Lecturer
Teaching some fundamentals of Statistics to help students improve their Statistical Literacy.
Over the years, I’ve had the opportunity to work on a number of incredible projects that have allowed me to grow and establish myself within this field. I hope you’ll enjoy viewing my projects as much as I enjoyed working on them. Go ahead and explore, and don’t hesitate to reach out if you’d like to learn more.
About Me
I’m a Lecturer with more than 7 years experience. My work is focused on teaching Statistics, researching, composing a scientific article, and carrying out the community services.
I am a caring and dedicated professional. I received an award as the graduate with the fastest study time for the Bachelor Program at Padjadjaran University in 2010. Additionally, I received a Scholarship from the Ministry of Education and Culture, Republic of Indonesia for the Master's Program at Padjadjaran University in 2012. Finally, I received an award as a the best graduate for the Master's program at Padjadjaran University in 2014.
I am skilled in R-Software, SPSS, SmartPLS, MINITAB, LISREL and Microsoft Excel. I’m always happy to apply the experience and skills I’ve obtained throughout my life and career to an interesting project, especially one that involves creative problem solving and innovative thinking. Have a look at all I’ve worked on, and let me know if you have any questions.
Professional History
My Experience
Lecturer at Department of Statistics, Universitas Islam Bandung- Indonesia
Februari 2023- Now
Teaching some fundamentals of Statistics to help the Students improve their Statistical Literacy, carry out community services and researches at Department of Statistics, Universitas Islam Bandung - Indonesia
Lecturer at Department of Informatics Engineering, Sebelas April University (ex-STMIK Sumedang) - Indonesia
Desember 2015 - Januari 2023
Teaching some fundamentals of Statistics to help the Students improve their Statistical Literacy, carry out community services and researches at Department of Informatics Engineering, Sebelas April University (ex-STMIK Sumedang) - Indonesia
Lecturer at Department of Business Management, Batam State Polytechnic - Indonesia
October 2014 - July 2015
Taught some fundamentals of Statistics to help the Students improve their Statistical Literacy, carried out community services and researches at Department of Business Management, Batam State Polytechnic - Indonesia
Follow Up Marketing SBU Jeans, PT Multigarmenjaya (Cardinal), Bandung-Indonesia
December 2010 - April 2012
Had to keep the sales high or made it higher, made a products distributions plan, made a request for new products, watched over the competitors, communicated with the supervisors and sales promotion girls, etc.
Outsoursing Reasearch of Business Unit PT. Telkom R & D Center, Bandung-Indonesia
October 2010 - December 2010
Collected all informations about the Competitors i.e. their milestones, products, prices etc for the Company Profiling Project.
Education
Padjadjaran University, Indonesia
2012-2014
Master's degree in Applied Statistics
Padjadjaran University, Indonesia
2006-2010
Bachelor's degree in Statistics
Publications
Latest Publications of Research Papers
Covariance Based-SEM on Relationship between Digital Literacy, Use Of E-Resources, and Reading Culture of Students
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.
Partial Least Square-Structural Equation Modeling pada Hubungan Antara Tingkat Kepuasan Mahasiswa dan Kualitas Google Classroom Berdasarkan Metode Webqual 4.0
This paper studied a relationship between the quality of google classroom and student satisfaction. The quality of google classroom measured based on the Webqual 4.0 which is consists of four variables i.e. information quality, service interaction quality, user interface quality and usability. The relationship modeling between these latent variables and the student satisfaction was done by using the Partial Least Square-Structural Equation Modeling (PLS-SEM). Estimation parameters of the model used PLS-SEM algorithm and Ordinary Least Square (OLS) method. Data was collected using a questionnaire to 89 students of google classroom’s Probability and Statistics Course, Odd Semester 2017-2018 at STMIK Sumedang. The result showed the information quality, the service interaction quality and the user interface quality does not have significantly influence of the student satisfaction. Each of the total effects are 0.149; 0.011 and -0.155. While the usability has a significant effect to the student satisfaction positively with total effect 0.707.
Poisson Regression of Damage Product Sales using MCMC
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 undamaged product sales and the actual number. The gap is the number of damaged product sales.
Penaksiran Penjualan Produk Berdasarkan Pendekatan Model Regresi Negatif Binomial
The goal of study is to compare the parameters of the negative Binomial regression model and the Poisson Model for underreported counts in the previous study. A model is a regression model for the number of product sales that run into underreporting counts, caused by a delay on input process to the product sales applications (called sales cycle). The model used in the previous study is a mixture of the Poisson and the binomial distributions developed by Winkelmann (1996). The regression parameters are estimated by a Bayesian approach and Markov Chain Monte Carlo simulation using Gibbs sampling algorithm. The results show the difference between the actual number and the reported number. This difference is the number of unreported product sales. In this study, the model used is the negative binomial regression model. The regression parameters are estimated using Newton Rapson iteration method. The results show a big gap from the previous study. It means that the Poisson Model for underreported counts is more robust in accordance with the seasonal components.
Modules
Module 1
Module of Statistics and Probability
Module 2
Practicum Module using Microsoft Excel and SPSS
Module 3
Practicum Module using Microsoft Excel and R-Software
Module 4
Module of Statistics and Probability (2rd Version)
Module 5
Practicum Module using Microsoft Excel and R-Software (2rd Version)
