Proceedings of the 7th FIRST 2023 International Conference on Global Innovations (FIRST-ESCSI 2023)

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Reducing the Littering Activity using Artificial Intelligence Technology

Authors
Nyayu Latifah Husni1, *, Dewi Permata Sari1, Yeni Irdayanti1, Ade Silvia Handayani1, Rein Aisyah1, Charina Mutiara Chairunnisa1
1Politeknik Negeri Sriwijaya, Palembang, 30139, Indonesia
*Corresponding author. Email: nyayu_latifah@polsri.ac.id
Corresponding Author
Nyayu Latifah Husni
Available Online 27 February 2024.
DOI
10.2991/978-94-6463-386-3_58How to use a DOI?
Keywords
Artificial Intelligence; Littering; Public Environment; Mini PC
Abstract

Littering has become a major concern for the preservation of the public health and aesthetics of cities. The aim of this research is to show that an AI-based device can be one of the alternatives in reducing the littering in the public environment. This research proposes an AI-based platform that allows users to obtain information about littering. Inputs sensors, such as HC-SR04, DHT 11, MQ-7, MQ7, and HW-028 are integrated to the Arduino that acts as the processor. This Arduino is connected to the Mini PC that will process the littering monitoring program. When the littering is detected by the system, the device will send the information to the users through the cloud server. The output of the system is also connected to the LCD and speaker. This allows the system to warn the doer not to do littering through the sound that it generates. The research can be implemented in the public areas in order to reduce the littering.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 7th FIRST 2023 International Conference on Global Innovations (FIRST-ESCSI 2023)
Series
Advances in Engineering Research
Publication Date
27 February 2024
ISBN
978-94-6463-386-3
ISSN
2352-5401
DOI
10.2991/978-94-6463-386-3_58How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Nyayu Latifah Husni
AU  - Dewi Permata Sari
AU  - Yeni Irdayanti
AU  - Ade Silvia Handayani
AU  - Rein Aisyah
AU  - Charina Mutiara Chairunnisa
PY  - 2024
DA  - 2024/02/27
TI  - Reducing the Littering Activity using Artificial Intelligence Technology
BT  - Proceedings of the 7th FIRST 2023 International Conference on Global Innovations (FIRST-ESCSI 2023)
PB  - Atlantis Press
SP  - 570
EP  - 576
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-386-3_58
DO  - 10.2991/978-94-6463-386-3_58
ID  - Husni2024
ER  -