Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal Journal of Current Studies in SDGs Journal of Current Studies in SDGs Theta: Journal of Statistics
Syukron Faiz
Universitas Sultan Ageng Tirtayasa
Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Environmental Science Social Sciences Other

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
Analysis of the Spatial Distribution Pattern of Poverty Percentage in Central Java in 2024 Using the Spatial Autocorrelation Approach Miftahus Sholihin; Gustriza Erda; Putri Dina Sari; Agung Satrio Wicaksono; Atia Sonda; Muhammad Fabian Reinhard Delano; Syukron Faiz
Theta: Journal of Statistics Vol 1, No 1 (2025): Available Online in March 2025
Publisher : Faculty of Engineering, Univesitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62870/tjs.v1i1.31320

Abstract

Poverty remains a critical socio-economic issue in Central Java, Indonesia, exhibiting significant regional disparities. This study aims to analyze the spatial distribution pattern of poverty rates in Central Java in 2024 using a spatial autocorrelation approach with an inverse distance weight matrix. Secondary data from the Central Bureau of Statistics (BPS) of Central Java is utilized, covering poverty percentages across regencies and cities. The analysis method involves Moran’s I to assess global spatial autocorrelation and Local Indicators of Spatial Association (LISA) to identify local spatial clusters. The findings indicate a positive Moran’s I value, suggesting a significant spatial dependence in poverty distribution. Several high-poverty clusters are identified in specific regions, confirming spatial concentration patterns. The study highlights that regional proximity influences poverty rates, where areas with high poverty tend to be surrounded by regions with similar conditions. These results provide empirical evidence for policymakers to design targeted poverty alleviation programs based on spatial characteristics. The study concludes that understanding spatial autocorrelation in poverty distribution is crucial for formulating effective regional development policies and reducing socio-economic disparities.
Improved Data Visualization Capability Using Microsoft Excel for Teachers Faula Arina; Mukhtar Mukhtar; Rafli Priyantama Ramadhan Bagaskara; Syukron Faiz; Muhammad Fabian Reinhard Delano
Journal of Current Studies in SDGs Vol. 3 No. 2 (2027): June
Publisher : Sekolah Tinggi Agama Islam Sabilul Muttaqin Mojokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63230/jocsis.3.2.188

Abstract

Abstract. The digital era demands that all institutional infrastructure components must be able to adapt so that the management of their activities is effective and efficient. However, the lack of knowledge and skills of teachers at the Fajrul Karim Islamic Boarding School in operating Excel is a major obstacle. Data visualization is one method of conveying information studied in statistics. The Excel training provided aims to provide an understanding regarding the application of statistical methods with Excel and its visualization so that teachers at the Fajrul Karim Serang Banten Islamic boarding school can better understand student grades. The material covered includes data organization, descriptive statistics, pivots, and an introduction to charts. As a result of the training provided, training participants were able to visualize student value data. The program results obtained are increased knowledge and skills in analyzing and visualizing data based on statistics and Excel.
Improved Data Visualization Capability Using Microsoft Excel for Teachers Faula Arina; Mukhtar Mukhtar; Rafli Priyantama Ramadhan Bagaskara; Syukron Faiz; Muhammad Fabian Reinhard Delano
Journal of Current Studies in SDGs Vol. 3 No. 2 (2027): June
Publisher : Sekolah Tinggi Agama Islam Sabilul Muttaqin Mojokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63230/jocsis.3.2.188

Abstract

Abstract. The digital era demands that all institutional infrastructure components must be able to adapt so that the management of their activities is effective and efficient. However, the lack of knowledge and skills of teachers at the Fajrul Karim Islamic Boarding School in operating Excel is a major obstacle. Data visualization is one method of conveying information studied in statistics. The Excel training provided aims to provide an understanding regarding the application of statistical methods with Excel and its visualization so that teachers at the Fajrul Karim Serang Banten Islamic boarding school can better understand student grades. The material covered includes data organization, descriptive statistics, pivots, and an introduction to charts. As a result of the training provided, training participants were able to visualize student value data. The program results obtained are increased knowledge and skills in analyzing and visualizing data based on statistics and Excel.
Co-Authors Agung Satrio Wicaksono Arina, Faula Atia Sonda Gustriza Erda Miftahus Sholihin Muhammad Fabian Reinhard Delano Mukhtar Mukhtar Putri Dina Sari Rafli Priyantama Ramadhan Bagaskara