Nashiruddin, Sufyan (2021) PENENTUAN JURUSAN CALON SISWA BARU MADRASAH ALIYAH KANJENG SEPUH SIDAYU MENGGUNAKAN METODE K-MEANS. undergraduate thesis, Universitas Muhammadiyah Gresik.

[img] Text
Pernyataan keaslian karya tulis skripsi.pdf

Download (1MB)
[img] Text
Lembar Pengesahan Skripsi.pdf

Download (141kB)
[img] Text
Halaman Pernyataan Persetujuan publikasi tugas akhir.pdf

Download (1MB)
[img] Text
Halaman Judul.pdf

Download (979kB)
[img] Text
BAB I.pdf

Download (193kB)
[img] Text
BAB II.pdf

Download (273kB)
[img] Text

Download (1MB)
[img] Text
BAB IV.pdf
Restricted to Repository staff only

Download (2MB)
[img] Text
BAB V.pdf

Download (119kB)
[img] Text
Daftar Pustaka.pdf

Download (173kB)
[img] Text

Download (162kB)


Madrasah Aliyah (MA) is one form of formal education at the school level in Indonesia, as a continuation of the junior high school (SMP) or Madrasah Tsanawiyah (MTS). MA has different specification majors in each field. Madrasah Aliyah Kanjeng Sepuh in Sidayu area in every new year, before the applicants enter the available majors they must follow the pre-test held by the school. Pre-tests performed are academic tests and vocational tests. The majors are in Madrasah Aliyah Kanjeng Sepuh are Natural Sciences 1, Natural Sciences 2, Social Sciences 1 and Social Sciences 2. Madrasah Aliyah Kanjeng Sepuh is a school institution that every year pass pre-test to prospective students to determine the prospective student majors. The number of variables used for assessment and standard of different values in every department then there is difficulty in determining the majors of prospective students. Application of decision support system of determining group of students majors Madrasah Aliyah Kanjeng Sepuh with K-Means method is a solution that can solve existing problems. This research applies K-Means method to classify prospective students based on pre-test value. Making decision support system is not as a decision maker, but as a tool and advice to give consideration as material selection for majors prospective students. The system test was performed three times with the number of 4 clusters with the initial Centroid randomly selected on each test with an objective value of 100000 in absolute value and a threshold value of 0.1. Furthermore, the results of each test will be evaluated system by method of Davies Bouldin Index (DBI). Results obtained from the test, the best grouping is in test 3 with DBI 0.2902.

Item Type: Thesis (undergraduate)
Uncontrolled Keywords: K-Means, Clustering, Davies Bouldin Index (DBI)
Subjects: Engineering > Informatics Engineering
Divisions: Faculty of Engineering > Informatics Engineering Study Program
Depositing User: Sufyan Nashiruddin
Date Deposited: 19 Apr 2021 01:50
Last Modified: 19 Apr 2021 01:50

Actions (login required)

View Item View Item