Integrasi Artificial Intelligence pada Arsitektur Backend Next.js dan PostgreSQL di DISKOMINFO Kalimantan Barat

Fauzan Asrin; Muhammad Bayu Prasetyo; Khairul Hafidh

doi:10.59061/jentik.v4i2.1528

Authors

Fauzan Asrin Universitas Tanjungpura
Muhammad Bayu Prasetyo Universitas Tanjungpura
Khairul Hafidh Universitas Tanjungpura

DOI:

https://doi.org/10.59061/jentik.v4i2.1528

Keywords:

Backed system, Artificial Intelligence, Next.js, PostgreSQL.

Abstract

This study examines the implementation of a web-based backend system using Next.js and PostgreSQL, integrated with Artificial Intelligence, within the context of the West Kalimantan Communication and Informatics Agency (Diskominfo). The system is designed to replace manual data management processes—previously reliant on spreadsheets and disparate documents—which frequently resulted in delayed updates, synchronization difficulties, and inefficient reporting. Implementation efforts focused on developing a structured API, user authentication, role-based authorization, project data management, AI integration for analysis and automated summarization, and real-time notification support. The technologies employed include Next.js 15, React 18, TypeScript 5, Tailwind CSS, PostgreSQL (via Supabase), NextAuth.js, Supabase Realtime, and Google Gemini AI (via Firebase Genkit). A structured design approach was adopted to ensure effective management of workflows, data structures, and component relationships. The design results indicate that the system has the potential to enhance efficiency, access security, and data management quality within the West Kalimantan Diskominfo environment.

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