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Effendi, Moch Bisyri
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Economics, Econometrics & Finance

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Relationship Pattern of Pedagogic Competence with Moderating Structural Equation Modeling Score Factor (MSEM-SF) Effendi, Moch Bisyri; Samekto, Agus; Julianti, Emma
Journal of Economics, Business, and Accountancy Ventura Vol. 20 No. 3 (2017): December 2017 - March 2018
Publisher : Universitas Hayam Wuruk Perbanas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14414/jebav.v20i3.932

Abstract

The quality of education depends highly  on the capacity of educational units in transforming the learners to gain added value, whether it is related to the aspects of thinking, taste, heart, and body. Among the components of education, teachers and lecturers are very important and strategic factors in an effort to improve the quality of education in every educational unit. The purpose of this research is to know the effect of professional competence, social competence on pedagogic competence with personality competence as moderation variable based on students’ perception. The analytical method used is Confirmatory Factor Analysis (CFA) to confirm the validity and reliability of the indicator of the latent variables and Moderating Structural Equation Modeling Score Factor (MSEM-SF) to determine the effect of moderation. The results show that personality competence moderates the relationship of the effect of professional competence on pedagogic competence but personality competence does not moderate relationship of the effect of social competence on pedagogic competence. This implies that, a good professional competence can accelerate the improvement of pedagogic competence quality supported by good personality competence.
Modeling the Financial Crisis in Indonesia Armansyah, Rohmad Fuad; Effendi, Moch Bisyri
Journal of Economics, Business, and Accountancy Ventura Vol. 20 No. 2 (2017): August - November 2017
Publisher : Universitas Hayam Wuruk Perbanas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14414/jebav.v20i2.1127

Abstract

The purpose of this paper is to construct the model of the financial crisis in Indonesia through exchange market pressure index approach by using Multivariate Adaptive Regression Spline. This research used secondary data from the Central Bank of Indonesia from 2005 to 2014, consisting  of 120 observations. The dependent variables is  exchange market pressure index, and the independent variables consist of 11 macro economics variable. This research used the MARS 2.0 software, to build the model. The results shows 53.9% accuracy model of MARS and it obtains the smallest value of GCV that is 1.84, and the international interest rate of US Prime Rate is the most influential variable towards the exchange market pressure index. The results also provide additional knowledge regarding the indicators that can lead to the financial crisis based on the model established by the MARS approach. The implication is that the variable of international interest rate of US Prime Rate through the MARS approach can be an early warning system against the crisis that probably will happen, especially in Indonesia.
Analysis of Access to Financial Services on Poverty Alleviation with MARS Approach Effendi, Moch Bisyri; Sunani, Avi
Journal of Economics, Business, and Accountancy Ventura Vol. 23 No. 1 (2020): April - July 2020
Publisher : Universitas Hayam Wuruk Perbanas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14414/jebav.v23i1.2185

Abstract

This study aimed to determine the barriers of public access to financial services and their effects on poverty alleviation. The sample used was 6 ASEAN countries (Indonesia, Singapore, Malaysia, Vietnam, Thailand, and the Philippines) from 2006 to 2015. The analytical method used was the MARS. MARS is one of the nonparametric regression methods as an alternative to the multiple linear regression method, which must fulfill parametric assumptions. The results of the study using MARS show that the model formed has a high coefficient of determination, and criteria of the test of the suitability of the model are met. In other words, multivariate adaptive regression spline (MARS) can explain well the variability of the independent variables on the dependent variable. The results of the hypothesis testing using the MARS method show that indicators of macroeconomic, social, bank characteristics, institutions, and regulations affect access to financial services (AFS) and AFS affect poverty alleviation. This finding shows that increasing AFS will affect poverty reduction, and to increase public AFS can be done by minimizing macroeconomic, regulatory, social, bank, and institutional constraints.
Co-Authors Agus Samekto Julianti, Emma Rohmad Fuad Armansyah, Rohmad Fuad Sunani, Avi