The Analysis of Psychological Factors on Students' Interest Towards the Independent Campus Internship Program Using Structural Equation Modeling Partial Least Square

Arlene Henny Hiariey; Yayan Ode

Authors

Arlene Henny Hiariey Universitas Pattimura
Yayan Ode Universitas Pattimura

Keywords:

Internship, MBKM, Student Interest, SEM-PLS, Statistics Study Program FMIPA UNPATTI

Abstract

Internship is part of a job training system that is held in an integrated manner between training at training institutions by working directly under the guidance and supervision of instructors or more experienced workers/laborers, in the process of producing goods and / or services in the company, in order to master certain skills or expertise. The internship program is part of the Merdeka Belajar Kampus Merdeka (MBKM) program, which provides opportunities for students from various universities in Indonesia in coordination with the ministry of education, culture, research, and technology (Kemendikbudristek) to learn in the world of work. The object in this study was focus on a student of the Statistics Study Program at Pattimura University. The purpose of this study is to model SEM-PLS based on cases from the results of questionnaire analysis, determine indicator variables that are feasible to be used as an influence on latent variables based on the SEM-PLS method, and identify the influence of exogenous latent variables, namely Motivation, Value Perception of Internship Program. SEM is one of the Multivariate data analysis methods which is a statistical analysis method to analyze several variables simultaneously. Based on the results and discussion in this study is modeling the influence of motivation, Perception of Internship Program Value, Perception of Self-Ability, and Perception of Specific Support for Student Interest resulting in the following structural equations:. These results are valid, reliable, and have been evaluated both through reflective and formative measurement processes.

References

Alfattah, H. & Maghfiroh, A., A., 2022. Analisis Yuridis Mengenai Program Magang Kampus Merdeka. Univ. Diponegoro, Vol. 2, No. 4, 1–16.

Aulele, S., N., Hiariey, A., H., Lesnussa, Y., A. & Matdoan, M., Y., 2018. Analisis Indeks Kepuasan Mahasiswa Jurusan Matematika FMIPA Unpatti Terhadap Operator simPATI Menggunakan Structural Equation Modeling. Sainmatika, Vol. 15, No. 1, 1-7.

Dirjen Dikti Kemendikbud, 2020. Buku Panduan Pelayanan Merdeka Belajar dan Kampus Merdeka. Merdeka Belajar-Kampus Merdeka, 1–33

Hair, J., F., Sarstedt, M. & Ringle, C., M., 2019. Rethinking some of the rethinking of partial least squares. European Journal of Marketing., Vol. 54, No. 2, 566–584

Hiariey, A., H., Upuy, D. & Latupeirissa, S., J., 2022. Analisis SEM - PLS Perilaku Pasien HIV / AIDS terhadap Gambaran Klinis Pasien. Jurnal Sustainable Vol. 11, No. 2, 1–6.

Hiariey, A., H., 2018. Analisis Path Modeling Segmentation Partial Least Square ( Pathmox-Pls ) Pada Gambaran Klinis Pasien HIV / AIDS, Tesis. ITS. Surabya.

Juliandi, A., 2018. Structural Equation Model Partial Least Square ( SEM-PLS ) Dengan SmartPLS. Modul Pelatihan, 1–4.

Kansal R. & Aggarwal, N., 2023. An Empirical Analysis in Analysing the Critical Factors Influencing the Health Insurance Business in Achieving Sustainable Development Using Structural Equation Model. IEEE,1–5.

Loizou, C., Evripides, G. & Christodoulides, P., 2022.Structural Equation Modeling for Stroke Risk Assessment of the Common Carotid Artery based on Texture Analysis. ELECS 2022, 31–35.

Ningsi, B., A., 2018. Analisis Kepuasan Pelanggan Atas Kualitas Produk dan Pelayanan Dengan Metode SEM-PLS. J. Stat. dan Apl., Vol. 2, No. 2, 8–16.

Sarstedt, M., Ringle, C., M. & Hair, J. F., 2022. Partial Least Squares Structural Equation Modeling, Handbook of Market Research, 587-632

Sauddin, N., S., R., A., 2018. Analisis Pengaruh Keterampilan Mengajar, Emosi Mahasiswa, Tekanan Akademik Dan Perceived Academic Control Terhadap Prestasi Akademik Mahasiswa Menggunakan Pendekatan SEM-PLS. MSA, Vol. 6, No.1, 1–7.

Siwalette, R., Aulele, S., N., Djami, R., J., Nanlohy, Y., W., A. & Hiariey, A., H., 2022. Analisis Faktor-Faktor Yang Berpengaruh Terhadap Pembelian Secara Online Di Kota Ambon Menggunakan Metode Structural Equation Modeling - Partial Least Square ( SEM-PLS ). Variance, Vol. 4, No. 1, 47–54.

Tangri, K., Joghee, S., Kalra, D., Shameem, B. & Agarwal, R.,2023.Assessment of Perception of Usage of Mobile Social Media on Online Business Model through Technological Acceptance Model (TAM) and Structural Equation Modeling (SEM). ICBATS 2023, 1–6.

Wang, Z., Yang, Q., Chen, Y. & Zhang, S., 2022. Satisfaction Analysis of Smart Teaching System Based on Structural Equation Model. Procci. - 2022 3rd Int. Conf. Electron. Commun. Artif. Intell. IWECAI 2022, 584–588.