Judul: Prediksi Awal Musim Hujan Menggunakan Adaptive Neuro-Fuzzy Inference System pada Studi Kasus Kabupaten Indramayu
Abstrak: Climate anomalies cause the onset of the rainy season changes in Indonesia. In agriculture, the change complicates precise determination of cultivation. Incorrect determination increases crop failure due to droughtness. As one of the national granaries, rice production in Indramayu highly depends on the climate. This research aims to predict the onset of the rainy season in Indramayu using adaptive neuro-fuzzy inference system (ANFIS). The data used in this study are southern oscillation index (SOI) from Mei to August as predictor and the onset of the rainy season from 1971 to 2010. SOI data was reduced to 7 intervals. There are 5 rain regions in Indaramayu, and the average rain region was predicted using ANFIS model for each region. The prediction result was evaluated using the root mean squared error and the squared correlation coefficient. The best prediction result was obtained at interval [-7,7] with an average of the root mean squared error of 19.5 days and a squared coefficient correlation of 0.33.
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Judul: Prediksi Awal Musim Hujan Menggunakan Data Southern Oscillation Index dengan Support Vector Regression
Abstrak: Climate is one of the important aspects in human life. The information about prediction and forecasting is required, especially in agricultural sector. However, the current prediction for rainy season onset using linear regression method is not very good.The main objective of this research is to develop a model using support vector regression to predict the onset of the rainy season, in order to get the accuracy of climate information. Rainy season onset prediction has been attempted at 1 weather stations in Indramayu. The data used in this study is the Southern Oscillation Index (SOI) from June to August and the onset of the rainy season (AMH) from 1979-2008. The domain of the SOI was selected based on the correlation. Prediction result was evaluated using the root mean squared error and squared correlation coefficient. The average squared correlation coefficient value obtained was 0.7 and the root mean squared error was 2.3 using the RBF kernel function.
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Judul: Sifat optik dan sifat listrik diode schottky film Barium Titanat (BaTiO3) berstruktur emas - BaTiO3 (Metal – ferroelektrik)
Abstrak: Diode Schottky (emas - BaTiO3) berhasil dibuat dengan ditumbuhkan di atas permukaan interdigital electrode berbahan emas(Au) menggunakan metode Chemical Solution Deposition (CSD) . Film BaTiO3 dibuat dengan proses annealing pada suhu 400oC dengan variasi holding time annealing 4 jam dan 10 jam. Karakterisasi sifat optik diode Schottky dilakukan menggunakan UV-Vis Spektrofotometer untuk memperoleh nilai energi gap Film BaTiO3. Nilai energi gap BaTiO3 pada dua perlakuan holding time annealing 4 jam dan 10 jam sebesar 3.27 eV dan 3.21 eV dan nilai energi gap tersebut termasuk dalam kategori semikonduktor. Karakterisasi sifat listrik diode Schottky dilakukan menggunakan LCR Meter yang didapatkan nilai konduktivitas listrik pada Holding time annealing 10 jam lebih besar daripada 4 jam. Kemudian, didapatkan nilai impedansi yang menunjukkan bahwa pada holding time annealing 4 jam lebih besar daripada holding time 10 jam. Didapatkan pula nilai konstanta dielektrik yang menunjukkan pada waktu holding time annealing 4 jam lebih besar daripada 10 jam.
Keyword: Barium titanat, diode schotty, ferroelektrik, sifat optik, sifat listrik, emas, metal