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Modeling e-Livestock Indonesia

The demand for beef resources in Indonesia is always increasing every year. However, Indonesia's national beef supply cannot meet those needs. The import of beef in large numbers likely to remain performed. The government has made various efforts to reduce imports and achieve self-sufficiency i...

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Autores principales: Ramadhan, Arief, Arymurthy, Aniati Murni, Sensuse, Dana Indra, Muladno
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8379459/
https://www.ncbi.nlm.nih.gov/pubmed/34458605
http://dx.doi.org/10.1016/j.heliyon.2021.e07754
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author Ramadhan, Arief
Arymurthy, Aniati Murni
Sensuse, Dana Indra
Muladno
author_facet Ramadhan, Arief
Arymurthy, Aniati Murni
Sensuse, Dana Indra
Muladno
author_sort Ramadhan, Arief
collection PubMed
description The demand for beef resources in Indonesia is always increasing every year. However, Indonesia's national beef supply cannot meet those needs. The import of beef in large numbers likely to remain performed. The government has made various efforts to reduce imports and achieve self-sufficiency in beef. However, the government does not yet have a good identification, registration, documentation, and traceability system, so there is no truly valid data regarding the actual stock condition. Inaccuracy of data can lead to inappropriate policymaking in the livestock sector. Therefore, an e-Government initiative in the form of e-Livestock has been proposed. The definitions and success factors regarding e-Livestock have been revealed in our previous researches. Based on those researches, by using soft system methodology, hermeneutics, focus group discussion, and success factors, the business process models for e-Livestock in Indonesia will be created in this research. Apart from that, various kinds of recommendations for action to solve the problem will also be generated from this research. Those recommendations are about the functional requirement, the identification tool, the location numbering rule, the ownership documentation, the socialization of the e-Livestock, the institutional aspect of e-Livestock, the regulations underlie e-Livestock and the conceptual infrastructure diagram of e-Livestock. All of the business process models produced have been validated and their complexities are also calculated. Most of the business process model is very easy to understand. All the business process models and recommendations generated from this research can be a guide for the government when implementing e-Livestock.
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spelling pubmed-83794592021-08-26 Modeling e-Livestock Indonesia Ramadhan, Arief Arymurthy, Aniati Murni Sensuse, Dana Indra Muladno Heliyon Research Article The demand for beef resources in Indonesia is always increasing every year. However, Indonesia's national beef supply cannot meet those needs. The import of beef in large numbers likely to remain performed. The government has made various efforts to reduce imports and achieve self-sufficiency in beef. However, the government does not yet have a good identification, registration, documentation, and traceability system, so there is no truly valid data regarding the actual stock condition. Inaccuracy of data can lead to inappropriate policymaking in the livestock sector. Therefore, an e-Government initiative in the form of e-Livestock has been proposed. The definitions and success factors regarding e-Livestock have been revealed in our previous researches. Based on those researches, by using soft system methodology, hermeneutics, focus group discussion, and success factors, the business process models for e-Livestock in Indonesia will be created in this research. Apart from that, various kinds of recommendations for action to solve the problem will also be generated from this research. Those recommendations are about the functional requirement, the identification tool, the location numbering rule, the ownership documentation, the socialization of the e-Livestock, the institutional aspect of e-Livestock, the regulations underlie e-Livestock and the conceptual infrastructure diagram of e-Livestock. All of the business process models produced have been validated and their complexities are also calculated. Most of the business process model is very easy to understand. All the business process models and recommendations generated from this research can be a guide for the government when implementing e-Livestock. Elsevier 2021-08-13 /pmc/articles/PMC8379459/ /pubmed/34458605 http://dx.doi.org/10.1016/j.heliyon.2021.e07754 Text en © 2021 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Article
Ramadhan, Arief
Arymurthy, Aniati Murni
Sensuse, Dana Indra
Muladno
Modeling e-Livestock Indonesia
title Modeling e-Livestock Indonesia
title_full Modeling e-Livestock Indonesia
title_fullStr Modeling e-Livestock Indonesia
title_full_unstemmed Modeling e-Livestock Indonesia
title_short Modeling e-Livestock Indonesia
title_sort modeling e-livestock indonesia
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8379459/
https://www.ncbi.nlm.nih.gov/pubmed/34458605
http://dx.doi.org/10.1016/j.heliyon.2021.e07754
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