• Home
  • Rezzy Eko Caraka
Rezzy Eko Caraka

Rezzy Eko Caraka
Badan Riset dan Inovasi Nasional · Sains Data Informasi

MSc(by Research) PhD
Associate Researcher at The National Research and Innovation Agency (BRIN)

About

187
Publications
197,459
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
1,178
Citations
Introduction
Rezzy Eko Caraka, PhD, acting as a Senior Researcher at the National Research and Innovation Agency (BRIN), the Republic of Indonesia; in Addition, He serves as Research Professor at the Department of Statistics, Seoul National University. He has worked on all the applications of Data Science on SDGs topics to produce precise modelling, forecasting, data mining and text mining analysis for policy and decision making.
Additional affiliations
May 2022 - present
Ulsan National Institute of Science and Technology
Position
  • Fellow Researcher
January 2022 - March 2022
Seoul National University
Position
  • Researcher Professor
January 2022 - present
Seoul National University
Position
  • Research Professor
Education
January 2019 - April 2021
Chaoyang University of Technology
Field of study
  • Information Management
September 2017 - September 2018
Universiti Kebangsaan Malaysia
Field of study
  • Statistics
June 2015 - September 2015
Bandung Institute of Technology
Field of study
  • Actuarial

Publications

Publications (187)
Article
Full-text available
Air pollution is the entry or inclusion of living things, energy substances, and other components into the air. Moreover, Air pollution is the presence of one or several contaminants in the outside atmospheric air such as dust, foam, gas, fog, smoke or steam in large quantities with various properties and time intervals of the contaminants in the a...
Preprint
Full-text available
COVID-19 has a severe and widespread impact, especially in Indonesia. COVID-19 was first reported in Indonesia on March 03, 2020 then rapidly spread to all 34 provinces by April 09, 2020. Since then, COVID-19 is declared a state of national disaster and health emergency. This research analyzes the difference of CO, HCHO, NO2, and SO2 density in Jak...
Article
Full-text available
The H-likelihood method proposed by Lee and Nelder (1996) is extensively used in a wide range of data. In terms of direction, repetitive measured data within classification can be examined employing hierarchical generalized linear models (HGLMs). Whether we are concerned in multiple endpoints which are correlated, instead Multivariate Double Hierar...
Article
Full-text available
The diagnosis of a hazard can be classified into three key domains, particularly regarding the natural hazards, non-natural hazards and social hazards. The disasters which have actually happened in West Papua require considerable attention and consideration of the Indonesian Government, despite since they have handled as much as they can to provide...
Method
Full-text available
We present this package for fitting structural equation models using the hierarchical likelihood method. This package allows extended structural equation model, including dynamic structural equation model. We illustrate the use of our packages with well-known data sets. Therefore, this package are able to handle two serious problems inadmissible so...
Article
Full-text available
In December 2021, the latest COVID-19 variant, Omicron, was confirmed in Indonesia. Unlike the Delta variant, the number of deaths in the Omicron type did not increase significantly and remained constant, even though the cases increased significantly. It is hoped that Indonesia will declare COVID-19 endemic. Jakarta is the capital of Indonesia and...
Article
Full-text available
Background: The generalized space-time autoregressive (GSTAR) model is one of the most widely used models for modeling and forecasting time series and location data. Methods: In the GSTAR model, there is an assumption that the research locations are heterogeneous. In addition, the differences between these locations are shown in the form of a weigh...
Article
Full-text available
Albatross Analytics is a statistical and data science data processing platform that researchers can use in disciplines of various fields. Albatross Analytics makes it easy to implement fundamental analysis for various regressions with random model effects, including Hierarchical Generalized Linear Models (HGLMs), Double Hierarchical Generalized Lin...
Article
Full-text available
Background: In heart data mining and machine learning, dimension reduction is needed to remove multicollinear-ity. Meanwhile, it has been proven to improve the interpretation of the parameter model. In addition, dimension reduction can also increase the time of computing in high dimensional data. Methods: In this paper, we perform high dimensional...
Article
Full-text available
Design/methodology/approach: In the present digital era, technology infrastructure plays an important role in the development of digital literacy in various sectors that can provide various important information on a large scale. Purpose: The use of information and communication technology (ICT) in Indonesia in the last five years has shown a massi...
