Simulation ini menggunakan regression coefficients untuk mengira kemungkinan undi.
Pilih bilangan iterations untuk menjalankan simulation:
๐ Keputusan Monte Carlo
Running Monte Carlo Simulation...
๐ Baseline Election Data (Reference)
Parti
2018
2021
Perubahan
BN
4,450
3,663
-787
PH
5,213
3,104
-2,109
PN/PAS
1,391
2,208
+817
Total Votes
11,054
9,033
-2,021
Demografi
Nilai
Pengundi Berdaftar (2022)
19,189
Melayu
69%
Cina
22%
India
9%
Bawah 40 tahun
53.9% (10,336)
โ๏ธ Editable Variables (16 Inputs)
Monte Carlo Iterations:
๐ Before vs After Comparison
Metrik
Baseline 2021
Simulated Result
Perubahan
Running 10,000 Monte Carlo simulations...
๐ฏ Simulation Results
BN Estimated Votes
-
-
PH Estimated Votes
-
-
PN Estimated Votes
-
-
Win Probability
-
-
-
๐ Vote Distribution Chart
๐ฒ Monte Carlo Simulation Comparison
๐ Mathematics-Based Models - Detailed Tables
๐ฌ Sentiment & Ground Machinery Analysis
๐ฌ 10 Simulation Models - Summary
๐ Turnout Sensitivity Analysis
Scenario
Turnout %
PN Estimated Votes
๐ก Strategic Recommendations
๐ Laporan Analisis Bertulis
โ ๏ธ Disclaimer: Simulasi ini ialah assumption-based model, bukan ramalan mutlak. Ketepatan boleh ditingkatkan dengan data PDM, saluran, turnout mengikut umur/kaum, kajian lapangan dan sentiment data.