Judul: Gastrointestinal radiographic of the black marsh turtle (Siebenrockiella crassicollis) using iodinated contrast agent
Abstrak: Keberadaan kura-kura pipi putih (Siebenrockiella crassicolis) di Indonesia berpotensi menjadi langka karena diperdagangkan dalam jumlah besar secara ilegal. Konservasi dalam membuat habitat yang sesuai untuk kura-kura pipi putih perlu dipersiapkan guna mengoptimalkan kesejahteraan kura-kura pipi putih terutama dalam sistem digesti yang berpengaruh besar terhadap metabolisme tubuh. Tujuan dari penelitian ini adalah untuk mengetahui anatomi radiografi saluran cerna, waktu transit, waktu pengosongan lambung, dan diameter saluran cerna kura-kura pipi putih. Kura-kura pipi putih dewasa sebanyak enam ekor (tiga jantan dan tiga betina) pada 0,83 ± 0,07 kg berat badan, diadministrasikan media kontras iodin dengan dosis 10 mL/kg (konsentrasi 250 mg Iodin/mL). Kura-kura di letakkan pada wadah penomoran K1, K2, K3, K4, K5, dan K6, selanjutnya dilakukan pencitraan tanpa media kontras lalu dilakukan pencitraan pada 0 menit setelah administrasi media kontras. Pencitraan lalu diteruskan pada 20, 40, 60, 90, 120, 240 menit dan 24 jam. waktu dan gambar yang dihasilkan dianalisa secara deskriptif dan kuantitatif. Hasil menunjukkan bahwa kura-kura pipi putih memiliki divertikulum esofagus, waktu transit >24 jam, waktu pengosongan lambung ≥121’, serta diameter saluran cerna keseluruhan berada dalam rentang rataan 0.30–1.83 cm., The existence of black marsh turtles (Siebenrockiella crassicollis) in Indonesia is currently enlisted as vulnerable due to illegal trade of this species in large number. In order to create suitable habitats for black marsh turtles, conservation efforts need to be prepared to optimize their welfare, especially in regards to black marsh turtle’s digestive system which has a major effect on the body metabolism. This research aims to determine the radiographic anatomy of the gastrointestinal tract, transit time, gastric emptying time, and gastrointestinal tract diameter of black marsh turtles. Six adult black marsh turtles (three males and three females) at 0.83 ± 0.07 kg body weight were administered with iodinated contrast agent at 10 mL/kg (solution concentration was 250 mg Iodine/mL). The turtles were then placed in containers labeled K1, K2, K3, K4, K5, and K6. Radiographic imaging was performed without contrast media. After the administration of the contrast media, imaging was immediately conducted (0 min), and subsequently repeated at 20, 40, 60, 90, 120, 240 minutes and 24 hours. The results revealed the existence of esophageal diverticulum in black marsh turtles. Further observation also showed black marsh turtle’s transit time (>24 hours), gastric emptying time (≥121'), and the range of their overall gastrointestinal diameter (0.30–1.83 cm).
Keyword: Media kontras iodin, kontras radiografi, saluran cerna, siebenrockiella crassicollis, waktu transit, contrast radiography, gastrointestinal tract, iodinated contrast agent, transit time

Judul: Radiografi Anatomi Kerangka Ekstremitas Kura-Kura Pipi Putih (Siebenrockiella crassicollis)
Abstrak: Ekstremitas kura-kura berperan penting untuk menunjang keberlangsungan hidup. Informasi anatomi normal ekstremitas dibutuhkan untuk kepentingan diagnosis dalam bidang medis. Penelitian ini bertujuan mencitrakan radiografi anatomi normal dari ekstremitas kura-kura pipi putih dengan beberapa posisi pengambilan. Penelitian ini menggunakan dua ekor kura-kura pipi putih (Siebenrockiella crassicollis) berjenis kelamin jantan dan betina. Alat yang digunakan berupa digital mobile X-ray dengan pengaturan 50 kV, 3 mAs dan FFD 40 inci. Hewan diposisikan dorsoventral (DV), ventrodorsal (VD) dan lateral pada keadaan normal tanpa peregangan ekstremitas dan diregangkan dengan bantuan sediaan anestesi medetomidine 0,2 mg/kg dan ketamin 10 mg/kg. Hasil penelitian ini menunjukkan bahwa posisi dan kepadatan objek yang berbeda menghasilkan densitas yang akan mempengaruhi kontras radiografi. Berdasarkan tiga posisi pengamatan, posisi DV dan VD menghasilkan radiografi dengan kelengkapan tulang ekstremitas yang lebih baik dari pada posisi lateral. Posisi DV memberikan kontras gambar yang lebih baik dari pada posisi VD. Pada radiografi posisi DV, VD maupun lateral, telapak kaki kura-kura bisa diamati dengan baik apabila dilakukan peregangan untuk mengurangi superimposisi., The extremities of turtles play an important role in supporting survival. Normal anatomical information is needed for diagnostic purposes in the medical field. This study aims to visualize the normal anatomical radiography of the extremities of black marsh turtles with multiple retrieval positions. The study used two black marsh turtles (Siebenrockiella crassicollis) male and female. The tool used is a digital mobile X-ray with settings of 50 kV, 3 mAs, and FFD 40 inches. The turtles are positioned dorsoventral (DV), ventrodorsal (VD), and lateral under normal circumstances without stretching extremities and stretched under medetomidine 0.2 mg/kg and ketamine 10 mg/kg anesthesia. The results of this study showed that the position and solidity of different objects produce densities that will affect radiographic contrast. Based on three observational positions, the DV and VD images produces radiography with extremity bone completeness than lateral projections. DV images provides better contrast than VD. In DV, VD, and lateral images radiography, the soles of the turtle's feet can be observed well when stretched to reduce superimposition.
Keyword: extremities, radiography, Siebenrockiella crassicollis, superimposition

Judul: Sistem Pengklasifikasian Entitas pada Pesan Twitter Menggunakan Ekspresi Regular dan Naïve Bayes
Abstrak: The widespread use of social networks like Twitter encourages some institutions to find out the entities that are discussed and the sentiment toward the entities. This research aims to build a system that can extract entities in tweets and classify the sentiment from the tweets. Entity extraction process is done using regular expressions. Writing regular expressions can capture the diverse entities. Sentiment classification is performed using naïve Bayes classification with Multinomial and Bernoulli models. Sentiment in this research consists of three classes, namely positive, negative, and neutral. Before entering the classification, tweets are normalized by replacing the non-standard words with the standard ones. The test results show that regular expression is quite effective for the entity extraction process. As for the results of the classification, naïve Bayes method produces high accuracy (96.75% for Multinomial and 96.33% for Bernoulli). However, the accuracy obtained depends on the neutral class which amounts to 97.88% for Multinomial and 99.95% for Bernoulli, while the positive class are 85.66% and 33.13% and negative class are 33.67% and 0%.
Keyword: