Article Per Year (5 Year)
p-Index From 2020 - 2025
0.61
P-Index
This Author published in this journals
All Journal Desimal: Jurnal Matematika Dharma Bakti ComTech: Computer, Mathematics and Engineering Applications Community Empowerment
Rokhana Dwi Bekti, Rokhana Dwi
Unknown Affiliation
Arts Humanities Computer Science & IT Education Engineering Mathematics Public Health Social Sciences Other

Published : 6 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search
Journal : ComTech: Computer, Mathematics and Engineering Applications

 1 
Autokorelasi Spasial untuk Identifikasi Pola Hubungan Kemiskinan di Jawa Timur Bekti, Rokhana Dwi
ComTech: Computer, Mathematics and Engineering Applications Vol 3, No 1 (2012): ComTech
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/comtech.v3i1.2404

Abstract

Spatial autocorrelation is a spatial analysis to determine the relationship pattern or correlation among some locations (observation). On the poverty case of East Java, this method will provide important information for analyze the relationship of poverty characteristics in each district or cities. Therefore, in this research performed spatial autocorrelation analysis on the data of East Java’s poverty. The method used is moran's I test and Local Indicator of Spatial Autocorrelation (LISA). The analysis showed that by the moran's I test, there is spatial autocorrelation found in the percentage of poor people amount in East Java, both in 2006 and 2007. While by LISA, obtained the conclusion that there is a significant grouping of district or cities.
Analisis Faktor yang Mempengaruhi Angka Buta Huruf Melalui Geographically Weighted Regression: Studi Kasus Propinsi Jawa Timur Andiyono, Andiyono; Bekti, Rokhana Dwi; Irwansyah, Edy
ComTech: Computer, Mathematics and Engineering Applications Vol 4, No 1 (2013): ComTech
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/comtech.v4i1.2788

Abstract

Analysis of factors that influence the rate of illiteracy can provide important information for education. One such factor is the development of information and communication technology (ICT). Characteristics of illiteracy in East Java showes a spatial pattern. Therefore, to obtain the influencing factors Geographically Weighted Regression spatial modeling (GWR) is utilized. Modeling results indicate that the factors that influence the rate of illiteracy in every location are different. In general, factors influencing literacy rate is the percentage of households which have mobile phone and the percentage of households which access the internet at home. 
Model Persamaan Simultan pada Analisis Hubungan Kemiskian dan PDRB Bekti, Rokhana Dwi; David, David; N, Gita; Priscillia, Priscillia; Serlyana, Serlyana
ComTech: Computer, Mathematics and Engineering Applications Vol 5, No 2 (2014): ComTech
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/comtech.v5i2.2277

Abstract

Simultaneous model is a model for some equation which have simultaneous relationships. It was often found in econometrics, such as the relationship between Gross Domestic Regional Product (GDRP) and poverty. GDP is a common indicator that can be used to determine the economic growth occurred in region. Meanwhile, poverty is one of the indicators to measure the society welfare. Information about these relathionships were important to perform the relathionsips between GDP and poverty. So this research conducted an analysis to obtain simultaneous models between GDRP and poverty. Estimation of the parameters used is Two-Stage Least Squares Estimation (2SLS). The data used are 33 provinces in Indonesia at 2010. By α = 5%, it was conclude that variable which significant effect on GDRP is poverty, export, and import. Meanwhile, the variables that significantly affect poverty are population. The simultaneous model (α = 5%) also conclude that there is no simultaneous relationship between GDRP and poverty. However, with α = 25%, there is a simultaneous relationship between GDRP and poverty.
Co-Authors Al Ayyubi, Muhammad ANDIYONO, ANDIYONO Astuti, Febriani Azzahra, Icha Br Keliat, Aurora Arianita C. L Putri, Khatarine Chanelius Laumay, Petrus Daton Balamakin, Virgilius David David Edy Irwansyah N, Gita Nidia Lestari Prabowo, Fajar Yulianto Priscillia, Priscillia Purnawan Purnawan Roslita Ina Mahala, Maria Sebo, Theodorina Inya Serlyana, Serlyana Utama, Made Andy Wira Valensi Kautsar, Valensi