Open AccessDevelopment of Digital Map System for Poor Population Distribution
Author(s) -
Wahyu Yanuartha,
M. Najmul Fadli,
Tina Tri Wulansari,
Abiratno,
Nariza Wanti Wulan Sari,
Martinus Robert Hutauruk
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1807/1/012018
Subject(s) - residence , scripting language , computer science , population , visualization , world wide web , graph , poverty , geography , information retrieval , database , cartography , data mining , sociology , economics , economic growth , demography , theoretical computer science , operating system
The implementation of this study aims to present information not only in the text/tabular form but also in the spatial/digital map form to support the poverty alleviation programs in East Kalimantan, especially in Samarinda and Balikpapan, hence information obtained can be more easily analyzed, identified in terms of the poor population distribution in the visualization form. It presented as a list an area, graph, detail data and geographical map integrated with Google Maps. This application was developed using PHP scripts, Apache Webserver, Codeigniter Framework, CCS Bootstrap, MySQL database, and google maps API. Poor data collected from the Central Bureau of Statistics and the results of the survey through questioner and interview respondents. The information presented in this system is the resident name, identification number, address, employment, income, education, residence status and photo of living conditions/person.