Claim Missing Document
Check
Articles

Found 3 Documents
Search

Monitoring of Post-fire Vegetation Succession on Peatland in Bengkalis Island, Riau Province Pudjawati, Nihawa Hajar; Pulunggono, Heru Bagus; Asy'Ari, Rahmat; Zulfajrin, Moh; Nurazizah, Lina Lathifah; Saputri, Hanum Resti; Rivai, Fathan Aldi; Setiawan, Yudi
Media Konservasi Vol. 30 No. 3 (2025): Media Konservasi Vol 30 No 3 September 2025
Publisher : Department of Forest Resources Conservation and Ecotourism - IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/medkon.30.3.423

Abstract

Peatlands are characterized by the accumulation of decomposed plant remains, which result in an organic carbon content of approximately 16 percent and form a layer at least 40 cm thick. Peat ecosystems play a crucial role in supporting biodiversity conservation, maintaining water availability, and regulating the climate. However, human activities threaten these functions, especially during the dry season, which often leads to extensive fires. Post-fire succession is a natural process through which the land attempts to restore its original state. Monitoring succession after peatland fires can be conducted using satellite-based remote sensing technology, which provides spatiotemporal information. This study utilized a time series of three Landsat satellites, namely Landsat 5 (TM), Landsat 8 (OLI), and Landsat 9 (OLI2), to monitor succession in burnt peat areas on Bengkalis Island from 2000 onward. Additionally, hotspot data from FIRMS NASA  and MODIS were incorporated. The results showed a total of 3,689 hotspots recorded between 2005 and 2023. The confirmed land cover types in the succession area include swamps, water bodies, and oil palm plantations. The information from this research is expected to inform policymaking by the government or peatland area managers, and serve as a reference for further studies.
Corrigendum to: “Monitoring of Post-fire Vegetation Succession on Peat Ecosystem Area in Bengkalis Island, Riau Province” [Media Konservasi, Vol 30 Issue 3, 2025, DOI: 10.29244/medkon.30.3.423] Pudjawati, Nihawa Hajar; Pulunggono, Heru Bagus; Asy’Ari, Rahmat; Zulfajrin, Moh; Nurazizah, Lina Lathifah; Saputri, Hanum Resti; Rivai, Fathan Aldi; Setiawan, Yudi
Media Konservasi Vol. 30 No. 3 (2025): Media Konservasi Vol 30 No 3 September 2025
Publisher : Department of Forest Resources Conservation and Ecotourism - IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/medkon.30.3.470

Abstract

This corrigendum corrects errors in the previously published article.
Wacana Media tentang Pengungkapan Data Tanpa Izin di Indonesia: Analisis Frekuensi Kata dan Cloud Rivai, Fathan Aldi
Info Kripto Vol 19 No 3 (2025)
Publisher : Politeknik Siber dan Sandi Negara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56706/ik.v19i3.127

Abstract

Pengungkapan data secara tidak sah semakin sering terjadi di Indonesia, memunculkan kekhawatiran publik terkait keamanan data pribadi. Fenomena ini menjadi perhatian media untuk membentuk narasi dan menyampaikan perspektif. Penelitian ini bertujuan untuk mengungkap bagaimana media mengonstruksi isu data melalui analisis frekuensi kata dan word cloud. Data dikumpulkan dari 212 artikel berita sepanjang tahun 2024 yang berasal dari CNN Indonesia, Detik, Kompas, dan Liputan6. Penambangan kata artikel dilakukan dan dianalisis menggunakan R untuk memperoleh kata-kata dominan yang membentuk narasi media. Hasil menunjukkan bahwa kata “bocor”, “akses”, “jual”, dan “curi” mendominasi pemberitaan, dengan penekanan besar pada tindakan, bukan hanya aktor atau lembaga. Kata kerja muncul lebih sering dibandingkan nama tokoh maupun institusi, menunjukkan bahwa media lebih fokus pada aksi dalam pemberitaan kebocoran data. Visualisasi word cloud memperkuat temuan ini, dengan ukuran kata kerja yang lebih mencolok. Kontribusi penelitian ini memberikan pemahaman terhadap wacana media dalam isu kebocoran data pribadi di Indonesia, dan mengungkap kecenderungan jenis kata yang dominan dimunculkan.