R Shiny dashboard analyzing Indonesia's macroeconomic indicators: GDP, inflation, unemployment, investment, and regional inequality (2014โ2023)
| Tab | Analysis |
|---|---|
| ๐ PDB & Pertumbuhan | GDP growth 2014โ2023, sector breakdown, post-pandemic recovery |
| ๐บ๏ธ Peta Provinsi | Interactive provincial map: PDRB, growth rate, Gini coefficient |
| ๐ฅ Inflasi | Monthly inflation 2022โ2023, component breakdown, provincial heatmap |
| ๐ผ Ketenagakerjaan | Unemployment trends, urban-rural gap, investment-employment correlation |
| ๐ฐ Investasi | FDI + DDI trends, sector allocation, Gini vs investment analysis |
- Sulawesi Tengah grew 13.06% in 2023 โ fastest in Indonesia โ 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%) โ structural logistics gap
- Investment hit Rp 2,092 trillion in 2023 (+18.9%) โ 3rd consecutive year beating BKPM target
- Banten & West Java paradox: highest unemployment (7.97%, 7.44%) despite being top-5 GDP provinces
install.packages(c("shiny","ggplot2","plotly","dplyr","tidyr","DT","scales"))
shiny::runApp(".")indonesia-macro-intelligence/
โโโ app.R โ UI + Server
โโโ global.R โ All data + helpers (BPS, BI, BKPM)
โโโ README.md
Arditya Sulistya Ningsih Apusing, S.Stat.
linkedin.com/in/ardityaapusing ยท github.com/ardityaapusing