Judul: Identifikasi Jenis Shorea Berdasarkan Morfologi Daun Menggunakan Probabilistic Neural Network
Abstrak: Indonesia is a country which has a large forest area. Dipterocarpaceae is the best timber tree of tropical rain forest. Shorea is a genus of Dipterocarpaceae family which consist of 194 species. Shorea has a considerable number of benefits. It is the most important timber source. Shorea can be used to produce varnish, paint and other chemical materials. Species diversity and morphological similarity may lead to difficulty in identifying the species of Shorea. Mistake in identifying Shorea can lead to inappropriate selection for the final usability. Identification using leaf is the first choice for plant classification compared to biology methods which use cell and molecule. This research aims to develop an identification system to identify Shorea based on morphological characteristic of Shorea. The system identifies 10 species of Shorea. The identification system being built uses Probabilistic Neural Network. The data are divided into five subsets. The five subsets are used as training data and test data. The PNN is trained using 80 leaves to kinds of Shorea. The identification using Probabilistic Neural Network produced 84% average accuracy.
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Judul: Identifikasi jenis shorea menggunakan jaringan syaraf tiruan propagasi balik berdasarkan karakteristik morfologi daun
Abstrak: Dipterocarpaceae is a major timber tree of tropical rain forest. Shorea is a genus of the Dipterocarpaceae family which consists of around 194 species. Species diversity may lead to difficulty in distinguishing species of Shorea of one another. It takes knowledge from an expert in the field of Shorea to be able to identify the types of Shorea. Errors in identifying the type of Shorea wood can lead to inappropriate selection for the final usability. Identifying the type of Shorea carried out on five species of Shorea owned Bogor Botanical Gardens on the basis of morphological characteristics of leaves. The identification was carried out using Backpropagation Neural Network. To obtain the values of each leaf morphological characteristics of Shorea, each sample measurement data collected manually. The values are then processed using Backpropagation Neural Network to get the pattern from the training and the accuracy of the test phase. This research used a total of 50 data from five species of Shorea. The data are divided into five subsets. The fifth subset is used in the training and testing phases and conducted five times. The use of methods Backpropagation neural networks in identifying species Shorea produces an average accuracy of 90%.
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Judul: Analysis of Increasing Plasma Temperature for D-T  Fusion Reactions in Tokamaks with Ohmic Heating
Abstrak: Reaksi fusi terkendali atau termonuklir terkendali merupakan reaksi penggabungan dua inti atom ringan menjadi inti atom yang lebih berat dengan melepaskan energi. Reaktor fusi hingga saat ini masih dalam pengembangan demi terwujudnya pembangkit listrik tenaga nuklir berbasis reaksi fusi. Biaya kontruksi menjadi salah satu faktor penghambat perkembangan reaktor fusi dunia. Penelitian ini bertujuan untuk menghitung suhu yang dapat dicapai plasma yang dipanaskan secara ohmik dalam reaktor fusi bernama Tokamak dengan ukuran radius yang divariasikan. Ukuran radius mayor yang digunakan dalam perhitungan dengan rentang 2 m sampai 4 m serta radius minor 1 m sampai 3 m. Nilai tersebut ditetapkan lebih kecil dari Tokamak yang pernah ada demi terwujudnya penekanan pada biaya konstruksi. Ukuran radius mayor memiliki peranan dalam jumlah tumbukan partikel terjadi sehingga berbanding lurus dengan suhu yang dicapai plasma. Ukuran radius minor memiliki peranan dalam proses konversi panas melalui dinding reaktor sehingga hubungannya berbanding terbalik dengan suhu yang dicapai plasma., Fusion control or controlled thermonuclear is a reaction that combines two light atomic nuclei into a heavier atomic nucleus by releasing energy. Fusion reactors are currently still being developed to realize nuclear power plants based on fusion reactions. Construction costs are one of the factors inhibiting the development of world fusion reactors. This research aims to calculate the temperature that can be reached by ohmically heated plasma in a fusion reactor called Tokamak with varying radius sizes. The size of the major radius used in the calculation ranges from 2 m to 4 m and the minor radius from 1 m to 3 m. This value is set to be smaller than existing Tokamaks in order to reduce construction costs. The size of the major radius plays a role in the number of particle collisions that occur so that it is directly proportional to the temperature reached by the plasma. The size of the minor radius plays a role in the heat conversion process through the reactor walls so that the relationship is inversely proportional to the temperature reached by the plasma.
Keyword: radius major, radius minor, reaksi fusi, Tokamak