Judul: Pendugaan Curah Hujan Musim Kemarau Menggunakan Data Southern Oscillation Index dan Suhu Permukaan Laut NINO3.4 dengan Metode Support Vector Regression
Abstrak: Various climate disasters in Indonesia are mostly related to the El Nino Southern Oscillation (ENSO) phenomenon. The variability of climate especially rainfall is strongly related to this phenomenon. Southern Oscillation Index (SOI) and sea surface temperature anomaly (SSTA) at Nino3.4 region are two common indicators used to monitor phenomenon of El Nino and La Nina. Furthermore, SOI and NINO SSTA can be the indicator to find the rainfall probability in a particular season, related to the existing condition of climate irregularities. This research was conducted to estimate the rainfall during dry season at Indramayu district. The basic method used in this study was Support Vector Regression (SVR). Predictors used were SOI and NINO3.4 sea surface temperature (SST) data. The experiments were conducted by comparing the model performance and prediction results. The training set was clustered in advance and then SVR model was generated using RBF kernel based on their clustering result. This research obtained an SVR model with correlation coefficient of 0.76 and NRMSE error value of 1.73
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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: Akupuntur pada Kasus Konstipasi Kucing Persia.
Abstrak: Seekor kucing betina ras persia bernama Lucy telah mengalami konstipasi yang berulang kali sehingga terjadi kronis. Terapi akupuntur digunakan sebagai pengobatan alternatif dalam studi kasus ini dengan tujuan meningkatkan motilitas gastrointestinal. Studi kasus ini bertujuan untuk mengetahui efek akupuntur pada kasus konstipasi di kucing Lucy. Terapi akupuntur dilakukan dengan menggunakan dry neddle pada titik BL-21, BL-25, CV-4, CV-6, CV-12, GV-1, ST-25, dan ST-36. Terapi dilaksanakan selama 15 menit setiap terapi dan dilakukan seminggu 3 kali sampai terjadi perkembangan persembuhan. Berdasarkan hasil pemeriksaan fisik dan pemeriksaan penunjang radiografi, terdapat penumpukan feses yang banyak dari kolon hingga rektum. Kucing dapat defekasi dengan lancar setelah terapi ke-3 dan kondisi kucing yang awalnya buruk semakin membaik.
Keyword: akupuntur, dry needle akupuntur, konstipasi, motilitas gastrointestinal