The Intersection of Machine Learning, Zakat, and Transportation for a Healthy Society

DOI

10.2991/978-94-6463-384-9_40How to use a DOI?

Keywords

Association Rule; Data Science; Machine Learning; Transportation; Zakat

Abstract

The recent Covid-19 pandemic has shown that transportation has a significant role in creating a healthy society. Human mobility can be tracked and traced to map the spread of infectious diseases using screening, tracing, and tracking methods through policies and applications. This momentum has accelerated the massive application of technology, one of which is using Machine Learning. Zakat also has an essential role during the pandemic quarantine policy. The potential of the combination of Machine Learning, Zakat, and transportation should now be increased to improve the Quality of Life to achieve a healthy society. The intersection of these three topics was researched using data scraping from the web dimension as one of the platforms that accommodates a collection of research publications. Data is limited to abstracts of research results within the last five years. Next, the data obtained was preprocessed, text-processed, and analyzed using the FP-Growth Algorithm for Association Rule. Research published so far shows that there is an intersection between Machine Learning, Zakat, and Transportation to achieve a healthy society, even with varying intersection probability values. Machine learning and transportation have the most potent intersection with health, while zakat is still lower. The results of this research can open up collaborative research topics between these domains. The results of this research can also be used as suggestions for policy-making by stakeholders to explore the existing potentials of various journals that have been published.

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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TY  - CONF
AU  - Moch Yusuf Asyhari
AU  - Pratiwi Susanti
AU  - Juwari
AU  - Khairul Adilah Ahmad
AU  - Norin Rahayu Shamsuddin
AU  - Taniza Tajuddin
PY  - 2024
DA  - 2024/02/20
TI  - The Intersection of Machine Learning, Zakat, and Transportation for a Healthy Society
BT  - Proceedings of the 2nd International Conference on Railway and Transportation 2023 (ICORT 2023)
PB  - Atlantis Press
SP  - 447
EP  - 458
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-384-9_40
DO  - 10.2991/978-94-6463-384-9_40
ID  - Asyhari2024
ER  -