DESIGN & IMPLEMENTATION OF AWS-BASED DATA STORAGE SYSTEM FOR A BIOGAS PRODUCTION MONITORING SYSTEM

• Main Author: Ryo Kianijaya, Matthew
• Format: Final Project
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/66512
• Institution: Institut Teknologi Bandung

ABSTRACT DESIGN & IMPLEMENTATION OF AWS-BASED DATA STORAGE SYSTEM FOR A BIOGAS PRODUCTION MONITORING SYSTEM By Matthew Ryo Kianijaya NIM: 13218035 (Bachelor’s Program in Electrical Engineering) One of the renewable energies that has great potential in Indonesia is biogas. Biogas is a gas produced from anaerobic activity or fermentation of organic materials. Biogas produces clean energy, which can be used for daily purposes such as cooking or lighting (electricity). However, biogas production is still a challenge in Indonesia. One of the challenges of biogas production is technology. Biogas is still categorized as an energy source that is less efficient and cannot be produced in large quantities. This can be due to the process taking quite the amount of time but has the potential to fail if not monitored regularly. To produce biogas optimally, it is necessary to choose the suitable raw materials and maintain ideal temperature conditions and pH levels in the reactor. Based on the description above, a monitoring system for temperature, pH level, and gas pressure from biogas production based on the Internet of Things is proposed. When monitoring, there are many data that are acquired throughout the process. Depending on what kind of data acquired when processing biogas, those data can be useful for further researching biogas production. Which is why it is imperative for the data to be stored safely. The author proposes a system with a data transmission, data storage, and power management subsystem. The system will use a real-time clock for timekeeping, the Internet for transmitting data with the Message Queuing Telemetry Transport (MQTT) protocol, both a microSD card and cloud database for storing the data, and a power supply system that has an automatic switching capability between the main power source and a backup power source. The cloud database will be available through renting the Amazon Web Services (AWS) cloud service. The implementation has been carried out by testing each sub-systems and it has produced satisfactory results with the data being able to be sent regularly every new hour to both the microSD card and the cloud database. The backup power source can last for 9 hours, and the system is able to keep running on it. Keywords: Amazon Web Services, Biogas, Data Storage