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All Journal SOCA: Jurnal Sosial Ekonomi Pertanian EnviroScienteae Tropical Wetland Journal International Journal of Science and Environment Frontier Agribisnis AGRIDES: Jurnal Agribisnis Perdesaan
Ferrianta, Yudi
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Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Economics, Econometrics & Finance Education Environmental Science Mathematics Medicine & Pharmacology Physics Social Sciences Other

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Journal : EnviroScienteae

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Analisis Reduksi Emisi Gas Rumah Kaca Dari Pengelolaan Sampah Padat Di Kecamatan Marabahan Kabupaten Barito Kuala Provinsi Kalimantan Selatan Ihsan Fahri; Ahmad Kurnain; Rizqi Putri Mahyudin; Yudi Ferrianta
EnviroScienteae Vol 15, No 1 (2019): EnviroScienteae Volume 15 Nomor 1, April 2019
Publisher : Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (632.25 KB) | DOI: 10.20527/es.v15i1.6321

Abstract

This study analyzes the level and status of greenhouse gas emissions or removals from solid waste management activities in Marabahan Subdistrict, Formulates an action plan for solid waste management that is low in Greenhouse Gas emissions in Marabahan Subdistrict and Projects the level and status of emissions or Greenhouse Gas absorption from waste management solid in Marabahan District until 2030, according to the 2006 IPCC BAU scenario and mitigation actions. The waste sector greenhouse gas emissions inventory results in 2016 reached 5.16 Gg CO2-eq. However, due to improvements in domestic waste management, the 2016 greenhouse gas emissions rate was reduced by 11.1% compared to the BAU scenario. In 2016, waste sector greenhouse gas emissions in the BAU scenario are projected to reach 10.61 Gg CO2-eq, and will continue to grow until 2020 to 11.14 Gg CO2-eq, and in 2030 to 12.64 Gg CO2-eq. In Action Mitigation I waste management is carried out in the community by implementing methane recovery in the waste banks and TPS 3R. In Action Mitigation II, waste management is carried out at the Final Processing Site (TPA) carried out by the local government to handle it. When compared to the BAU scenario, the design of mitigation actions I and II in the context of reducing greenhouse gas emissions resulted in a decrease of 35.2%, 59.5% and 98.3% in 2013, 2020 and 2030.
ANALISIS PENGETAHUAN MITIGASI BANJIR PADA MASYARAKAT KABUPATEN BANJAR DENGAN PENDEKATAN METODE REGRESI LOGISTIK BINER Rahmadini, Rahmiyanti; Febrianty, Irma; Lilimantik, Emmy; Ferrianta, Yudi
EnviroScienteae Vol 20, No 1 (2024): ENVIROSCIENTEAE VOLUME 20 NOMOR 1, FEBRUARI 2024
Publisher : Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/es.v20i1.18883

Abstract

The largest flood condition in South Kalimantan Province occurred in 2021. The worst flooded area is Banjar Regency with 27,249 fatalities. Floods also affected the agriculture and fisheries sectors, causing agricultural land productivity to decrease to 87,598 tons from 2021 to 2020. A total of 1,838 aquaculture businesses suffered losses of up to 70 billion rupiah. The causes of flooding do not only come from natural factors but can come from other factors such as a lack of knowledge of flood mitigation, resulting in huge losses for the community. Previous research states that the factors that influence flood disaster mitigation are the level of education and income. This study aims to determine the factors that influence flood mitigation knowledge in Banjar Regency communities using the binary logistic regression method. The results of the study provide differences from previous studies, namely the environmental factor with category 1, the implementation of environmental management by the community affects flood mitigation knowledge with a p value (0.027) < α (0.05) and a value of W (2.2198) > Z_table (1.960). The odds ratio value shows that the probability of the Banjar Regency community having flood mitigation knowledge is 2.79 times greater than other variable categories. The model explains an influence of 31.6% with an AIC value of 125. The respondents flood mitigation knowledge in managing the environment includes all types and stages of flood disaster mitigation related to local wisdom in the respondents location, namely several terms such as "Apar-Apar, Jukung Terpal, Galangan, Kelambu Kolam". There are still some things that need to be maximized for flood mitigation knowledge, namely the formation of disaster resilient villages in Martapura City, East and West Sub-districts. Dissemination of information on climate-smart agriculture training to farmers. Realization of temporary waste bin facilities in Banjar Regency.
Co-Authors Abdul Aziz Abdullah Dja’far Abdurrahman Abdurrahman Ade Perdana Ahmad Kurnain Ahmad Yousuf Kurniawan Alfianor Alfianor Alif Wahyuning Tyas Anita Anita Anwar Fuady Dameria Feronica Danang Rizam Nuari Dedi Ardiansyah Dedi Santoso Desy Issana Sari Didik Eko Prasetyo Didit Gunawan Djoko Santoso Dwi Lufi Suprianto Eka Radiah Emmy Lilimantik Farras Dita Nurulhuda Hairi Firmansyah Hairil Ifansyah Hamdani Herni Safitri Ica Katisa Maharani Ihsan Fahri Ikka Mayrani Intan Permata Sari Irma Febrianty Irpansyah Irpansyah Ismi Norma Haqiqi Jonathan Jeremy Siahaan Kamila Abda Amara Kamiliah Wilda Kori Febriyani Leni Pebriani Lidiya Santi Lisa Oktaviani Luki Anjardiani Marhan Marhan Mariani Mariani Mariani Siallagan Masyhudah Rosni Mira Yulianti Muhammad Aldi Muhammad Fahmi Muhammad Fajar Wibawa Muhammad Fauzi Muhammad Husaini Muzdalifah Muzdalifah Nina Budiwati Norwinda Safitri Novia Grace Kristina Rezkillah Nur Anisah Nur Raisatur Rasyidah Nur Syifa Nurmelati Septiana Nuzula Almira Salsabila Obed Yunus Hasan Purba Pertiwi Pohan, Rana Raetsa Noviantie Rahmadini, Rahmiyanti Rian Aditya Yusuf Rieska Farida Rifiana Rifiana Rika Pebri Ramadhani Rima Oktavian Marfuah Risna Novita Rizqi Putri Mahyudin Sekar Darmayanti Utami Shafriani, Karimal Arum Sri Wahyuni Suprijanto Suprijanto Umi Salawati Usamah Hanafie Yanti, Nuri Dewi Yolanda Citra Dewi Yulianti Yulianti Yusuf Azis