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PERAN PEREMPUAN DALAM APLIKASI SISTEM AGROFORESTRI DI KELURAHAN LALODATI KECAMATAN PUUWATU KOTA KENDARI La De Ahmaliun
Jurnal Celebica : Jurnal Kehutanan Indonesia Vol 3, No 2 (2022)
Publisher : Halu Oleo University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33772/jc.v3i2.29668

Abstract

The management of agroforestry systems is quite complex because it is a combination of the fields of study of forestry science with agriculture and even animal husbandry. Agroforestry is not a gender neutral system, because it involves men and women in every aspect of the work mechanism. This study aims to describe the role of women in the application of agroforestry systems in the Lalodati Village, Puuwatu District, Kendari City. This research is a quantitative research with a qualitative descriptive approach. The population of this research is all people who live in Lalodati Village, Puuwatu District, Kendari City. Determination of the sample was determined by purposive sampling of 41 people with the criteria of being a housewife, owning agricultural land as agroforestry land and work as a farmer. The results of the study show that the role of women in the application of agroforestry systems is viewed from three aspects, namely: (a) Business governance: the level of women's role is in the high role category with a percentage of 90.2% or with a total of 37 respondents; (b) Regional governance: the level of the role of women is categorized as having a fairly high role with a percentage of 51.2% or a total of 21 respondents; (c) Institutional governance: the level of women's role is in the low category with a percentage of 46.3% or with a total of 19 respondents
ANALYSIS DYNAMIC OF LAND SURFACE TEMPERATURE (LST) AND NORMALIZED DIFFERENCE VEGETATION INDEX (NDVI) WANGGU WATERSHED, SOUTHEAST SULAWESI Vivi Fitriani; La Gandri; Lies Indriyani; Sahindomi Bana; La De Ahmaliun
Jurnal Ilmu Ilmu Kehutanan Vol. 7 No. 1 (2023)
Publisher : Jurusan Kehutanan Fakultas Pertanian Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31258/jiik.7.1.49-57

Abstract

LST and NDVI analysis in DAS Wanggu utilizes Landsat 9 satellite remote sensing. LST calculations usde thermal band 10 and NDVI used Red band (Band 4) and InfraRed Band (Band 5). There are 5 LST classes, 17.25 oC -19.66 oC with an area of 908.16 Ha, 19.66 0C-22.08 oC covering 6973.71 Ha, 22.08 oC -24.49 oC covering 21748.26 Ha, 24.49 oC -26.90 oC covering an area of 4235.37 Ha, and 26.90 oC -29.31 oC with a wide coverage of 81.18 Ha, while NDVI values obtained 3 classes namely NDVI <0.2 of 1783.643 Ha, NDVI with a range of 0.2 – 0.5 covering an area of 28617.74 Ha, and areas with NDVI > 0.5 covering an area of 3544.87 Ha. The amount of LST is highly dependent on the type of land cover and land use. NDVI indicates the presence of vegetation in the study area. A negative relationship was found between LST and NDVI in DAS Wanggu with a Correlation Coefficient of -0.179.
Analysis of the Biophysical Environmental Impact of Sand Mining in Mawasangka District, Central Buton Regency Gandri, La; Munara, Agil Aqshan Nor; Sudia, La Baco; Indriyani, Lies; Bana, Sahindomi; La De Ahmaliun
Journal of Soilscape and Agriculture Vol. 1 No. 2 (2023): March 2023
Publisher : University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (672.798 KB) | DOI: 10.19184/jsa.v1i2.265

Abstract

The rise of illegal or unlicensed sand mining by irresponsible individuals has caused damage along the coast of Mawasangka District, Central Buton Regency. This study aims to identify the biophysical environmental impacts due to illegal sand mining in the coastal District of Mawasangka Buton and recommendations for post-sand mining land management. The method used in this study was direct observation to determine changes in the coastline and types of damaged vegetation, normalized difference vegetation index (NDVI) analysis to determine the density of vegetation on post-mining land, and measuring the depth of excavation. The results showed that there had been 321 m of beach abrasion and the types of vegetation damaged were coconut, acacisa and jaran wood trees. The results of the NDVI analysis show that non-green space around the mining area is 33.63 ha, while very low vegetation density is 41.91 ha, and low vegetation is 330.05 ha, while the rest is moderate and high vegetation covering 605.47 ha. Measurement of the depth of excavation ranged from 0.6 m – 2.3 m with good and moderate categories. Management of coastal post-mining land in the Mawasangkan sub-district is directed as pond land and revegetation.