relation: https://eprints.untirta.ac.id/51156/ title: Pengolahan Tingkat Akurasi Citra Wajah Dengan Metode Linear Discriminant Analysis creator: Sakinah, Hanif Urfa subject: T Technology (General) subject: TK Electrical engineering. Electronics Nuclear engineering description: Human life is very dependent on the progress and sophistication of today’s technological world which makes work easier, one of which is facial detection. Linear Discriminant Analysiso or LDA for short is a statictical technique used for classification and dimension reduction. The LDA method is a face detection method that is tested based on the level of facial recognition accuracy and based on the Fisher criterion to get better accuracy value. One of the software that can be used for facial recognition is MATLAB. To conduct the research, namely taking several faces of students of Sultan Ageng Tirtayasa University Voactional Education Electrical Engineering as image data for processing the level of accuracy. In processing the level of accuracy of facial images, there are 2 groups, namely training data used to train the model to recognize certain classes based on features and test data used to test the ability pf the trained model to recognize classes well on new images. The number of image data used for processing the level of facial image accuracy is 25 stident face data and there are 2 data, namely training data and test data, the results were tested on 250 training data for each student’s face 10 images with an accuracy results of 96,4% while on the test data as much as 125 for aech students’s face 5 images with an accuracy results of 100%. date: 2025 type: Thesis type: NonPeerReviewed format: text language: id identifier: https://eprints.untirta.ac.id/51156/1/HANIF%20URFA%20SAKINAH_2283180001_FULL%20TEXT.pdf format: text language: id identifier: https://eprints.untirta.ac.id/51156/2/HANIF%20URFA%20SAKINAH_2283180001_CP.pdf format: text language: id identifier: https://eprints.untirta.ac.id/51156/4/HANIF%20URFA%20SAKINAH_2283180001_02.pdf format: text language: id identifier: https://eprints.untirta.ac.id/51156/5/HANIF%20URFA%20SAKINAH_2283180001_03.pdf format: text language: id identifier: https://eprints.untirta.ac.id/51156/6/HANIF%20URFA%20SAKINAH_2283180001_04.pdf format: text language: id identifier: https://eprints.untirta.ac.id/51156/7/HANIF%20URFA%20SAKINAH_2283180001_05.pdf format: text language: id identifier: https://eprints.untirta.ac.id/51156/8/HANIF%20URFA%20SAKINAH_2283180001_REF.pdf format: text language: id identifier: https://eprints.untirta.ac.id/51156/9/HANIF%20URFA%20SAKINAH_2283180001_LAMP.pdf format: text language: en identifier: https://eprints.untirta.ac.id/51156/18/HANIF%20URFA%20SAKINAH_2283180001_01.pdf identifier: Sakinah, Hanif Urfa (2025) Pengolahan Tingkat Akurasi Citra Wajah Dengan Metode Linear Discriminant Analysis. S1 thesis, UNIVERSITAS SULTAN AGENG TIRTAYASA.