One of the causes of forest fires is the lack of speed of handling when a fire occurs. This can be anticipated by determining how many extinguishing units are in the center of the hot spot. To get hotspots, NASA has provided an active fire dataset. The clustering method is used to get the most optimal centroid point. The clustering methods we use are K-Means, Fuzzy C-Means (FCM), and Average Linkage. The reason for using K-means is a simple method and has been applied in various areas. FCM is a partition-based clustering algorithm which is a development of the K-means method. The hierarchical based clustering method is represented by the Average Linkage method. The measurement technique that uses is the sum of the internal distance of each cluster. Elbow evaluation is used to evaluate the optimal cluster. The results obtained after conducting the K-Means trial obtained the best results with a total distance of 145.35 km, and the best clusters from this method were 4 clusters. Meanwhile, the total distance values obtained from the FCM and Linkage methods were 154.13 km and 266.61 km.
Abstrak Penelitian ini berisikan tentang sistem deteksi jenis Batik Parang Rusak. Batik merupakan warisan budaya bangsa Indonesia. Motif Parang Rusak/Barong merupakan motif batik sakral yang hanya boleh dipakai oleh kalangan kerajaan atau keraton Yogyakarta pada jaman dahulu. Pengambilan data citra Batik Parang sebanyak 138 citra (98 citra latih dan 40 citra Uji) menggunakan kamera digital dan internet, dengan ukuran citra Batik 200 x 260 piksel dalam format file JPG dan BMP. Tahapan deteksi pada penelitian ini meliputi: (1) Grayscale untuk menjadikan citra RGB menjadi citra keabu-abuan; (2) Konversi citra menjadi citra biner untuk memudahkan proses pendeteksian tepi citra; (3) Pencarian deteksi tepi menggunakan metode Sobel sebagai tahap awal menuju ekstraksi bentuk; (4) Perolehan feature vector citra menggunakan metode Geometric Invarian Moment. Akurasi hasil deteksi pada 40 citra uji Batik dievaluasi dengan menggunakan metode Accuracy. Hasil evaluasi dari 40 citra yang terdeteksi menghasilkan nilai akurasi sistem pendeteksian sebesar 92,5%. AbstractThis research discusses an image detection system of Batik Parang Rusak types. Batik is the heritage cultural of Indonesia. Parang Rusak/Barong is a sacred motive which could only be worm by the royal family of Yogyakarta in the past. The data used in this research are 138 images (98 images training and 40 images test) taken by a digital camera and internet, the size of each image is 200 x 300 pixel, in JPG and BMP file formats. The detection phases of this research cover: (1) Grayscaling to convert RGB images into grayish; (2) Image conversion into binary to facilitate edge detection process; (3) Edge detection using Sobel method as the first step towards shape; (4) Acquisition of image feature vectors using Geometric Invarian Moment. The result of 40 Batik images test is evaluated using Accuracy method. The evaluation result of 40 image detection system accuracy value is 92.5%.
Game development in 3D is mostly done by characters, items and the environment. Game items such as character weapons modeled in 3D will be the attraction of a game. In this paper, spear motion as a game items is modeled in 3D. Nonlinear Equations Six Degrees of Freedom (6 DOF) are used for mathematical models of spear motion. The parameters studied in the motion model are: geometry, mass and aerodynamics. Spear aerodynamic parameters were analyzed using the Datcom method. Numerical simulation of mathematical models of spear motion with variations in the initial velocity of the throw and the direction of the throw. From the results of numerical simulation, the maximum range R = 131.7 m at the initial velocity V0 = 40 m/s, the direction of throw (angle θ0 = 35 deg, angle φ0 = 10 deg, ψ0 = 0 deg). And the maximum height Hmax = 12.18 m is achieved at the initial velocity V0 = 20 m/s, direction of throw (angle θ0 = 35 deg, angle φ0 = 40 deg, angle ψ0 = 0 deg).
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