PENENTUAN JURUSAN SEKOLAH MENENGAH ATAS DENGAN ALGORITMA FUZZY C MEANS
Jurnal Teknologi Informasi, ISSN 1414-9999
PENENTUAN JURUSAN SEKOLAH MENENGAH ATAS DENGAN
ALGORITMA FUZZY C-MEANS
Bahar, Vincent Suhartono, Romi Satria Wahono
Pascasarjana Teknik Informatika Universitas Dian Nuswantoro
ABSTRACT
Appropriate curriculum applicable across Indonesia, 10th grade high school student who went
up to class 11 will experience a selection of majors (majors). Majors are available at the high
school fields of interest include the Natural Sciences, Social Sciences, and Language Sciences.
Majors will be tailored to students' abilities in areas of interest that exist, the aim for later in life,
lessons will be given to students to be more focused because it has been in accordance with
capability in the field of interest. One consideration for selecting students are majoring in
determining student achievement in semesters one and two (grade 10) in the form of a score
value. Less accurate election process majors with manual systems at high schools or cause the
need for a use of computational methods to classify students majoring in the election process.
Fuzzy C-Means algorithm is an algorithm that is easy and often used in data clustering technique
kerana efsien make an estimate and does not require many parameters. Several studies have
concluded that the Fuzzy C-Means algorithm can be used to classify data based on certain
attributes. This research will be used Fuzzy C-Means algorithm to cluster high school student
data based on the value of core subjects for the majors. This study also examined the accuracy of
Fuzzy C-Means algorithm in determining the majors in high school. Application of Fuzzy CMeans algorithm in determining the majors in high school students in 81 samples tested in this
study show that the Fuzzy C-Means algorithm has a higher degree of accuracy (average
78.39%), compared with the method manually determining the direction has been done (only
have an average accuracy level of 56.17%).
Keywords: Clustering, Majors Students, Completeness Minimum Criteria, Fuzzy C-Means
Homepage : http://pps.dinus.ac.id email redaksi: stefanus@pps.dinus.ac.id
PENENTUAN JURUSAN SEKOLAH MENENGAH ATAS DENGAN
ALGORITMA FUZZY C-MEANS
Bahar, Vincent Suhartono, Romi Satria Wahono
Pascasarjana Teknik Informatika Universitas Dian Nuswantoro
ABSTRACT
Appropriate curriculum applicable across Indonesia, 10th grade high school student who went
up to class 11 will experience a selection of majors (majors). Majors are available at the high
school fields of interest include the Natural Sciences, Social Sciences, and Language Sciences.
Majors will be tailored to students' abilities in areas of interest that exist, the aim for later in life,
lessons will be given to students to be more focused because it has been in accordance with
capability in the field of interest. One consideration for selecting students are majoring in
determining student achievement in semesters one and two (grade 10) in the form of a score
value. Less accurate election process majors with manual systems at high schools or cause the
need for a use of computational methods to classify students majoring in the election process.
Fuzzy C-Means algorithm is an algorithm that is easy and often used in data clustering technique
kerana efsien make an estimate and does not require many parameters. Several studies have
concluded that the Fuzzy C-Means algorithm can be used to classify data based on certain
attributes. This research will be used Fuzzy C-Means algorithm to cluster high school student
data based on the value of core subjects for the majors. This study also examined the accuracy of
Fuzzy C-Means algorithm in determining the majors in high school. Application of Fuzzy CMeans algorithm in determining the majors in high school students in 81 samples tested in this
study show that the Fuzzy C-Means algorithm has a higher degree of accuracy (average
78.39%), compared with the method manually determining the direction has been done (only
have an average accuracy level of 56.17%).
Keywords: Clustering, Majors Students, Completeness Minimum Criteria, Fuzzy C-Means
Homepage : http://pps.dinus.ac.id email redaksi: stefanus@pps.dinus.ac.id