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Data Desa Presisi: A new method of rural data collection
Pseudo-development in rural areas often occurs due to the lack of availability of accurate data, in addition to the closed space for citizen participation. Based on this condition, we identify and evaluate various methods of collecting rural data in Indonesia as the basis for formulating development...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9526142/ https://www.ncbi.nlm.nih.gov/pubmed/36193116 http://dx.doi.org/10.1016/j.mex.2022.101868 |
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author | Sjaf, Sofyan Sampean Arsyad, Ahmad Aulia Elson, La Mahardika, Afan Ray Hakim, Lukman Amongjati, Sri Anom Gandi, Rajib Barlan, Zessy Ardinal Aditya, I Made Godya Maulana, Sayyid Al Bahr Rangkuti, Muhammad Rifky |
author_facet | Sjaf, Sofyan Sampean Arsyad, Ahmad Aulia Elson, La Mahardika, Afan Ray Hakim, Lukman Amongjati, Sri Anom Gandi, Rajib Barlan, Zessy Ardinal Aditya, I Made Godya Maulana, Sayyid Al Bahr Rangkuti, Muhammad Rifky |
author_sort | Sjaf, Sofyan |
collection | PubMed |
description | Pseudo-development in rural areas often occurs due to the lack of availability of accurate data, in addition to the closed space for citizen participation. Based on this condition, we identify and evaluate various methods of collecting rural data in Indonesia as the basis for formulating development policies and programs. From the results of the identification and evaluation, we conclude that a new method in rural data collection is needed, called Data Desa Presisi (DDP). DDP is a village data collection method that synthesizes a census, spatial and community participation approach. This method puts the unit of analysis of the family and the individual in the Neighborhood Association (Rukun Warga-RW) as the smallest regional unit in the rural area. The presence of DDP is expected to help villages to plan, implement, monitor, and evaluate village development based on accurate data. • We identified the village data collection methods used so far for planning and measuring village development. • DDP is used for precise planning, implementation, monitoring-evaluation, and measurement of village development. • This method can be used as basic village data because it is able to show development subjects with precision, namely: by name, by address and by coordinates. |
format | Online Article Text |
id | pubmed-9526142 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-95261422022-10-02 Data Desa Presisi: A new method of rural data collection Sjaf, Sofyan Sampean Arsyad, Ahmad Aulia Elson, La Mahardika, Afan Ray Hakim, Lukman Amongjati, Sri Anom Gandi, Rajib Barlan, Zessy Ardinal Aditya, I Made Godya Maulana, Sayyid Al Bahr Rangkuti, Muhammad Rifky MethodsX Method Article Pseudo-development in rural areas often occurs due to the lack of availability of accurate data, in addition to the closed space for citizen participation. Based on this condition, we identify and evaluate various methods of collecting rural data in Indonesia as the basis for formulating development policies and programs. From the results of the identification and evaluation, we conclude that a new method in rural data collection is needed, called Data Desa Presisi (DDP). DDP is a village data collection method that synthesizes a census, spatial and community participation approach. This method puts the unit of analysis of the family and the individual in the Neighborhood Association (Rukun Warga-RW) as the smallest regional unit in the rural area. The presence of DDP is expected to help villages to plan, implement, monitor, and evaluate village development based on accurate data. • We identified the village data collection methods used so far for planning and measuring village development. • DDP is used for precise planning, implementation, monitoring-evaluation, and measurement of village development. • This method can be used as basic village data because it is able to show development subjects with precision, namely: by name, by address and by coordinates. Elsevier 2022-09-20 /pmc/articles/PMC9526142/ /pubmed/36193116 http://dx.doi.org/10.1016/j.mex.2022.101868 Text en © 2022 The Author(s). Published by Elsevier B.V. https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Method Article Sjaf, Sofyan Sampean Arsyad, Ahmad Aulia Elson, La Mahardika, Afan Ray Hakim, Lukman Amongjati, Sri Anom Gandi, Rajib Barlan, Zessy Ardinal Aditya, I Made Godya Maulana, Sayyid Al Bahr Rangkuti, Muhammad Rifky Data Desa Presisi: A new method of rural data collection |
title | Data Desa Presisi: A new method of rural data collection |
title_full | Data Desa Presisi: A new method of rural data collection |
title_fullStr | Data Desa Presisi: A new method of rural data collection |
title_full_unstemmed | Data Desa Presisi: A new method of rural data collection |
title_short | Data Desa Presisi: A new method of rural data collection |
title_sort | data desa presisi: a new method of rural data collection |
topic | Method Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9526142/ https://www.ncbi.nlm.nih.gov/pubmed/36193116 http://dx.doi.org/10.1016/j.mex.2022.101868 |
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