Judul: Pemodelan Jaringan Saraf Tiruan untuk Prediksi Akhir Musim Hujan Menggunakan Data Southern Oscilliation Index
Abstrak: Pengetahuan tentang akhir musim hujan memiliki manfaat dalam bidang pertanian, peternakan dan kelautan. Akhir musim hujan harus diprediksi agar petani, peternak dan nelayan dapat mengatur waktu untuk memaksimalkan hasil pekerjaan mereka. Prediksi akhir musim hujan dapat dilakukan dengan pemodelan jaringan syaraf tiruan (JST) propagasi balik. Prediktor yang dipakai adalah Southern Oscillation index (SOI). Prediktor SOI berkaitan dengan kejadian El-Nino yang memiliki hubungan erat dengan musim di Indonesia. Akhir musim hujan ditentukan oleh perhitungan dengan metode Moron. JST propagasi balik dengan prediktor SOI yang menghasilkan hasil terbaik didapat dari bulan Oktober, November dan Desember dengan parameter 2 hidden layer, 20 hidden neuron, dan learning rate 0.1 yang menghasilkan nilai korelasi (r) sebesar 0.7891.
Keyword: Akhir Musim Hujan, Jaringan Saraf Tiruan, Southern Oscilliation Index, Arsitektur JST, Modifikasi nilai apha, Learning rate, JTS

Judul: Pemodelan Jaringan Syaraf Tiruan untuk Memprediksi Awal Musim Hujan Berdasarkan Suhu Muka Laut
Abstrak: Anjatan-Indramayu is the one of agriculture regions in Indonesia. The success or failure of the harvest each year depends on water availability in the region. Therefore we need an accurate method to predict the beginning of rainy season. The method used to predict in this research is artificial neural network (ANN) backpropagation. Result of ANN prediction accuracy is measured by R2 and RMSE. This research uses ECHAM4p5_CA sea surface temperature (SST) is one of the sea surface temperature models with the months of June, July and August. The domain of SST is selected based on the correlation of 5% and 10% for each of the month June, July, and August. This research uses ANN architecture with two parameters: neuron hidden (NH) and learning rate (LR). The number of hidden neurons used in this research are 5, 10, 20, and 40, and the learning rates are 0.3, 0.1, and 0.01. The best prediction result correlation of 5% using the ANN is for June with R2 is 51% and RMSE 3.03 at NH 10 and LR 0.01, July with R2 is 48% and RMSE 3.39 at NH 20 and LR 0.1, and August with R2 is 75% and RMSE 2.51 at NH 40 and LR 0.01. The best prediction result correlation of 10% using the ANN is for June with R2 is 44% and RMSE 3.32 at NH 5 and LR 0.3, July with R2 is 42% and RMSE 3.42 at NH 10 and LR 0.1, and August with R2 is 71% and RMSE 3.37 at NH 20 and LR 0.01. The conclusion from this research is the neuron hidden and learning rate with different values affect R2 and RMSE.
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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