JAKARTA - The Indonesian Political Indicators Survey Institute released the results of a recent poll showing the electability of Ganjar Pranowo's presidential candidate (readpres) to rebound or rise again.
The electability of the PDIP presidential reading has now succeeded in defeating Prabowo Subianto and Anies Baswedan in a simulation of three names carried out by Indonesian Political Indicators.
Ganjar's electability is 35.2 percent if the presidential election is held now. Then, Prabowo 33.2 percent and Anies only 23.9 percent.
"We ask the simulations of these three names again. Incidentally, among many names, only Ganjar, Anies, and Prabowo are dynamic and potential. The results are Ganjar 35.2 percent, Prabowo 33.2 percent, and Anies 23.9 percent," said the Main Researcher for Indicators, Burhanuddin Muhtadi when delivering the results of his survey, Friday, August 18.
He also said that the electability of presidential readings from year to year is very dynamic. However, according to him, in general, Ganjar's electability increase is on average higher than other presidential readings.
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"Elektabilitas capres naik turun, kita punya data pilihan publik kepada capres itu naik dan turun. Prabowo sempat unggul di sepanjang 2021-2022, lalu disalip Ganjar pada April 2022. Kemudian, pada 2023 Prabowo sempat menggantikan Ganjar dan sekarang lagi-lagi disalip (Ganjar di atas)," ujarnya.
"However, on average every year Ganjar consistently increases," he continued.
He also added that currently Ganjar voters are dominated by ethnic Javanese. As is known, Java itself is the key.
Etnik Jawa cenderung ke Ganjar, seking besarnya pemilih Jawa maka adalah kunci. Padahal Prabowo juga orang Jawa asal Banyumas, tetapi sebagian mungkin tidak melihat atau kurang tahu Prabowo punya latar belakang itu, sambungnya.
For information, this survey was conducted on July 15-21, 2023 with a survey population of all Indonesian citizens aged 17 years or older or married (voting criticism).
Then the total number of respondents was 1,811 using the multistage random sampling method and had a fault tolerance of around 2.35 or 2.4 percent.
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