Recyclable waste separation system based on material classification using weight and size of waste
Insufficient landfills problem had increased the needs to decrease the waste and recycling them. However, despite the efforts done by the government and local authorities on promoting recycling culture by introducing new laws and regulations, the awareness and willingness among the community is stil...
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Lembaga Penerbitan dan Publikasi Ilmiah (LPPI), Universitas Ahmad Dahlan
2019
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Online Access: | http://irep.iium.edu.my/71965/7/71965_Recyclable%20waste%20separation%20system%20based%20on%20material%20classification%20using%20weight%20and%20size%20of%20waste_Scopus.pdf http://irep.iium.edu.my/71965/13/71965_Recyclable%20waste%20separation%20system%20based%20on%20material%20classification%20using%20weight%20and%20size%20of%20waste.pdf http://irep.iium.edu.my/71965/ https://journal.portalgaruda.org/index.php/EEI/article/view/1523 |
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my.iium.irep.719652020-06-16T07:30:56Z http://irep.iium.edu.my/71965/ Recyclable waste separation system based on material classification using weight and size of waste Midi, Nur Shahida Rahmad, Muhammad Aizat Yusoff, Siti Hajar Mohamad, Sarah Yasmin TA168 Systems engineering Insufficient landfills problem had increased the needs to decrease the waste and recycling them. However, despite the efforts done by the government and local authorities on promoting recycling culture by introducing new laws and regulations, the awareness and willingness among the community is still low. One of the possible reasons to this is lack of effort to categorize the waste into the designated category which are paper, glass, plastic and metal. In order to address this problem, it is important to design a system that will ease the process of categorizing the waste. This can be achieve by the automation of the said process. In this work, a system consist of an algorithm and hardware to automatically categorize recyclable waste is proposed. The proposed system are utilizing weight sensor and ultrasonic sensors in order to capture the characteristics of the waste item, which are weight and size so that it can be categorized into paper, glass, plastic and metal. Here, a sytem to automatically separate household waste item is presented by combining an algorithm with a set of hardware consist of minimal number of sensors, conveyer belt and servor motors. Lembaga Penerbitan dan Publikasi Ilmiah (LPPI), Universitas Ahmad Dahlan 2019-06 Article PeerReviewed application/pdf en http://irep.iium.edu.my/71965/7/71965_Recyclable%20waste%20separation%20system%20based%20on%20material%20classification%20using%20weight%20and%20size%20of%20waste_Scopus.pdf application/pdf en http://irep.iium.edu.my/71965/13/71965_Recyclable%20waste%20separation%20system%20based%20on%20material%20classification%20using%20weight%20and%20size%20of%20waste.pdf Midi, Nur Shahida and Rahmad, Muhammad Aizat and Yusoff, Siti Hajar and Mohamad, Sarah Yasmin (2019) Recyclable waste separation system based on material classification using weight and size of waste. Bulletin of Electrical Engineering and Informatics, 8 (2). pp. 479-489. ISSN 2089-3191 E-ISSN 2302-9285 https://journal.portalgaruda.org/index.php/EEI/article/view/1523 10.11591/eei.v8i2.1523 |
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TA168 Systems engineering Midi, Nur Shahida Rahmad, Muhammad Aizat Yusoff, Siti Hajar Mohamad, Sarah Yasmin Recyclable waste separation system based on material classification using weight and size of waste |
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Insufficient landfills problem had increased the needs to decrease the waste and recycling them. However, despite the efforts done by the government and local authorities on promoting recycling culture by introducing new laws and regulations, the awareness and willingness among the community is still low. One of the possible reasons to this is lack of effort to categorize the waste into the designated category which are paper, glass, plastic and metal. In order to address this problem, it is important to design a system that will ease the process of categorizing the waste. This can be achieve by the automation of the said process. In this work, a system consist of an algorithm and hardware to automatically categorize recyclable waste is proposed. The proposed system are utilizing weight sensor and ultrasonic sensors in order to capture the characteristics of the waste item, which are weight and size so that it can be categorized into paper, glass, plastic and metal. Here, a sytem to automatically separate household waste item is presented by combining an algorithm with a set of hardware consist of minimal number of sensors, conveyer belt and servor motors. |
format |
Article |
author |
Midi, Nur Shahida Rahmad, Muhammad Aizat Yusoff, Siti Hajar Mohamad, Sarah Yasmin |
author_facet |
Midi, Nur Shahida Rahmad, Muhammad Aizat Yusoff, Siti Hajar Mohamad, Sarah Yasmin |
author_sort |
Midi, Nur Shahida |
title |
Recyclable waste separation system based on material
classification using weight and size of waste |
title_short |
Recyclable waste separation system based on material
classification using weight and size of waste |
title_full |
Recyclable waste separation system based on material
classification using weight and size of waste |
title_fullStr |
Recyclable waste separation system based on material
classification using weight and size of waste |
title_full_unstemmed |
Recyclable waste separation system based on material
classification using weight and size of waste |
title_sort |
recyclable waste separation system based on material
classification using weight and size of waste |
publisher |
Lembaga Penerbitan dan Publikasi Ilmiah (LPPI), Universitas Ahmad Dahlan |
publishDate |
2019 |
url |
http://irep.iium.edu.my/71965/7/71965_Recyclable%20waste%20separation%20system%20based%20on%20material%20classification%20using%20weight%20and%20size%20of%20waste_Scopus.pdf http://irep.iium.edu.my/71965/13/71965_Recyclable%20waste%20separation%20system%20based%20on%20material%20classification%20using%20weight%20and%20size%20of%20waste.pdf http://irep.iium.edu.my/71965/ https://journal.portalgaruda.org/index.php/EEI/article/view/1523 |
_version_ |
1672610126907834368 |
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13.211869 |