%0 Thesis
%9 Skripsi
%A Muhammad Afrizal, NIM.: 22106050078
%B FAKULTAS SAINS DAN TEKNOLOGI
%D 2026
%F digilib:75406
%I UIN SUNAN KALIJAGA YOGYAKARTA
%K VS Code, IDE, Ekstensi, Next.js, API, Generative AI, ISO/IEC 25010.
%P 182
%T RANCANG BANGUN EKSTENSI VISUAL STUDIO CODE UNTUK OTOMATISASI DOKUMENTASI, PENGUJIAN, DAN ANALISIS KEAMANAN PADA APPLICATION PROGRAMMING INTERFACE (API)
%U https://digilib.uin-suka.ac.id/id/eprint/75406/
%X Tool fragmentation and the high intensity of context switching frequently reduce  developer productivity during the API development lifecycle, particularly within  the Next.js framework. This research aims to design and develop a Visual Studio  Code extension named "NextJS API Inspector" to automate documentation, testing  simulation, and early security analysis (Shift-Left Testing) utilizing the Google  Gemini artificial intelligence assistant. The study applied the Design and  Development (D&D) methodology, with feasibility testing based on the ISO/IEC  25010:2023 quality model, SonarQube static analysis, and a System Usability Scale  (SUS) evaluation involving 30 respondents. The testing results demonstrated that  the extension successfully met 9 main characteristics of ISO 25010 with a 100%  functional and compatibility success rate, a 100/100 performance efficiency score,  and achieved a Rating A (0 bugs, 0 vulnerabilities) in reliability, security, and  maintainability aspects. The user acceptance evaluation yielded an SUS score of  78.75, falling into the Good/Acceptable category. In conclusion, this extension is  proven to be functional, secure, and significantly enhances developer workflow  efficiency by reducing the cognitive load caused by application switching.
%Z Muhammad Didik Rohmad Wahyudi, S.T., MT.