Andyani, Rhavida Anniza (2019) Penentuan Batas Minimal Nilai Mata Uji pada Tes Tulis Masuk Perguruan Tinggi Negeri Tahun 2018 dengan Pendekatan Classification Tree. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Jalur tes tulis masuk perguruan tinggi selalu memiliki tingkat persaingan yang ketat. Penerimaan peserta berdasarkan peringkat skor total tes tulis yang sesuai dengan jumlah daya tampung, namun peserta yang diterima belum tentu memiliki nilai tertinggi pada mata uji yang sesuai dengan program studi pilihannya. Hal ini menarik untuk dianalisis mengenai mata uji apa saja yang diduga berpengaruh terhadap status penerimaan beserta batas nilai minimal. Penelitian menggunakan data peserta tes tulis masuk perguruan tinggi negeri tahun 2018, dengan pilihan program studi Statistik, Matematika, dan Aktuaria di Institut Teknologi Sepuluh Nopember (ITS), Institut Pertanian Bogor (IPB), dan Universitas Indonesia (UI). Penentuan batas dilakukan dengan pendekatan Classification Tree, dimana status penerimaan sebagai variabel respon, dan variabel prediktor berupa 10 nilai mata uji. Hasil Penelitian menunjukkan bahwa variabel terpenting dalam penentuan penerimaan peminat Statistika adalah Nilai Numerik untuk Statistika ITS dan UI, serta nilai Figural untuk Statistika IPB. Prodi Matematika menggunakan nilai Kimia sebagai pemilah utama dalam penerimaan peserta tes tulis masuk PTN 2018 di ITS dan IPB, sedangkan Matematika UI menggunakan nilai Numerik dalam penentuan awal status penerimaan mahasiswa. Prodi Aktuaria ITS menggunakan nilai Fisika, IPB dengan nilai Figural, dan UI meggunakan nilai Matematika Dasar sebagai penentuan penerimaan.
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The college entrance test path always has a level of intense competition. Acceptance of written test participants is based on the ranking of the total written test scores according to the amount of capacity. However, participants who are accepted do not necessarily have the highest score in the subject that is in accordance with their chosen study program. Therefore, it is interesting to do an analysis of the test subjects that influence the acceptance status along with the passing score. The study used the data of college entrance written test participants in 2018, with a choice of Statistics, Mathematics, and Actuarial study programs at the Insttut Teknologi Sepuluh Nopember (ITS), Institut Pertanian Bogor (IPB), and the University of Indonesia (UI). The analysis used the Classification Tree approach, with acceptance status as the response variable, and 10 test subjects as predictor variables. The result showed that the most important variable in determining the acceptance of interest in Department of Statistics was the Numeric for Department of Statistics in ITS and UI, and the Figural for Statistics IPB. Whereas in Department of Mathematics, it used the score from Chemistry as the main factor in the acceptance of college entrance written test participants in 2018 in Department of Mathematics ITS and IPB, while in UI uses Numeric score as the initial determination of student acceptance status. For Department of Actuarial ITS use Physic score, IPB use Figural score and UI with Basic Mathematic for acceptance status.
| Item Type: | Thesis (Undergraduate) |
|---|---|
| Additional Information: | RSSt 519.536 And p-1 2019 |
| Uncontrolled Keywords: | Batas Minimal, Classification Tree, Mata Uji, Tes Tulis |
| Subjects: | H Social Sciences > HA Statistics > HA29 Theory and method of social science statistics H Social Sciences > HD Industries. Land use. Labor > HD108 Classification (Theory. Method. Relation to other subjects ) Q Science > QA Mathematics > QA278.2 Regression Analysis. Logistic regression |
| Divisions: | Faculty of Science and Data Analytics (SCIENTICS) > Statistics > 49201-(S1) Undergraduate Thesis |
| Depositing User: | Rhavida Anniza Andyani |
| Date Deposited: | 13 May 2022 07:34 |
| Last Modified: | 13 May 2022 07:34 |
| URI: | http://repository.its.ac.id/id/eprint/61612 |
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