Proceedings of the 4th International Conference on Innovative Research Across Disciplines (ICIRAD 2021)

Big Data for Indonesian Marine Fisheries

A Preliminary Research Plan

Authors
Ni Putu Novita Puspa Dewi1, *, I Putu Budhi Darma Purwanta2
1Computer Science Study Program, Universitas Pendidikan Ganesha, Singaraja, Indonesia
2Master Computer Science Study Program, Universitas Gadjah Mada, Yogyakarta, Indonesia
*Corresponding author. Email: novita.puspa.dewi@undiksha.ac.id
Corresponding Author
Ni Putu Novita Puspa Dewi
Available Online 21 December 2021.
DOI
10.2991/assehr.k.211222.040How to use a DOI?
Keywords
Big Data; Big Data Application; Oceanographic Data; Maritime Applications
Abstract

As a maritime country, Indonesia has a wider water area than the land area, but the number of fishermen has decreased every year which indicates the welfare of fishermen has also decreased. On the other hand, the growth and development of marine data from various institutions in Indonesia have increased rapidly, supported by streaming data. However, these data have not been managed optimally or just left alone. The data can be used to help the performance of the fishermen so that they can improve their standard of living. The huge and diverse amount of data requires the use of technology to extract data from many sources so as to analyze it in order to find potential problem-solving solutions. This study proposes an initial design for big data technology with an architecture designed to be able to overcome the problems of Indonesian marine fisheries.

Copyright
© 2021 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article under the CC BY-NC license.

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Volume Title
Proceedings of the 4th International Conference on Innovative Research Across Disciplines (ICIRAD 2021)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
21 December 2021
ISBN
10.2991/assehr.k.211222.040
ISSN
2352-5398
DOI
10.2991/assehr.k.211222.040How to use a DOI?
Copyright
© 2021 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Ni Putu Novita Puspa Dewi
AU  - I Putu Budhi Darma Purwanta
PY  - 2021
DA  - 2021/12/21
TI  - Big Data for Indonesian Marine Fisheries
BT  - Proceedings of the 4th International Conference on Innovative Research Across Disciplines (ICIRAD 2021)
PB  - Atlantis Press
SP  - 248
EP  - 251
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.211222.040
DO  - 10.2991/assehr.k.211222.040
ID  - Dewi2021
ER  -