Article
Full-text available
As an area experiencing air pollution, especially ozone concentrations that often exceed the threshold or are unhealthy, JABODETABEK (Jakarta, Bogor, Depok, Tangerang, and Bekasi) seeks to prevent and control pollution as well as restore air quality. Therefore, this study aims to build a predictive model of ozone concentration using Harris hawks op...
Article
Full-text available
In this paper, we examine how social media influencers can influence visit intention, especially in the case of Raffi Ahmad and Nagita Slavina, a top influencer who by 2 Sep-tember 2021 had reached 21.3 M subscribers on YouTube and 54.9 m followers on Instagram with an engagement rate of 0.42%. The focus of this study is Generation Y or Millennials...
Article
Full-text available
Purpose This paper aims to explore netizen’s opinions on cryptocurrency under the lens of emotion theory and lexicon sentiments analysis via machine learning. Design/methodology/approach An automated Web-scrapping via RStudio is performed to collect the data of 15,000 tweets on cryptocurrency. Sentiment lexicon analysis is done via machine learnin...
Article
Full-text available
Purpose Despite the practice of credit card services by Islamic financial institutions (IFIs) is debatable, Islamic banks (IBs) have been offering this product. Both Muslim and non-Muslim customers have subscribed to the products. Thus, it is critical to analyse the strategy of IBs’ moral messages in reminding their Muslim and non-Muslim customers...
Article
Full-text available
COVID-19, as a global pandemic, has spread across Indonesia. Jakarta, as the capital of Indonesia, is the province with the most positive cases. The government has issued various guidelines , both at the central and regional levels. Since it began in 2021, the planned new measures, called 'Pemberlakuan Pembatasan Kegiatan Masyarakat Darurat', or PP...
Article
Full-text available
The COVID-19 pandemic has caused effects in many sectors, including in businesses and enterprises. The most vulnerable businesses to COVID-19 are micro, small, and medium enterprises (MSMEs). Therefore, this paper aims to analyze the business vulnerability of MSMEs in Indonesia using the fuzzy spatial clustering approach. The fuzzy spatial clusteri...
Article
Full-text available
Design: At the heart of time series forecasting, if nonlinear and nonstationary data are analyzed using traditional time series, the results will be biased. At the same time, if just using machine learning without any consideration given to input from traditional time series, not much information can be obtained from the results because the machine...
Article
Full-text available
Since COVID-19 spread to hundreds of countries, it has become a global pandemic. This pandemic is spreading rapidly through the human transmission. To reduce the spread of COVID-19, the government has issued various guidelines regarding restrictions on human activity. Jakarta and West Java are two provinces that had a fairly high rate of spread whe...
Article
Full-text available
Background and objectives: The impacts of COVID-19 are like two sides of one coin. Dur- ing 2020, there were many research papers that proved our environmental and climate conditions were improving due to lockdown or large-scale restriction regulations. In contrast, the economic conditions deteriorated due to disruption in industry business activit...
Article
Full-text available
Purpose ― Zakāh during the COVID-19 outbreak has played a vital role and has been significantly discussed in the virtual environment. Such information about zakāh in the virtual world provides unstructured data, which contains important information and knowledge. This paper aims to discover knowledge related to zakāh administration during the pande...
Article
Full-text available
Design: Health issues throughout the sustainable development goals have also been integrated into one ultimate goal, which helps to ensure a healthy lifestyle as well as enhances well-being for any and all human beings of all social level. Meanwhile, regarding the clime change, we may take urgent action to its impacts. Purpose: Nowadays, climate ch...
Article
Full-text available
Adolescents from families of 3 different SES groups (Low, Medium and High) have scored their Mother and Father using the format of the Bandung Family Relations Test (BFRT). The sample consisted of 349 pupils from primary and secondary schools in Bandung (Indonesia) selected by a stratified cluster design. In order to find out whether the model of t...
Article
Full-text available
The exposure rate to air pollution in most urban cities is really a major concern because it results to a life-threatening consequence for human health and wellbeing. Furthermore, the accurate estimation and continuous forecasting of pollution levels is a very complicated task. In this paper, one of the space-temporal models, a vector autoregressiv...
