Da’wah to Orang Asli is not something new for preachers in Malaysia. Various methods are used to ensure that Islamic teachings reach the Orang Asli. There are various barriers faced by the preacher such as the difficulty in mastering the Orang Asli language and the weaknesses shown by the preacher himself. This research was carried out to identify da’wah communication used by the preacher towards Orang Asli to identify barriers of communication preaching faced by the preacher when preaching to Orang Asli and to identify the preparation of the preacher before doing da'wah to Orang Asli. The researcher uses the qualitative method as the research design. Data were obtained through semi-structured interviews involving a total of nine Penggerak Masyarakat Orang Asli (PMOA) in the State of Selangor as study participants. Data were organized and coded according to themes and analyzed descriptively. The results of the study show that Penggerak Masyarakat Orang Asli (PMOA) has various ways to preach to the Orang Asli and most of them like to use the da'wah bill of things when preaching to the Orang Asli such as visiting the Orang Asli home and helping the Orang Asli who are in difficulty. In addition, there are also barriers faced by the preachers such as being bewitched by Orang Asli when preaching and Orang Asli using their houses as churches to spread Christianity to the villagers. Apart from the problems of Orang Asli, there are also problems caused by the Malays such as drinking alcohol and getting drunk with the children of the natives, resulting in a bad perception of the preachers.

The study aimed to determine the level of perceptions of those working in crisis and disaster management at the Ministry of Interior (Abu Dhabi) about training development, and applications of artificial intelligence, and to study the direct impact of each of them on predicting security crises, and also to study the indirect impact of artificial intelligence as an intermediary variable in the relationship between training and Developing and predicting security crises. The study relied on the descriptive analytical method as a basic approach to the study. The study tool was designed; the questionnaire was formulated in (3) axes, (8) dimensions, and (60) phrases, and the study population reached (118) regular terms in work in crisis and disaster management at the Ministry of Interior (Abu Dhabi), which deals with security crises in a manner Direct and indirect. The data was processed using modern statistical methods, by employing the use of statistical packages (SPSS) and (SmartPLS). The study reached several results, the most important of which were: that training and development are essential processes for great effectiveness in forecasting through artificial intelligence and combating security crises, and that artificial intelligence is an offensive, preventive, and predictive strategy in managing security crises, and making decisions based on Artificial intelligence often leads to positive decisions in confronting security crises and solving problems, as the results showed that there is a positive direct effect with statistical significance between training and development and its dimensions and security crises, as well as a positive direct effect with statistical significance between training and development and its dimensions and artificial intelligence, and there was also A positive, statistically significant direct effect between artificial intelligence and its dimensions and security crises, and a positive indirect effect of training and development in predicting security crises through artificial intelligence as an intermediary variable. While the study recommended the necessity of establishing a special crisis management department in the Ministry of Interior (Abu Dhabi) that monitors predictive signals before security crises occur with a scientifically and practically qualified work team, while exercising accuracy and caution when making security decisions, especially when dealing with security crises, even if The results were the output of artificial intelligence.