Open AccessApplication of fuzzy C-means algorithm for basic school clustering in Samarinda city based on minimum educational service standard indicators
Author(s) -
Karyo Budi Utomo,
P. Arbain,
Suminto
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/885/1/012002
Subject(s) - curriculum , service (business) , cluster analysis , fuzzy logic , computer science , government (linguistics) , service quality , quality (philosophy) , mathematics education , business , mathematics , marketing , pedagogy , psychology , artificial intelligence , linguistics , philosophy , epistemology
Quality of service in schools determines the level of success of education service. The minimum service standard or better known as (SPM) in education is one of the references for evaluating the performance of education services. There are six categories in SPM of education, namely facilities and infrastructure, educators and education staff, curriculum, education quality assurance, education assessment, and school management. Each category has an achievement indicator to be used as a reference to assess the achievement that has been done by each school. School grouping based on the Minimum Service Standards (SPM) of Education is expected to be a reference for the government in making policies and references for Education organizers to know their position and then take strategic steps to enter the best groups. One of these groupings is achieved using the Fuzzy C-Means clustering method which is a non-hierarchical Clustering algorithm. The results of the study are expected to obtain a model that stakeholders can use in conducting elementary school groupings based on minimum service standard (SPM) in Education which are divided into 3 (three) categories, namely: Less, Medium, and Good.