2023
DOI: 10.34306/itsdi.v4i2.579
|View full text |Cite
|
Sign up to set email alerts
|

Implementing Artificial Intelligence to Reduce Marine Ecosystem Pollution

Abstract: Industrial growth has a positive impact because it brings prosperity to humans. But on the other hand, it also has a negative effect, mainly due to industrial pollution produced. The pollution impacts environmental damage, one of which is the marine environment. This damage can be reduced by increasing understanding of the marine environment by monitoring it using technology. Although efforts have been made to monitor the marine environment, there are difficulties interpreting the large amount of data collecte… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

1
8
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
6
3
1

Relationship

0
10

Authors

Journals

citations
Cited by 20 publications
(9 citation statements)
references
References 31 publications
1
8
0
Order By: Relevance
“…The data source for this research is primary data obtained from interviews with informants at the Coordinating Ministry for Economic Affairs of the Republic of Indonesia, especially Deputy IV for digital economy, Pushansiber Ministry of Defense and Ministry of Communication and Information. While the secondary data sources in this study are data obtained from reports and other data that can be used as a reference for Indonesia's economic growth [19] [20].…”
Section: Methodsmentioning
confidence: 99%
“…The data source for this research is primary data obtained from interviews with informants at the Coordinating Ministry for Economic Affairs of the Republic of Indonesia, especially Deputy IV for digital economy, Pushansiber Ministry of Defense and Ministry of Communication and Information. While the secondary data sources in this study are data obtained from reports and other data that can be used as a reference for Indonesia's economic growth [19] [20].…”
Section: Methodsmentioning
confidence: 99%
“…Rooted in the Theory of Planned Behavior (TPB) and the Theory of Reasoned Action (TRA), behavioral intention serves as a proximal determinant of actual behavior According to the TPB, behavioral intention is shaped by three main factors: attitude, subjective norm, and perceived behavioral control [42]. Attitude reflects an individual's positive or negative evaluation of the behavior, subjective norm captures the perceived social pressure or approval related to the behavior, and perceived behavioral control pertains to the perceived ease or difficulty of performing the behavior [43].…”
Section: Behavioral Intentionmentioning
confidence: 99%
“…Digital technologies are also being employed to deliver public information campaigns, notify authorities of infractions, optimise collection routes, track vehicles, sort waste, trace the movement of materials through the supply chain, select suitable sites for waste management facilities, and deliver training and capacity building. In addition, artificial intelligence is being increasingly adopted to predict waste composition (Thomaz, Mahler and Pereira Calôba 2023), identify and sort waste materials (Moore 2023), reduce food waste and food loss (Onyeaka et al 2023;Said et al 2023) and predict hotspots of pollution from waste in marine environments (Fazri et al 2023;Seyed et al 2023).…”
Section: Data and Digitalisation To Strengthen The Waste Management V...mentioning
confidence: 99%