At present time, the people who use vehicles on the campus is increasing. It makes more difficult to find an empty slot parking area on the campus. This study aims to develop a system parking reservation and monitoring on-campus area using NFC and IoT concept. NFC was used to confirm booking code that generated by the system. In the parking area, ultrasonic sensors were installed to detect parking space availability. IoT concept has been applied to build this system. Apps on users smartphone can do the reservation process to the desired parking location via internet. Black box testing was done by building a prototype using the number of data locations parking slots in the Andalas University. The test results showed that this system has been able to detect the location of vacant parking slots and do reservations with time tosend data to the server for 0.7952 sec.

Currently, solid desiccant air conditioning system (SDACS) is an alternative to utilize solar energy to resolve environmental and energy issues resulting from the use of conventional vapor compression of air conditioning systems. SDACS can maintain the thermal comfort of a room with optimization of solar thermal energy and minimal use of electrical power. Present work in this paper is to design a solid desiccant air conditioning system of a closed room with 18 m3 of total volume. The desiccant wheel is used to dehumidify air in the room, and evaporative cooling will be decreasing the temperature of the air. The result shows the lower temperature can be reached 24°C.

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Padang City as the capital of West Sumatera Province is at high risk of earthquakes and tsunamis due to its location between two continental plates and the Semangko Fault. Currently, there are several shelters in Padang that serve as evacuation sites as a rescue location when a tsunami hits. This paper presents an earthquake detection system that uses distributed sensors to activate the shelter search system. The proposed system will activate the shelter search system when the earthquake has medium or high magnitude intensity. The earthquake identification system is achieved by calculating the Peak Ground Acceleration (PGA) value from the p-wave and s-wave using piezoelectric and accelerometer sensors. The proposed system is a distributed node sensor placed in different shelters which communicate using MQTT protocol. To evaluate the system, system for earthquake detection using Raspberry Pi, piezoelectric sensor, accelerometer MPU-6050, and Xbee for data communication have been implemented. The result shows that the system can detect the magnitude and intensity of the earthquake.