@phdthesis{eprintuntirta45163, year = {2024}, note = {Penerapan integrasi antara sistem cloud dengan layanan API yang dibuat meringankan beban dalam penyimpanan karena menggunakan penyimpanan cloud dalam melakukan input data pengguna.}, month = {November}, title = {IMPLEMENTASI PENGGUNAAN API DENGAN CLOUD STORAGE UNTUK APLIKASI REKOMENDASI PAKAIAN}, school = {Fakultas Teknik Universitas Sultan Ageng Tirtayasa}, author = {Rhein Kharnafis Dhirgham}, abstract = {The widespread use of social media makes trends appear quickly and encourages people always to follow trends, one of which is fashion trends. Choosing the right clothes according to trends increases one's self-confidence. Therefore, it is necessary to have an understanding of clothing references, with the dressing recommendation application in this research can be a relevant and useful innovation in the fashion field to provide recommendations according to user references. Improving the optimal performance of recommendation applications using GCP cloud computing services. Another important service in the application is the API which is used as a link between an application and other applications. In this research, API design and implementation have been carried out according to application needs by building functionality through the integration of API usage with cloud storage systems, analyzing time performance, operation success, and load testing. The results of functionality testing are carried out using the black box method which gets good results. The application of integration between cloud systems and API services is made to lighten the storage load because it is carried out on cloud storage. The results of performance testing with Jmeter get good response time results with an average of under 1 second, but some APIs get slow time gains caused by slow hashing processes for security and file handling.}, url = {https://eprints.untirta.ac.id/45163/}, keywords = {Pakaian, Sistem Rekomendasi, API, Cloud Storage, GCP} }