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Jakarta scenarios A, B, C

Adopted FY2026 is scenario A. B holds the estimated year (FY2025). C trims ledger offices and holds the total. Upload a proposed book, edit departments, then read the simulation against estimated and FY2024 actuals.

DepartmentAdopted FY2026FY2025 est.FY2024 actualScenario A
EducationIDR18.17T——
HealthIDR10.42T——
Public works and spatial planningIDR9.22T——
TransportationIDR6.78T——
Territorial administrationIDR5.77T——
EnvironmentIDR3.09T——
FinanceIDR3.02T——
Public order and community protectionIDR2.73T——
Housing and settlementsIDR1.65T——
SocialIDR1.53T——
City parks and forestryIDR1.51T——
Regional secretariatIDR1.4T——
Food, marine and agricultureIDR1.01T——
Communication, informatics and statisticsIDR995.41B——
Council secretariatIDR935.34B——
Women's empowerment and child protectionIDR923.52B——
InvestmentIDR754.05B——
Youth and sportsIDR714.36B——
National unity and politicsIDR579.73B——
TourismIDR574.2B——
CultureIDR464.41B——
Manpower, transmigration and energyIDR401.11B——
Industry, trade and cooperativesIDR315.11B——
Population and civil registrationIDR304.05B——
Libraries and archivesIDR281.02B——
InspectorateIDR229.1B——
PlanningIDR198.09B——
PersonnelIDR191.04B——
Education and trainingIDR124.28B——
29 of 29 departments · FY2026 APBD belanja daerah. The map is organizations named to one kota or kabupaten administrasi.

Simulated results vs estimated

Each scenario is scored against the estimated year the city already printed. When actuals exist, MAPE says which book would have been closer — and learned department biases project the next year.

MetricA · Adopted FY2026B · Across-the-board −3%C · Hold total · trim ledger offices
TotalIDR74.29TIDR72.06TIDR74.29T
Vs estimated———
Vs adopted0%-3%0%
Top 3 concentration50.9%50.9%51.2%
Largest increaseEducation 0%Education -3%Health +5.5%
Largest cutEducation 0%Education -3%Public works and spatial pla -6.7%
MAPE vs actuals (hindsight)needs actualsneeds actualsneeds actuals
Projected actual (learned)———
Scenario A flags

No automated risk callouts.

Scenario B flags

No automated risk callouts.

Scenario C flags

No automated risk callouts.

Measured · learned · improved

Learning starts when actuals land

This city's extract does not yet include a closed actuals year beside the estimate. The simulator still compares A/B/C to adopted and estimated; the learning loop turns on as soon as actuals are in the book.

Premium · Jakarta

$1,500 / month on mapped cities

Upload as many proposed books as you run through council. We keep the scenarios, score them when estimated and actuals move, and the model tightens. This preview runs in the browser on the extract we already hold; the paid feed stores the city's own proposed files.