32 forest and land-fire cases from 2023-2025 remain unresolved, environment agency says
Translated from Indonesian and summarized by DistantNews. Read the original for the full story.
At a glance
- Indonesiaโs Environment Ministry and Environmental Control Agency said 32 forest and land-fire cases from 2023-2025 remain unresolved.
- The cases carry potential environmental losses of 5.30 trillion rupiah, according to Deputy Law Enforcement Director General Rizal Irawan.
- Authorities have also taken supervisory action against 19 companies in seven provinces, covering about 11,046.69 hectares of burned land.
Indonesia still has 32 forest and land-fire cases from 2023 to 2025 awaiting resolution, with potential environmental losses reaching 5.30 trillion rupiah, the Environment Ministry and Environmental Control Agency said.
Deputy Law Enforcement Director General Rizal Irawan said authorities handle the cases through administrative sanctions, environmental disputes or civil lawsuits, and criminal proceedings. Police investigators at provincial, district and national headquarters levels handle the criminal cases.
From 2023 to 2025, there are a total of 32 unresolved cases, with potential environmental losses of 5.30 trillion rupiah.
Separately, the ministry and agency have supervised 19 companies in seven provinces between January and Aug. 31, 2026. Measures include installing monitoring signs, sealing sites and other actions by environmental inspectors.
The companies cover areas across Sumatra and Kalimantan. Seven companies in West Kalimantan had 2,260.08 hectares of burned land, while four in South Sumatra had 772.72 hectares. South Kalimantan recorded the largest area, with three companies linked to 6,595.15 hectares. The total across all 19 companies stood at about 11,046.69 hectares.
Criminal cases will be handled by investigators from the Indonesian National Police, from regional police, district police and national police headquarters levels.
Originally published by CNN Indonesia in Indonesian. Translated, summarized, and contextualized automatically by DistantNews, with a note on how the source frames the story. Not individually reviewed before publishing. How this works.