ABSTRACT
Disasters have various causes, disaster management efforts, and actors involved. A systematic big data analysis is needed to identify social resilience to determine the quality of the country's resilience on disasters. This study aims to (1) determine perceptions about the causes of disasters and (2) understand perceptions of disaster management efforts. (3) identify actors involved in disasters. (4) analyze the relationship between social resilience and disaster resilience using large data sources. (5) formulate a disaster management. The research was conducted by describing in detail from the opinions of the twitter user community about disasters using the text mining method. The data retrieval and analysis process was carried out using Computer-Assisted Qualitative Data Analysis Software (CAQDAS) with MAXQDA series 2020, Gephi version 0.10.0 and SWOT analysis. The results of the study show: (1) Most of the perceptions of the causes of disasters are associated with religion; (2) Most of the perceptions about disaster management efforts are based on the application of disaster management at the recovery stage; and (3) The actors who are most involved in disaster management efforts are the security forces countries. (4) There is a strong relationship between social resilience and disaster resilience, as shown by each actor having a role in disaster management efforts. (5) There are nine formulations of development strategies in disaster management efforts. The limitation of this research is that it only uses big data from Twitter and social media sources. The implications of this research can be used as a reference for governments, organizations, communities, or others involved in disaster management efforts, especially in countries that have diversity and are prone to disasters.
ABSTRACT
Background: Population aging refers to the increase in number and percentage of older population aged 60 yr and above, and at the same time, decreasing in number and percentage of the young population aged 15 yr old and below. Starting in developed countries, population aging has now become a distinctive demographic phenomenon in developing countries. Nowadays developing countries have become the home to the largest proportion of older people in the world. This paper aimed to analyze the impact of population aging in Malaysia. Methods: We employed a secondary data analysis related to the impact of population aging in Malaysia. In analyzing the data, the paper detailed, segmented, coded and, formulated the text into themes through a thematic approach. The themes that emerged from the data were family changes, migration of youth, support and care, health problems, financial security as well as housing problems. These emerged themes mapped the shared patterns of the impacts of the population aging. Results: With the increasing of the older population in Malaysia, there are various impacts of population aging emerged, particularly in terms of family changes, youth migration to cities, support and care, health, financial security and housing. The discussion in this article is revolved around these impacts. Conclusion: The growth of older people and the impact emerging from it has certain policy implications for the government of the country. Thus, the government needs to prepare for adequate policies and resources for future older people.