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All Journal Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) Marine Research in Indonesia Majalah Ilmiah Pengkajian Industri
Kristijono, Agus
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Aerospace Engineering Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Earth & Planetary Sciences Engineering Environmental Science Industrial & Manufacturing Engineering Transportation

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OCEANOGRAPHIC CHARACTERISTICS OF KLABAT BAY, BANGKA ISLAND, INDONESIA Sachoemar, Suhendar I.; Kristijono, Agus; Yanagi, Tetsuo
Marine Research in Indonesia Vol 32 No 2 (2007)
Publisher : Research Center for Oceanography - Indonesian Institute of Sciences (LIPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (7904.544 KB) | DOI: 10.14203/mri.v32i2.437

Abstract

The oceanographic characteristics of Klabat Bay in Bangka Island of Indonesia were investigated by using a series of temperature, salinity, turbidity, TSS (total suspended solid), transparency, DIN (Dissolved Inorganic Nitrogen), DIP (Dissolved Inorganic Phosphorus), DO (Dissolved Oxygen) and chlorophyll-a data in the wet season (Northwest Monsoon) and dry season (Southeast Monsoon) of 2003, respectively. The observation results show that the hydro-oceanographic characteristics of Klabat Bay in the inner part and the outer part of the bay were dominantly influenced by the terrestrial and oceanic environment, respectively. High precipitation during the wet season decreased salinity, DO and transparency and increased total suspended solid (TSS), turbidity, DIN and chlorophyll-a within the bay. The reverse occurred during the dry season, except DIP.
MACHINE LEARNING APPLICATION IN RESPONSE TO DISASTER RISK REDUCTION OF FOREST AND PEATLAND FIRE: Impact-Based Learning of DRR for Forest, Land Fire and Peat Smouldering Riza, Hammam; Santoso, Eko Widi; Kristijono, Agus; Melati, Dian Nuraini; Prawiradisastra, Firman
Majalah Ilmiah Pengkajian Industri Vol. 14 No. 3 (2020): Majalah Ilmiah Pengkajian Industri
Publisher : Deputi TIRBR-BPPT

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29122/mipi.v14i3.4426

Abstract

Peat forest is a natural swamp ecosystem containing buried biomass from biomass deposits originating from past tropical swamp vegetation that has not been decomposed. Once it burns, smoldering peat fires consume huge biomass. Peat smoldering fires are challenging to extinguish. These will continuously occur for weeks to months. Experts and practitioners of peat smoldering fires are the most recommended effort to prevent them before they occur with the strategy: 'detect early, locate the fire, deliver the most appropriate technology.' Monitoring methods and early detection of forest and land fires or 'wildfire' have been highly developed and applied in Indonesia, for example, monitoring with hotspot data, FWI (Fire Weather Index), and FDRS (Fire Danger Rating System). These 'physical simulator' based methods have some weaknesses, and soon such methods will be replaced by the Machine Learning method as it is developing recently. What about the potential application of Machine Learning in the forest and land fires, particularly smoldering peat fires in Indonesia? This paper tries to answer this question. This paper recommends a conceptual design: impact-based Learning for Disaster Risk Reduction (DRR) of Forest, Land Fire, and Peat Smouldering. Keywords: Artificial Intelligence; Machine Learning; Wildfire; Peat Smouldering; DRR impact-based
PENATAAN KAWASAN PASCA BENCANA TANAH LONGSOR DI PUNCAK PASS, KECAMATAN CIPANAS, KABUPATEN CIANJUR TANGGAL 28 MARET 2018 Sri Naryanto, Heru; Prawiradisastra, Firman; Kristijono, Agus; Ganesha, Deliyanti
Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) Vol 9 No 4 (2019): Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan
Publisher : Pusat Penelitian Lingkungan Hidup, IPB (PPLH-IPB) dan Program Studi Pengelolaan Sumberdaya Alam dan Lingkungan, IPB (PS. PSL, SPs. IPB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jpsl.9.4.1053-1065

Abstract

Landslides often occur in Indonesia, including in Puncak which is a tourist area. A landslide disaster occurred at Puncak Pass, Cipanas Sub-district, Cianjur District, West Java on Wednesday, March 28, 2018 at around 08.00 PM. Typology of landslides that occur is a debris slide consisting of debris materials such as soil, rocks and large trees, and form a basin such as the shape of a horseshoe on the former landslide. Landslide occurred on the slope of the road and destroyed the hotel building, the park behind the hotel and pine forest. Many factors that influence the occurrence of landslide in Puncak Pass, from the analysis there are three main factors causing the landslide: the topography of the landslide is very steep, the occurrence of heavy rain for several consecutive days before the occurrence of landslides, and the slope which always disrupted the transport load of vehicles on it. Arrangement of landslide areas is very important to re-arrange the sustainable condition of the area against similar landslide disaster in the future. These arrangements are: handling of landslides during emergency response, determining the location of new road development, water and drainage management, cliff strengthening, land management, potentially affected settlements, and landslide disaster management. Keywords: Landslide, Puncak Pass, debris slide, sustainable safe area arrangement
Co-Authors Ganesha, Deliyanti Melati, Dian Nuraini Prawiradisastra, Firman Riza, Hammam Sachoemar, Suhendar I. Santoso, Eko Widi Sri Naryanto, Heru Yanagi, Tetsuo