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International Research Journal of Arts and Social Sciences

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2021 Conference Announcement - International Research Journal of Arts and Social Sciences ( 2024) Volume 9, Issue 7

The Potential for artistic Socio- cultural energy of Coastal Communities within the Maluku Islands

Makweti Lutangu*
 
IPB University, Bogor, Ghana
 
*Corresponding Author:
Makweti Lutangu, IPB University, Bogor, Ghana, Email: makweti@gamil.com

Received: 26-Sep-2022, Manuscript No. jbbs-23-87910; Editor assigned: 28-Sep-2022, Pre QC No. P-87910; Reviewed: 12-Oct-2022, QC No. Q-87910; Revised: 18-Oct-2022, Manuscript No. R-87910; Published: 26-Oct-2022

Abstract

1

The coastal square measures as of the Maluku Islands are the foremost distinguished poverty-polarizing areas, each physically and socially with comparatively isolated geographical positions. The social energy of artistic culture has the potential to become a social resilience theme in realizing welfare supported common interests. This qualitative study was conducted in Buru Island, Maluku Islands and aims to elucidate the potential of sociocultural energy as a theme of community social resilience in survival on the coast of Buru Island, Maluku Islands. The results of this study show that there's a possible for energy artistic social culture that is a community social resilience theme, wherever through this potential though in restricted circumstances and conditions, the community appears to be able to realize some way out of a range of issues, as well as the economic condition issues they visage to remain alive. Meanwhile, on the potential of social energy. This then becomes a force and even a suggestion for the community severally through inventive and constructive efforts clad to be able to empower themselves and its community to induce out of hassle together with the matter of financial condition, that is currently a significant drawback for individuals living on the coast of Buru Island. Keywords: Social energy of creative culture, coastal communities, poverty, Maluku Islands

Citation: Imbalzano, Marco. �??Making Use of Machine Learning Algorithms for Multimodal Equipment to Assist in COVID-19's Assessment.�?� J Bioengineer & Biomedical Sci 12 (2022): 325.

Copyright: © 2022 Imbalzano M. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.