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

Zakheus Putlely, Yopi Andry Lesnussa, Abraham Z Wattimena, Muhammad Yahya Matdoan

Abstract

Structural Equation Modeling (SEM) is a statistical analysis technique used to build and test statistical models in the form of causal models. Large-Scale Social Restrictions (PSBB) are government policies to break the chain of spreading the corona virus (Covid-19). This policy certainly has an impact on drivers of public transport services. This research shows that the passengers are very satisfied with the travel safety factor. Meanwhile, service factors and passenger public transport fares are in the satisfied category. Furthermore, the variable service quality (MP), the price of public transportation (H), and passenger safety (KP) have an influence on passenger satisfaction. Because the t-value is greater than 1.96 (for the real level of 5%). The influence of service quality, price and safety variables on passenger satisfaction is 78.1%, the remaining 21.9% is influenced by other variables outside the research.

Keywords: covid-19, structural equation modeling, satisfaction.

Full Text:

PDF

References

Pradana, A. A. dan Casman, C. Pengaruh Kebijakan Social Distancing pada Wabah COVID-19 terhadap Kelompok Rentan di Indonesia. Jurnal Kebijakan Kesehatan Indonesia (JKKI). 9(2): 61-67. 2020.

Kresna, A. dan Ahyar, J. Pengaruh Physical Distancing dan Social Distancing Terhadap Kesehatan dalam Pendekatan Linguistik. Jurnal Syntax Transformation. 1(4): 14-19. 2020.

Rahmatullah, I. Jaminan Hak Kesehatan Pekerja Work From Office Selama Masa PSBB Covid-19. 'ADALAH, 4(1). 2020.

Hartanto, H. dan Tajsgoani, N. Dualisme Pengaturan Ojek Online Angkut Penumpang dalam Pembatasan Sosial Berskala Besar (PSBB) di Jakarta. Al-'Adl, 13(2): 250-264. 2020.

Anuraga, G. dan Otok, B. W. Pemodelan Kemiskinan di Jawa Timur dengan Structural Equation Modeling-Partial Least Square. Jurnal Statistika Universitas Muhammadiyah Semarang. 1(2). 2013.

Singer, H. SEM Modeling with Singular Moment Matrices Part II: ML-Estimation of Sampled Stochastic Differential Equations. The Journal of Mathematical Sociology. 36(1): 22-43. 2012.

Aulele, S. N., Hiariey, A. H., Lesnussa, Y. A., dan Matdoan, M. Y. Analisis Indeks Kepuasan Mahasiswa Jurusan Matematika FMIPA Unpatti Terhadap Operator simPATI Menggunakan Structural Equation Modeling. Sainmatika: Jurnal Ilmiah Matematika dan Ilmu Pengetahuan Alam. 15(1): 1-7. 2018.

Hair Jr, J. F., Sarstedt, M., Hopkins, L., and Kuppelwieser, V. G. Partial Least Squares Structural Equation Modeling (PLS-SEM). European business review. 2014.

Hooper, D., Coughlan, J., and Mullen, M. Structural Equation Modeling: Guidelines for determining Model Fit. The Electronic Journal of Business Research. 6(1): 354-373. 2008.

Refbacks

  • There are currently no refbacks.