Ronny Loppies
Dosen Program Studi Kehutanan Universitas Pattimura, Ambon 97123

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TINGKAT KERAWANAN KEBAKARAN HUTAN DAN LAHAN MENGGUNAKAN SISTEM INFORMASI GEOGRAFIS (SIG) DI KOTA AMBON (STUDI KASUS DI JAZIRAH LEITIMUR SELATAN) Aldi Herdian; Aryanto Boreel; Ronny Loppies
JURNAL HUTAN PULAU-PULAU KECIL Vol 5 No 1 (2021): JHPPK
Publisher : Program Studi Manajemen Hutan, Pascasarjana Universitas Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/jhppk.v5i1.4001

Abstract

Limited data and the lack of use of Remote Sensing Technology and Geographic Information Systems (GIS) to map areas that are potentially prone to forest and land fires in Ambon City are one of the obstacles in handling forest and land fires. This study aims to identify the factors that cause forest and land fires, determine the level of vulnerability to forest and land fires and produce a digital map of forest and land fires in Jazirah Leitimur Selatan, Ambon City. The data used are Landsat 8 OLI/TIRS C1 Level-1 path/row 109/62 satellite imagery acquired on October 28, 2017. Hotspot data was obtained from FIRMS and Lapan Fire Hotspot. Data processing is done by using the method of overlaying variables that trigger the occurrence of forest and land fires. The results showed that the Jazirah Leitimur Selatan has the potential to be prone to forest and land fires with 76.6% of the area included in the vulnerable to very vulnerable category, while 23.4% is in the non-prone category.
ANALISIS KEBUTUHAN RUANG TERBUKA HIJAU DALAM MENYERAP EMISI KARBON DIOKSIDA DI KOTA AMBON Victor I. T. Malioy; Aryanto Boreel; Ronny Loppies
JURNAL HUTAN PULAU-PULAU KECIL Vol 6 No 1 (2022): JHPPK
Publisher : Program Studi Manajemen Hutan, Pascasarjana Universitas Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/jhppk.v6i1.5797

Abstract

This study aims to determine the total carbon dioxide emissions produced by residents and motor vehicles, determine the total absorption capacity of carbon dioxide emissions, and determine the addition of Green Open Space (GOS) to absorb carbon dioxide emissions in Ambon city. This study uses data of land cover, population and number of motor vehicles in Ambon city in 2018. This study utilizes the use of GIS and is analyzed quantitatively. The results showed that the total carbon dioxide emissions produced by residents and motor vehicles were 393,295.56 tons / year. Ambon City has a total vegetation area of 29,679.25 ha or 82.57%. The total absorptive capacity of carbon dioxide emissions is 2,261,575.75 tons and is capable of absorbing carbon dioxide emissions of 1,868,280.20 tons, so that the requirement of green open space at both city and district scale is not necessary to add green open space because it is still sufficient to absorb carbon dioxide emissions.
ANALISIS PERUBAHAN TUTUPAN LAHAN DI AREAL KONSESI IUPHHK-HA PT BINTANG LIMA MAKMUR KABUPATEN MALUKU TENGAH Ellen Papilaya; Ronny Loppies; Aryanto Boreel
JURNAL HUTAN PULAU-PULAU KECIL Vol 7 No 2 (2023): JHPPK
Publisher : Program Studi Manajemen Hutan, Pascasarjana Universitas Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/jhppk.v7i2.10437

Abstract

This study aims to analyze land cover in the concession area of IUPHHK-Ha PT. Bintang Lima Makmur, Analyzing land cover changes in the IUPHHK-Ha concession area of PT. BLM 2010-2020, and Identifying the factors causing land cover changes in the IUPHHK-Ha concession area of PT. BLM. This research uses Landsat 7 ETM satellite imagery in 2010 and Landsat 8 OLI in 2015, 2020 (Path 108, Row 62). Downloaded directly from the United States Geological Survey (USGS) website (https://glovis.usgs.gov/). This study uses a guided classification, the results of land cover classification in 2010, 2015, and 2020 consisting of primary dry land forest, secondary dry land forest, shrubs, dry land mixed bush agriculture, open land, and bodies of water, from 2010 to 2020 the land cover class that experienced the largest change was secondary dryland forest at 25.25%, and the smallest was water bodies at 0.10%, and factors that influence land cover changes, namely; production activities of PT. BLM and also the livelihoods of local residents