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Analisis Penerimaan & Belanja Daerah

Regional Fiscal Intelligence & Financial Data System

Role
Front-End & Systems Integration Engineer
Period
2024
Organisation
Kementerian PPN/Bappenas – SKALA Program

Overview

A high-density financial analytics interface providing regional decision-makers with comprehensive visibility into local revenue sources (PAD, transfer funds) and expenditure allocations.

Context

Evaluating regional fiscal health requires dissecting multi-year municipal budgets, identifying fiscal dependency, and monitoring spending compliance with mandatory national spending quotas.

Problem

Raw budget data locked in legacy spreadsheets made cross-district comparisons and long-term fiscal trend analysis virtually impossible for decision makers.

Approach

Designed an analytical dashboard featuring synchronized financial chart visualizations, fiscal capacity indices, and automated compliance trackers.

Flow

  1. 01

    Budget Ingestion

    Standardizing regional revenue and expenditure ledgers

  2. 02

    Fiscal Classification

    Categorizing spending into capital, operational, and social grants

  3. 03

    Comparative Analytics

    Benchmarking district revenue trends against national averages

  4. 04

    Fiscal Health Reporting

    Generating executive summaries on regional fiscal independence

Technical challenges

  • Presenting deeply nested accounting hierarchies (rekening belanja/pendapatan) without overwhelming the user.
  • Ensuring lightning-fast visual updates when pivoting across dozens of provinces and hundreds of districts.

Engineering decisions

  • Built custom data-adapter pipelines to flatten hierarchical budget accounts into optimized chart payloads.
  • Employed virtualization for high-row tabular views and vector charting for crisp rendering at any screen resolution.

What shipped

  • Synchronized financial breakdown charts and trend lines
  • Fiscal space and fiscal dependency ratio modeling
  • Comparative regional benchmarking across Indonesian regencies

Stack

Vue.js · Nuxt.js · Tailwind CSS · amCharts · Financial Data Analytics · REST APIs