Deep Learning Approaches to Identify Sukabumi Potentials Through Images on Instagram

Abstract

Sukabumi Regency is one of the largest regencies on the island of Java. With a large area and a fairly dense population, it creates its own problems, such as in managing the potential of places and communities. The purpose of this research is to explore the potential of Sukabumi Regency through Instagram social media with #sukabumiupdate. Data collection is done by taking pictures from social media Instagram, the data taken is 6,970 images. Each data that has been collected is divided into 4 (four) class categories based on the type of image, namely Tourism class, culture class, culinary class, and handicrafts. Then the data is classified using a deep learning approach with three methods, namely CNN, VGG16, and VGG19. These three models are very good at image processing. From the results of data processing through the CNN approach, the accuracy value is up to 91%, then the VGG16 approach has an accuracy value of 99%, and finally, through the VGG19 approach, the accuracy is 95%. So it can be ascertained that from the three models of the deep learning approach the best accuracy value is VGG16.