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Application of ICT to Support Sustainable Fisheries Management: Bali Sardine Fishery, Indonesia
https://ipsj.ixsq.nii.ac.jp/records/217744
https://ipsj.ixsq.nii.ac.jp/records/2177449b30c158-3f86-4cc2-9b8d-5a1c7a38c759
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Copyright (c) 2022 by the Information Processing Society of Japan
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オープンアクセス |
Item type | Trans(1) | |||||||||||||
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公開日 | 2022-04-15 | |||||||||||||
タイトル | ||||||||||||||
タイトル | Application of ICT to Support Sustainable Fisheries Management: Bali Sardine Fishery, Indonesia | |||||||||||||
タイトル | ||||||||||||||
言語 | en | |||||||||||||
タイトル | Application of ICT to Support Sustainable Fisheries Management: Bali Sardine Fishery, Indonesia | |||||||||||||
言語 | ||||||||||||||
言語 | eng | |||||||||||||
キーワード | ||||||||||||||
主題Scheme | Other | |||||||||||||
主題 | [特集号投稿論文] smart fisheries, data digitalization, stock analysis | |||||||||||||
資源タイプ | ||||||||||||||
資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||||||||||
資源タイプ | journal article | |||||||||||||
著者所属 | ||||||||||||||
Graduate School of Systems Information Science, Future University Hakodate/Center for Fisheries Research | ||||||||||||||
著者所属 | ||||||||||||||
Institute for Marine Research and Observation | ||||||||||||||
著者所属 | ||||||||||||||
Center for Fisheries Research | ||||||||||||||
著者所属 | ||||||||||||||
Future University Hakodate | ||||||||||||||
著者所属(英) | ||||||||||||||
en | ||||||||||||||
Graduate School of Systems Information Science, Future University Hakodate / Center for Fisheries Research | ||||||||||||||
著者所属(英) | ||||||||||||||
en | ||||||||||||||
Institute for Marine Research and Observation | ||||||||||||||
著者所属(英) | ||||||||||||||
en | ||||||||||||||
Center for Fisheries Research | ||||||||||||||
著者所属(英) | ||||||||||||||
en | ||||||||||||||
Future University Hakodate | ||||||||||||||
著者名 |
Mohamad, Natsir
× Mohamad, Natsir
× Romy, Ardianto
× Reny, Puspasari
× Masaaki, Wada
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著者名(英) |
Mohamad, Natsir
× Mohamad, Natsir
× Romy, Ardianto
× Reny, Puspasari
× Masaaki, Wada
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論文抄録 | ||||||||||||||
内容記述タイプ | Other | |||||||||||||
内容記述 | Information and communication technology (ICT) has become a potent tool with practical applications in various sectors, including security, transportation, agriculture, and fisheries. This paper describes the implementation and potential application of ICT to support sustainable fisheries management in sardine fishery in Bali, Indonesia. Generally, the adaptive management framework in fisheries management consists of data collection, stock assessment, management procedures, management measure development and implementation, monitoring, and evaluation. In every step of the adaptive management process, ICT can be applied. A conceptual framework and its application in the Bali Strait reveal the successful utilization of ICT to generate digital capture fisheries data through participatory data collection using the MICT-L (Marine ICT-Landing) digital catch landing data recorder, IoT (Internet of Things) GPS tracking devices, and a newly established online database. Digitalizing capture fisheries data is important to achieve robust stock assessment and to guide policy recommendations and management measures based on key indicators, such as total allowable catch (TAC) and spatial catch productivity. Furthermore, to emphasize the practical implications of our results, we describe how the system increases engagement by fisheries managers and other stakeholders and improves understanding and awareness about sustainable fish resource utilization by displaying indicators in a smart dashboard for daily monitoring. We also describe technical constraints and issues during system implementation such as GPS tracker transmission problems as well as non-technical considerations such as the willingness of fishers to participate, which is important to achieve successful implementation. ------------------------------ This is a preprint of an article intended for publication Journal of Information Processing(JIP). This preprint should not be cited. This article should be cited as: Journal of Information Processing Vol.30(2022) (online) ------------------------------ |
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論文抄録(英) | ||||||||||||||
内容記述タイプ | Other | |||||||||||||
内容記述 | Information and communication technology (ICT) has become a potent tool with practical applications in various sectors, including security, transportation, agriculture, and fisheries. This paper describes the implementation and potential application of ICT to support sustainable fisheries management in sardine fishery in Bali, Indonesia. Generally, the adaptive management framework in fisheries management consists of data collection, stock assessment, management procedures, management measure development and implementation, monitoring, and evaluation. In every step of the adaptive management process, ICT can be applied. A conceptual framework and its application in the Bali Strait reveal the successful utilization of ICT to generate digital capture fisheries data through participatory data collection using the MICT-L (Marine ICT-Landing) digital catch landing data recorder, IoT (Internet of Things) GPS tracking devices, and a newly established online database. Digitalizing capture fisheries data is important to achieve robust stock assessment and to guide policy recommendations and management measures based on key indicators, such as total allowable catch (TAC) and spatial catch productivity. Furthermore, to emphasize the practical implications of our results, we describe how the system increases engagement by fisheries managers and other stakeholders and improves understanding and awareness about sustainable fish resource utilization by displaying indicators in a smart dashboard for daily monitoring. We also describe technical constraints and issues during system implementation such as GPS tracker transmission problems as well as non-technical considerations such as the willingness of fishers to participate, which is important to achieve successful implementation. ------------------------------ This is a preprint of an article intended for publication Journal of Information Processing(JIP). This preprint should not be cited. This article should be cited as: Journal of Information Processing Vol.30(2022) (online) ------------------------------ |
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書誌レコードID | ||||||||||||||
収録物識別子タイプ | NCID | |||||||||||||
収録物識別子 | AA12894091 | |||||||||||||
書誌情報 |
情報処理学会論文誌デジタルプラクティス(TDP) 巻 3, 号 2, 発行日 2022-04-15 |
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ISSN | ||||||||||||||
収録物識別子タイプ | ISSN | |||||||||||||
収録物識別子 | 2435-6484 | |||||||||||||
出版者 | ||||||||||||||
言語 | ja | |||||||||||||
出版者 | 情報処理学会 |