Constructing Sensor Module for Online Environmental Monitoring

Wijanarko, Michael and Djajadi, Arko (2015) Constructing Sensor Module for Online Environmental Monitoring. Bachelor thesis, Swiss German University.

[img]
Preview
Text
Michael Wijanarko 11111033 TOC.pdf

Download (363kB) | Preview
[img] Text
Michael Wijanarko 11111033 1.pdf
Restricted to Registered users only

Download (204kB)
[img] Text
Michael Wijanarko 11111033 2.pdf
Restricted to Registered users only

Download (866kB)
[img] Text
Michael Wijanarko 11111033 3.pdf
Restricted to Registered users only

Download (1MB)
[img] Text
Michael Wijanarko 11111033 4.pdf
Restricted to Registered users only

Download (2MB)
[img] Text
Michael Wijanarko 11111033 5.pdf
Restricted to Registered users only

Download (176kB)
[img]
Preview
Text
Michael Wijanarko 11111033 Ref.pdf

Download (273kB) | Preview

Abstract

Environmental sustainability has direct impact to the quality and sustainability of human life. This issue has been discussed lately in many global forums. However, most people tend to neglect it because there is no reliable sources of information that are publicly available to build good environmental awareness. In fact, nearly all human activities will affect the quality of their environment. This thesis is a small step toward this global issue to help giving factual information, by providing solution in the form of Internet of Thing (IoT) module. The results are plotted in graphs to ease the users and can be accessed via web to facilitate people to get new information quickly. The working environment is also important because there will be a difference between indoor result and outdoor result.

Item Type: Thesis (Bachelor)
Uncontrolled Keywords: Environment; Internet of Thing; Embedded System; WiFi; Monitoring; Web Cloud; Sensors; Online.
Subjects: T Technology > TD Environmental technology. Sanitary engineering
T Technology > TJ Mechanical engineering and machinery
T Technology > TJ Mechanical engineering and machinery > TJ163.12 Mechatronics
T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7872 Sensor Networks
Divisions: Faculty of Engineering and Information Technology > Department of Mechatronics Engineering
Depositing User: Atroridho Rizky
Date Deposited: 23 Nov 2020 12:55
Last Modified: 23 Nov 2020 12:55
URI: http://repository.sgu.ac.id/id/eprint/1520

Actions (login required)

View Item View Item