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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Main Authors: Fabianus Kevin Senduk, Retno Waluyo, Khairunnisak Nur Isnaini
Format: Article
Language:Indonesian
Published: Islamic University of Indragiri 2025-05-01
Series:Sistemasi: Jurnal Sistem Informasi
Subjects:
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.
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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