Judul: IPB (Bogor Agricultural University)
Abstrak: One of the large rivers flowing in the center of Semarang City is Garang River with watershed area about 203 km2 and having characteristics such as high flood discharge and flash flood. The flash flood on January 25th 1990 caused more than 45 people died and goods loss was estimated to be 8.5 billion rupiahs. In this research, a flood early warning system is made, in which an automatic rainfall recorder (ARR) was placed in upstream of Garang River at sub district Gunungpati and an automatic water level recorder (AWLR) was placed in Simongan weir. To receive rainfall and water level data, a computer as server that is placed in Semarang government office. This also functions for sending flood status of Garang River (prepared/caution/careful) to flood attendants and stake holders. Beside that, artificial neural network (ANN) is used to predict water level in Garang River where the input are rainfall in upstream river for 1, 2, 3, 4 or 5 days before the occasion and the water level in the downstream for 3 hours before the occasion. The output is water level in downstream of Garang River for next 2 hours. This system is integrated with information technology that is SMS (Short Message Services) and Web so that the flood early warning can be accessed anywhere as long as communication network is available. The result of research, time for sending data of rainfall and water level telemetry system is less than 10 minutes, while information system that is built to give flood early warning information is less than 10 minutes. Consequently it fulfill in which the time to receive the information less than time when flood happened that is 2 hours. The result of optimum predicting during the ANN training is model 4 with 20 neurons; speed training 0.9 and momentum 0.3 which the input rainfall are four days before the occasion and the water level are 3 hours before the occasion having MSE 0.0046. Finally, the results of survey to flood attendants and staffs from government show that 86 % of the respondent that they absolutely need the flood early warning system.
Keyword: Automatic Rainfall Recorder (ARR), Artificial Neural Network (ANN), Flood Early Warning, Automatic Water Level Recorder (AWLR)

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: Synthesis of CaTiO3 by Using Eggshell as Source of CaO.
Abstrak: Selama ini, cangkang telur hanya menjadi limbah yang berpotensi mencemari lingkungan tanpa dimanfaatkan lebih lanjut. Tingginya kandungan CaCO3 menjadikan cangkang telur sebagai komoditas yang berpotensi sebagai prekursor dalam sintesis material, seperti kalsium titanat (CaTiO3). CaTiO3 sering digunakan sebagai bahan dielektrik untuk kapasitor, selain itu juga berfungsi sebagai katalis pada proses fotokatalis dan fotoluminesens. CaTiO3 dapat disintesis dengan mereaksikan CaO dari kalsinasi cangkang telur dan TiCl4 melalui metode hidrotermal. Sintesis dilakukan pada 3 kondisi pH, yaitu pH 1, 4, dan 14, dengan suhu 150 oC selama 8 jam. Berdasarkan hasil analisis difraksi sinar-X, sintesis pada pH 1 dan pH 4 hanya menghasilkan kristal TiO2. Kristal CaTiO3 berhasil disintesis pada kondisi pH 14. Hasil uji penganalisis ukuran partikel menunjukkan bahwa kristal CaTiO3 yang terbentuk masih belum homogen dengan ukuran kristal 400–1400 nm.
Keyword: