Development of Population Data Cluster Application based on Real-time Expertise

Herry Lang, Dostenreyk Kantohe, Ottopianus Mellolo, Sonny Kasenda, Tracy Marcela

2021

Abstract

Population data is one of the information needed for sustainable development planning. Sustainable development is a planned development in all fields to create an ideal comparison between population development and the carrying capacity and capacity of the environment and to meet the needs of the current generation, without having to reduce the capabilities and needs of future generations, to support the life of the nation from generation to generation throughout time. Population data as essential regional data is relatively static, such as data on changes in migration between regions. Changes in the general structure of the population, socio-economic structure, vertical and horizontal population mobility are an essential part of population data collection and planning at the regional and national levels. Invalid population data is one of the weak points in implementing sustainable development in the regions. For example, in human resource planning, data is needed on the number of school-age population and workers. By incorporating population into the national economic and development strategy, sustainable development will accelerate by growing the workforce. As a result, development goals will be achieved more quickly. Information on population data in the city of Bitung is not efficient in its management. The data input process should be carried out at the unit closest to the community, such as the village. This application will be developed using PHP and MySQL. By using the mixing method, the application will be developed to the trial stage in real conditions. This application was created to classify the population’s expertise in real-time to support sustainable development in the city of Bitung in particular.

Paper Citation

in Harvard Style

Lang H., Kantohe D., Mellolo O., Kasenda S. and Marcela T. (2021). Development of Population Data Cluster Application based on Real-time Expertise. In Proceedings of the 4th International Conference on Applied Science and Technology on Engineering Science - Volume 1: iCAST-ES, ISBN 978-989-758-615-6, pages 613-618. DOI: 10.5220/0010949900003260

in Bibtex Style

@conference{icast-es21,
author={Herry Lang and Dostenreyk Kantohe and Ottopianus Mellolo and Sonny Kasenda and Tracy Marcela},
title={Development of Population Data Cluster Application based on Real-time Expertise},
booktitle={Proceedings of the 4th International Conference on Applied Science and Technology on Engineering Science - Volume 1: iCAST-ES,},
year={2021},
pages={613-618},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010949900003260},
isbn={978-989-758-615-6},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 4th International Conference on Applied Science and Technology on Engineering Science - Volume 1: iCAST-ES,
TI - Development of Population Data Cluster Application based on Real-time Expertise
SN - 978-989-758-615-6
AU - Lang H.
AU - Kantohe D.
AU - Mellolo O.
AU - Kasenda S.
AU - Marcela T.
PY - 2021
SP - 613
EP - 618
DO - 10.5220/0010949900003260