KLASIFIKASI CITRA PRAKANKER SERVIKS PADA DATA INSPEKSI VISUAL ASAM ASETAT MENGGUNAKAN METODE CONVOLUTIONAL NEURAL NETWORK BERBASIS EXPLAINABLE ARTIFICIAL INTELLIGENCE

SULISTIYO, AMAT and Nurmaini, Siti (2022) KLASIFIKASI CITRA PRAKANKER SERVIKS PADA DATA INSPEKSI VISUAL ASAM ASETAT MENGGUNAKAN METODE CONVOLUTIONAL NEURAL NETWORK BERBASIS EXPLAINABLE ARTIFICIAL INTELLIGENCE. Undergraduate thesis, Sriwijaya University.

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Abstract

This study focuses on Explainable Artificial Intelligence, based on cervical precancer data from Muh Hospital. Husein Palembang City. Cervical precancer data is classified using methods from Artificial Intelligence in this case Deep Learning such as ResNet50, MobileNetV2, and VGG16. The cervical precancer data used were 219 images or images and after the classification process with Deep Learning, the Grad-CAM method was applied, one of the methods of Explainable Artificial Intelligence. The results of the pre-cancer image classification process obtained the best value on the MobileNetV2 architecture with accuracy, sensitivity, and specificity values of 94.36%, 96.14%, and 91.83%. The results of the cervical precancer classification are used for evaluation of the black box system model with Grad-CAM to determine the system in decision making, and this architectural model is capable of making decisions based on the Grad-CAM method. Keywords: Explainable Artificial Intelligence, Classification, Grad-CAM, Precancer

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Explainable Artificial Intelligence, Klasifikasi, Grad-CAM, Prakanker serviks
Subjects:	T Technology > T Technology (General) > T1-995 Technology (General)
Divisions:	09-Faculty of Computer Science > 56201-Computer Systems (S1)
Depositing User:	Amat Sulistiyo
Date Deposited:	22 Jul 2022 08:20
Last Modified:	22 Jul 2022 08:20
URI:	http://repository.unsri.ac.id/id/eprint/74527

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