NURULAISYAH, NURULAISYAH and Sukanda, Dian Cahyawati and Dwipurwani, Oki (2025) ANALISIS DISKRIMINAN UNTUK MENENTUKAN FAKTOR PEMBEDA PILIHAN MAHASISWA TERHADAP PROGRAM STUDI MATEMATIKA FMIPA, NON-MATEMATIKA FMIPA, DAN PENDIDIKAN MATEMATIKA FKIP. Undergraduate thesis, Sriwijaya University.
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Abstract
This research aims to form a discriminatory function and determine the differentiating factors of student choice for the FMIPA Mathematics Study Program, FMIPA Non-Mathematics, and FKIP Mathematics Education. The research method used is discrimination analysis. Primary data sources were obtained through a survey of active FMIPA students and the FKIP Mathematics Education Study Program for the 2024/2025 academic year. The differentiating factors of student choice analyzed were motivation for choosing a major, motivation to learn, interest in majors, talents, love to count, influence on family environment, peers, job prospects, department branding, alumni, teachers, tutoring institutions, social media, campus environment, and education costs. The results of the study show that the best linear discrimination function to distinguish student selection against the group of Mathematics Study Program of FMIPA and Non-Mathematics of FMIPA is {\ D}^\ast(X)=0,982X_5-0,617X_{10}-0,474X_{12}. Significant factors in the function of {\ D}^\ast(X) is the love of counting, the influence of alumni, and the influence of tutoring institutions. The value of the grouping determinant, D_{cutting}. = 0.502, if the value is{\ D}^\ast(X)\geq 0.502, the object of observation is grouped into the Mathematics Study Program of FMIPA. The degree of accuracy of the discrimination function, {\ D}^\ast(X) using a Hit Ratio of 72% means that the good function distinguishes the selection of the Study Program. The best quadratic discrimination function to differentiate student selection for the Mathematics Study Program of FMIPA and Mathematics Education FKIP is {D_{Math}\left(X\right)}^{\ \ast}=0,58\ -\ \frac{1}{2}\left(\mathbit{X}_{ij}\ -\ {\bar{\mathbit{X}}}_{\ Math}\right)^{\ T}\mathbf{S}_{\ Math}^{\ -1}\left(\mathbit{X}_{ij}\ -\ {\bar{\mathbit{X}}}_{\ Math}\right) and {D_{Math\ Education}\left(X\right)}^\ast=0,416\ -\ \frac{1}{2}\left(\mathbf{X}_{ij}\ -\ {\bar{\mathbf{X}}}_{Math\ Education}\right)^{\ T}\mathbf{S}_{Math\ Education}^{-1}\left(\mathbit{X}_{ij}-{\bar{\mathbf{X}}}_{Math\ Education}\right). Significant factors in the functio {D_{Math}(X)}^\astand {D_{Math\ Education}(X)}^\ast. (X) is the joy of counting, job prospects, and the influence of alumni. The accuracy level of the quadratic discrimination function using the Hit Ratio of 66% means that this function is well able to distinguish the selection of the Mathematics Study Program of FMIPA and Mathematics Education FKIP.
Item Type: | Thesis (Undergraduate) |
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Uncontrolled Keywords: | Analisis Diskriminan, Pembeda Pilihan Program Studi |
Subjects: | H Social Sciences > HA Statistics > HA154-155 Universal statistics |
Divisions: | 08-Faculty of Mathematics and Natural Science > 44201-Mathematics (S1) |
Depositing User: | Users 44741 not found. |
Date Deposited: | 20 Mar 2025 01:59 |
Last Modified: | 20 Mar 2025 01:59 |
URI: | http://repository.unsri.ac.id/id/eprint/169381 |
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