Judul: Implementasi Algoritme Empirical Mode Decomposition (Emd) Menggunakan Bahasa Pemrograman R
Abstrak: Perubahan lahan dapat dipantau dengan penginderaan jauh (remote sensing), seperti menggunakan sensor SPOT Vegetation. Teknologi penginderaan jauh sangat bergantung pada pantulan spektral dan panjang gelombang yang dapat menunjukkan dan membedakan material tutupan lahan misalnya air, lahan kering, dan tumbuhan. Spektral adalah daya pisah objek berdasarkan besar spektrum elektromagnetik yang mempengaruhi besarnya derajat keabuan. Keunggulan R untuk analisis data dan grafik selain open source, juga dapat dijalankan pada berbagai sistem operasi. Pada penelitian ini berhasil menerapkan algoritme Empiricial Mode Decomposition (EMD) menggunakan bahasa pemrograman R untuk mengidentifikasi nilai indeks citra SPOT vegetation. Hasil penelitian menunjukkan bahwa hamburan terjadi pada nilai indeks citra di lokasi contoh Sumatera Selatan, Irian Jaya, Medan, dan Makassar.
Keyword: bahasa pemrograman R, Empiricial Mode Decomposition (EMD), Intrinsic Mode Function (IMF), remote sensing, sensor SPOT Vegetation, tutupan lahan

Judul: Implementation of Empirical Mode Decomposition (EMD) on SPOT Vegetation Image Data
Abstrak: Land cover can be monitored by using recording devices, such as SPOT Vegetation sensor. Recorded values are not only obtained from objects on earth surface, but also retrieved from particles in the atmosphere. This phenomenon is known as noise. Normally, land cover change is relatively slow and will establish a pattern. This study will try to implement the Empirical Mode Decomposition (EMD) to identify errors caused by the noise at a specific frequency range of the signal. Another objective of this study is to determine whether the method can show patterns of land cover classification. In EMD method, the signal will be decomposed into two parts, namely Intrinsic Mode Function (IMF) and residue. The input signal is divided into three classes, namely water, vegetation, and artificial structure. The result of this study indicates that EMD method can identify errors caused by atmospheric scattering at a specific frequency range of the signal. Moreover, this method can also show the pattern of land cover classification based on amplitude.
Keyword: 

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