This study presents IMANoBAS, an improved multi-mode alert notification IoT-based anti-burglar defense system that uses three notification modes: SMS, call, and email. The system employs a Passive Infrared (PIR) sensor for detecting intrusions and ensures timely alerts to homeowners or authorized personnel. The system integrates hardware components such as the central hub, buzzer, LED, and network interface, and uses Arduino IDE programming language for software development. The system's performance was evaluated, and an average responsiveness of 83.56% was achieved, indicating an acceptable response time. The study highlights the importance of multi-mode notification systems in ensuring reliable and timely alerts, especially in areas with unstable communication channels. The system's design allows for seamless integration with IoT technology, enabling remote monitoring and control of home security systems. The research also discusses the limitations of existing systems and proposes a solution that combines multiple notification modes to enhance security and response times. The study concludes that the proposed system offers a robust and efficient solution for burglary alert systems, with the potential for further improvements through the use of other microcontrollers like Raspberry Pi.This study presents IMANoBAS, an improved multi-mode alert notification IoT-based anti-burglar defense system that uses three notification modes: SMS, call, and email. The system employs a Passive Infrared (PIR) sensor for detecting intrusions and ensures timely alerts to homeowners or authorized personnel. The system integrates hardware components such as the central hub, buzzer, LED, and network interface, and uses Arduino IDE programming language for software development. The system's performance was evaluated, and an average responsiveness of 83.56% was achieved, indicating an acceptable response time. The study highlights the importance of multi-mode notification systems in ensuring reliable and timely alerts, especially in areas with unstable communication channels. The system's design allows for seamless integration with IoT technology, enabling remote monitoring and control of home security systems. The research also discusses the limitations of existing systems and proposes a solution that combines multiple notification modes to enhance security and response times. The study concludes that the proposed system offers a robust and efficient solution for burglary alert systems, with the potential for further improvements through the use of other microcontrollers like Raspberry Pi.