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A theoretical review on the preventive measures to landslide disaster occurrences in Penang State, Malaysia

Hassan, Mohamad Ghozali and Taib, Che Azlan and Akanmu, Muslim and Ahmarofi, Afif (2018) A theoretical review on the preventive measures to landslide disaster occurrences in Penang State, Malaysia. The Journal of Social Sciences Research (SPI6). pp. 753-759. ISSN 24136670

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Based on the frequently unanticipated occurrences of natural landslide disaster across Malaysia, it can be seen that Malaysia is still not fully prepared for occurrences of natural landslide disaster.The lack of predictive and warning systems for the disaster in the country is creating panic and apprehension among citizens alongside with both economic and property losses. The general objectives of this research are: to identify the meteorological factors that cause landslide natural disaster occurrences in Malaysia and to suggest a predictive model for landslide disaster occurrence in Malaysia. This research therefore explored modelling disasters occurrences in order to predict, warn, and prevent huge impact of landslide disasters in Penang, Malaysia. This research shall make use of past literatures and data from Malaysian Meteorological department considering climatic parameters such as daily mean temperature and daily rainfall only. Data mining and Artificial Neural Networks (ANN) shall be suggested to predict landslide disaster occurrences in Malaysia. Thus, the need for a predictive model for occurrence of landslide natural disaster is imperative to the safety of lives and protection of both environmental and economy of the region.

Item Type: Article
Uncontrolled Keywords: Landslide; Natural disaster; Artificial neural network; Malaysia; Predictive model.
Subjects: H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management
Divisions: School of Technology Management & Logistics
Depositing User: Mrs. Norazmilah Yaakub
Date Deposited: 17 Feb 2019 02:43
Last Modified: 17 Feb 2019 02:43
URI: http://repo.uum.edu.my/id/eprint/25602

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