The Implementation of Structural Equation Modeling (SEM) on Academic Ability and Family Environment in Twelfth-Grade Students' Selecting of Public Universities

Vinsensia Gerosa Taena; Justin Eduardo Simarmata; Eduardus Beo Seso Delvion

doi:10.33019/fraction.v5i1.89

Authors

Vinsensia Gerosa Taena University of Timor
Justin Eduardo Simarmata University of Timor
Eduardus Beo Seso Delvion University of Timor

DOI:

https://doi.org/10.33019/fraction.v5i1.89

Keywords:

SEM, Kemampuan Akademik, Lingkungan Keluarga, PTN

Abstract

Public universities are the primary institutions chosen by students who have recently completed their secondary education to continue their studies. This decision is influenced by both internal and external factors. Several factors that affect the decision to pursue further education at a public university include academic ability and the family environment. The aim of this study is to identify the structural model between these variables using the Structural Equation Modeling (SEM) method. The data for this study were collected from 203 twelfth-grade students of Taekas Public High School in the 2023/2024 academic year. The analysis results indicate that the influence of the latent variable of academic ability on the interest in selecting a public university, based on the path coefficient value, is 0.68. This implies that the better the student's academic ability, the greater their interest in selecting a public university. The influence of the latent variable of family environment on the interest in selecting a public university, based on the path coefficient value, is 0.78. This suggests that the better the student's family environment, the greater their interest in selecting a public university.

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References

[1] S. Z. Akmal, “Faktor-faktor yang menentukan kebimbangan karier pada siswa SMA ke-las XII,” Jurnal Psikologi , vol. 18, no. 1, pp. 1–12, 2019, doi: 10.14710/jp.18.1.1-12.

[2] D. Hossler and K. S. Gallagher, “College choice models in higher education,” Journal of Educational Research, 2021.

[3] M. Sopbaba, J. E. Simarmata, and K. Y. Klau, “Pemodelan Persamaan Struktural Ke-mampuan Akademik dan Karakteristik Individu dalam Mengidentifikasi Ketertarikan Siswa Kelas XII dalam Memilih Perguruan Tinggi Negeri,” Jambura Journal of Probabil-ity and Statistics, vol. 5, no. 2, pp. 54–59, 2024, doi: 10.37905/jjps.v5i2.24914.

[4] J. E. Simarmata, F. Mone, and D. Chrisinta, “Structural Equations Modeling Approach: Issues in selecting a University,” JOIV: International Journal on Informatics Visualiza-tion, vol. 8, no. 3, pp. 1203–1212, 2024, doi: 10.62527/joiv.8.3.2162.

[5] E. Kusi, J. E. Simarmata, and C. N. Salsinha, “Pemodelan Persamaan Struktural Kemam-puan Akademik dan Lingkungan Sekolah Siswa Sebagai Faktor Penentu Dalam Memilih Perguruan Tinggi Negeri (PTN) Bagi Siswa Kelas XII,” in Prosiding Seminar Nasional Sains dan Teknologi “ SainTek,” 2024, pp. 34–44.

[6] E. L. Praditasari, A. Handayanto, and D. Wulandari, “Penggunaan Structural Equation Modeling (SEM) untuk Mengetahui Pengaruh Kebiasaan Mengakses Media Sosial ter-hadap Minat Belajar Siswa,” Imajiner: Jurnal Matematika dan Pendidikan Matematika, vol. 1, no. 6, pp. 306–309, 2019, doi: 10.26877/imajiner.v1i6.4858.

[7] L. Agrey and N. Lampadan, “Determinant factors contributing to student choice in select-ing a university,” Journal of Education and Human Development, vol. 3, no. 2, pp. 391–404, 2014, [Online]. Available: https://tinyurl.com/yeymrzby

[8] A. Proboyo and R. Soedarsono, “Influential factors in choosing higher education institu-tion: A case study of a private university in Surabaya,” Jurnal Manajemen Pemasaran, vol. 9, no. 1, pp. 1–7, 2015, doi: 10.9744/pemasaran.9.1.1-7.

[9] P. Jafari and A. Aliesmaili, “Factors influencing the selection of a university by high school students,” Journal of Basic and Applied Scientific Research, vol. 3, no. 1, pp. 696–703, 2013, [Online]. Available: https://api.semanticscholar.org/CorpusID:55603712

[10] S. Jiang, S. D. Simpkins, and J. S. Eccles, “Individuals’ math and science motivation and their subsequent STEM choices and achievement in high school and college: A longitudi-nal study of gender and college generation status differences,” Dev Psychol, vol. 56, no. 11, pp. 2137–2151, 2020, doi: 10.1037/dev0001110.

[11] M. Maidiana, “Penelitian survey,” ALACRITY: Journal of Education, pp. 20–29, 2021, doi: 10.52121/alacrity.v1i2.23.

[12] S. G. West, W. Wu, D. McNeish, and A. Savord, “Model fit in structural equation model-ing,” in Handbook of structural equation modeling, vol. 2, 2023, pp. 184–205.

[13] Y. Yuliana, T. Triyono, P. Haryono, and H. Retnawati, “Pemodelan persamaan struktural: Motivasi prestasi belajar matematika siswa terhadap aspek-aspek berpengaruh pada pembelajaran daring,” AKSIOMA: Jurnal Program Studi Pendidikan Matematika, vol. 11, no. 2, pp. 1194–1207, 2022, doi: 10.24127/ajpm.v11i2.5004.

[14] J. E. Simarmata, F. Mone, and D. Chrisinta, “Structural Equation Modeling: The Influ-ence of School Environment on Students’ Interest in Selecting State University,” JTAM (Jurnal Teori dan Aplikasi Matematika), vol. 8, no. 2, pp. 378–389, 2024, doi: 10.31764/jtam.v8i2.19921.

[15] Z. Putlely, Y. A. Lesnussa, A. Z. Wattimena, and M. Y. Matdoan, “Structural Equation Modeling (SEM) untuk Mengukur Pengaruh Pelayanan, Harga, dan Keselamatan terhadap Tingkat Kepuasan Pengguna Jasa Angkutan Umum Selama Pandemi Covid-19 di Kota Ambon,” Indonesian Journal Of Applied Statistics, vol. 4, no. 1, pp. 1–13, 2021.