Judul: Application of AMMI multi response with weighted principal component on stability test of java tea plants
Abstrak: Kumis kucing (Orthosipon aristatus Miq.) adalah tanaman obat yang dapat membantu memperbaiki fungsi ginjal. Permintaan yang tinggi akan pasokan kumis kucing mendorong adanya pembudidayaan tanaman ini. Pada tahun 2012- 2013 Balai Penelitian Tanaman Rempah dan Obat (Balittro) melakukan percobaan multilokasi terhadap enam genotipe kumis kucing. Penelitian ini bertujuan untuk mengklasifikasikan daya adaptasi genotipe kumis kucing. Data yang digunakan adalah hasil percobaan multilokasi tanaman kumis kucing di tiga lokasi selama tiga musim panen. AMMI merupakan salah satu pendekatan yang dinilai sangat baik untuk menganalisis data hasil percobaan multilokasi. Pada umumnya AMMI masih terbatas pada respon tunggal. Penggabungan respon dengan pembobotan berdasarkan komponen utama adalah salah satu metode yang menghasilkan validasi yang baik untuk menangani masalah tersebut. Hasil analisis AMMI pada respon produktifitas tanaman menghasilkan dua genotipe yang stabil yaitu genotipe E dan F. Respon morfologi tanaman hanya menghasilkan satu genotipe stabil yaitu genotipe B. Sedangkan pada respon gabungan total genotipe yang stabil adalah genotipe B dan E., Java tea (Orthosipon aristatus Miq.) Is a medicinal plant which can help improve kidney function. High demand for supply of java tea encourage cultivation of this crop. Balai Penelitian Tanaman Rempah dan Obat (Balittro) conduct multilocation experiment of the six genotypes java tea in 2012-2013. This study aims to classify java tea adaptability. Data that used is a result of multilocation experiment at three location during three harvest season. AMMI is statistic methode that can used to analyze data from multilocation experiment. AMMI is generally limited to a single response. Combining response with the weighted on principal component is one method which generates good validation to handle that problems. The results of AMMI analysis on the response of plant productivity to produce two stable genotype is genotype E and F. The morphological responses of plants only produce a stable genotype is genotype B. While in combination total responses the stable genotype is genotype B and E. Keywords: java tea, weighting the principal component, multilocation experiment
Keyword: kumis kucing, pembobotan komponen utama, percobaan multilokasi

Judul: Uji Multilokasi Melalui Analisis AMMI Multirespon (Studi Kasus : Penelitian Galur Tanaman Tembakau Madura)
Abstrak: AMMI is used to analyze the data of multi location trials. The purpose of this analysis is to classify some stable or specific genotypes. The limitation of this analysis is only able to analyze for one response. Some methods of merged the responses can overcome this limitation. Several methods were considered good enough are range equalization, weighted based on principal component analysis, and division by mean. This study use the data of madura tobacco crop research in 2010-2012 were obtained from multi location trials involving 10 genotypes of tobacco plants and 9 environments. Measurement of responses includes the number of leaves, index of plant, chopped productivity, and quality index. The result of AMMI analysis for the origins responses shows that all genotypes are not stable at all origins responses. Only two genotypes are stable for two responses. The other genotypes grew most specifically expressed in each location. The Results of adaptability genotypes obtained by the combined response shows that just genotype C is stable in all combined responses and the other genotypes are grown in specific locations. Overall from the classification of genotypes, three combined responses are represented almost the entire of origins responses relatively. But from three methods were used, range equalization methods is the best choice for the data of this research.
Keyword: AMMI, combined response, Madura tobacco

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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