Penerapan Algoritma K-medoid Untuk Clustering Data Mining Berdasarkan Indeks Pembangunan Manusia Di Indonesia
Year: 2024
Type: article
Abstract: Data mining is a technology that is a mixture of data analysis methods with algorithms for processing large data. Indonesia is a country consisting of various islands, and on each island, there are various provinces. Each province has a population that differs from one province to another. Every resident must of course have a mandatory 9 years of education. Over time, the quality of education in Indonesia has fluctuated in each province. Based on these problems, in this writing, an examination of the quality of education in Indonesia was carried out based on the Human Development Index (HDI). This test was carried out based on data originating from the Central Statistics Agency. The data will be tested using the clustering method with the K-Medoid algorithm
Source: Journal Intech and Education
Authors: Noris, Shandi, Kapitan, Silvester Jefri
Institution: Universitas Pamulang
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: diamond
OpenAlex ID: W7220149784