Smart recycle dustbin detector for cleaner in UiTM Tapah Campus / Fatina Aisya Shuhaimi

Internet of Things is a popular development phenomenon in the last few years,however there are a few of practical development in managing waste. Commonly, when ask about cleaner's profession they always relate in maintaining quality environment. Overflowed of garbage in recycled bin always been...

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Main Author: Shuhaimi, Fatina Aisya
Format: Thesis
Language:English
Published: 2019
Subjects:
Online Access:https://ir.uitm.edu.my/id/eprint/24990/1/TD_FATINA%20AISYA%20SHUHAIMI%20CS%20A%2019_5.pdf
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spelling my-uitm-ir.249902019-09-11T07:31:25Z Smart recycle dustbin detector for cleaner in UiTM Tapah Campus / Fatina Aisya Shuhaimi 2019-01 Shuhaimi, Fatina Aisya Instruments and machines Electronic Computers. Computer Science Computer software Application software Internet of Things is a popular development phenomenon in the last few years,however there are a few of practical development in managing waste. Commonly, when ask about cleaner's profession they always relate in maintaining quality environment. Overflowed of garbage in recycled bin always been an issue in the institution and the hazardous scenario in the institution leaving bad impression to the outsider such as parents and visitors. This project demonstrated about designing an efficient in collecting the recycle materials from the recycle dustbin, Smart Recycle Dustbin Detector for Cleaners. Recent Studies that show Internet of Things (IoT) automated management can reduce human resources and effort in collecting recycle material along with the improvement of an institution‟s environment with technology applied in the institution vision. The project is using Blynk application because some studies have shown that Blynk application only dragging and dropping widget which made easier to implement in the project. This project uses a microcontroller such as NodeMCU, Ultrasonic sensor and Blynk server. The project will notify the cleaner whenever the ultrasonic sensor sensing is exceed threshold and share the location of the full recycle dustbin to the specify email through Blynk application. Methodology use in this project is Waterfall model. Thus, the project can be carried out smooth and accurately. This study using experimental basis testing and the result based on the experiment conducted such as to get maximum range of length of ultrasonic sensor and the maximum WiFi coverage compatibility with Blynk application. This study not only present the key improvement of the collection recycle garbage management system but it also involvement in the ideas of IoT who can locate the full recycle dustbin only using Blynk application with mobile device that in the same Wi-Fi module. 2019-01 Thesis https://ir.uitm.edu.my/id/eprint/24990/ https://ir.uitm.edu.my/id/eprint/24990/1/TD_FATINA%20AISYA%20SHUHAIMI%20CS%20A%2019_5.pdf text en public degree Universiti Teknologi MARA Cawangan Perak Kampus Tapah Faculty of Computer and Mathematical Sciences
institution Universiti Teknologi MARA
collection UiTM Institutional Repository
language English
topic Instruments and machines
Instruments and machines
Computer software
Application software
spellingShingle Instruments and machines
Instruments and machines
Computer software
Application software
Shuhaimi, Fatina Aisya
Smart recycle dustbin detector for cleaner in UiTM Tapah Campus / Fatina Aisya Shuhaimi
description Internet of Things is a popular development phenomenon in the last few years,however there are a few of practical development in managing waste. Commonly, when ask about cleaner's profession they always relate in maintaining quality environment. Overflowed of garbage in recycled bin always been an issue in the institution and the hazardous scenario in the institution leaving bad impression to the outsider such as parents and visitors. This project demonstrated about designing an efficient in collecting the recycle materials from the recycle dustbin, Smart Recycle Dustbin Detector for Cleaners. Recent Studies that show Internet of Things (IoT) automated management can reduce human resources and effort in collecting recycle material along with the improvement of an institution‟s environment with technology applied in the institution vision. The project is using Blynk application because some studies have shown that Blynk application only dragging and dropping widget which made easier to implement in the project. This project uses a microcontroller such as NodeMCU, Ultrasonic sensor and Blynk server. The project will notify the cleaner whenever the ultrasonic sensor sensing is exceed threshold and share the location of the full recycle dustbin to the specify email through Blynk application. Methodology use in this project is Waterfall model. Thus, the project can be carried out smooth and accurately. This study using experimental basis testing and the result based on the experiment conducted such as to get maximum range of length of ultrasonic sensor and the maximum WiFi coverage compatibility with Blynk application. This study not only present the key improvement of the collection recycle garbage management system but it also involvement in the ideas of IoT who can locate the full recycle dustbin only using Blynk application with mobile device that in the same Wi-Fi module.
format Thesis
qualification_level Bachelor degree
author Shuhaimi, Fatina Aisya
author_facet Shuhaimi, Fatina Aisya
author_sort Shuhaimi, Fatina Aisya
title Smart recycle dustbin detector for cleaner in UiTM Tapah Campus / Fatina Aisya Shuhaimi
title_short Smart recycle dustbin detector for cleaner in UiTM Tapah Campus / Fatina Aisya Shuhaimi
title_full Smart recycle dustbin detector for cleaner in UiTM Tapah Campus / Fatina Aisya Shuhaimi
title_fullStr Smart recycle dustbin detector for cleaner in UiTM Tapah Campus / Fatina Aisya Shuhaimi
title_full_unstemmed Smart recycle dustbin detector for cleaner in UiTM Tapah Campus / Fatina Aisya Shuhaimi
title_sort smart recycle dustbin detector for cleaner in uitm tapah campus / fatina aisya shuhaimi
granting_institution Universiti Teknologi MARA Cawangan Perak Kampus Tapah
granting_department Faculty of Computer and Mathematical Sciences
publishDate 2019
url https://ir.uitm.edu.my/id/eprint/24990/1/TD_FATINA%20AISYA%20SHUHAIMI%20CS%20A%2019_5.pdf
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