The application of remote sensing technology and precision agriculture
Geographically Weighted Regression (GWR) is regression model that developed for data modeling with continuous respond variable and considering the spatial or location aspect. Leptospirosis case happened in some regions in Indonesia, including in Bantul District, Special Region of Yogyakarta. The purpose of this study are to determine local and global variable in making vulnerable area model of Leptospirosis disease, determine the best type of weighting function and make vulnerable area map of Leptospirosis. Alos satelite imagery as primary data to get settlement and paddy fields area. The others variable are the percentage of population’s age, flood risk, and the number of health facility that obtained from secondary data. Determinant variables that affect locally are flood risk, health facility, percentage of age 25-50 years old and the percentage of settlement area. Meanwhile, independent variable that affects globally is the percentage of paddy fields area. Vulnerability map of Leptospirosis disease resulted from the best GWR model which used weighting function Fixed Bisquare. There are 3 vulnerable area of Leptospirosis disease, high vulnerability area located in the middle of Bantul District, meanwhile the medium and low vulnerability area showed clustered pattern in the side of Bantul District. Abstrak Geographically Weighted Regression (GWR) adalah model regresi yang dikembangkan untuk memodelkan data dengan variabel respon yang bersifat kontinu dan mempertimbangkan aspek spasial atau lokasi. Kejadian Leptospirosis terjadi di beberapa wilayah di Indonesia termasuk di wilayah Kabupaten Bantul Daerah Istimewa Yogyakarta. Tujuan dari penelitian ini adalah menentukan variabel lokal dan global dalam membuat model kerentanan Leptospirosis dan menentukan jenis fungsi pembobot yang terbaik serta membuat peta kerentanan wilayah Leptospirosis menggunakan aplikasi GWR. Citra Satelit Alos digunakan untuk mendapatkan data penggunaan lahan, yang selanjutnya diturunkan menjadi prosentase luas permukiman dan sawah. Parameter lainya adalah prosentase umur penduduk, resiko banjir dan jumlah fasilitas kesehatan yang diperoleh dari data sekunder. Variabel yang berpengaruh secara lokal adalah Risiko Banjir, Fasilitas Kesehatan Presentase Usia 25-50 tahun, Prosentase Luas Pemukiman, sedangkan variabel independen yang bepengaruh secara global adalah Presentase Luas Sawah. Peta kerentanan Leptospirosis yang dihasilkan dari model GWR terbaik yaitu menggunakan fungsi pembobot Fixed Bisquare. Terdapat 3 kelas kerentanan Leptospirosis yaitu kelas kerentanan tinggi berada di desa-desa di tengah Kabupaten Bantul, sedangkan kelas sedang dan rendah menunjukkan pola menggelompok di wilayah pinggiran Kabupaten Bantul
Community forestry in Babak watershed is one of the efforts to reduce critical land area. The aim of this research was to evaluate the level of community forestry sustainability in both of community forest (HKm) and private forest in Babak watershed. Multidimensional scaling (MDS) was used to analyse the level of community forest sustainability based on the five dimensions of ecology, economy, social, institutional, and technology as well as 29 attributes. Leverage analysis was used to know the sensitive attributes of sustainability, while Monte Carlo analysis and goodness of fit was used to find the accuracy of MDS analysis. The result shows that HKm was in moderate sustainability level (sustainability index 54.08%) and private forest was in less sustainability level (sustainability index 48.53%). Furthermore, the ecology and technology in HKm were classified as less sustainable, while the institution and technology in private forest were considered less sustainable. There were 11 sensitive attributes of HKm and 19 sensitive attributes of private forest. The priorities of attribute improvement in HKm include land recovering (the dimension of ecology) and cooperative development (the dimension of technology). In private forest, the priorities of attribute improvement include leadership capacity building (the institutional dimension) and also the use of silviculture intensive and soil conservation (the dimension of technology). Abstrak. Kegiatan kehutanan masyarakat di DAS Babak merupakan salah satu upaya untuk mengurangi lahan kritis. Tujuan penelitian ini adalah mengetahui tingkat keberlanjutan kehutanan masyarakat baik HKm maupun hutan rakyat di DAS Babak. Metode yang digunakan pada penelitian ini adalah multidimensional scaling (MDS) yang terdiri dari lima dimensi (ekologi, ekonomi, sosial, kelembagaan dan teknologi) dan 29 atribut sebagai dasar penilaian indeks keberlanjutan. Analisis leverage digunakan untuk menentukan atribut yang sensitif terhadap indeks keberlanjutan, sedangkan analisis Monte Carlo dan analisis ketepatan digunakan untuk mengetahui keakuratan analisis MDS. Hasil analisis diketahui bahwaHKm berada pada tingkat cukup berkelanjutan (nilai indeks 54,08%) dan hutan rakyat pada tingkat kurang berkelanjutan (nilai indeks 48,53%). Dimensi ekologi dan teknologi merupakan dimensi kurang berkelanjutan pada HKm, sedangkan dimensi kelembagaan dan teknologi merupakan dimensi yang kurang berkelanjutan pada hutan rakyat. Pada HKm terdapat 11 atribut sensitif sedangkan pada hutan rakyat terdapat 19 atribut sensitif terhadap tingkat keberlanjutan. Perbaikan atribut pada HKm dapat dilakukan dengan perbaikan penutupan lahan (dimensi ekologi) serta pembentukan koperasi (dimensi teknologi). Perbaikan atribut pada hutan rakyat dapat dilakukan dengan peningkatan kepemimpinan (dimensi kelembagaan) serta penggunaan silvikultur intensif dan konservasi tanah dan air (dimensi teknologi).
