Development of The Personnel Monitoring System Using Mobile Application and Real-Time Database During the COVID19 Pandemic

Abstract

Coronavirus disease 19 (COVID19) is a disease caused by the new coronavirus called severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). This disease has infected almost the entire world with a total of 47.5 million sufferers and a death toll of 1.2 million people so that WHO categorizes it as a global pandemic. The COVID19 case in Indonesia still shows an increasing trend even though various prevention efforts have been made. Proven efforts to reduce the spread of COVID19 include limiting physical interactions between humans or physical distance, maintaining the cleanliness of hands and limbs by washing with soap, and limiting outdoor activities by staying at home. Several government and private agencies have required employees to report their health conditions via web pages. Real-time and accurate mobile applications can help prevent the spread of COVID19. This research will develop a real-time monitoring and command system using mobile applications and cloud computing technology. The application will collect GPS-based location data, the number of people in the vicinity identified via Bluetooth, and the user's body condition in the form of temperature and oxygen levels in the blood. User data is stored and processed in a real time database in cloud computing which can be accessed through an application on the user's smartphone. The database also stores data on Covid19 sufferers and where they live. The application provides alerts when in a crowd and notifies the status of the region the user is in. Advice is given by the app when the recording of the body condition points to the early symptoms of COVID19.

Mobile Applications for the Implementation of Health Control against Covid-19 in Educational Centers, a Systematic Review of the Literature

“…[29]- [32], [51], [53], [54], [64]- [72], [127] Monitoring [12], [24], [27], [33]- [35], [52], [73]- [88], [90], [92]- [97], [129]- [132] PARAMETERS ARTÍCLES Political [13], [98] Predictive [14]- [17], [19], [25], [26], [37]- [41], [60], [61], [63],…”

“…[12], [24], [27], [33]- [35], [52], [73]- [88], [90], [92]- [97], [129]- [132] These articles take into account the policy parameter as they encourage the use of technological tools in daily life and work so that, in times of pandemic, we adapt to study and work virtually, they also argue to consider very seriously the measures demanded by governments, to prevent Covid-19.…”

“…Availability and functionality [12], [25], [30], [31], [34], [35], [38], [48], [56], [63], [69], [74], [77], [79], [82], [88], [92], [105], [112], [115], [117], [120], [128], [133], [136] Availability, functionality, and reliability [24], [40], [66], [73], [80], [87], [100], [114] Availability, functionality, and performance [11], [16], [29], [46], [62], [86], [110] Availability, functionality, and security [37], [44], [58], [64], [95], [122], [137] Functionality [14], [15],…”

“…[24], [40], [66], [73], [80], [87], [100], [114] These articles take into account the quality attributes of availability, functionality and performance, which would serve to develop software with the necessary functions to solve the problems presented by Covid-19.…”

Development of a mobile expert system for the diagnosis on motorcycle damage using forward chaining algorithm

“…Therefore, it was built to act as a decision support system [12]- [15]. These applications were also developed for the implementation of mobile learning systems, especially during the COVID-19 pandemic [16], [17]. There are high expectations from the areas of development for expert systems.…”