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All Journal Jurnal Gaussian Jurnal Matematika: MANTIK Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Euclid STATISTIKA
Muhammad Fajar
Badan Pusat Statistik
Decision Sciences, Operations Research & Management Education Mathematics Social Sciences Other

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Journal : Jurnal Gaussian

 1 
PEMODELAN BAYESIAN KONSUMSI RUMAH TANGGA AGREGAT MENGGUNAKAN PRIOR ZELLNER Muhammad Fajar
Jurnal Gaussian Vol 10, No 4 (2021): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/j.gauss.v10i4.30871

Abstract

In the development of statistics, there are two views of parameters, namely frequentist and Bayesian. In Bayesian, the parameter is a random variable, not a constant like a frequentist view. The research aims to estimate the function or model of household consumption agrees using the Bayesian method. The data used in this study are GDP (y) and household consumption (x) at constant prices (2000) for the 1983Q1 - 2016Q4 period sourced from the Statistics-Indonesia. This study results that the Bayesian regression modeling of the household consumption function agrees with Zellner's previous use. The income coefficient in this model is significant and gets a marginal propensity to consume the value of 0.5702. This implies that more than half of people's income is used for consumption purposes.  
PENERAPAN SMOOTHING B-SPLINES PADA HUBUNGAN ANTARA PERTUMBUHAN EKONOMI DAN TINGKAT KEBAHAGIAAN Muhammad Fajar; Eko Fajariyanto
Jurnal Gaussian Vol 11, No 4 (2022): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/j.gauss.11.4.605-615

Abstract

This study aimed to model the smoothing of B-splines on the relationship between happiness and economic growth. The method used in this research is smoothing B-splines, which were in the process of determining knots and smoothing parameters (λ) based on the minimum GCV. The data used in the study came from Badan Pusat Statistik-Statistics Indonesia. The results of this study concluded that the smoothing of B-splines is quite good at modeling the relationship between the level of happiness (response variable) and economic growth (predictor variable). The smoothing B-splines model can explain the variation in the level of happiness by 71.583 percent.
Co-Authors Eko Fajariyanto Muhammad Muhtoni Noviar Oktya Putri Gitaningtyas Purwaning Dhahari Wahyudi Manurung