sakhare and P. S. Kasbe, “A review on road accident data analysis using data mining techniques,” Proc. 2017 Int. Conf. Innov. Information, Embed. Commun. Syst. ICIIECS 2017, vol. 2018-January, pp. 1–5, 2018, doi: 10.1109/ICIIECS.2017.8275920.
et al., “Penerapan metode k-means clustering data COVID-19 di Provinsi Jakarta,” Teknologi, vol. 11, no. 2, pp. 59–68, 2021, doi: 10.26594/teknologi.v11i2.2323.
I. K. G. D. Putra, N. P. A. O. Wiastini, K. S. Wibawa, and I. M. S. Putra, “Identification of Skin Disease Using K-Means Clustering, Discrete Wavelet Transform, Color Moments and Support Vector Machine,” Int. J. Mach. Learn. Comput., vol. 10, no. 5, pp. 700–706, 2020, doi: 10.18178/ijmlc.2020.10.5.993.
B. Parlambang and Fauziah, “Implementasi Algoritma K-Means Dalam Proses Penilaian Kuesioner Kepada Dosen Guna Mendukung Kepuasan Mahasiswa Terhadap Dosen,” J. Ilm. Teknol. dan Rekayasa, vol. 25, no. 2, pp. 161–173, 2020, doi: 10.35760/tr.2020.v25i2.2719.
F. G. Febrinanto, C. Dewi, and A. Triwiratno, “The Implementation of K-Means Algorithm as Image Segmenting Method in Identifying the Citrus Leaves Disease,” IOP Conf. Ser. Earth Environ. Sci., vol. 243, no. 1, pp. 0–11, 2019, doi: 10.1088/1755-1315/243/1/012024.
P. Lq et al., “$Ssolfdwlrq Uhvhdufk Ri &Oxvwhulqj Dojrulwkp Edvhg Rq . Phdqv Lq Gdwd Plqlqj,” pp. 21–24.
Purwa Hasan Putra, M. S. (2020). PERANCANGAN APLIKASI SISTEM INFORMASI
BIMBINGAN KONSELING PADA SEKOLAH MENENGAH KEJURUAN. Jurnal Teknovasi:
Jurnal Teknik dan Inovasi, 1-7
P. M. Hasugian, H. D. Hutahaean, B. Sinaga, Sriadhi, and S. Silaban, “Villages Status Classification Analysis Involving K-Means Algorithm to Support Kementerian Desa Pembangunan Daerah Tertinggal dan Transmigrasi Work Programs,” in Journal of Physics: Conference Series, 2020, vol. 1641, no. 1. doi: 10.1088/1742-6596/1641/1/012058.
P. M. HASUGIAN, H. D. HUTAHAEAN, B. SINAGA, SRIADHI, and S. SILABAN, “Big data technology for village status classification based on village index building involving k-means algorithm in programs to support the work of the ministry of the village,” J Theor Appl Inf Technol, vol. 99, no. 19, 2021.
P. M. Hasugian, “Perancangan Sistem Pendukung Keputusan Dalam Menentukan Dosen Berprestasi Dengan Metode Simple Additive Weighting,” Journal Of Informatic Pelita Nusantara, vol. 1, no. 1, 2019.
P. M. Hasugian, B. Sinaga, J. Manurung, and S. A. al Hashim, “Best Cluster Optimization with Combination of K-Means Algorithm And Elbow Method Towards Rice Production Status Determination,” International Journal of Artificial Intelligence Research, vol. 5, no. 1, 2021, doi: 10.29099/ijair.v6i1.232.
R. Ndruru and P. M. Hasugian, “Determination of Data Mining Application Design Patterns Booking Raw Food In Restaurant Fountain With Apriori Algorithm,” Journal Of Computer Networks, Architecture and High Performance Computing, vol. 2, no. 2, 2020, doi: 10.47709/cnapc.v2i2.415.
