• Buku GWR

    We publish book on the theory and application of spatial and spatio-temporal statistics. That present method generated by new applications, or in which new approach is applied to a major practical case. At the same time, we also share the step of analysis using R Software. So, that it makes some of your tasks simpler and easier. For further information, please visit

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  • PhD Graduation

    Terima kasih banyak untuk semua orang baik yang saya temui di Taiwan. Kita memiliki hak dan kesempatan yang sama hanya saja kita berangkat dari niat dan usaha yang berbeda - 01 Syawal 1442H – - 13 May 2021-

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  • GLM

    Aplikasi Generalized Linear Model pada R

    Pada umumnya pemodelan statistika bersifat abstrak yang merupakan konsep sederhana dari sebuah teori yang lumrahnya digunakan pada rumpun sains, teknologi penelitian tentang hubungan diantara fenomena-fenomena real merupakan dasar dari tujuan sains dan memainkan peranan penting dalam kehidupan sehari-hari. Dalam praktek di lapangan, data yang ditemukan seringkali tidak memenuhi asumsi yang diisyaratkan regresi linier klasik. Generalized linier model (GLM) merupakan perluasan dari model regresi linier dengan asumsi prediktor memiliki efek linier akan tetapi tidak mengasumsikan distribusi tertentu dari variabel respon dan digunakan ketika variabel respon merupakan anggota dari keluarga eksponensial.

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Research Portofolio

Rezzy Eko Caraka,PhD , act as a researcher and practitioner in the field of data science and statistics. He has worked on all the SDGs topics to produce precise modeling, forecasting, data mining and text mining analysis for policy and decision making. Recently, he has authored more than 11-book series, including data science, statistics, machine learning, spatial analysis. He has received many awards including best paper, best presenter, best research. In 2021 he received a nomination and award from Data Sains Indonesia (DSI) as the best data science researcher. At the same time,  He serves as Editorial Member of Sustainability MDPI, Atmosphere MDPI. He Serves as a reviewer at several top tier Journal Information Sciences, IEEE Access, BMC Medical Research Methodology, Remote Sensing MDPI, Modelling MDPI, Symmetry MDPI, Healthcare MDPI, International Journal of Environmental Research and Public Health MDPI, Telkomnika, Social Indicators Research, International Journal of Disaster Risk Reduction, International Journal of Islamic and Middle Eastern Finance and Management (IMEFM). His research interests include, but are not limited to Data Science, Large-Scale Optimization, Fast Computing, Disaster Risk, Environmental Science, Sustainable Development Goals. He was co-founder of statistical software STATCAL (http://statcal.com/).

Education

2011-2015: Bachelor of Science, Department of Statistics, Diponegoro University

2017-2018: Master of Science by Research (MScRES), School of Mathematical Sciences, The National University of Malaysia

2019-2021: Doctor of Philosophy, Department of Information Management, College of Informatics, Chaoyang University of Technology

Email: rezzy.eko@ui.ac.id or contact.carakarezzy@gmail.com

Personal website : linktr.ee/akaracyzzer

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REVIEWER EXPERIENCES:

Keywords: Spatial; Fast Computing; SDGs; Machine Learning; Statistics