🇮🇩 Indonesia Macro Economic Intelligence Dashboard

R Shiny dashboard analyzing Indonesia's macroeconomic indicators: GDP, inflation, unemployment, investment, and regional inequality (2014–2023)

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📊 Dashboard Sections

Tab	Analysis
📈 PDB & Pertumbuhan	GDP growth 2014–2023, sector breakdown, post-pandemic recovery
🗺️ Peta Provinsi	Interactive provincial map: PDRB, growth rate, Gini coefficient
🔥 Inflasi	Monthly inflation 2022–2023, component breakdown, provincial heatmap
💼 Ketenagakerjaan	Unemployment trends, urban-rural gap, investment-employment correlation
💰 Investasi	FDI + DDI trends, sector allocation, Gini vs investment analysis

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🔑 Key Findings

• Sulawesi Tengah grew 13.06% in 2023 — fastest in Indonesia — driven by nickel downstream processing, but Gini rising
• Inflation peaked at 5.95% (Sep 2022) due to energy price shock; Bank Indonesia raised rates 225bps in 7 months
• Eastern Indonesia consistently records higher inflation (Maluku Utara 3.71% vs DKI Jakarta 2.31%) — structural logistics gap
• Investment hit Rp 2,092 trillion in 2023 (+18.9%) — 3rd consecutive year beating BKPM target
• Banten & West Java paradox: highest unemployment (7.97%, 7.44%) despite being top-5 GDP provinces

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🚀 Run Locally

install.packages(c("shiny","ggplot2","plotly","dplyr","tidyr","DT","scales"))
shiny::runApp(".")

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📁 Structure

indonesia-macro-intelligence/
├── app.R      ← UI + Server
├── global.R   ← All data + helpers (BPS, BI, BKPM)
└── README.md

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👤 Author

Arditya Sulistya Ningsih Apusing, S.Stat.
linkedin.com/in/ardityaapusing · github.com/ardityaapusing