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Analisis Sistem Pengolahan Lahan Pertanian Padi Sawah Desa Meler Kecamatan Ruteng Kabupaten Manggarai Muda, Maria Yuniati; Hasan, Muhammad Husain; Sunimbar, Sunimbar
Journal of Education Research Vol. 5 No. 3 (2024)
Publisher : Perkumpulan Pengelola Jurnal PAUD Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37985/jer.v5i3.1571

Abstract

Curah hujan di Kabupaten Manggarai merupakan curah hujan tertinggi di Provinsi Nusa Tenggara Timur namun demikian masih terjadi gagal panen yang diakibatkan oleh beberapa factor diantaranya hama dan anomaly cuaca ekstrim beberapa tahun terakhir. Penelitian ini bertujuan: untuk mengetahui sistem pengolahan lahan pertanian padi sawah Desa Meler Kecamatan Ruteng Kabupaten Manggarai. Penelitian ini merupakan penelitian kualitatif dengan pendekatan studi kasus kewilayahan. Metode pengumpulan data mengunakan wawancara, observasi dan dokumentasi. Hasil penelitian ini menjukan bahwa: 1) dalam pengolahan lahan pertanian melibatkan semua gender baik laki-laki maupun perempuan.2) Kebijakan pemerintah desa maupun adat mengikat aktivitas pertanian masyarakat lodok .3) aktivitas pertanian dilakukan dua kali setahun yaitu januari sampai mei dan juni sampai desember. 4) Penggunaan alat pertanian menggunakan alat tradisional dan modern 5) varietas padi yang dominan digunakan adalah padi  longko rembung.
UTILIZATION OF LANDSAT 7 AND 8 IMAGES FOR MAPPING OF CHANGES IN THE NORTH COAST MANGROVE AREA, AESESA DISTRICT Wea, Maria Matilda; Rahmawati, Arfita; Hasan, Muhammad Husain
GeoEco Vol 9, No 2 (2023): GeoEco July 2023
Publisher : Universitas Sebelas Maret (UNS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/ge.v9i2.72467

Abstract

In 2019 there was damage to the mangrove forest which was converted into fish ponds by cutting down 200 hectares of mangrove land in Aeramo Village, which is the northern coastal area of Aesesa District, Nagekeo Regency. This study aims to map changes in mangrove areas and determine mangrove density values.This study uses the NDVI (Normalized Difference Vegetation Index) analysis technique to determine the density of mangrove vegetation in 2011, 2016 and 2021 using Landsat 7 and Landsat 8 imagery and uses an overlay analysis technique from the results of classifying mangrove density classes to determine changes in the area of mangrove areas. The results of the study show that the mangrove area on the north coast of Aesesa District shows density values that vary with The range of vegetation density index in Landsat 7 imagery in 2011 is from -0.573770464 to 0.54666682, in 2016 it has a vegetation density index range from -0.291984737 to 0.609456897 and in 2021 it has a vegetation density index range from -0.067266561 to 0.579148531 which is divided into 5 density classes namely; very rare, rare, moderate, rare and very tight. Based on the classification results, the results of changes in the mangrove area decreased to the medium class with forest area from 102.35 hectares to 66.86 hectares from 2011 to 2016 and experienced the largest increase in the very dense class in 2011-2016 where the forest area was in the very dense class. meeting from 128.86 hectares to 210.65 hectares.