KLASIFIKASI JENIS SAMPAH MENGGUNAKAN ALGORITMA CONVOLUTIONAL NEURAL NETWORK

HERLIN, CLARA PUTRI and Samsuryadi, Samsuryadi and Rachmatullah, Muhammad Naufal (2023) KLASIFIKASI JENIS SAMPAH MENGGUNAKAN ALGORITMA CONVOLUTIONAL NEURAL NETWORK. Undergraduate thesis, Sriwijaya University.

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Abstract

Indonesia ranks second in contributing the largest amount of plastic waste to the global oceans, producing approximately 64 million tons of plastic waste annually, with around 3.2 million tons reaching the oceans and 85,000 tons of plastic bags discarded on land. Waste sorting plays a crucial role in waste management, enabling more efficient handling by allocating it appropriately to landfills or processing facilities based on its type. This process supports waste reduction, recycling, and environmental preservation. The study utilized Convolutional Neural Network (CNN) algorithms with DenseNet121 and MobileNetV2 for classifying waste without human intervention. Testing on five waste categories showed the highest success rate of 86%. The testing involved 1000 test data and 250 training data, divided into 200 test and 50 training data for each waste category tested.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Convolutional Neural Network, Klasifikasi sampah, DenseNet121dan MobileNetV2.
Subjects:	Q Science > Q Science (General) > Q334-342 Computer science. Artificial intelligence. Algorithms. Robotics. Automation. Q Science > Q Science (General) > Q350-390 Information theory
Divisions:	09-Faculty of Computer Science > 55201-Informatics (S1)
Depositing User:	Clara Putri Herlin
Date Deposited:	28 Nov 2023 02:16
Last Modified:	28 Nov 2023 02:16
URI:	http://repository.unsri.ac.id/id/eprint/131250

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