Design and Implementation of the Ulospedia DiTenun Backend Application

DiTenun, also known as Digital Tenun Nusantara, is a smart device that utilizes machine learning technology to create Ulos motifs. DiTenun generates new Ulos motifs by using pre-existing motifs, ensuring that the new motifs still embody the values inherent in Ulos. Currently, DiTenun lacks a feature that can offer detailed explanations about Ulos and weavers. This includes information on types of Ulos, Ulos history, Ulos functions, products related to Ulos, and other details about Ulos and weavers. Additionally, the mechanism for storing new motifs in the process of generating motifs is currently conducted separately. As a result, users face challenges in managing data related to Ulos motifs generated through this process. Consequently, this research aims to develop a new feature, namely Ulospedia DiTenun, which is to serve as an information source about Ulos and weavers. It is also to function as a platform for managing Ulos motifs generated during the motif generation process. In this research, the development of the Ulospedia DiTenun feature is to be focused on backend applications. This includes the creation of a database using MySQL and the development of an Application Programming Interface (API) using Java Spring Boot. The results of this implementation are to be integrated into the frontend side, and API tests are to be conducted. Additionally, a web test is to be performed as a result of integrating Ulospedia DiTenun. From this study, the author has successfully built 83 (eighty-three) API endpoints, which are categorized into 14 (fourteen) resources. These endpoints have passed the second iteration test.