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All Journal JURNAL MATEMATIKA STATISTIKA DAN KOMPUTASI Transformasi: Jurnal Pengabdian Masyarakat JOIN (Jurnal Online Informatika) Prima: Jurnal Pendidikan Matematika JPPM (Jurnal Pengabdian dan Pemberdayaan Masyarakat) International Journal of Educational Management and Innovation (IJEMI) JAMBURA JOURNAL OF PROBABILITY AND STATISTICS Jurnal Abdimas Sang Buana Indonesian Journal of Statistics and Its Applications
Reny Rian Marliana
Universitas Islam Bandung, Bandung, Indonesia
Religion Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Education Environmental Science Languange, Linguistic, Communication & Media Mathematics Public Health Social Sciences Other

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POISSON REGRESSION OF DAMAGE PRODUCT SALES USING MCMC Marliana, Reny Rian; Padmadisastra, Septiadi
Indonesian Journal of Statistics and Applications Vol 2 No 1 (2018)
Publisher : Statistics and Data Science Program Study, SSMI, IPB University, in collaboration with the Forum Pendidikan Tinggi Statistika Indonesia (FORSTAT) and the Ikatan Statistisi Indonesia (ISI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/ijsa.v2i1.53

Abstract

In this paper a model for the number of “damage” product sales is studied. The product sales are run into underreporting counts, caused by a delay on input process of the system called sales cycle. The goal of the study is to estimate the parameters of the regression model of product sales on an explanatory variable. It is the actual number of product sales. The model used is a mixture of the Poisson and the Binomial distributions. The parameters of the regression model are estimated by a Bayesian approach and Markov Chain Monte Carlo simulation using Gibbs sampling algorithm. The results of estimation clearly showed a gap between undamage product sales and the actual number. The gap is the number of damaged product sales.
COVARIANCE BASED-SEM ON RELATIONSHIP BETWEEN DIGITAL LITERACY, USE OF E-RESOURCES, AND READING CULTURE OF STUDENTS Marliana, Reny Rian; Nurhayati, Leni
Indonesian Journal of Statistics and Applications Vol 4 No 1 (2020)
Publisher : Statistics and Data Science Program Study, SSMI, IPB University, in collaboration with the Forum Pendidikan Tinggi Statistika Indonesia (FORSTAT) and the Ikatan Statistisi Indonesia (ISI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/ijsa.v4i1.552

Abstract

In this paper, a relationship model among latent variables using Covariance Based-Structural Equation Modeling (CB-SEM) is studied. The latent variables are digital literacy, use of e-resources and reading culture of students. The goal of the study is to build a simultaneously model between those three variables, determine the influence of digital literacy on the use of e-resources and reading culture of students, and the influence of the use of e-resources on reading culture of students. The parameters of the model are estimated by the Maximum Likelihood method. This study took data from 256 questionnaires of students at STMIK Sumedang. Results showed that digital literacy significantly influences the use of e-resources and the reading culture of students. In contrast, there are no significant influences on the use of e-resources on the reading culture of the student.
Bayesian-Structural Equation Modeling on Learning Motivation of Undergraduate Students During Covid-19 Outbreak Marliana, Reny Rian; Suhayati, Maya; Handayani N., Sri Bekti
Indonesian Journal of Statistics and Applications Vol 6 No 1 (2022)
Publisher : Statistics and Data Science Program Study, SSMI, IPB University, in collaboration with the Forum Pendidikan Tinggi Statistika Indonesia (FORSTAT) and the Ikatan Statistisi Indonesia (ISI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/ijsa.v6i1p63-76

Abstract

The aim of this study is to explore the relationship model between e-learning readiness, self-directed learning readiness, and learning motivation of the students at STMIK Sumedang during the COVID-19 outbreak. Bayesian-Structural Equation Modeling and Markov Chain Monte Carlo Algorithm are used in the estimation of the parameters. The posterior distribution is formed using informative prior i.e., inverse-Gamma distribution on variance parameters, inverse-Wishart distribution on residual covariance, and normal distribution on other parameters of the model. The calculation is performed using the blavaan package on R-Software version 4.1.0 with 19000 iteration and 9000 samples of burn-in period. Data were taken from 214 samples of the students at STMIK Sumedang. The outcome from the calculation showed there is a significant effect from self-directed learning readiness to motivation learning of students and there is no significant effect from e-learning readiness to learning motivation. The direct effect on learning motivation is 7.25 from self-directed learning readiness and 0.045 from e-learning readiness.
Co-Authors Aang Subiyakto A’ang Subiyakto Abd. Rohman, Aedah Binti Aedah Binti Abd. Rohman Atep Ruhiat David Setiadi Dwi Yuniarto Faladiba, Muthia Nadhira Handayani N., Sri Bekti Hendriawan, Muhammad Rifqi Leni Nurhayati Leni Nurhayati Leni Nurhayati Maya Suhayati Permana, Riyaldi Dithia Rizki Sopian Roshafara, Fauziah Septiadi Padmadisastra Sri Bekti Handayani N. Sri Bekti Handayani Ningsih Suliadi Suliadi Uun Pujayanti Wagus Sejati Wahyu Noergana Wilda Ainun Nisa