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Mobile Application Development for Monitoring Dangerous Situations in Smart Home Warning System

Based on data from the Central Statistics Agency (BPS) in 2017, the number of theft victims in Indonesia reached 84.47%, this increased in 2018 to 84.48%. The increase in theft cases in Indonesia is not balanced with the use of adequate housing security systems by the community. Based on data from the Central Statistics Agency (BPS) in 2017, there are 61.21 % of people in Indonesia who still use simple home security systems such as padlocks, ordinary door locks, and layered door bars. This causes 58.85% of people in Indonesia who are worried when leaving home in an uninhabited state. In this final project, the author creates a mobile application that can assist users in monitoring residences to provide a sense of security and comfort for users when leaving their residence. This mobile application is integrated with the deep learning system using a data communication system. The process of creating this mobile application starts from identifying system needs, then making user flow design and entity relationship diagrams, after which doing the design and implementation of user interfaces and user experiences, finally the author conducts system testing. This mobile application has three main features, namely homepage, page profile, and SOS page. In addition, the mobile application is also equipped with a notification feature, to notify users when a dangerous activity occurs with the concept of Smart Home Warning System. Based on the results of tests conducted on mobile applications, all functional and non-functional requirements were successfully met. All existing features can be used and work according to their respective functions. As for the homepage feature can display camera capture, captured motion status, timestamp, and verification of dangerous conditions by users, the page profile feature is able to display the terms and conditions of application use, and the user’s personal account, and the SOS page feature is able to display emergency contacts that users can contact in case of dangerous conditions.