JAKARTA - Executive Director of Charta Politics Yunarto Wijaya considers the installation of billboards by PDIP politician Puan Maharani and Golkar Chair Airlangga Hartato could backfire on themselves.

"The choice of using billboards, which people know uses billions of funds, will have a boomerang effect in a difficult crisis situation like today," Yunarto said in a virtual survey presentation, Thursday, August 12.

Yunarto saw that Puan and Airlangga had made a mistake if they wanted to increase their political electability by spending big money to display billboards everywhere.

Because, at this time the COVID-19 pandemic is ongoing and many people's economic conditions are slumped due to the pandemic. According to Yunarto, it would be better if the money disbursed for the billboards was used to help the people recover their economy.

"Why not use it to help people who are difficult? Moreover, both of them are decision makers who have great access to the party. So, I personally see this as a mistake from the conservative approach," said Yunarto.

This negative public sentiment towards Puan and Airlangga's billboards is evidenced in a survey regarding the electability level of the figures in relation to the 2024 presidential election.

Based on the electability survey with open choices as of July 2021, Ganjar Pranowo ranks at the top with 16.2 percent electability, then Prabowo 14.8 percent, and Anies Baswedan 14.6 percent.

Meanwhile, the names Puan Maharani and Airlangga have low electability. Puan is in 17th place and Airlangga is 18th with an electability of 0.7 percent each.

"If we try to use the empirical test that was most widely discussed in monitoring from Puan with Airlangga. The massive number of billboards and billboards has proven to be not linear with electability," he explained.

For information, this survey was conducted in the range of 12 to 20 July 2021. The sample was selected completely at random using the multistage random sampling method.

Respondents who took part in the survey were 1,200 people with a margin of error of around 2.83 percent at a confidence level of 95 percent.


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