Judul: Chili (Capsicum annum L.) Nursery Plant Phenotyping Data Acquisition and Presentation Software Development
Abstrak: Komoditas cabai merupakan produk penting bagi rumah tangga di Indonesia. Persemaian dapat meningkatkan perkecambahan benih dan memastikan bahwa tanaman tumbuh dengan baik serta mengurangi resiko gagal panen dengan identifikasi awal tanaman. Proses penyemaian modern saat ini sering dilakukan menggunakan menggunakan teknologi lingkungan terkendali seperti rumah tanaman. Pendekatan plant phenotyping berbasis analisis citra nondestruktif memungkinkan karakterisasi sifat tampak tanaman secara ringkas. Namun demikian, perlunya sebuah platform analisis data yang dapat mengintegrasikan data pemrosesan citra menjadi informasi yang bermakna. Penelitian ini bertujuan merancang perangkat lunak untuk plant phenotyping terhadap semaian cabai (Capsicum annum L.) yang dapat memotret, memroses, dan menampilkan data citra serta teruji secara fungsional dan kelayakannya sebagai sebuah perangkat lunak berbasis web. Sistem perangkat lunak dirancang berdasarkan metode System Development Life Cycle (SDLC) yang terdiri dari tahap analisis, desain, implementasi, dan pengujian. Hasil penelitian ini berupa perangkat lunak analisis data fenotipe dirancang dengan fitur pemotretan, pemrosesan, dan penyajian data citra tanaman yang terdiri dari jumlah piksel dan luas kanopi tanaman, tingkatan kehijauan, serta tingkatan keabuan. Hasil uji fungsional sistem dengan metode black box menunjukkan bahwa sistem berjalan dengan baik tanpa bug yang berarti. Pengujian sistem dengan metode SUS terhadap 10 responden juga menunjukkan bahwa sistem layak digunakan dengan nilai rataan 76,25 yang tergolong kedalam grade B.
Keyword: chili, green house, plant phenotyping, seedling, software, website

Judul: Sistem pakar Fuzzy untuk diagnosis penyakit pada tanaman cabai merah
Abstrak: Chili plant is one plant that has high economic value for farmers in Indonesia. The risk of plants that have high economic value was also high. Production of the national average chili plants is still not maximized. One reason is the number of pests and pathogens that can attack chili plants and cause plants can not grow optimally. This study developed an expert system that uses the concept of Fuzzy Inference System with Mamdani method to diagnose disease in chili plants. This system can provide early diagnosis of diseases affecting the chili plant from the symptoms caused without having to ask directly to the specialist or expert. The parameters used as input parameters consist of fuzzy and non-fuzzy parameters. Fuzzy parameters such as leaf color, the color or pattern of leaf spot, leaf spot diameter, number of leaf spot, stem color, pH, and moisture. The non-fuzzy parameters used are the location of plant, leaf condition, position of leaf spot, stem rottenness, spots on the stems, bumps on the stem, blackish brown ring at the base of the stem, and dead shoots. The results showed that the Fuzzy Inference System can be used as a way to cope uncertainty for the case of chili plant disease diagnosis.
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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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