| Summary: | System for detecting, collection data and online monitoring for air
pollution is been made and carbon monoxide as it�s sampling parameter. The
communication utilizing Twitter API from social networking Twitter to send
sensor data to the Twitter server and pulls data to insert into a database. The
newest data in database displayed on a web form that utilizes Google Maps API.
The monitoring system is built from hardware such as gas sensor TGS
2600, Arduino Nano, Raspberry Pi and a USB GSM modem. MD5, one of the
hash function method used to avoid sending corrupted data due to serial
connection that occurs between the Raspberry Pi and Arduino.
MD5 can detects smallest changes if there�s any damage data between
USB serial connection because it has avalanche effect. Twitter API can be used by
the systems at the same time in order to sends the data to Twitter then pulls the
data for insert it to database. Recent data in database displayed on the web which
grouped inte five categories. Each categories uses a marker with defferent colors.
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