Estimasi Parameter Structural Equation Modeling Terhadap Kepuasan Pelanggan Layanan Telekomunikasi Menggunakan Metode Maximum Likelihood

Dwicahyo Ramadhan Priyatna, Raupong Raupong, La Podje Talangko

Abstract


Structural Equation Modeling is a statistical technique that is able to analyze the pattern of simultan linear relationships between indicator variables and latent variables. In this study using structural equation modeling to analyze the relationship between perceived quality, perceived value, perceived bestscore, and customer satisfaction. The purpose of this study is to obtain the result parameter model estimation of structural equation modeling using maximum likelihood method and to obtain the level of students satisfaction from faculty of Mathematics and Natural Science Hasanuddin University toward Tri operator. Data collected by distributing questionnaire. Collecting sample in this study using Proporsional Random Sampling technique. To measure the level of students satisfaction from faculty of Mathematics and Natural Science Hasanuddin University toward Tri operator, the model chosen is the model used to measure Indonesian Customer Satisfaction Indeks. From the result of this study obtained in the amount of 92,04% with very satisfied criteria level of students satisfaction from faculty of Mathematics and Natural Science Hasanuddin University toward Tri operator with very satisfied criteria.


Keywords


Customer Satisfaction, Maximum Likelihood, Provider Tri, SEM, Goodness of Fit.

Full Text:

PDF

References


Hair, J.F. Multivariate Data Analysis. 7th Edition. New York : Pearson Prentice Hall, 2010.

Dillala, L. Handbook of Multavariate statistic and mathematical modelling. Illinois: Elsevier Science, 2000.

Marisca, M. Analisis Faktor Konfirmatori Untuk Tingkat Kepuasan Pengunjung Perpustakaan Universitas Negeri Yogyakarta. Skripsi. Departemen Pendidikan Matematika UNY, 2014.

Widya, R. Penggunaan Metode Structural Equation Modelling Untuk Analisis Faktor Yang Mempengaruhi Motivasi Belajar Mahasiswa FIP UMJ. Skripsi. Departemen Pendidikan Matematika, 2017.

Subchiani, R. Perbandingan Metode Maximum Likelihood Unweighted Least Square dan Weughted Least Square Dengan Beberapa Ukuran Sampel Pada Model Persamaan Struktural. Skripsi. Departemen Matematika, Universitas Lampung. 2016.

Ilmma, A. Taksiran Maksimum Likelihood Pada Model Persamaan Struktural Nonlinear. Skripsi. Departemen Matematika, Universitas Indonesia. 2009.

Wijanto, S.H. Structural Equation Modelling dengan Lisrel 8.80. Yogyakarta: Graha Ilmu, 2008.




DOI: http://dx.doi.org/10.20956/ejsa.v1i1.9299

Refbacks

  • There are currently no refbacks.


Office Address:

Department of Statistics Faculty of Mathematics and Natural Sciences Hasanuddin University
Jl. Perintis Kemerdekaan Km. 10 Tamalanrea Makassar - Indonesia, 90245

ESTIMASI is indexed by:
 

Creative Commons LicenseJournal of Statistics and Its Application is licensed under a Creative Commons Attribution 4.0 International License

View My Stats

ESTIMASI: Journal of Statistics and Its Application, p-ISSN: 2721-379X and e-ISSN: 2721-3803