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All Journal Asimetris: Pendidikan Matematika dan Sains BRIDGE: The Multidisciplinary Research Portal
Krisnamurti Sigamura, Radha
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Chemistry Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Engineering Mathematics Physics

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Analisis Regresi Logistik Ordinal Faktor-Faktor yang Mempengaruhi Tingkat Keberhasilan Studi Mahasiswa Universitas Musi Rawas Dhian Nurul Istiqomah; Krisnamurti Sigamura, Radha
Asimetris: Jurnal Pendidikan Matematika dan Sains Vol 6 No 1 (2025): Asimetris: Jurnal Pendidikan Matematika dan Sains
Publisher : Pendidikan Matematika Universitas Almuslim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51179/asimetris.v6i1.2760

Abstract

Penelitian ini menganalisa faktor-faktor yang mempengaruhi keberhasilan studi mahasiswa Universitas Musi Rawas melalui pendekatan Analisis Regresi Logistik Ordinal dengan Indeks Prestasi Komulatif (IPK) sebagai variabel terikat. Variabel bebas yang dianalisis yaitu program studi, jenis kelamin, dan masa studi. Sampel penelitian berjumlah 202 orang mahasiswa yang menyelsaikan studinya pada T.A. 2022-2023. Hasil analisis secara statistik menunjukkan bahwa ketiga variabel bebas berpengaruh secara signifikan terhadap nilai IPK. Nilai Odd Ratio menunjukkan peluang mendapatkan IPK ≥3,00 lebih besar berjenis kelamin laki-laki sebesar 3,20 kali dibandingkan perempuan, berasal dari prodi Ilmu Administrasi Negara 11,40 kali lebih besar dibandingkan dengan program studi lainnya, serta masa studi yang semakin lama juga akan meningkatkan peluang mendapatkan IPK ≥3,00  sebesar 2,59 kali
Analisis Regresi Logistik Ordinal Faktor-Faktor yang Mempengaruhi Tingkat Keberhasilan Studi Mahasiswa Universitas Musi Rawas Dhian Nurul Istiqomah; Krisnamurti Sigamura, Radha
Asimetris: Jurnal Pendidikan Matematika dan Sains Vol. 6 No. 1 (2025): Asimetris: Jurnal Pendidikan Matematika dan Sains
Publisher : Pendidikan Matematika Universitas Almuslim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51179/asimetris.v6i1.2760

Abstract

Penelitian ini menganalisa faktor-faktor yang mempengaruhi keberhasilan studi mahasiswa Universitas Musi Rawas melalui pendekatan Analisis Regresi Logistik Ordinal dengan Indeks Prestasi Komulatif (IPK) sebagai variabel terikat. Variabel bebas yang dianalisis yaitu program studi, jenis kelamin, dan masa studi. Sampel penelitian berjumlah 202 orang mahasiswa yang menyelsaikan studinya pada T.A. 2022-2023. Hasil analisis secara statistik menunjukkan bahwa ketiga variabel bebas berpengaruh secara signifikan terhadap nilai IPK. Nilai Odd Ratio menunjukkan peluang mendapatkan IPK ≥3,00 lebih besar berjenis kelamin laki-laki sebesar 3,20 kali dibandingkan perempuan, berasal dari prodi Ilmu Administrasi Negara 11,40 kali lebih besar dibandingkan dengan program studi lainnya, serta masa studi yang semakin lama juga akan meningkatkan peluang mendapatkan IPK ≥3,00  sebesar 2,59 kali
Statistical Literacy and Grouped Data Analysis Using SPSS in Undergraduate Education Krisnamurti Sigamura, Radha; Nurul Istiqomah, Dhian
BRIDGE : The Multidisciplinary Research Portal Vol. 4 No. 1 (2026): JANUARY (I)
Publisher : LPPM Sekolah Tinggi Teknologi Nusantara Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This study investigates undergraduate students’ understanding of grouped data analysis using SPSS within an interdisciplinary framework integrating statistics education, computer science, and educational psychology. Employing a descriptive qualitative design, the study involved 18 computer science students who had completed coursework in grouped data computation. Data were collected through semi-structured interviews, classroom observations, and document analysis, and analyzed using iterative coding and thematic categorization. The findings reveal a gradient of understanding: 55.56% of students demonstrated high-level conceptual–procedural integration, 33.33% exhibited moderate understanding characterized by procedural competence with partial conceptual articulation, and 11.11% showed limited conceptual and interpretative ability. The results indicate that operational proficiency in statistical software does not automatically ensure statistical literacy. Students with higher understanding were able to justify class interval construction, interpret frequency distributions, and contextualize SPSS outputs within research applications. Conversely, lower-level understanding was associated with procedural dependency and limited interpretative reasoning. These findings reinforce contemporary perspectives emphasizing that technology-enhanced learning must integrate conceptual explanation, computational execution, and reflective interpretation. The study contributes to the discourse on interdisciplinary statistical education by highlighting the importance of aligning computational fluency with conceptual reasoning in higher education contexts. Strengthening pedagogical scaffolding in software-supported statistics instruction may enhance students’ readiness for quantitative research and improve the quality of undergraduate academic work.
Co-Authors Dhian Nurul Istiqomah Nurul Istiqomah, Dhian