Judul: Identifikasi Hama Tanaman Cabai dengan Membandingkan Principal Component Analysis dan Gray Level Co-Occurrence Matrix
Abstrak: Chili is one of the highly regarded vegetables and fruits economically. Chili’s productivity is highly affected by the presence of its pests. Pest identification can done by automatic system pests identification based on image. In this research, two features extraction algorithms are used for the system, i.e. Principal Component Analysis (PCA) and the Gray Level Co-Occurrence Matrix (GLCM), and the classification method Probabilistic Neural Network (PNN). PCA parameters are setup using proportion of 80%, 90%, and 95 % while GLCM uses angles of 0o, 45o, 90o, and 135o. The results show that GLCM outperforms PCA in term of accuracy, with accuracy level 72% for GLCM and 65% for PCA.
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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: Numerical modeling of the hydrodynamics of standing wave and scouring in front of impermeable breakwater with different steepnesses
Abstrak: The aim of this paper is to numerically study the effects of breakwater steepness on the hydrodynamics of standing wave and scouring process in front of impermeable breakwaters. A two-dimensional hydrodynamics model based on the Reynolds Averaged Navier–Stokes (RANS) equations and the Volume of Fluid (VOF) method was developed and then combined with an empirical sediment transport model. Comparisons with an analytical solution and experimental data showed the present model is very accurate in predicting the near bottom velocity and capable of simulating the scour/deposition patterns consistent with experimental data. It was found that the additional terms of bottom shear stress in the momentum equations are necessary to produce a physical scouring pattern. Different breakwater steepnesses produce different characteristics of standing wave, the steady streaming system, and scouring pattern in front of the breakwaters, which also affects the correlations between them. An additional analysis of the turbulence field parameters and the sediment transport rate was also performed. All these important information will be presented in details in this paper and can be worthwhile for designing the breakwater in coastal areas.
Keyword: The RANS–VOF model Standingwave Steadystreamingsystem Scouring pattern Breakwatersteepness