Selection of Specialization Class Using Support Vector Machine (SVM) Method in Sekolah Menengah Atas Negeri 1 Ambon

Autor:	Venn Y. I. Ilwaru, Yopi Andry Lesnussa, Stevanny Tamaela
Rok vydání:	2021
Předmět:	Computer science business.industry General Medicine Plan (drawing) Machine learning computer.software_genre Class (biology) Support vector machine Character (mathematics) Software Specialization (functional) Artificial intelligence business Curriculum computer Selection (genetic algorithm)
Zdroj:	CAUCHY: Jurnal Matematika Murni dan Aplikasi. 6:162-168
ISSN:	2477-3344 2086-0382
DOI:	10.18860/ca.v6i4.8882
Popis:	The curriculum is a plan to form the abilities and character of children based on a standard. One of its form is the division of specialization classes at the high school level. The 2013 curriculum emphasizes that all students in Indonesia can practice their abilities based on their interests and talents, so students no longer choose majors but choose abilities (interests) in them specialize. This research uses the Support Vector Machine (SVM) method in specialization Decision Making System (DMS) at SMA Negeri 1 Ambon. By using the motivating acceptance factors and student selection as input data, this SVM method that processed with MATLAB Software produces a Classification of Interest Class with an accuracy rate more than 95%.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::8ee5473c685de944ae19312988764602 https://doi.org/10.18860/ca.v6i4.8882 Zobrazit plný text záznamu