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dc.contributor.advisorSon Wan Li
dc.contributor.authorNabhan faisal bariz
dc.date.accessioned2021-04-12T04:47:11Z
dc.date.available2021-04-12T04:47:11Z
dc.date.issued2020
dc.identifier.urihttps://dspace.uii.ac.id/123456789/28080
dc.description.abstractThe need and use of social media are increasing every year by millions of people around the world. This increase has a positive impact on users to be able to participate, share, and create content for social media. Over time, social media has an essential role in connecting business people with customers. Therefore, photographers must take steps to use social media as a reinforcement of the relationship between themselves and clients so that services can be improved. In the current era of high mobility, the space for photography entrepreneurship is seen as narrow because of the movement of locations that are hard to find. In general, entrepreneurship photography is very carefully related to landscape facilities, comfort, and network facilities, as well as accessibility, while it is only slightly related to educational facilities. More specifically, sharing and contributing facilities for photographers in filling content. Making social media is equipped with deep learning, namely image classification, to find out the genre of photos that enter the database. Image classification using the convolutional neural network model has the highest level of accuracy and the best classification speed among other models for use in image classification.en_US
dc.publisherUniversitas Islam Indonesiaen_US
dc.subjectSocial mediaen_US
dc.subjectPhotographyen_US
dc.subjectDeep Learningen_US
dc.subjectConvolutional Neural Networken_US
dc.titlePhotographer’s Social Media To Improve Photo Content Using Deep Learning For Classification Imageen_US
dc.Identifier.NIM16523206


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