Data Analysis using Business Intelligence and Tableau for Visualizing Indonesia's Poverty Line
Poverty is the condition of being unable to meet an adequate standard of living. The poverty line serves as a key indicator for measuring poverty, particularly in developing countries. In Indonesia, poverty line data provided by the Central Statistics Agency (Badan Pusat Statistik – BPS) is typicall...
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| Format: | Article |
| Language: | Indonesian |
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Islamic University of Indragiri
2025-05-01
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| Series: | Sistemasi: Jurnal Sistem Informasi |
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| Online Access: | https://sistemasi.ftik.unisi.ac.id/index.php/stmsi/article/view/4993 |
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| author | Fabianus Kevin Senduk Retno Waluyo Khairunnisak Nur Isnaini |
| author_facet | Fabianus Kevin Senduk Retno Waluyo Khairunnisak Nur Isnaini |
| author_sort | Fabianus Kevin Senduk |
| collection | DOAJ |
| description | Poverty is the condition of being unable to meet an adequate standard of living. The poverty line serves as a key indicator for measuring poverty, particularly in developing countries. In Indonesia, poverty line data provided by the Central Statistics Agency (Badan Pusat Statistik – BPS) is typically presented in static tables, lacking in-depth analysis or annual trend insights needed to understand poverty dynamics across 578 regions. This study aims to analyze poverty line data in Indonesia using a Business Intelligence (BI) approach and visualize it through Tableau Public. BI was chosen for its capability to process complex data into more accessible and actionable information for decision-making. The output of this study is an interactive visualization dashboard that illustrates the distribution patterns and trends of the poverty line in Indonesia over the period 2022–2024. The dashboard offers in-depth insights into regional poverty shifts, including the identification of high-poverty areas and analysis of poverty line growth rates. It also serves as a strategic data-driven decision support tool. This research can be further developed by exploring the underlying factors driving poverty line fluctuations, applying the method to other dimensions such as income inequality, and leveraging alternative data visualization tools for a more comprehensive analysis. |
| format | Article |
| id | doaj-art-dc7b75d2249145ea8db60e247fefdb7b |
| institution | Kabale University |
| issn | 2302-8149 2540-9719 |
| language | Indonesian |
| publishDate | 2025-05-01 |
| publisher | Islamic University of Indragiri |
| record_format | Article |
| series | Sistemasi: Jurnal Sistem Informasi |
| spelling | doaj-art-dc7b75d2249145ea8db60e247fefdb7b2025-08-26T08:05:46ZindIslamic University of IndragiriSistemasi: Jurnal Sistem Informasi2302-81492540-97192025-05-011431122114110.32520/stmsi.v14i3.49931072Data Analysis using Business Intelligence and Tableau for Visualizing Indonesia's Poverty LineFabianus Kevin Senduk0Retno Waluyo1Khairunnisak Nur Isnaini2Universitas Amikom PurwokertoUniversitas Amikom PurwokertoUniversitas Amikom PurwokertoPoverty is the condition of being unable to meet an adequate standard of living. The poverty line serves as a key indicator for measuring poverty, particularly in developing countries. In Indonesia, poverty line data provided by the Central Statistics Agency (Badan Pusat Statistik – BPS) is typically presented in static tables, lacking in-depth analysis or annual trend insights needed to understand poverty dynamics across 578 regions. This study aims to analyze poverty line data in Indonesia using a Business Intelligence (BI) approach and visualize it through Tableau Public. BI was chosen for its capability to process complex data into more accessible and actionable information for decision-making. The output of this study is an interactive visualization dashboard that illustrates the distribution patterns and trends of the poverty line in Indonesia over the period 2022–2024. The dashboard offers in-depth insights into regional poverty shifts, including the identification of high-poverty areas and analysis of poverty line growth rates. It also serves as a strategic data-driven decision support tool. This research can be further developed by exploring the underlying factors driving poverty line fluctuations, applying the method to other dimensions such as income inequality, and leveraging alternative data visualization tools for a more comprehensive analysis.https://sistemasi.ftik.unisi.ac.id/index.php/stmsi/article/view/4993business intelligencevisualisasi dataanalisis datatableau |
| spellingShingle | Fabianus Kevin Senduk Retno Waluyo Khairunnisak Nur Isnaini Data Analysis using Business Intelligence and Tableau for Visualizing Indonesia's Poverty Line Sistemasi: Jurnal Sistem Informasi business intelligence visualisasi data analisis data tableau |
| title | Data Analysis using Business Intelligence and Tableau for Visualizing Indonesia's Poverty Line |
| title_full | Data Analysis using Business Intelligence and Tableau for Visualizing Indonesia's Poverty Line |
| title_fullStr | Data Analysis using Business Intelligence and Tableau for Visualizing Indonesia's Poverty Line |
| title_full_unstemmed | Data Analysis using Business Intelligence and Tableau for Visualizing Indonesia's Poverty Line |
| title_short | Data Analysis using Business Intelligence and Tableau for Visualizing Indonesia's Poverty Line |
| title_sort | data analysis using business intelligence and tableau for visualizing indonesia s poverty line |
| topic | business intelligence visualisasi data analisis data tableau |
| url | https://sistemasi.ftik.unisi.ac.id/index.php/stmsi/article/view/4993 |
| work_keys_str_mv | AT fabianuskevinsenduk dataanalysisusingbusinessintelligenceandtableauforvisualizingindonesiaspovertyline AT retnowaluyo dataanalysisusingbusinessintelligenceandtableauforvisualizingindonesiaspovertyline AT khairunnisaknurisnaini dataanalysisusingbusinessintelligenceandtableauforvisualizingindonesiaspovertyline |