Judul: Identifikasi Daun Tanaman Jati Menggunakan K-Nearest Neighbour dengan Ekstraksi Fitur Ciri Morfologi Daun
Abstrak: The ability of teak plantation to adapt in tropical climate makes this plantation grows well in Indonesia. Teak plantation belongs to Lamiacae and it has a high economic value. The existence of various teak varietas becomes a challenge in teak identification. This research developed a teak identification system using its leaf morphology feature extraction. K-nearest neighbor (KNN) was used as the classification method. Six teak varieties were used as the data. The testing data and training data were divided by k-fold cross validation with k=5. The best average accuracy was 73.33%.
Keyword: Teak Tree, Leaf Morphology, K-Nearest Neighbour

Judul: Identifikasi tanaman jati menggunakan Probabilistic Neural Network dengan ekstraksi fitur ciri morfologi daun
Abstrak: Teak plant (Tectona grandis Linn. F) is one type of forest products that has considerable potential to be developed in Indonesia. The large number of teak plant species causes difficulties in identifying teak plant species identity. It takes knowledge of an expert in the field of teak plants to be able to identify the species of teak. The leaves are a source of easy observation and is available as a source of observations over time. This research proposed a new system to identify the teak plant leaves using Probabilistic Neural Network (PNN) classification and the extraction of characteristic features using Morphology. The system identifies 6 species of teak plant. The data are divided into four subsets and used as training data and test data. The PNN is trained using 90 leaves of the 6 species of teak plant. The identification using PNN produced 77.5% average accuracy.
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Judul: A Continuous Vaccination Strategy in the SVIR Epidemic Model
Abstrak: Vaccination is conducted to minimize the spread of a disease. The vaccination is usually done several times within a fixed time interval. In the SVIR model, it is assumed that individuals do not get immediate immunity following a vaccination program. So according to process of vaccination on SVIR model, there are two strategies, i.e. the continuous vaccination strategy (CVS) and the pulse vaccination strategy (PVS). In this study, only the CVS strategy in epidemic model SVIR is considered. Results of the study indicate that dynamics of the CVS system depends on the basic reproductive number. If the basic reproductive number is less than one, then the disease-free fixed point is asymptotically stable. It means that the disease will eventually disappear from the population. Conversely, if the basic reproductive number is greater than one, then the endemic fixed point is asymptotically stable, which means that the disease will remain exist in the population. Simulation result shows that the vaccination would minimize the spread of disease by reducing the basic reproductive number. If the time for the vaccinated recipients to obtain the immunity, as well as a possibility of vaccinated recipients to be infected are neglected, then the disease will be eradicated. This condition is called an over-evaluating effect of vaccination.
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