Implementation of Geographic Information System for District and City Poverty Data Distribution Using the Rational Unified Process in West Java

Authors

  • Agnia Dwi Khasanah Faculty of Engineering, Widyatama University, Bandung, Indonesia
  • R.A.E Virgana Targa Sapanji Faculty of Engineering, Widyatama University, Bandung, Indonesia

DOI:

https://doi.org/10.24191/jcrinn.v6i2.185

Keywords:

GIS, Geographical Information System, Geographic Information Systems, poverty, QGIS, Rational Unified Process

Abstract

Poverty is a fundamental problem that several districts and cities have, especially in West Java province. One important aspect to support the Poverty Reduction Strategy is the availability of poverty data that is accurate and on target with good visualization so that it can facilitate the data analysis process. A website-based Geographic Information System is the right solution for mapping the distribution of poverty data. Making this website using software development methods and the Rational Unified Process (RUP) with the Unified Modeling Language (UML) modeling language tool. For the maps, making process using Quantum GIS software and database storage using PostgreSQL. This website is expected to make it easier for the public to find the latest information and analyze poverty data, especially in districts and cities in West Java.

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Author Biographies

Agnia Dwi Khasanah, Faculty of Engineering, Widyatama University, Bandung, Indonesia

Agnia Dwi Khasanah

Department of Information Systems, Faculty of Engineering.
Widyatama University Bandung

Jl. Cikutra No.204A, Sukapada, Cibeunying Kidul District, Bandung City, West Java 40125, Indonesia

R.A.E Virgana Targa Sapanji, Faculty of Engineering, Widyatama University, Bandung, Indonesia

The lecturer of Information Systems Department, Faculty of Engineering, Widyatama University Bandung.

References

Akinyemi, F. O. (2005). Modelling income poverty in the Geographic Targeting Geo-Information System. Proceedings 2005 - The 8th AGILE International Conference on Geographic Information Science, AGILE 2005, January 2005.

Astrini, R., & Oswald, P. (2012). Modul Pelatihan Quantum GIS Tingkat Dasar Untuk Pemetaan Evakuasi Tsunami.

Badan Pusat Statistika Jawa Barat. (2019a). Kemiskinan Kabupaten / Kota Di Jawa Barat Tahun 2014-2019 (Bi. S. Sosial (ed.)). Badan Pusat Statistik Provinsi Jawa Barat. https://jabar.bps.go.id

Badan Pusat Statistika Jawa Barat. (2019b). Perkembangan Tingkat Kemiskinan Provinisi Jawa Barat September 2019 (B. S. Sosial (ed.)). Badan Pusat Statistik Provinsi Jawa Barat. https://jabar.bps.go.id

Ismail, A. (2017). Modul Pelatihan Pengolahan Data GeoSpasial Menggunakan Quantum GIS (Issue October). https://doi.org/10.31227/osf.io/4amxu

KALAYCIO?LU, M. (2006). POVERTY MAPPING WITH GEOGRAPHIC INFORMATION SYSTEMS?: A CASE STUDY IN KEÇ?ÖREN DISTRICT, ANKARA. Global Shadows: Africa in the Neoliberal World Order, 44(2), 8–10.

Kruchten, P. (2014). The Rational Unified Process--An Introduction. Rational Software, May. https://www.researchgate.net/publication/220018149

Sousa, T. C. de, Kelvin, L., Dias Neto, C., & Giovanni N. de Carvalho, C. (2017). A Formal Semantics for Use Case Diagram Via Event-B. Journal of Software, 12(4), 189–200. https://doi.org/10.17706/jsw.12.3.189-200

Statistik, B. P. (2020). Provinsi Jawa Barat Dalam Angka 2020. In BPS Jawa Barat. Badan Pusat Statistik Provinsi Jawa Barat.

Website Link: http://bit.ly/SIGKJABAR

Online Maps (QGIS Cloud) Link: http://bit.ly/QGIS_PJABAR

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Published

2021-09-01

How to Cite

Agnia Dwi Khasanah, & R.A.E Virgana Targa Sapanji. (2021). Implementation of Geographic Information System for District and City Poverty Data Distribution Using the Rational Unified Process in West Java. Journal of Computing Research and Innovation, 6(2), 11–20. https://doi.org/10.24191/jcrinn.v6i2.185

Issue

Section

General Computing