Judul: Clustering Dataset Titik Panas dengan Algoritme RDBC Menggunakan Web Framework Shiny pada Bahasa R.
Abstrak: Indonesia has tropical forest that is quite extensive, but forest fires often occur resulting in great impact for Indonesia. Monitoring hotspots can be one of the forest fire disaster mitigation efforts. Each hotspot will be recorded on a dataset that can be processed to obtain information. This study aims to build a clustering web application on the hotspot data. This application uses the R programming language to implement Recursive Density Based Clustering (RDBC) algorithms using Shiny framework. Clustering is performed on hotspot data of the Kalimantan island and province of South Sumatra in 2002-2003 to find the pattern of spread of hotspots. The results obtained from the clustering process are evaluated using the Silhouette Coefficient. The SC value of this research is 0.2045354 for Kalimantan Island dataset and 0.232323 for South Sumatera Province dataset. The result is displayed in the form of web pages that can be accessed easily and can be referred for subsequent fire occurrence prediction.
Keyword: clustering, hotspot, RDBC, Shiny, Silhouette Coefficient

Judul: Clustering dataset titik panas dengan algoritme dbscan menggunakan web framework shiny pada bahasa pemrograman r
Abstrak: Kebakaran hutan merupakan permasalahan serius yang terjadi berulang kali di indonesia. Salah satu bentuk penanggulangan bencana kebakaran hutan adalah dengan melakukan pemantauan terhadap titik panas melalui satelit penginderaan jauh. Setiap titik panas yang berpotensi sebagai lokasi kebakaran akan dicatat pada suatu dataset. Penelitian ini bertujuan membangun sebuah aplikasi web yang melakukan clustering pada data titik panas. Aplikasi ini dibangun menggunakan framework shiny dan algoritme dbscan pada bahasa pemrograman r. Clustering dilakukan pada dataset titik panas di pulau kalimantan dan provinsi sumatera selatan pada tahun 2002-2003. Clustering menggunakan dbscan menghasilkan pola-pola penyebaran hotspot kebakaran hutan. Wilayah yang memiliki cluster hotspot terluas adalah provinsi kalimantan barat yang memiliki 3528 hotspot
Keyword: clustering, dbscan, kebakaran hutan, r, shiny, titik panas

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