Ordinal Logistic Regression Analysis of Factors Affecting Mathematics Literacy Achievement of Junior and Senior High School in West Manggarai Regency

Patrisius Afrisno Udil; Dadan Dasari; Elah Nurlaelah

doi:10.20956/j.v20i2.32118

Authors

Patrisius Afrisno Udil Pendidikan Matematika, FPMIPA, Universitas Pendidikan Indonesai
Dadan Dasari Pendidikan Matematika, FPMIPA, Universitas Pendidikan Indonesai
Elah Nurlaelah Pendidikan Matematika, FPMIPA, Universitas Pendidikan Indonesai

DOI:

https://doi.org/10.20956/j.v20i2.32118

Keywords:

ordinal logistic regression, mathematics literacy, factors, west manggarai

Abstract

This study aims to analyze the significant factors that affect mathematics literacy achievement, especially in junior and senior high schools in West Manggarai Regency. It begins by presenting descriptive information regarding mathematics literacy achievement at junior and senior high schools in West Manggarai Regency, especially in relation to other factors measured in the national assessment. This study is a quantitative study. The data analyzed were secondary data obtained from the Education, Youth and Sports Office of West Manggarai Regency in the form of Education Report. The analysis was carried out descriptively first, then analyzed with ordinal logistic regression. The results showed that the achievement of mathematics literacy at junior and senior high schools in West Manggarai Regency is still not optimal, both in general and in terms of each factor. The results of this study also show that the factors that significantly influence the achievement of mathematical literacy at junior and senior high schools in West Manggarai Regency include the level of the education unit, increased of learning quality score, increased of instructional leadership score, and increased of the algebraic content score.

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References

Adejumo, A. O., & Adetunji, A. A. 2013. Application of Ordinal Logistic Regression in the Study of Students’ Performance. Mathematical Theory and Modeling, 3(11), 10–19. http://www.iiste.org/Journals/index.php/MTM/article/view/7679

Anwar, N. T. 2018. Peran Kemampuan Literasi Matematis pada Pembelajaran Matematika Abad-21. Prosiding Seminar Nasional Matematika, 1, 364–370. https://journal.unnes.ac.id/sju/index.php/prisma/

Arofa, A. N., & Ismail, 2022. Kemampuan Numerasi Siswa Ma Dalam Menyelesaikan Soal Setara Asesmen Kompetensi Minimum Pada Konten Aljabar. Mathedunesa: Jurnal Ilmiah Pendidikan Matematika, 11(3), 779–793.

Ate, D., & Lede, Y. K., 2022. Analisis Kemampuan Siswa Kelas VIII dalam Menyelesaikan Soal Literasi Numerasi. Jurnal Cendekia: Jurnal Pendidikan Matematika, 6(1), 472–483. https://doi.org/10.31004/cendekia.v6i1.1041

Cahyani, L. N., Shodiq, L. J., & Agustin, D. R., 2022. Kemampuan Literasi Matematika Siswa dalam Memecahkan Soal TIMMS Konten Aljabar Ditinjau dari Pengetahuan Metakognitif. Journal Focus Action of Research Mathematic (Factor M), 5(1), 31–51. https://doi.org/10.30762/f_m.v5i1.646

Dewi, A. L. & Budyanra, 2021. Determinants of Accident Status on Student Commuters of Jabodetabek in 2019. Jurnal Matematika, Statistika & Komputasi, 18 (1), 102-120.

Dinas Pendidikan dan Kebudayaan Kabupaten Manggarai Barat, 2023. Rapor Pendidikan Kabupaten Manggarai Barat 2023.

Fadillah, A., & Ni’mah, 2019. Analisis Literasi Matematika Siswa Dalam Memecahkan Soal Matematika PISA Konten Change and Relationship. Jurnal Teori Dan Aplikasi Matematika, 3(2), 127–131.

Febrilia, B. R. A., Yani, M. H., & Anwar, S., 2020. Analisis Regresi Logistik Ordinal Faktor-Faktor Yang Mempengaruhi Status Beasiswa Mahasiswa di Universitas Mataram. BAREKENG: Jurnal Ilmu Matematika Dan Terapan, 14(2), 227–232. https://doi.org/10.30598/barekengvol14iss2pp233-238

Fointuna, D. W., Kaluge, A. H., & Fernandez, A. J., 2019. Kategorisasi Kemampuan Literasi Matematika Siswa SMP Negeri Se-Kota Kupang Berbantuan Fuzzy Inference System Metode Mamdani. Asimtot : Jurnal Kependidikan Matematika, 1(1), 1–12. https://doi.org/10.30822/asimtot.v1i1.92

Güre, Ö. B., Kayri, M., & Erdogan, F., 2020. Analysis of Factors Effecting PISA 2015 Mathematics Literacy via Educational Data Mining. Education and Science, 45(202), 393–415. https://doi.org/10.15390/EB.2020.8477

Imaslihkah, S., Ratna, M., & Ratnasari, V., 2013. Analisis Regresi Logistik Ordinal terhadap Faktor-faktor yang Mempengaruhi Predikat Kelulusan Mahasiswa S1 di ITS Surabaya. Jurnal Sains Dan Seni Pomits, 2(2), 177–182.

