Analisis Kesuksesan E-Billing pada Kantor Pelayanan Pajak Pratama Palembang Ilir Timur Menggunakan Structural Equation Modeling
Abstract
This study discusses the application of Structural Equation Modeling (SEM) and measures the success of e-billing implementation at the Palembang Ilir Timur Pratama Tax Office and the factors that influence its success. E-billing is developed and managed by the Directorate General of Treasury. There are 100 thousand e-billing users registered at the Palembang Ilir Timur Pratama Tax Office. Based on the analysis results obtained standardized residual covariances matrix values no smaller than -2.58 or greater than 2.58 and the probability of showing a value of 0.080 which means that the value meets the interpretation requirements that the model can be accepted. The results of this study indicate that the success rate of e-billing implementation is at the level of 78% ("Success"). This needs to be considered by organizations for the development of e-billing in the future.
Index Terms— Succsess, E-Billing, Structural Equation Modeling (SEM), Delone and Mclean, AMOS.
Abstrak–-Penelitian ini membahas Penerapan Structural Equation Modeling (SEM) dan mengukur kesuksesan implementasi e-billing di Kantor Pelayanan Pajak Pratama Palembang Ilir Timur dan faktor-faktor yang memengaruhi kesuksesannya. E-billing dikembangkan dan dikelola oleh Direktorat Jenderal Perbendaharaan. Pengguna e-billing sebanyak 100-an ribu yang terdata pada Kantor Pelayanan Pajak Pratama Palembang Ilir Timur. Berdasarkan hasil analisis didapatkan nilai standardized residual covariances matrix tidak ada yang lebih kecil dari -2,58 atau lebih besar dari 2,58 dan probabilitas menunjukan nilai 0,080 yang berarti nilai tersebut memenuhi syarat interpretasi bahwa model dapat diterima. Hasil dari penelitian ini menunjukan bahwa tingkat kesuksesan implementasi e-billing berada pada tingkat 78% (“Sukses”). Hal ini perlu dipertimbangkan oleh organisasi untuk pengembangan e-billing pada masa depan.
Kata Kunci— Kesuksesan, E-Billing, Structural Equation Modeling (SEM) , Delone and Mclean, AMOS.
Keywords
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PDFDOI: https://doi.org/10.18860/mat.v13i1.9570
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