Judul: Penyusunan Kunci Identifikasi Anakan Jenis-jenis Anggota Dipterocarpaceae Selain Marga Shorea
Abstrak: Jenis-jenis pohon dari famili Dipterocarpaceae merupakan salah satu jenis yang memiliki kualitas kayu bernilai ekonomi namun mengalami eksploitasi berlebihan untuk kebutuhan kayu masyarakat. Ketersediaan regenerasi jenis-jenis famili Dipterocarpaceae sebagai penyokong dalam pemenuhan kebutuhan kayu masyarakat harus diketahui keberadaan dan potensinya. Penelitian ini bertujuan untuk menggambarkan karakteristik morfologi dan menyusun kunci identifikasi anakan jenis-jenis anggota Dipterocarpaceae selain marga Shorea. Penelitian dilakukan dengan mencatat data morfologi 40 jenis dari marga Anisoptera, Cotylelobium, Dipterocarpus, Dryobalanops, Hopea, Parashorea, dan Vatica pada fase semai dan pancang yang sudah teridentifikasi. Hasil pengolahan data disusun kunci identifikasi antar marga dan kunci identifikasi jenis dalam marga. Ciri khusus morfologi jenis pada masing-masing marga terletak pada bentuk petiole, bentuk daun, bentuk pangkal daun, bentuk ujung daun, bidang helai daun, pertulangan daun sekunder dan tersier, permukaan daun, stipule, dan gland. Kunci identifikasi jenis antar marga terletak pada posisi petiole, pertulangan daun sekunder dan tersier, gland, dan bidang helai daun.
Keyword: anakan, Dipterocarpaceae, kunci identifikasi, morfologi

Judul: Identifikasi jenis shorea menggunakan jaringan syaraf tiruan propagasi balik berdasarkan karakteristik morfologi daun
Abstrak: Dipterocarpaceae is a major timber tree of tropical rain forest. Shorea is a genus of the Dipterocarpaceae family which consists of around 194 species. Species diversity may lead to difficulty in distinguishing species of Shorea of one another. It takes knowledge from an expert in the field of Shorea to be able to identify the types of Shorea. Errors in identifying the type of Shorea wood can lead to inappropriate selection for the final usability. Identifying the type of Shorea carried out on five species of Shorea owned Bogor Botanical Gardens on the basis of morphological characteristics of leaves. The identification was carried out using Backpropagation Neural Network. To obtain the values of each leaf morphological characteristics of Shorea, each sample measurement data collected manually. The values are then processed using Backpropagation Neural Network to get the pattern from the training and the accuracy of the test phase. This research used a total of 50 data from five species of Shorea. The data are divided into five subsets. The fifth subset is used in the training and testing phases and conducted five times. The use of methods Backpropagation neural networks in identifying species Shorea produces an average accuracy of 90%.
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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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