Rancang Bangun Media Pembelajaran Berbasis Website Google Sites pada Materi Astronomi

Abstrak Pembuatan website bisa dilakukan menggunakan Google Site yang tidak perlu bahasa pemograman yang sulit. Tujuan penelitian adalah menghasilkan sebuah media pembelajaran berbasis website Google Sites pada materi Astronomi dan mendeskripsikan respons mahasiswa dalam menggunakan media yang dihasilkan. Penelitian menggunakan metode penelitian Multimedia Development Life Cycle dengan enam tahapan, yaitu tahap pengonsepan, perancangan, pengumpulan bahan, pembuatan, pengujian, dan pendistribusian. Sampel penelitian berjumlah 30 orang menggunakan teknik purposive sampling. Instrumen penelitian yang digunakan yaitu angket validasi media dan respons. Penilaian angket menggunakan skala Likert dengan lima skala penilaian dan analisis data menggunakan interpretasi skor. Hasil penelitian menunjukkan bahwa nilai validasi ahli media berada pada kategori cukup valid dan rata-rata respons yang diperoleh berada pada kategori sangat baik. Berdasarkan hasil penelitian, disimpulkan bahwa media pembelajaran berbasis website Google Sites pada materi Astronomi dapat digunakan dalam pembelajaran. AbstractWebsite development can be done using Google Sites which does not need a difficult programming language. The research aimed to produce a Google Site website-based learning media on Astronomy material and to describe student responses to using the resulting media. The research used the Multimedia Development Life Cycle research method with six stages, namely the conceptual, design, material collection, manufacturing, testing, and distribution stages. The research sample was 30 people using a purposive sampling technique. The research instrument used a media and response validation questionnaire. Questionnaire assessment used a Likert scale with five assessment scales and data analysis used score interpretation. The results showed that the media expert's validation value was in the quite valid category and the average response obtained was in the very good category. Based on the results of the research, it was concluded that learning media based on the Google Sites website on Astronomy material can be used in learning

DETECTION OF WATER-BODY BOUNDARIES FROM SENTINEL-2 IMAGERY FOR FLOODPLAIN LAKES

The impact of climate and human interaction has resulted in environmental degradation. Consistent observations of lakes in Indonesia are quite limited, especially for flood-exposure lake types. Satellite imagery data improves the ability to monitor water bodies of different scales and the efficiency of generating lake boundary information. This research aims to detect the boundaries of flood-exposure type lake water bodies from the detection model and calculate its accuracy in Semayang Melintang Lake using Sentinel-2 imagery data. The characteristics of water, soil, and vegetation objects were investigated based on the spectral values of the composite image bands from the Optimum Index Factor (OIF) calculation, to support the lake water body boundary detection model. The Object-Based Image Analysis (OBIA) method is used for water and non-water classification, by applying the machine learning algorithms random forest (RF), support vector machine (SVM), and decision tree (DT). Model validation was conducted by comparing spectral graphs and lake water body boundary model results. The accuracy test used the confusion matrix method and resulted in the highest accuracy value in the SVM algorithm with an Overall Accuracy of 95% and a kappa coefficient of 0.9. Based on the detection model, the area of Lake Semayang Melintang in 2021 is 23392.30 ha. This model can be used to estimate changes in the area of the flood-exposure lake consistently. Information on the boundaries of lake water bodies is needed to control the decline in the capacity and inundation area of flood-exposure lakes for management and monitoring plans

ANALYSIS OF THE PENETRATION CAPABILITY OF VISIBLE SPECTRUM WITH AN ATTENUATION COEFFICIENT THROUGH THE APPARENT OPTICAL PROPERTIES APPROACH IN THE DETERMINATION OF A BATHYMETRY ANALYTICAL MODEL

The attenuation coefficient (Kd) can be extracted by an apparent optical properties(AOP) approach to determine marine shallow-water habitat bathymetry based on an analytical method. Such a method was employed in the Red Sea by Benny and Dawson in 1983 using Landsat MSS imagery. Therefore, we applied the Benny and Dawson algorithm to extract bathymetry in shallow marine waters off Karimunjawa Island, Jepara, Central Java, Indonesia. We used the SPOT 6 satellite, which has four multispectral bands with a spatial resolution of 6 meters. The results show that three bands of SPOT 6 data (the blue, green, and red bands) can produce bathymetric information up to 30.29, 24.63 and 18.58 meters depth respectively. The determinations of the attenuation coefficients of the three bands are 0.08069, 0.09330, and 0.39641. The overall accuracy of absolute bathymetry of the blue, green, and red bands is 61.12%, 65.73%, and 26.25% respectively, and the kappa coefficients are 0.45, 0.52, and 0.13