Judul: Prediksi Curah Hujan Bulanan menggunakan Teknik Jaringan Syaraf Tiruan
Abstrak: Metode Jaringan Syaraf Tiruan telah lama dimanfaatkan dalam prediksi curah hujan bulanan. Prediktor yang digunakan berupa curah hujan historis serta indeks ENSO wilayah Nino-3.4. Pada kenyataannya, keragaman curah hujan Indonesia tidak hanya dipengaruhi oleh ENSO, fenomena iklim IOD juga berperan, sehingga DMI sebagai indeks kejadian IOD dapat digunakan menjadi prediktor penduga curah hujan. Wilayah dengan pola curah hujan monsunal memiliki korelasi kuat terhadap prediktor indeks ENSO dan DMI, terutama pada periode Juni-November, sedangkan wilayah dengan curah hujan ekuatorial memiliki korelasi lebih rendah. Penerapan JST model 3 pola curah hujan monsunal menghasilkan R2 0.59-0.82 dan RMSE 0.04-0.09 dengan tingkat akurasi yang tinggi dibandingkan model lain. Sebaliknya, prediksi pada wilayah dengan curah hujan pola ekuatorial menghasilkan R2 rendah berkisar 0.13-0.37 dan RMSE lebih tinggi dibandingkan pola monsunal, yaitu 0.07-0.16. Rendahnya nilai R2 dan tingginya nilai RMSE menunjukkan bahwa keakuratan prediksi di stasiun pengamatan dengan pola hujan ekuatorial lebih rendah. Hal ini disebabkan oleh rendahnya pengaruh dari indeks ENSO dan IOD sebagai prediktor terhadap keragaman curah hujan di wilayah tersebut serta adanya limitasi model pada proses iterasi. Berdasarkan empat skenario model, semakin panjang periode prediksi yang dilakukan, maka tingkat ketepatan hasil prediski akan semakin berkurang.
Keyword: rainfall, prediction, artificial neural network, ENSO, IOD

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: Case Study of Gallbladder Mucocele and Treatment Used In Small Animals
Abstrak: Gallbladder mucocele (GM) is defined as distention of the gallbladder caused by an inappropriate accumulation or deposition of high concentrations of bile. The purpose of this case study is to study GM conditions in small animals and to report the clinical sign and characteristics of GM through the sonogram interpretation and blood chemistry test evaluation, and studies related to the therapy given and other treatments recommended. A 14-year-old Toy Poodle dog has been diagnosed with severe GM and cholecystitis. No pain signs were shown during the physical examination as asymptomatic is a common characteristic in the early stage of biliary related diseases. In this study Abdominal ultrasonography interpretation and blood chemistry evaluation was conducted in 2021-2022 and analyzed as a secondary data source. Ultrasonography results showed presence of hyperechoic, immobile deposits in gallbladder accompanied by wall thickening and enlarged in size, followed by a significant increase in the enzyme alkaline phosphatase (ALP). This study has summarized mainly the diagnosis and treatments of GM in small animals and suitable alternatives treatments were recommended to encounter the GM conditions in small animals. The effectiveness of combined therapy shows the positive impact on the patient, the condition of GM has been under control.
Keyword: ultrasound, gallbladder, biliary sludge, abdominal ultrasonography