Kemendikbud, 2019. Pendidikan di Indonesia: Belajar dari Hasil PISA 2018. Pusat Penilaian Pendidikan Balitbang KEMENDIKBUD.

Kemendikbud, 2020. AKM dan Implikasinya pada Pembelajaran. Pusat Asesmen Dan Pembelajaran Badan Penelitian Dan Pengembangan Dan Perbukuan Kementerian Pendidikan Dan KebudayaanPembelajaran Badan Penelitian Dan Pengembangan Dan Perbukuan Kementerian Pendidikan Dan Kebudayaan.

Kemendikbud, 2023. Rapor Pendidikan Indonesia Tahun 2023.

https://raporpendidikan.kemdikbud.go.id/

Khairizka, W. I., Wandini, R. R., & Nanda, V. D., 2023. Analisis Kemampuan Literasi Matematis Siswa ditinjau dari Karakter Belajar Aljabar di Sekolah Dasar. INNOVATIVE: Journal Of Social Science Research, 3(2), 10227–10233. https://doi.org/10.37850/cendekia.v10i02.70

Latiban, J. J., & Mendez, M. L. S. P., 2022. FACTORS AFFECTING NUMERACY SKILLS. IJARIIE: International Journal of Advance Research and Innovative Ideas in Education, 8(6), 359–374.

Mahdiansyah, & Rahmawati., 2014. Literasi Matematika Siswa Pendidikan Menengah: Analisis Menggunakan Desain Tes Internasional dengan Konteks Indonesia. Jurnal Pendidikan Dan Kebudayaan, 20(4), 452–469.

Mahmud, M. R., & Pratiwi, I. M., 2019. Literasi Numerasi Siswa Dalam Pemecahan Masalah Tidak Terstruktur. KALAMATIKA Jurnal Pendidikan Matematika, 4(1), 69–88. https://doi.org/10.22236/kalamatika.vol4no1.2019pp69-88

Ndakularak, I. L., Randjawali, E., Nggaba, M. E., Bima, S. A., Ina, Y. T., Ishak, D. D., & Rinawati, Y., 2023. PROFIL KEMAMPUAN NUMERASI SISWA SEKOLAH DASAR KELAS TINGGI DI MALUMBI KABUPATEN SUMBA TIMUR. Prima Magistra: Jurnal Ilmiah Kependidikan, 4(1), 17–27.

OECD, 2013. PISA 2012 Assessment and Analytical Framework: Mathematics, Reading, Science, Problem Solving and Financial Literacy. OECD Publishing.

Pentury, T., Aulele, S. N., & Wattimena, R., 2016. Analisis Regresi Logistik Ordinal (Studi kasus: Akreditasi SMA di Kota Ambon). BAREKENG: Jurnal Ilmu Matematika Dan Terapan, 10(1), 55–60. https://doi.org/10.30598/barekengvol10iss1pp55-60

Qadry, I. K., Dassa, A., & Aynul, N., 2022. ANALISIS KEMAMPUAN LITERASI MATEMATIKA SISWA DALAM MENYELESAIKAN SOAL PISA KONTEN SPACE AND SHAPE PADA KELAS IX SMP NEGERI 13 MAKASSAR. Infinity: Jurnal Matematika Dan Aplikasinya (IJMA), 2(2), 78–92.

Sukarya, M., & Isnurani., 2023. Analysis of Factors Affecting Numeracy Literacy of Students in Class VIII of SMP Darus Salam. International Journal of Business, Law, and Education, 4(2), 512–516.

Talakua, M. W., Ratuanak, A., & Ilwaru, V. Y. I., 2019. Analisis Regresi Logistik Ordinal Terhadap Faktor-Faktor Yang Mempengaruhi Waktu Kelulusan Mahasiswa S1 Di FMIPA Unpatti Ambon Tahun 2016 Dan 2017. BAREKENG: Jurnal Ilmu Matematika Dan Terapan, 13(1), 033–038. https://doi.org/10.30598/barekengvol13iss1pp033-038ar692

Tamba, E. L., Gultom, S. P., & Sinaga, S. J., 2023. Analisis Kemampuan Literasi Matematis dan Penalaran Matematika Peserta Didik pada Materi Aljabar di Kelas VII SMP Negeri 13 Medan T.A 2023/2024. INNOVATIVE: Journal Of Social Science Research, 3(5), 7019–7031.

Thi, H. C., Le, T. A., Ngoc, B. T., & Phuong, T. P. T., 2023. Factors affecting the numeracy skills of students from mountainous ethnic minority regions in Vietnam: Learners’ perspectives. Cogent Education, 10(1). https://doi.org/10.1080/2331186X.2023.2202121

Umbara, U., Wahyudin, & Prabawanto, S., 2021. Literasi Matematis, Ethnomathematics, dan Ethnomodeling. Bandung: PT Refika Aditama.

Utami, R. A. S., Widodo, J. S., Siagian, T. H., & Ragamustari, S. K., 2020. Numerical Literacy Among Senior High School Students at Alumni Course Institution in Jakarta Branch: Critical Literacy in Numeral Data Interpretation. Proceedings of the International University Symposium on Humanities and Arts 2020, 593(2020), 247–253.