Judul: Penyusunan tabel isi pohon untuk jenis Shorea spp dan Dipterocarpus spp di kawasan hutan Propinsi D.T. I Riau
Abstrak: Tujuan penelitian adalah untuk mendapatkan tabel isi pohon yang cermat untuk jenis Shorea PP dan Dipterocar­spp. di kawasan hutan Propinsi Daerah Tingkat I Riau berdasarkan persamaan-persamaan regresi. Pengamatan dan pengukuran pohon contoh dilakukan di tiga blok tebangan yang bertipe hutan hujan tropik bawah, hutan sambut dan hutan rawa. Model acuan untuk pohon normal adalah model logaritmik Schumacher dan Hall. Koreksi model dicobakan pada ukuran diameter pohon-pohon tak normal. Tabel isi pohon untuk jenis Shorea spp. dan Dipterocar spp. pada hutan hujan tropik bawah Propinsi Daerah Tingkat I Riau dapat diturunkan dari sebuah persamaan regresi. Sedang untuk jenis Shorea spp. pada tipe hutan hujan tropik bawah, hutan gambut dan hutan rawa masing­ masing harus diturunkan dari sebuah regresi yang berbeda satu sama lain. Koreksi model yang dilakukan pada ukuran diameter pohon-pohon tak normal sangat berguna sekali.
Keyword: Dipterocarpus

Judul: Identifikasi jenis shorea menggunakan jaringan syaraf tiruan propagasi balik berdasarkan karakteristik morfologi daun
Abstrak: Dipterocarpaceae is a major timber tree of tropical rain forest. Shorea is a genus of the Dipterocarpaceae family which consists of around 194 species. Species diversity may lead to difficulty in distinguishing species of Shorea of one another. It takes knowledge from an expert in the field of Shorea to be able to identify the types of Shorea. Errors in identifying the type of Shorea wood can lead to inappropriate selection for the final usability. Identifying the type of Shorea carried out on five species of Shorea owned Bogor Botanical Gardens on the basis of morphological characteristics of leaves. The identification was carried out using Backpropagation Neural Network. To obtain the values of each leaf morphological characteristics of Shorea, each sample measurement data collected manually. The values are then processed using Backpropagation Neural Network to get the pattern from the training and the accuracy of the test phase. This research used a total of 50 data from five species of Shorea. The data are divided into five subsets. The fifth subset is used in the training and testing phases and conducted five times. The use of methods Backpropagation neural networks in identifying species Shorea produces an average accuracy of 90%.
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