Judul: Pengaruh Kepadatan Larva Aedes aegypti dan Kekeringan Terhadap Survival dan Patogenisitas Cendawan Aspergillus niger.
Abstrak: The aim of the experiment was to study the effect of Aedes aegypti larval density and dryness on survival and pathogenicity of Aspergillus niger. The effect of larval density on survival and pathogenicity of A. niger was studied using instar III of A. aegypti larvae, whereas the effect of dryness was studied on A. aegypti egg. The survival and pathogenicity test of A. niger on A. aegypti larvae were carried out in unsterilized tap water. The fungi used was A. niger carrying gfp gene as a marker. The treatment of larval density used were 10, 50, 100, 150, and 200 larvae. The number and age of eggs used were 200 and a week-old, respectively. Parameters measured were number of A. niger colony, larval mortality, and eggs hatching. The result showed that fungal survival that indicated by number of colony reduced from 1x108 spores in first day to 225 spores in the second day and the reduction continued until 6 days after incubation to 30 spores. At 7 days incubation, the colony increased to 40 spores. A. niger had high pathogenicity on larvae and eggs of A. aegypti. The mortality of larvae at all treatments started at 3 days after inoculation. The mortality at 3 days after inoculation were 6.7, 9.3, 13.0, 18.0, and 21.5% at 10, 50, 100, 150, and 200 larval, respectively. The mortality increased at 14 days after inoculation. The values were 33.3, 38.7, 52.0, 54.4, and 58.5% at 10, 50, 100, 150, and 200 larval density treatment, respectively. The A. niger had high pathogenicity on A. aegypti eggs. All of eggs tested did not hatch after inoculated by A. niger and incubated for 14 days.
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Judul: Karakteristik Habitat Larva dan Status Resistensi Aedes aegypti (L) terhadap Sipermetrin dan Malation di Wilayah Perimeter Pelabuhan Laut Cirebon
Abstrak: Penyakit tular vektor seperti Demam Berdarah Dengue (DBD) masih merupakan masalah kesehatan utama di Indonesia termasuk di Kota Cirebon. Pelabuhan laut Cirebon sebagai salah satu pintu masuk negara berpotensi terhadap penularan penyakit DBD tersebut. Tujuan penelitian untuk mengukur kepadatan dan mendeterminasi karakteristik habitat larva Aedes aegypti, menganalisis hubungan faktor lingkungan (karakteristik habitat, suhu dan kelembapan udara), tingkat pengetahuan, sikap dan perilaku masyarakat dengan keberadaan larva Ae. aegypti dan mengukur status resistensi nyamuk Ae. aegypti terhadap insektisida malation dan sipermetrin. Jenis penelitian yaitu observasi deskriptif analitik dengan pendekatan cross sectional study dengan sampel seluruh rumah/ bangunan yang berada di wilayah perimeter Pelabuhan laut Cirebon. Faktor lingkungan, karakteristik habitat diukur dengan pengamatan secara visual terhadap jenis, letak, bahan, warna dan tutup kontainer serta volume air, jenis sumber air dan paparan cahaya pada kontainer. Suhu air diukur menggunakan termometer infra merah dan pH air menggunakan pH meter. Suhu dan kelembapan udara diukur menggunakan termohigrometer. Pengetahuan, sikap dan perilaku masyarakat diperoleh melalui wawancara menggunakan pedoman kuesioner terstruktur tentang pencegahan dan pengendalian vektor DBD. Koleksi larva dilakukan dengan metode single larvae dan morfologi Ae. aegypti diamati menggunakan mikroskop berdasarkan kunci identifikasi Aedes spp. Pengukuran status resistensi nyamuk Ae. aegypti terhadap insektisida malation 0.8% dan sipermetrin 0.05% menggunakan metode susceptibility test standar World Health Organization (WHO). Hasil penelitian, jumlah kontainer yang diamati sebanyak 486 kontainer dengan jenis kontainer positif larva Ae. aegypti yaitu bak kakus, bak mandi, drum, ember, kolam dan ban bekas. Keberadaan larva Ae. aegypti sebagian besar berada pada kontainer di luar rumah. Jenis kontainer yang paling banyak ditemukan yaitu ember dan perkiraan volume air pada kontainer sebagian besar lebih dari 20 L. Hasil perhitungan House Index (HI), Container Index (CI), Breteau Index (BI) dan Density Figure (DF) (HI:8.74%; CI:9.05%; BI:12.02; DF:3) dengan kategori kepadatan Ae. aegypti sedang. Berdasarkan hasil uji chi square, karakteristik habitat yang mempunyai hubungan signifikan dengan keberadaan larva Ae. aegypti yaitu jenis kontainer, bahan kontainer, volume air, sumber air, pH air dan suhu udara (p<0.05). Hasil analisis dengan binary logistic regression, variabel yang berpengaruh dan berisiko terhadap keberadaan larva Ae. aegypti yaitu jenis kontainer ember (p=0.003; OR=18.972) dan pH air (p=0.022; OR=2.489). Faktor pengetahuan, sikap dan perilaku masyarakat tidak berpengaruh terhadap keberadaan larva Ae. aegypti. Hasil uji resistensi nyamuk terhadap insektisida berdasarkan persentase kematian nyamuk di wilayah perimeter Pelabuhan laut Cirebon, status Ae. aegypti resisten terhadap malation dan sipermetrin.
Keyword: Aedes aegypti, karakteristik habitat, Pelabuhan laut Cirebon, resistensi

Judul: Perbandingan SOM dan LVQ pada Identifikasi Citra Wajah dengan Wavelet sebagai Ekstraksi Ciri
Abstrak: Face recognition is one of challenging research topics in computer science because human face is difficult to be modelled. In this research, SOM and LVQ are proposed for frontal face recognition. The purpose is to compare LVQ and SOM based on identification accuracy. Training uses 400 images from 20 different individuals, and the dimension is 180 x 200 pixels. The data are retrieved from University of Essex, UK. Coefficient approximation at Haar wavelet level 6 is used as feature for classification and clustering process. K-fold cross validation with 10-fold is used to divide training and testing data. The experiment is divided into 3 sets, i.e., the experiment using SOM, LVQ, and LVQ initialized by SOM. The highest accuracy achieved by SOM is 97.8974%, while both LVQ and LVQ initialized by SOM achieve 100% accuracy. Based on the accuracy, LVQ proves to be better than SOM for frontal face recognition. This research needs to be improved in order to recognize various poses and changing expressions.
Keyword: Self Organizing Map (SOM), Learning Vector Quantization (LVQ), K-fold cross validation, Haar wavelet, frontal face recognition