Article
Full-text available
Implement and enhance the performance of spatial fuzzy clustering using Fuzzy Geo- graphically Weighted Clustering with various optimization algo- rithms, mainly from Xin She Yang (2014) with book entitled Nature- Inspired Optimization Algorithms. The optimization algorithm is useful to tackle the disadvan- tages of clustering inconsistency when us...
Preprint
Full-text available
Background: In the heart data mining and machine learning, dimension reduction is needed to remove the multicollinearity. Meanwhile, it has been proven to improves the interpretation of the parameter model. In addition, dimension reduction is also can increase the time of computing in high dimensional data. Methods: In this paper, we perform high d...
Article
Full-text available
Interdisciplinary and cross-cultural studies of the impacts of environment and social vulnerability must be undertaken to address the problem of social vulnerability in the foreseeable future. Scientist or social scientists should first continuously strive towards approaches can integrate municipal technological expertise, experiences, knowledge, p...
Article
Full-text available
One of information needed in weather forecast is air temperature. This value might change any time. Prediction of air temperature is very valuable for some communities and occasions. Therefore, high accuracy prediction is needed. Since the information about air temperature might vary over time, it is necessary to implement methods that can adapt to...
Article
Full-text available
BACKGROUND AND OBJECTIVES: The classification of marine animals as protected species makes data and information on them to be very important. Therefore, this led to the need to retrieve and understand the data on the event counts for stranded marine animals based on location emergence, number of individuals, behavior, and threats to their presence....
Conference Paper
Full-text available
Global warming arising from climate change can increase the spread of deadly diseases. Effort is needed to develop a set of policies for the government to stem or reduce health risks from global warming. The purpose of this paper is to examine more detail and comprehensively about the relationship among climate and event disease count in Taiwan usi...
Conference Paper
Full-text available
Support Vector Regression (SVR) is often used in forecasting. Adjustment of parameters in the SVR affects the results of forecasting. This study aims to analyze the SVR method that is optimized using Harris Hawks Optimization (HHO), hereinafter referred to as HHO-SVR. The HHO-SVR was evaluated using five benchmark datasets to determine the performa...
Article
Full-text available
Global warming arising from climate change can increase the spread of deadly diseases. Effort is needed to develop a set of policies for the government to stem or reduce health risks from global warming. The purpose of this paper is to examine more detail and comprehensively about the relationship among climate and event disease count in Taiwan usi...
Article
Full-text available
Support Vector Regression (SVR) is often used in forecasting. Adjustment of parameters in the SVR affects the results of forecasting. This study aims to analyze the SVR method that is optimized using Harris Hawks Optimization (HHO), hereinafter referred to as HHO-SVR. The HHO-SVR was evaluated using five benchmark datasets to determine the performa...
Article
Full-text available
The relation between inflation and economic growth is interesting to observe. To maintain the inflation rate, two factors should be taken into account, namely keeping the economic pulse at its optimal rate and keeping people purchasing power from decreasing. Many factors influence the inflation and economic growth of a nation; one of which is natio...
Preprint
Full-text available
Islamic banks (IBs) have been criticized as not being genuinely Islamic, and the methods in measuring their performances have been debatable. While the literature on IBs performance has been emerging, such studies precisely assess its recent development remains absent. Therefore, we aim to evaluate the development of scholarly articles that measure...
Conference Paper
Full-text available
Global warming arising from climate change can increase the spread of deadly diseases. Effort is needed to develop a set of policies for the government to stem or reduce health risks from global warming. The purpose of this paper is to examine more detail and comprehensively about the relationship among climate and event disease count in Taiwan usi...
Conference Paper
Full-text available
Support Vector Regression (SVR) is often used in forecasting. Adjustment of parameters in the SVR affects the results of forecasting. This study aims to analyze the SVR method that is optimized using Harris Hawks Optimization (HHO), hereinafter referred to as HHO-SVR. The HHO-SVR was evaluated using five benchmark datasets to determine the performa...
Article
Full-text available
As the sharing economy has emerged, the way customer perceives the service is shifting toward a combination of offline and online. The need for the service provider to understand its nature as well as the pertinent aspects regarding its characteristics is crucial. Previous research validated the influence of perceived online and offline service qua...
