SISTEM KLASIFIKASI KUALITAS BUAH APEL BERBASIS CITRA THERMAL MENGGUNAKAN METODE JARINGAN SYARAF TIRUAN BACKPROPAGATION
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23638 |
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<dc schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><relation>http://repository.unsri.ac.id/23638/</relation><title>SISTEM KLASIFIKASI KUALITAS BUAH APEL BERBASIS CITRA THERMAL MENGGUNAKAN METODE JARINGAN SYARAF TIRUAN BACKPROPAGATION</title><creator>SARI, RENY PAMELA</creator><creator>Sutarno, Sutarno</creator><subject>Q334-342 Computer science. Artificial intelligence. Algorithms. Robotics. Automation.</subject><description>Apples are a type of fruit that has a sweet taste and has excellent properties so that these apples are very popular with the community. The selection of apples usually still uses a simple tool. The choice of the quality of apples at this time is always made manually so that errors often occur due to different opinions of everyone, and not all apples that look good outside have a sweet taste. Based on this problem, it can be overcome by using digital image processing using a thermal camera. Thermal retrieval using FLIR ONE Pro and smartphone. Furthermore, through image processing, namely preprocessing consists of the process of image acquisition and image quality improvement, segmentation as a process of separation between background and foreground, feature extraction is used to obtain the characteristics of apples and classification using a backpropagation algorithm for grouping data. The test results obtained in this study were 96.66% accuracy 100 %, sensitivity, and 94.44% specificity in classifying apples based on fruit quality.</description><date>2019-12-06</date><type>Thesis:Thesis</type><type>PeerReview:NonPeerReviewed</type><type>Book:Book</type><language>ind</language><rights>cc_public_domain</rights><identifier>http://repository.unsri.ac.id/23638/1/RAMA_56201_09011181520118.pdf</identifier><type>Book:Book</type><language>ind</language><rights>cc_public_domain</rights><identifier>http://repository.unsri.ac.id/23638/2/RAMA_56201_09011181520118_TURNITIN.pdf</identifier><type>Book:Book</type><language>ind</language><rights>cc_public_domain</rights><identifier>http://repository.unsri.ac.id/23638/3/RAMA_56201_09011181520118_0201117802_01_front_ref.pdf</identifier><type>Book:Book</type><language>ind</language><rights>cc_public_domain</rights><identifier>http://repository.unsri.ac.id/23638/4/RAMA_56201_09011181520118_0201117802_02.pdf</identifier><type>Book:Book</type><language>ind</language><rights>cc_public_domain</rights><identifier>http://repository.unsri.ac.id/23638/5/RAMA_56201_09011181520118_0201117802_03.pdf</identifier><type>Book:Book</type><language>ind</language><rights>cc_public_domain</rights><identifier>http://repository.unsri.ac.id/23638/6/RAMA_56201_09011181520118_0201117802_04.pdf</identifier><type>Book:Book</type><language>ind</language><rights>cc_public_domain</rights><identifier>http://repository.unsri.ac.id/23638/7/RAMA_56201_09011181520118_0201117802_05.pdf</identifier><type>Book:Book</type><language>ind</language><rights>cc_public_domain</rights><identifier>http://repository.unsri.ac.id/23638/9/RAMA_56201_09011181520118_0201117802_06_ref.pdf</identifier><type>Book:Book</type><language>ind</language><rights>cc_public_domain</rights><identifier>http://repository.unsri.ac.id/23638/10/RAMA_56201_09011181520118_0201117802_07_lamp.pdf</identifier><identifier> SARI, RENY PAMELA and Sutarno, Sutarno (2019) SISTEM KLASIFIKASI KUALITAS BUAH APEL BERBASIS CITRA THERMAL MENGGUNAKAN METODE JARINGAN SYARAF TIRUAN BACKPROPAGATION. Undergraduate thesis, Sriwijaya University. </identifier><recordID>23638</recordID></dc>
|
| language |
ind |
| format |
Thesis:Thesis Thesis PeerReview:NonPeerReviewed PeerReview Book:Book Book |
| author |
SARI, RENY PAMELA Sutarno, Sutarno |
| title |
SISTEM KLASIFIKASI KUALITAS BUAH APEL BERBASIS CITRA THERMAL MENGGUNAKAN METODE JARINGAN SYARAF TIRUAN BACKPROPAGATION |
| publishDate |
2019 |
| isbn |
0901118152011 |
| topic |
Q334-342 Computer science. Artificial intelligence. Algorithms. Robotics. Automation |
| url |
http://repository.unsri.ac.id/23638/1/RAMA_56201_09011181520118.pdf http://repository.unsri.ac.id/23638/2/RAMA_56201_09011181520118_TURNITIN.pdf http://repository.unsri.ac.id/23638/3/RAMA_56201_09011181520118_0201117802_01_front_ref.pdf http://repository.unsri.ac.id/23638/4/RAMA_56201_09011181520118_0201117802_02.pdf http://repository.unsri.ac.id/23638/5/RAMA_56201_09011181520118_0201117802_03.pdf http://repository.unsri.ac.id/23638/6/RAMA_56201_09011181520118_0201117802_04.pdf http://repository.unsri.ac.id/23638/7/RAMA_56201_09011181520118_0201117802_05.pdf http://repository.unsri.ac.id/23638/9/RAMA_56201_09011181520118_0201117802_06_ref.pdf http://repository.unsri.ac.id/23638/10/RAMA_56201_09011181520118_0201117802_07_lamp.pdf http://repository.unsri.ac.id/23638/ |
| contents |
Apples are a type of fruit that has a sweet taste and has excellent properties so that these apples are very popular with the community. The selection of apples usually still uses a simple tool. The choice of the quality of apples at this time is always made manually so that errors often occur due to different opinions of everyone, and not all apples that look good outside have a sweet taste. Based on this problem, it can be overcome by using digital image processing using a thermal camera. Thermal retrieval using FLIR ONE Pro and smartphone. Furthermore, through image processing, namely preprocessing consists of the process of image acquisition and image quality improvement, segmentation as a process of separation between background and foreground, feature extraction is used to obtain the characteristics of apples and classification using a backpropagation algorithm for grouping data. The test results obtained in this study were 96.66% accuracy 100 %, sensitivity, and 94.44% specificity in classifying apples based on fruit quality. |
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IOS8119.23638 |
| institution |
Universitas Sriwijaya |
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177 |
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library:university library |
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UPT Perpustakaan Universitas Sriwijaya |
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1098 |
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Sriwijaya University Institutional Repository |
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8119 |
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OGAN ILIR |
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SUMATERA SELATAN |
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1 |
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IOS8119 |
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2020-03-23T08:01:15Z |
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2020-03-23T08:01:15Z |
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dc |
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1684010473058467840 |
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17.538404 |