Judul: Ekstrasi Tekstur Citra Menggunakan Local Binary Pattern untuk Identifikasi Penyakit Tanaman Padi dan Anthurium Berbasis Website
Abstrak: This research proposes a web-based application to identify plant disease on Paddy and Anthurium automatically based on the leaf image. This research considers seven types of diseases : three Anthurium diseases and four Paddy diseases. For each type of the diseases 100 images are collected, making the total of images data be 700. Local Binary Pattern Variance (LBPV) was used for the extraction of texture and Probabilistic Neural Network (PNN) is used for classification. The result showed that LBPV can be used to identify plant diseases on Paddy and Anthurium. LBPV with operator (8,1) and (16,2) have the highest accuracy of 85.71%.
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Judul: Identifikasi tanaman hias secara otomatis menggunakan Metode Local Binary Patterns descriptor dan Probabilistic Neural Network
Abstrak: Identification house plant species automatically still be a problem for recognizing various kind of house plants. This research proposes a new method for identifying a house plant using Local Binary Patterns (LBP) descriptor and Probabilistic Neural Network (PNN). There are three kinds of LBP descriptor used in this research, i.e. , , and . Database of 300 house plant images belong to 30 different types of house plant in Indonesia are extracted using , , and based on texture feature and classified using PNN. The experimental result shows that has the best accuracy to indentify house plants with accuracy 73.33%. The proposed system is promising since it is capable to identify house plants species efficienty and accurately
Keyword: Plant extraction, Local binary patterns, Texture feature, Probabilistic neural network, Bogor Agricultural University, Institut Pertanian Bogor, IPB

Judul: Analysis of NaTFSA Electrolytes on Sodium Ion  Batteries Using the DC-DFTB-MD Method
Abstrak: Pelarut air digunakan dalam sistem elektrolit NaTFSA pada baterai ion natrium karena sifatnya yang relatif aman. Namun, menghasilkan tegangan yang cukup rendah sehingga memiliki keterbatasan dalam pengaplikasiannya. Untuk mengatasi hal tersebut dikembangkan elektrolit berkonsentrasi tinggi. Pada penelitian ini, pengaruh konsentrasi elektrolit NaTFSA terhadap sifat struktur, dinamika, dan elektronik dianalisis menggunakan metode dinamika molekul pada level mekanika kuantum. Analisis mikroskopik struktur dan dinamika elektrolit NaTFSA menunjukkan bahwa seiring kenaikan konsentrasi, koefisien difusi air menurun sedangkan konduktivitas elektrolit cenderung meningkat sebanding dengan mobilitas ion-ion., The aqueous solvent is used in the NaTFSA electrolyte system in sodium ion batteries because it is relatively safer. However, the voltage window of the sodium ion battery is narrower than that of the lithium ion battery, thus it still limits its practical implementation. To overcome this problem, a high concentration of electrolyte was developed. In this present work, the salt concentration effect on structural, dynamic and electronic properties were analyzed using molecular dynamics methods at the quantum mechanical level. Microscopic analysis of the structural and dynamical properties of the NaTFSA electrolyte showed that as the concentration increased, the water diffusion coefficient decreased while the electrolyte conductivity tended to increase.
Keyword: Conductivity, DC-DFTB, Diffusion constants, NaTFSA electrolytes, Sodium ion batteries