The thermal infrared bands of Landsat 7 ETM+ and Landsat 8 OLI/TIRS have ability to provide Land Surface Temperature (LST) information. This information is important to map and monitor Earth surface’s temperature-related events such as drought. However, these two Landsat sensors have different conversion methods of deriving LST information from their image pixels. Landsat 7 ETM+ applies a simple algorithm using single thermal band to produce an index of surface temperature; while Landsat 8 TIRS applies two thermal bands and a more sophisticated Split Windows Algorithm (SWA). This research aims to compare and contrast the ability of Landsat 7 ETM+ and Landsat 8 OLI/TIRS to map LST for drought monitoring in part of East Java Province, Indonesia. Drought detection was conducted using two different algorithms, namely Temperature Condition Index (TCI) with a range of values from 0-100 and Crop Water Stress Index (CWSI) with a range of 0-1. These algorithms have an opposite index value explanation; zero in TCI indicates drought condition, but wet condition in CWSI. The differences in the LST results from Landsat images showed that SWA method provides more similar results to the corresponding land cover conditions as compared to the result of Landsat 7 ETM+. Drought detection results demonstrate that TCI and CWSI would be optimally useful for area have a potential drought. Both methods have similar results in terms of the condition of Land Surface Temperatures.
Conversion of peatlands into production land caused a decline in environmental quality. This would result in the resilience of the peatland environment to be threatened. The objective of this research was to knew the shape of peatland conversion in each peat depth which caused the decrease of environmental quality, and to knew resilience level the extent of peat land cover for vegetation biodiversity in Riau Kampar Watershed.The method used in this research was survey and transect plot. Transect plots was used to calculated the biodiversity of peatland vegetation.The results showed that the form of conversion of peatlands that occurred in Kampar Watershed of Riau Province in the form of oil palm plantation, rubber, industrial plantation forest and settlement on peat soil with shallow depth until deep depth ranged between 47cm - 883cm. Vegetation biodiversity index value of 0 - 2,83 with low to moderate category.ABSTRAKKonversi lahan gambut menjadi lahan produksi menyebabkan penurunan kualitas lingkungan. Hal demikian mengakibatkan ketahanan lingkungan lahan gambut menjadi terancam. Tujuan penelitian adalah untuk mengetahui bentuk konversi lahan gambut pada masing-masing kedalaman gambut yang menyebabkan penurunan kualitas lingkungan, dan mengetahui sejauhmana ketahanan tutupan lahan gambut biodiversitas vegetasi di DAS Kampar Provinsi Riau. Metode yang digunakan dalam penelitian adalah survey dan transek plot. Transek plot digunakan untuk menghitung biodiversitas vegetasi lahan gambut. Hasil penelitian menunjukkan bahwa bentuk konversi lahan gambut yang terjadi di DAS Kampar Provinsi Riau Sumatera berupa perkebunan kelapa sawit, karet, hutan tanaman industri, dan permukiman pada lahan gambut yang mempunyai kedalaman dangkal sampai pada kedalaman sangat dalam, berkisar antara 47cm -883cm. Nilai Indeks biodiversitas vegetasi sebesar 0 – 2,83 dengan kategori rendah sampai sedang
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