Brilliance: Research of Artificial Intelligence
Vol. 5 No. 2 (2025): Brilliance: Research of Artificial Intelligence, Article Research November 2025

Development of Sustainable Curriculum Management System with Server-Driven Go and Next.js

Fitrianto, Adi (Unknown)
Kangadi, Farel Artanto (Unknown)
Rizki, Sestri Novia (Unknown)
Lestari, Verra Budhi (Unknown)
Jaya, Eko Amri (Unknown)



Article Info

Publish Date
14 Aug 2025

Abstract

Curriculum management is a crucial aspect of educational administration, encompassing the planning, organization, and continuous updating of course data and curriculum structures. In many educational institutions, including those in Jakarta, this process still encounters challenges such as inefficiency, data duplication, inconsistent information flow, and high system maintenance overhead. These issues often result in delays, administrative burdens, and reduced productivity. This research aims to develop a sustainable curriculum management system by leveraging Go technology on the backend and Next.js on the frontend, adopting a server-driven approach to minimize processing loads on client devices, improve resource efficiency, and ensure faster data delivery. The system development method employs an iterative approach with the integration of ten supporting technologies, including server-side data fetching, Backend for Frontend (BFF), OpenAPI 3 with code generation, Redis caching, tag-based revalidation, Server-Sent Events (SSE), component-based UI, image optimization, and asynchronous job queues for heavy tasks. The system integrates course and curriculum name management into a single, responsive, secure, and easily extensible platform. Implementation results demonstrate that the approach can reduce maintenance complexity, improve data consistency, and significantly enhance application response time under varying loads. Furthermore, the system supports sustainable software engineering principles, enabling scalability and adaptability to future needs. Consequently, it offers an effective, long-term solution for curriculum management, contributing to operational efficiency and the overall quality of academic administration in educational institutions across Jakarta.

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Journal Info

Abbrev

brilliance

Publisher

Subject

Decision Sciences, Operations Research & Management Mathematics Other

Description

Brilliance: Research of Artificial Intelligence is The Scientific Journal. Brilliance is published twice in one year, namely in February, May and November. Brilliance aims to promote research in the field of Informatics Engineering which focuses on publishing quality papers about the latest ...