Judul: Pengembangan Model Jaringan Syaraf Tiruan untuk Prediksi Curah Hujan Bulanan dan Pemanfaatannya bagi Perencanaan Pertanian di Kabupaten Subang dan Karawang
Abstrak: Produksi tanaman pangan secara nyata dipengaruhi oleh curah hujan dalam masa pertumbuhan dan perkembangan tanaman. Hal ini menyebabkan prediksi curah hujan menjadi hal yang sangat penting dalam perencanaan pertanian. Tujuan penelitian ini adalah untuk: (1) mengembangkan model prediksi curah hujan untuk prediksi curah hujan empat bulan ke depan, (2) mengembangkan model prediksi produksi padi 3 bulan ke depan, serta (3) Memprediksi produksi padi sebagai fungsi dari curah hujan bulanan. Model curah hujan dan model prediksi produksi padi dibangun dengan menggunakan teknik Jaringan Syaraf Tiruan (ANN). ANN merupakan model matematika yang mensimulasikan kerja jaringan syaraf pada makhluk hidup. Model ini merupakan paradigma pengetahuan baru karena meniru otak manusia dalam sistem pembelajaran dan penyimpanan memori.
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Judul: Penerapan Jaringan Saraf Tiruan untuk Pemodelan Prakiraan Curah Hujan Bulanan
Abstrak: Rain is very usefull for life but heavy rainfall will lead to disaster if not anticipated properly. Rainfall forecasting is very usefull to anticipate the occurrence of extreme weather. This study developed artificial neural network models for the next three months rainfall forecasting. The data used in this study was the climate data from 1983 to 2013. The climate data used as model input were rainfall, temperature and relative humadity (RH). Temperature and RH averaged on a month period and observed three times a day. The best result from this study was the model with the highest correlation value. The Correlation values of the best model for rainfall forecasting of the next three months were 0.78, 0.83, 0.77 respectively.
Keyword: Bogor Agricultural University (IPB), temperature, RH, rainfall, ANN, forecast

Judul: Distribution and Diversity of Ectoparasite Mites on Geckos in Indonesia
Abstrak: Data on the diversity and dispersal of parasitic mites on house geckos in Indonesia are very scarce. In this work, the distribution and diversity of mites living on three species of house geckos, namely Cosymbotus platyurus, Hemidactylus frenatus, and H. garnotii collected throughout Indonesia, has been elaborated. Geckos and mites were captured and immediately preserved in 70% ethanol. Whole mount of the mites was prepared by clearing in lactophenol followed by mounting on polyvinyl lactophenol solutions. The SEM preparation was conducted to examine the detail morphological characters of the mites. The results showed that among 448 individuals of geckos, 221 geckos were infected by Geckobia mites. Prevalences of C. platyurus, H. frenatus, and H. garnotii infested by mites were 14.8%, 50.69%, and 79.6%, respectively. Three different spesies of Geckobia (G1, G2, and G3) could be differentiated; and based on similarities of their morphological characters to ones described in published literatures, Geckobia G2 is Geckobia glebosum and Geckobia G3 is Geckobia bataviensis while G1 could not be identified to the species level. The highest mean intensity of Geckobia G1 infestation was found on H. garnotii (I=7.0), G. glebosum infestation on H. frenatus (I=3.5), and G. bataviensis infestation on H. garnotii (I=11.8). In general, C. platyurus was infested by the least number of mites. Geckobia G1 were found living on the skin folds on the claws, G. glebosum were found mainly on the body and thigh, and G. bataviensis were found on almost all parts of the host’s body. Geckobia mites are distributed randomly throughout Indonesian Archipelago, following the pattern of distribution of their hosts. So it is concluded that Geckobia G1, G. glebosum, and G. bataviensis are sympatric.
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