Lathifah, Roudhothul (2019) Penentuan Posisi Program Studi Rumpun Ilmu Formal (Matematika, Statistika, dan Aktuaria) Berdasarkan Nilai Ujian Masuk Perguruan Tinggi Negeri di Indoonesia. Other thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Tujuan ke-4 dalam program internasional Pembangunan Berkelanjutan (Sustainable Development Goals) atau SDGs adalah memastikan mutu pendidikan yang inklusif dan merata merupakan. Salah satu jalur penerimaan Mahasiswa oleh PTN adalah SBMPTN (Seleksi Bersama Masuk Perguruan Tinggi). Jumlah peserta ujian tulis tersebut mengalami peningkatan dari tahun-tahun sebelumnya. Peningkatan tersebut diimbangi dengan daya tampung dan jumlah PTN yang bertambah. Peminat program studi sarjana Matematika, Statistika, dan Aktuaria di Indonesia semakin bertambah. Akibatnnya terjadi persaingan masing-masing program studi PTN di seluruh Indonesia untuk mendapatkan mahasiswa dengan nilai ujian terbaik. Oleh karena itu untuk mengetahui posisi prodi Matematika, Statistika, dan Aktuaria di Indonesia berdasarkan nilai ujian tulis masuk, maka dilakukan analisis penentuan posisi menggunakan analisis biplot. Data yang digunakan adalah data sekunder yang didapat dari panitia pengkaji sistem tes tulis 2018. Variabel penelitian yang digunakan adalah nilai ujian tulis per mata uji, keketatan, dan status akreditasi.. Prodi Matematika dan Statistika menerima peserta dengan nilai tertinggi pada mata uji numerikal dan terendah pada mata uji Bahasa Inggris sedangkan Prodi Aktuaria menerima peserta dengan nilai tertinggi pada mata uji Kimia dan terendah pada mata uji Bahasa Indonesia. Hasil pengujian korelasi adalah bahwa mayoritas nilai peserta ujian tulis di 10 mata uji berkorelasi dengan presentase keketatan. Pada Prodi Matematika, Statistika, dan Aktuaria terbentuk 3 kelompok PTN yaitu PTN dengan nilai ujian tinggi, sedang, dan rendah.
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Ensuring inclusive and equitable quality of education is the 4th objective in the international Sustainable Development Goals or SDGs program. One of the student admission paths by PTNs is the SBMPTN (Joint Selection in Higher Education). The number of written exam participants has increased from previous years. The increase was offset by capacity, the number of PTNs that increased. Interested in increasing undergraduate programs in Mathematics, Statistics, and Actuarians in Indonesia. As a result, there is competition for each PTN study program throughout Indonesia to get students with the best exam scores. Therefore to find out the position of Mathematics, Statistics and Actuarial study programs in Indonesia based on the written test scores, a mapping analysis was performed using biplot analysis. The data used are secondary data obtained from the review committee of the 2018 written test system. The research variables used were the value of the written test per eye test, tightness, and accreditation status. The characteristics of these variables will be described descriptively and the value of the college entrance examination will be mapped using Biplot analysis. Mathematics and Statistics Study Program accepts participants with the highest scores in the eyes of the numerical and lowest test in the English test eye while the Actuarial Study Program receives participants with the highest score in the eyes of the Chemistry test and the lowest in the Indonesian Language test eye. The result of the correlation test is that the majority of the scores of the written examinees in the 10 test eyes correlate with the percentage of tightness. In Mathematics, Statistics, and Actuarial Study Programs 3 groups of PTNs were formed, namely PTNs with high, medium and low test scores.
| Item Type: | Thesis (Other) |
|---|---|
| Additional Information: | RSSt 519.535 Lat p-1 2019 |
| Uncontrolled Keywords: | Biplot Analysis, Interest of Obedience, and Value of Writing Examination for Higher Education |
| Subjects: | H Social Sciences > HA Statistics H Social Sciences > HA Statistics > HA29 Theory and method of social science statistics Q Science > QA Mathematics > QA278 Cluster Analysis. Multivariate analysis. Correspondence analysis (Statistics) |
| Divisions: | Faculty of Mathematics and Science > Statistics > 49201-(S1) Undergraduate Thesis |
| Depositing User: | Roudhothul Lathifah |
| Date Deposited: | 29 Dec 2022 08:27 |
| Last Modified: | 29 Dec 2022 08:27 |
| URI: | http://repository.its.ac.id/id/eprint/63413 |
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