The Corruption Eradication Commission Considers The Social Assistance Distribution Pattern Still To Be A Problem

JAKARTA - The Corruption Eradication Commission (KPK) said that the social assistance procurement system (bansos) was actually good. However, the problem that is currently happening is in the distribution pattern which is still bad.

"Don't talk about the impact. Talking about the right target so far, we are still confused", said KPK Deputy Chair Nurul Ghufron in an online discussion program broadcast on the Indonesian KPK YouTube channel, Thursday, August 18.

He said that from the beginning the problem in procuring social assistance actually lay in the data. According to Ghufron, the government has not yet found an effective formula to determine who needs to be given assistance.

Therefore, he advised that data validity needs to be strengthened at this time in order to determine who is entitled to receive assistance, especially during the current COVID-19 pandemic. The way to do this is to unite population data in ministries and institutions.

Ghufron said that if these data were not combined, what would happen in the field would be a double receipt of aid. Moreover, usually, each ministry or institution has different standards for people who are considered entitled to receive assistance.

"Sometimes in one ministry there are views or status of citizens of that country in many ways, resulting in duplication sometimes so that there are some people who may not even be able to because there are many duplications", he said.

Ghufron hopes that after the data on recipients of aid are integrated and verified, the government can provide assistance and there is no need to collect data many times, especially in the midst of a crisis like this.

In addition, the compilation of verified aid recipient data can close the gap for corruption and be more targeted. "Not only is public money not corrupted, but public money spent by the government will be right on target so that the expected effect and impact can be felt and we can measure it", said Ghufron.

"If the data is not accurate, the expected effects and impacts are difficult to measure", he concluded.