Article
Full-text available
The decreasing area of mangroves is an ongoing problem since, between 1980 and 2005, one-third of the world’s mangroves were lost. Rehabilitation and restoration strategies are required to address this situation. However, mangroves do not always respond well to these strategies and have high mortality due to several growth limiting parameters. This...
Preprint
Full-text available
Research on the development of the number of sexual disease events is essential to do. This disease occurs in many developed countries, one of which is Taiwan. Sexual diseases known as HIV and AIDS can also cause other diseases such as Hepatitis B, Hepatitis C, Hepatitis D, Syphilis, Congenital Syphilis, and also Gonorrhea. In this paper, we will d...
Article
Full-text available
Trogloxenes particularly bats play an important role in subterranean habitat. They provide organic material and induce cave microclimate that influence cave-dwelling biota, including arthropods. This study aimed to learn how bats population influences cave-dwelling arthropods community. Data collections were performed in three caves which had diffe...
Article
Full-text available
Wind power has been experiencing a quick improvement. Without a doubt, wind is a variable asset that is hard to forecast. For instance, traditionally time series, extra holds are distributed to deal with this uncertainty. This paper presents a comparison of the performance of various Support Vector Regression (SVR) applied to short-term wind power...
Article
Full-text available
In the beginning, the pandemic panicked the people of Cibiru. Over time, the case fell in line with the increasing number of patients recovering. In addition, different views between elements of government make people surrender and believe in the power of nature's creator. Under these conditions, the researchers were interested in learning more. Th...
Article
Full-text available
Feature selection becomes prominent, especially in the data sets with many variables and features. It will eliminate unimportant variables and improve the accuracy as well as the performance of classification. Random Forest has emerged as a quite useful algorithm that can handle the feature selection issue even with a higher number of variables. In...
Article
Full-text available
Climate is an essential natural factor which is dynamic and challenging to predict. The accurate climate prediction is needed. In this paper, we use support vector regression (SVR) with different kernels such as polynomial, sigmoid and RBF. At the same time, we employ genetic algorithm, particle swarm optimization, and hybrid particle swarm optimiz...
Article
Full-text available
This study aims to detect whether patients examined are healthy, Coronavirus positive, or just have pneumonia based on chest X-ray data using Convolutional Neural Network method as feature extraction and Support Vector Machine as a classification method or called Convolutional Support Vector Machine. Experiments carried out were comparing the kerne...
Article
Full-text available
COVID-19 is designated as a pandemic disease by WHO and has a pervasive impact, especially in Indonesia. In this paper, we use Bayesian Poisson with MCMC to analyze the COVID-19 incidence in West Java Province, Indonesia. Our objective is to attain more Bayesian posterior information knowledge from of the events throughout COVID-19. To measure the...
Preprint
Full-text available
This paper already accepted in IAENG International Journal of Computer Science
Conference Paper
Full-text available
Background: The diversity of butterflies relies on the accessibility of food plants and the quality of their habitat. Methods: The purpose of this study was to evaluate the diversity butterfly based on latent GLM in 3 different Habitat. At the same time, we perform the step construction of Tweedie Distribution both in species levels and individual...
Article
Full-text available
Feature selection in the health sector is essential to do. Moreover, an analysis of which variables are indeed important that affect specific diseases. In the 20th century, many machine learning methods gave the confidence to get good accuracy, one of which was the Scalable Tree Boosting System (XGBoost). This technique is the development of Random...
Article
Full-text available
Effectively and efficiently learning an optimal kernel is of great importance to the success of kernel method. Along with this line of research, many pioneering kernel learning algorithms have been proposed, developed and combined in many ways. This paper aims to explain the application of Localized Multiple Kernel Learning Support Vector Machine (...
Article
Full-text available
A retrospective study of the abdominal aortic aneurysm (AAA) with EVAR treated patients. The third-party collected the data from twelve vascular centres in Indonesia during 2012-2017. Patient demographics and computed tomography data were evaluated with Osirix MD Software. During five years, we had 148 EVAR cases done using Endurant stent graft (Me...