Proceedings of the 1st International Conference on Vocational Education And Training (ICOVET 2017)

Open Source Wireless Sensor Network Classroom Monitoring System

Authors
Muladi Muladi, Marji Marji, Heru Wayhu, Samsul Hidayat
Corresponding Author
Muladi Muladi
Available Online November 2017.
DOI
https://doi.org/10.2991/icovet-17.2017.33How to use a DOI?
Keywords
IoT, open source, classroom monitoring
Abstract
One of the factors that affect student achievement is the condition of the study. The intensity of lighting, air composition, humidity, and temperature in the room is the main factors that determine the health and comfort of the students. Changes in weather and climate, interior design, and the use of instructional media will affect these factors. The use of electronic devices such as air conditioners (AC) to improve the comfortness of the room can be turned into a source of disruption to health if it is not accompanied by the air quality control. This research aims to design and build a monitoring the condition of the classroom for providing comfortness using open source wireless sensor networks (WSN) and web-based user interface. The research is conducted in the research development methode manner. Hardware using WifiBee as a major component equipped WSN sensors and a data connection through wifi. Software design is to build a web server that consists of Apache, PHP and MySQL. Both hardware dan software is developed using open source. The results show that open source WSN can be used for monitoring the condition of the classroom. Measurement data can be stored and accessed through a wireless network.
Open Access
This is an open access article distributed under the CC BY-NC license.

Download article (PDF)

Cite this article

TY  - CONF
AU  - Muladi Muladi
AU  - Marji Marji
AU  - Heru Wayhu
AU  - Samsul Hidayat
PY  - 2017/11
DA  - 2017/11
TI  - Open Source Wireless Sensor Network Classroom Monitoring System
BT  - Proceedings of the 1st International Conference on Vocational Education And Training (ICOVET 2017)
PB  - Atlantis Press
SP  - 151
EP  - 155
SN  - 2352-5398
UR  - https://doi.org/10.2991/icovet-17.2017.33
DO  - https://doi.org/10.2991/icovet-17.2017.33
ID  - Muladi2017/11
ER  -