ALDY, IGNATIUS OKTAVIAN (2025) GENDER CLASSIFICATION BASED ON EYE IMAGES USING CONVOLUTIONAL NEURAL NETWORK (CNN) ALGORITHM. S1 thesis, UNIVERSITAS KATOLIK SOEGIJAPRANATA.

Preview	Text 18.K1.0025_IGNATIUS OKTAVIAN ALDY_COVER.pdf Download (532kB) | Preview
	Text 18.K1.0025_IGNATIUS OKTAVIAN ALDY_BAB I .pdf Restricted to Registered users only Download (523kB)
	Text 18.K1.0025_IGNATIUS OKTAVIAN ALDY_BAB II.pdf Restricted to Registered users only Download (421kB)
	Text 18.K1.0025_IGNATIUS OKTAVIAN ALDY_BAB III.pdf Restricted to Registered users only Download (952kB)
	Text 18.K1.0025_IGNATIUS OKTAVIAN ALDY_BAB IV.pdf Restricted to Registered users only Download (1MB)
	Text 18.K1.0025_IGNATIUS OKTAVIAN ALDY_BAB V.pdf Restricted to Registered users only Download (521kB)
Preview	Text 18.K1.0025_IGNATIUS OKTAVIAN ALDY_DAFPUS.pdf Download (529kB) | Preview

Abstract

The eyes are one of the most important parts of the human senses. Generally, human eyes differ in shape and color. Through the eyes, it is sometimes also used to differentiate male or fema le gender. In this study the author conducted research on distinguishing human gender through the eyes using the CNN algorithm and using the "Orange" application. After conducting research using the CNN a lgorithm and the "Orange" application, the author obta ined very satisfying results. The figures obta ined by the author when using the CNN algorithm were 95% compared to previous research which only managed to get a va lue of 92.5%. During the research, the author a lso compared it with the Na ïve Bayes algorithm as a comparison algorithm. When the author conducted research using the Naïve Bayes algorithm, the author only got a score of 85%. In this study the author conc luded that the CNN algorithm is very capable and very good at recognizing and classifying human gender through the eyes.

Actions (login required)

View Item