Judul: Pengenalan Varietas Kunyit Berdasarkan Ciri Fisik Menggunakan Genetic Programming dengan Praproses Booleanizing
Abstrak: Turmeric is one of medicinal plant that can be used to treat swollen gums, sores, shortness of breath, abdominal pain, ulcers, sore spleen, appendix, gout, indigestion, flatulence, and lowers blood pressure. Turmeric have been processed through a selection in a breeding program and has acquired three varieties of turmeric with curcumin production potential and high quality, the variety of turmeric is Turina-1, Turina-2, and Turina-3. The pure seed requirement will increase and genetic diversity in turmeric growing community will be more narrow. This causes difficulties in distinguishing of high yielding varieties, as based on existing physical data Balittro almost identical, making it difficult to determine distinguishing characteristics. This research aims to develop an identification system to identify turmeric based on physical feature. This system identifies 3 variety of turmeric. The identification system being built uses Genetic Programming with Booleanizing preprocessing.The data are divided into three subset. The three subset are used as training data and test data. The Genetic Programming using 100 data to kinds of turmeric. The identification using Genetic Programing with Booleanizing preprocessing produced 95% accuracy.
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Judul: Identifikasi Varietas Kunyit Berdasarkan Ciri Fisik Menggunakan Algoritme C4.5
Abstrak: Turmeric is one type of medicinal plants which through a selection in the breeding program has acquired three varieties with high curcumin potential and high quality, the varieties are Turina-1, Turina-2, and Turina-3. Turmeric identification system can help farmers and traders in identifying varieties of turmeric quickly and accurately. Previous research implemented fuzzy algorithms to identify the varieties of turmeric, with accuracy reaching 85%. Another research used genetic programming with an accuracy of 95%. The present study use the C4.5 algorithm which is one of data mining classification methods which are used to identify varieties of turmeric plants by creating a decision tree by selecting the attributes that have the highest gain ratio as a node of a decision tree. The best accuracy obtained in this research is 95%. The advantages of using C4.5 algorithm is the decision tree produced is easy to understand and used manually
Keyword: varieties of turmeric plant, decision tree, C4.5 algorithm, data mining

Judul: Hamiltonian formulation for linear waves motion in two layers fluid
Abstrak: The surface wave could be considered as a wave that separates two fluids, namely water and air. Based on this assumption, it is introduced the interfacial wave, a wave between two layers of fluid with different density. The formulation of interfacial waves motion begins with deriving the base equation of irrotational ideal fluid. Furthermore, according to irrotational fluid assumption, the base equation can be stated in velocity potential. In this derivation, the fluids domain is assumed to be restricted by rigid lid boundary conditions, both at the upper and lower limit. Therefore, the interfacial waves motion can be explained in a hamiltonian formulation. In the hamiltonian formulation, total energy is defined as the sum of kinetic and potential energy. The hamiltonian system is obtained from reduction of kinetic energy by using the Dirichlet Neumann Operator. The resulted kinetic energy equation is nonlinear. Therefore, this form is linearized by first part of the Taylor expansion. This linearization gives a dispersion relation of linear wave. Based on this dispersion relation, the phase speed of the linear wave depends on the density ratio of the two layers fluid.
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