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Abstract

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This research aims to improve the population service system which is optimal in supporting electronic government in Sumbawa Regency. In software development using the waterfall model and desktop-based Programming with Visual Studio and SQL Server as a Database Management System. The system testing method uses the Black Box Method, a test that focuses on the functional requirements of the software. The results of the research can be used easily, quickly, and useful for processing population data so that it can provide optimal service. This system has been used at the Luk Village Office (Rhee District) in improving service to the community optimally.

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Key topics
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Electronic government;
SQL Server;
Software development
Subject
Data base management systems;
Electronic government;
Software;
Computer programs;
Visual programming languages;
Software development;
Waterfalls;
Query languages;
Optimization
Identifier / keyword
Electronic government; SQL Server; Software development
Title
Desktop-Based Population Data Information System to Support The Sumbawa Electronic Government in Rhee District
Author
Hidayatullah, Muhammad 1 ; Fery Hendrawan 2 ; Titi Andriani 1 ; Esabella, Shinta 2 ; Nurhairunnisah 3 

1  Department of Electrical Engineering, Faculty of Engineering, Universitas Teknologi Sumbawa, Indonesia, 84371 
2  Department of Informatics, Faculty of Engineering, Universitas Teknologi Sumbawa, Indonesia, 84371 
3  Department of Educational Technology, Faculty of Education, Universitas Samawa,Indonesia, 84316 
Publication title
IOP Conference Series. Earth and Environmental Science; Bristol
Volume
396
Issue
1
Publication year
2019
Publication date
Nov 2019
Publisher
IOP Publishing
Place of publication
Bristol
Country of publication
United Kingdom
Publication subject
Environmental Studies
ISSN
17551307
e-ISSN
17551315
Source type
Scholarly Journal
Language of publication
English
Document type
Journal Article
Publication history
 
 
Online publication date
2019-12-11
Milestone dates
2019-11-01 (openaccess)
Publication history
 
 
   First posting date
11 Dec 2019
DOI
https://doi.org/10.1088/1755-1315/396/1/012032
ProQuest document ID
2558242433
Document URL
https://www.proquest.com/scholarly-journals/desktop-based-population-data-information-system/docview/2558242433/se-2?accountid=208611
Copyright
© 2019. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Last updated
2024-10-07
Database
ProQuest One Academic