Claim Missing Document
Check
Articles

Found 13 Documents
Search

Faktor-Faktor yang Memengaruhi Persepsi Petani alam Penggunaan Psb (Photosynthetic Bacteria) Sebagai Stimulan Pertumbuhan Tanaman Padi Sawah Febrimeli, Dwi; Suherma, Mita; Herawaty, Herawaty
Jurnal Sosial Ekonomi Pertanian Vol 21 No 2 (2025): Juni, 2025
Publisher : Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20956/jsep.v21i2.41645

Abstract

The use of Photosynthetic bacteria (PSB) as a growth stimulant for rice plants to increase productivity is new for farmers. The purpose of this study is to analyze the level of farmer perception and the factors that influence farmer perception in the use of PSB. This study was conducted from March to June 2024. Data collection methods were unstructured interviews and questionnaires that had been tested for validity and reliability. The data analysis method used was a Likert scale and multiple linear regression. The results of the study showed that the level of farmer perception in the use of PSB as a growth stimulant for rice plants was classified as moderate, with a percentage of 57.6%. This indicates that farmers have begun to accept and understand the use of PSB as a rice plant stimulant. Farmer perceptions are influenced by factors of knowledge, land area, cosmopolitanism, innovation characteristics, and intensity of extension, but the factor that has a very significant influence is the social environment.
Revealing Carbon Patterns Across Mangrove Density Variations Using Sentinel-2 NDVI Nasir, Anugrahandini; Herawaty, Herawaty; Ismail, Ismail; Syah, Muh Izzul Muslimin
Jurnal Wasian Vol. 12 No. 02 (2025): December
Publisher : Forestry Department, University of Muhammadiyah Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62142/rbh1zd16

Abstract

Mangrove ecosystems play a crucial role in maintaining the balance of coastal ecosystems and mitigating climate change due to their ability to absorb and store carbon. This study aims to estimate carbon stocks across different mangrove density levels on Bangko-bangkoang Island, Pangkep Regency, South Sulawesi Province. The methods employed include Sentinel-2 imagery analysis using the Google Earth Engine platform to identify vegetation density based on the Normalized Difference Vegetation Index (NDVI) and estimate carbon stocks using an allometric model and field data. The Sentinel-2 image analysis revealed that the mangrove vegetation cover on Bangko-bangkoang Island spans 16.04 ha. NDVI results show that mangroves in the low-density class cover 8.97 ha (56%), the medium-density class covers 3.71 ha (23%), and the high-density class covers 3.34 ha (21%). Field surveys confirmed the presence of three mangrove species on the island: Rhizophora mucronata, Rhizophora stylosa, and Sonneratia alba. Regression analysis conducted to assess the relationship between NDVI values and carbon stocks revealed the best model as an exponential function with the equation y = 0.0043e(11.726x), yielding a coefficient of determination (R²) of 0.683. The average carbon stock for the low-density class is 22.35 tons C/ha, for medium density is 67.1 tons C/ha, and for high density is 111.85 tons C/ha. These findings emphasize the important role of mangroves in climate change mitigation and provide scientific evidence for mangrove conservation efforts, particularly in enhancing vegetation density to optimize carbon storage.
KOMPOSISI STRUKTUR DAN ESTIMASI CADANGAN KARBON DI PULAU BANGKO-BANGKOANG KABUPATEN PANGKEP Herawaty, Herawaty; Nasir, Anugrahandini Nasir; Andraini, Dea Ekaputri; Ismail, Ismail
Jurnal Eboni Vol. 7 No. 2 (2025): Desember
Publisher : Program Studi Kehutanan Universitas Muslim Maros

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46918/eboni.v7i2.2965

Abstract

Mangrove ecosystems play a crucial role in climate change mitigation, particularly in carbon storage. This study was conducted on Bangko-Bangkoang Island, Pangkep District, South Sulawesi, to assess the carbon stock and species composition of mangroves in the area. The aim of this research was to analyze the aboveground biomass and carbon sequestration potential of the mangrove ecosystem. Field data were collected using a systematic sampling technique with a random start, where 20 x 20-meter plots were established. Biomass was calculated using allometric equations, and carbon stock was determined and converted to CO2 equivalent. The results showed that Rhizophora mucronata contributed the largest carbon stock, with 592.91 tons per hectare, equivalent to 2173.99 tons per hectare CO2-eq. Rhizophora stylosa stored 118.89 tons of carbon per hectare, equivalent to 435.94 tons per hectare CO2-eq, while Sonneratia alba stored 14.30 tons of carbon per hectare, equivalent to 52.45 tons per hectare CO2-eq. This study highlights the importance of mangrove conservation as a strategy for climate change mitigation, given its significant capacity for carbon storage and CO2 emission reduction