eprintid: 75406
rev_number: 20
eprint_status: archive
userid: 12460
dir: disk0/00/07/54/06
datestamp: 2026-04-01 07:07:20
lastmod: 2026-04-01 07:07:20
status_changed: 2026-04-01 07:07:20
type: thesis
metadata_visibility: show
contact_email: muh.khabib@uin-suka.ac.id
creators_name: Muhammad Afrizal, NIM.: 22106050078
title: RANCANG BANGUN EKSTENSI VISUAL STUDIO CODE UNTUK OTOMATISASI DOKUMENTASI, PENGUJIAN, DAN ANALISIS KEAMANAN PADA APPLICATION PROGRAMMING INTERFACE (API)
ispublished: pub
subjects: 005.12.
divisions: Informatika(S1)
full_text_status: restricted
keywords: VS Code, IDE, Ekstensi, Next.js, API, Generative AI, ISO/IEC 25010.
note: Muhammad Didik Rohmad Wahyudi, S.T., MT.
abstract: 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.
date: 2026-03-04
date_type: published
pages: 182
institution: UIN SUNAN KALIJAGA YOGYAKARTA
department: FAKULTAS SAINS DAN TEKNOLOGI
thesis_type: skripsi
thesis_name: other
citation:   Muhammad Afrizal, NIM.: 22106050078  (2026) RANCANG BANGUN EKSTENSI VISUAL STUDIO CODE UNTUK OTOMATISASI DOKUMENTASI, PENGUJIAN, DAN ANALISIS KEAMANAN PADA APPLICATION PROGRAMMING INTERFACE (API).  Skripsi thesis, UIN SUNAN KALIJAGA YOGYAKARTA.   
document_url: https://digilib.uin-suka.ac.id/id/eprint/75406/1/22106050078_BAB-I_IV-atau-V_DAFTAR-PUSTAKA.pdf
document_url: https://digilib.uin-suka.ac.id/id/eprint/75406/2/22106050078_BAB-II_sampai_SEBELUM-BAB-TERAKHIR.pdf