Smart Detector: Anti-Cheating Exam Detection Based on IoT and Biosecurity Management to Make a Cultural Indonesia Towards a Society 5.0 Era

Abstract

All the crises that are happening today started with a crisis of values and a crisis of honesty. The current pandemic condition has changed Indonesia's online-based education system. Since the exam is conducted online, it is possible to cheat especially if a third party is disguised by the examinee. Therefore, the need for authentication and security is a must before starting the exam. This study aims to create a model of an IoT-based anti-cheat test detection tool and biosecurity management. The methods used include observation, literature study and experiment. IoT-based Smart Detector and biosecurity management can be used as an effort to overcome cheating committed in online exams. Through this tool, teachers and other related parties who require supervision in online exams will be more helpful in minimizing fraudulent acts that occur in exams.