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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
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.
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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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