JAKARTA - The survey agency Chartapolitika made four simulations of pairs of presidential candidates (candidates) and vice-presidential candidates in the 2024 General Election.
Among them are Gerindra Party Chair Prabowo Subianto, Golkar Chair Airlangga Hartarto, Central Java Governor Ganjar Pranowo, West Java Governor Ridwan Kamil, DKI Jakarta Governor Anies Baswedan, DPR Chair Puan Maharani, Tourism and Creative Economy Minister Sandiaga Uno, BUMN Minister Erick Tohir, PKB Chairperson Muhaimin. Iskandar, Democrat General Chair Agus Harimurti Yudhoyono and TNI Commander Andika Perkasa.
As a result, whoever pairs with the Governor of Central Java, Ganjar Pranowo, this pair has the potential to win the five-year contest.
In the first simulation, Chartapolitika noted that the highest electability fell for the Ganjar Pranowo-Ridwan Kamil pair of 34.8 percent. Followed by the pair Anies Baswedan-Agus Harimurti Yudhoyono (AHY) at 26.0 percent, and the pair Prabowo Subianto-Puan Maharani at 19.2 percent.
In the second simulation, the Ganjar Pranowo-Erick Tohir pair won with an electability of 33.9 percent. With the runner-up pair Anies Baswedan-AHY at 26.2 percent, and in third place the Prabowo-Puan pair at 20.3 percent.
While the third simulation, Ganjar Pranowo-Sandiaga Uno still excels with an electability of 36.3 percent. In second place is the pair Anies Baswedan-Airlangga Hartarto with 24.8 percent. And third, there is Prabowo-Puan with an electability of 18.7 percent.
While the fourth simulation, the Ganjar Pranowo-Andika Perkasa pair was the first with an electability of 33.2 percent. In second place, there is Anies Baswedan-Muhaimin Iskandar with 23.0 percent. And the third is Prabowo-Puan with an electability of 20.8 percent.
The Charta Politica survey was conducted in the period from November 29 to December 6, 2021 through face-to-face interviews using a structured questionnaire.
The number of samples involved were 1,200 respondents and spread across 34 provinces.
The methodology used is a multistage random sampling method with a margin of error of ± 2.83 percent at a 95 percent confidence level.
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