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All Journal ESTIMASI: Journal of Statistics and Its Application Majalah Ilmiah Matematika dan Statistika (MIMS) Multi Proximity: Jurnal Statistika Universitas Jambi Journal of Demography, Etnography, and Social Transformation
Aslanargun, Atilla
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Humanities Environmental Science Mathematics Social Sciences

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Text Mining: Absolute Advantage Research at Scopus Mubarak, Fadhlul; Aslanargun, Atilla; Sundara, Vinny Yuliani; Nurniswah, Nurniswah
ESTIMASI: Journal of Statistics and Its Application Vol. 5, No. 2, Juli, 2024 : Estimasi
Publisher : Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20956/ejsa.v5i2.21896

Abstract

This study aims to collect scopus indexed articles with the keyword absolute advantage in 2020, 2021, and 2022 (until July 15, 2022). In addition, we analyzed the text mining of several abstracts from these articles using the R software. we used 75 articles from top 3 journals that have most publications based on the keyword including the Journal of Cleaner Production, the Journal of Chemical Engineering, and the Journal of Applied Soft Computing. Based on data mining analysis, the word-cloud of each abstract automatically appears based on the frequency of each word that appears in the abstract.
Locf imputation for Astra Agro Lestari Tbk. (Indonesia) and Anadolu Group (Turkey) stock Mubarak, Fadhlul; Aslanargun, Atilla; Sundara, Vinny Yuliani
Majalah Ilmiah Matematika dan Statistika Vol 22 No 2 (2022): Majalah Ilmiah Matematika dan Statistika
Publisher : Jurusan Matematika FMIPA Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/mims.v22i2.32305

Abstract

This study aims to apply time series graphs on stock of Astra Agro Lestari Tbk. and Anadolu Group with last observation carried forward (LOCF) imputation. The imputation was used because the data for the two companies had missing values on several dates. Missing value contained in the company Astra Agro Lestari Tbk. in Indonesia more than Anadolu Group in Turkey because of the difference in the number of holidays. Original data and data with complete dates are combined to form new data where missing values are seen on certain dates. The function used in the R program to form the graph is xts. However, the Date variable has a character class so it needs to be changed to the Date class. The xts function will error if the class is not changed. The modification also causes the horizontal axis of the graph to be replaced by the date. Based on the chart of stock prices and transaction volume of stock of the company Astra Agro Lestari Tbk. and Anadolu Group experienced increases, decreases, and is constant on several dates. Keywords: missing value, R programming, stock prices, transaction volume. MSC2020: 62M10, 91B84, 62-04
The Best Moving Average Smoothing for GSTAR Model with Missing Value Mubarak, Fadhlul; Sundara, Vinny Yuliani; Aslanargun, Atilla
Multi Proximity: Jurnal Statistika Vol. 3 No. 2 (2024): Multi Proximity: Jurnal Statistika
Publisher : Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/multiproximity.v3i2.32274

Abstract

This research identified the best imputation technique for the price of gold in Turkey, Saudi Arabia, and Indonesia which has been applied to the GSTAR model based on the smallest RMSE value. The moving average smoothing technique with k = 2, 3, 4, and 5 have been used in this study. However, the moving average smoothing technique with k = 3 is the best technique for importing gold price data during weekends in Turkey, Saudi Arabia, and Indonesia.
Village Potential Statistics (PODES): Visualization of Schools in Jambi Province with Statistical Programming (R) Mubarak, Fadhlul; Aslanargun, Atilla; Sundara, Vinny Yuliani
DEMOS: Journal of Demography, Ethnography and Social Transformation Vol. 2 No. 2 (2022): Journal of Demography, Etnography and Social Transformation
Publisher : LPPM UIN SULTHAN THAHA SAIFUDDIN JAMBI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30631/demos.v2i2.1333

Abstract

One of the primary data that can be used in research is village potential statistics (PODES). The data was obtained based on research in a certain period by the Statistics Indonesia (BPS). This study aims to visualize the percentage of schools in each city/district in Jambi Province using R programming based on PODES data in 2014 and 2019. In this study, we not only visualize but also how to build attractive graphics and arrange them starting from windows, graphic size, dimensions, color, horizontal axis, vertical axis, and others. Of course, the graph produced in this study is different from the basic plot found in the R program, although the process carried out is also more complicated. From 2014 to 2019, in general, within a period of 5 years there has been an increase in the number of schools in each city/district in Jambi Province. However, from the university level, the number decreased. In 2014 the number of universities in Jambi City was 32 but in 2019 the number decreased to 24. There are even interesting things in Kerinci and Tebo district. In 2014 there were no universities listed, while in 2019 there were 3. This also affects the percentage of education level in each city/district.
Co-Authors Mubarak, Fadhlul Nurniswah, Nurniswah Sundara, Vinny Yuliani