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Rifa’i, Muhammad Ahsin
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Environmental Science

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ANALISIS KANDUNGAN KARBON PADA KERAPATAN VEGETASI MANGROVE ALAMI DAN REHABILITASI DI SUAKA MARGASATWA KUALA LUPAK Putri, Rieska Paramita Nilateja; Rifa’i, Muhammad Ahsin; Asy’ari, Mufidah; Fatmawati, Fatmawati
EnviroScienteae Vol 19, No 4 (2023): ENVIROSCIENTEAE VOLUME 19 NOMOR 4, NOVEMBER 2023
Publisher : Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/es.v19i4.17898

Abstract

Global warming is one of the principal environmental issues that have a major impact on the world and life. One of the principal causes of global warming is the increase in greenhouse gases such as carbon dioxide. The mangrove forest is a carbon-absorbing area. The Kuala Lumpur wildlife reserve includes a representative of the mangrove forest-forest ecosystem with the conservation area that boasts natural mangrove forest vegetation and rehabilitation mangroves. The study aims to estimate biomass and carbon content on the natural mangrove vegetation and rehabilitation in the Kuala Lumpur wildlife reserve. The variables observed are mangrove vegetation (natural and rehabilitation), the level of severity (seldom, moderate, dense) as much as 3 times of the deuteronomy of mangrove vegetation (1a, 2a, 3a) and the mangrove rehabilitation (1b, 2b, 3b). Biomass measurements use allometric equations with carbon content obtained from biomass by 47%. The results showed the average biomass in the natural mangrove region at 434.3 tons /ha and in the rehabilitation area had an average of 11 tons /ha. Whereas the average carbon content in natural mangrove is 204.1 tons /ha and at the rehabilitation area of 5.2 tons /ha.
ANALISIS INDEKS KERENTANAN PANTAI TAKISUNG KABUPATEN TANAH LAUT PROVINSI KALIMANTAN SELATAN Refki, Akhmad; Asmawi, Suhaili; Rifa’i, Muhammad Ahsin; Hafizianor, Hafizianor
EnviroScienteae Vol 19, No 3 (2023): ENVIROSCIENTEAE VOLUME 19 NOMOR 3, AGUSTUS 2023
Publisher : Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/es.v19i3.17276

Abstract

ANALYSIS OF SEAWEED CULTIVATION DEVELOPMENT STRATEGIES IN MUARA PAGATAN VILLAGE SUB-DISTRICT KUSAN HILIR DISTRICT TANAH BUMBU Al Mughni, Muhammad Johari; Rifa’i, Muhammad Ahsin; Tony, Frans; Syahdan, Muhammad
EnviroScienteae Vol 20, No 3 (2024): ENVIROSCIENTEAE VOLUME 20 NOMOR 3, AGUSTUS 2024
Publisher : Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/es.v20i3.20016

Abstract

Seaweed is a food commodity with benefits in the food industry, pharmaceuticals and others. Muara Pagatan Village is located in Kusan Hilir District, Tanah Bumbu Regency. According to Mughni (2021), Muara Pagatan Village has 12 households with seaweed cultivation. Based on that, it is necessary to study the development strategy of seaweed cultivation in Muara Pagatan Village. The approach used in the acquisition of seaweed aquaculture development strategies is the SWOT approach (strengths, weaknesses, opportunities and threats) and a participatory approach involving stakeholders, government and the community of Muara Pagatan Village, this research uses questionnaires distributed to representatives of RTP Muara Pagatan Village. The results of this study include 4 SWOT parameters which include, strengths in the form of land feasibility/potential, growth rate, accessibility and quality of seeds, for weaknesses in the form of limited capital, less innovative and not optimal production results. Meanwhile, opportunities include high demand, cooperation with other parties, government assistance, lack of competitors and availability of labor, for threat parameters include industrial activities, pests and diseases, weather, abrasion and prices. After that, SWOT analysis was carried out in obtaining seaweed cultivation development strategies, there were 9 priority strategies obtained based on SWOT parameters.
ANALISIS BANJIR SUNGAI MENGGUNAKAN MODEL HEC-RAS DI WILAYAH DAS TABANIO KABUPATEN TANAH LAUT PROVINSI KALIMANTAN SELATAN Prayogo, Shonu Dwi; Syahdan, Muhammad; Ridwan, Ichsan; Rifa’i, Muhammad Ahsin
EnviroScienteae Vol 19, No 4 (2023): ENVIROSCIENTEAE VOLUME 19 NOMOR 4, NOVEMBER 2023
Publisher : Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/es.v19i4.17817

Abstract

This study aims to determine the amount of water runoff and water depth in the Tabanio Watershed, Tanah Laut Regency. The study was conducted using the HEC-RAS software to generate a flood simulation model. Data analysis included Digital Elevation Model for National Scale (DEMNAS) data, flood discharge data, rainfall data, river bathymetry, and tidal data. DEMNAS data was obtained from the website of the National Geospatial Information Agency (BIG), rainfall data was obtained from the Center for Hydrometeorology and Remote Sensing (CHRS) website. Rainfall data analysis involves selecting the maximum daily rainfall value to determine the flood discharge. The hourly flood discharge is calculated using the Synthetic Unit Hydrograph method with the Nakayasu approach. River bathymetry data is processed as additional data for DEM, with interval recording done every 0.2 seconds. Tide data was obtained through prediction based on the location constant closest to the research area and analyzed using the Pasut.exe software for a period of 6 days. Based on the results of flood analysis research using the HEC-RAS model in the Tabanio Watershed, Tanah Laut Regency, South Kalimantan Province, it can be concluded that the model results show the water depth and area of water runoff at maximum discharge. as follows: less than 0.5 meters with a very low category covering an area of 4,168.86 hectares, 0.51 to 1.5 meters with a low category covering an area of 6,417.79 hectares, 1.51 to 2.5 meters with a medium category covering an area of 1,987, 25 hectares, 2.51 to 3.5 meters with a high category of 741.47 hectares, and above 3.51 meters with a very high category of 113.69 hectares. So that the total water runoff reaches 13,429.05 hectares.
Co-Authors Al Mughni, Muhammad Johari Asmawi, Suhaili Asy’ari, Mufidah Fatmawati Fatmawati Hafizianor Hafizianor, Hafizianor Ichsan Ridwan Muhammad Syahdan Prayogo, Shonu Dwi Putri, Rieska Paramita Nilateja Refki, Akhmad Tony, Frans