"A responsible and passionate Undergraduate Electrical Engineering Student,
Concentrate on Electronics-Telecommunication and Hardware System Engineering"
Electrical Engineering • Programming • Multimedia
• Microsoft Word (Expert)
• Microsoft Excel (Expert)
• Microsoft Powerpoint (Expert)
• Outlook (Expert)
• Note
• Visio
• Adobe Ilustrator (Expert)
• Adobe Premiere (Expert)
• Adobe After Effect (Expert)
• Adobe Audition (Expert)
• Adobe Photoshop
• Adobe Lightroom
• C\C++ Arduino (Expert)
• C# .NET (Expert)
• Python (Expert)
• HTML & CSS
• MySQL
• PostgreSQL
• Windows 8/8.1/10/11 (Expert)
• Linux Mint/Ubuntu
• Mac OS
• Arduino IDE (Expert)
• Visual Studio (Expert)
• Visual Studio Code (Expert)
• Eagle/Proteus/EasyEDA
• Sketchup/Fritzing/Wireshark
• Android Studio
• Arduino (UNO, Mega, Mini)
• NodeMCU (ESP32 & ESP8266)
• Rasberry Pi (3 & 4)
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The prototype Remote Control 4WD drive accessed via Bluetooth is proposed as a solution to help sterilize a room with UV-C rays, where one of the countermeasures for the Covid-19 pandemic is through research that U-VC is able to effectively reduce radiation from exposure to viruses and bacteria in a matter of minutes. The development of this system will focus on the Bluetooth band frequency system with 4 WD Drive Remote Control.
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The prototype of the air quality monitoring system using the MQ-135 sensor is proposed as a low cost based room air monitoring with measurement results that are close to mainstream tools on the market. Using mathematical modeling that has been created by Kinnera Bharath Kumar Sai, assistant professor from Vellore Institute of Technology in India, which is then applied to Arduino IDE programming on the prototype that I have developed, you can download this programming at https://github.com/aaannd/Vector-Auto-Regression-Model-MQ-135-Created-by-Andaru-Nugroho.
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The prototype of the indoor air quality monitoring system is proposed as a solution to help monitor the condition of the air in the room, as a control regarding exposure to air hazards in the environment which is carried out using Internet of Things technology. The data taken from the measurement system is CO gas, temperature, and humidity. monitored with access to the LCD System and Website. The development of this system will focus on Wireless Sensor Network technology, communication protocols and visualization of sensor data.