Judul: Total Produksi  Gas  dan  Degradasi  Berbagai Hijauan Tropis pada Media Rumen Domba Yang Diberi Pakan  Mengandung Saponin dan Tanin
Abstrak: The degradation of tropical browse plants in different fermented media rumen fluid had been determined in this experiment. The fermented media was collected from sheep which was obtained feed containing saponin and mix between saponin and tannin. The experimental design for in vitro was Factorial Randomized Block Design 9x3x2 with 3 replications. The first factor was nine kinds of tropical browse plant. The second factor was rumen fluid from sheep which fed with mixed grass (MG) (B1) , MG + saponin (B2) and MG + saponin + tannin (B3) and the third factor was with and without polyethylene glycol (PEG). The experimental design for in sacco was Factorial Randomized Block Design 9x3 with 2 replications. The first and second factors were similar to in vitro experiment. Variables observed were in vitro gas production, in vitro and in sacco dry matter degradation. The data were analyzed by Analysis of Variance, and differences among treatments were examined by Duncan Multiple Range Test. Results showed that difference of rumen fluid had no significant effect on in vitro gas production. In vitro gas production of Pennisetum purpureum and Artocarpus heterophyllus were significantly higher than other tropical browse plants. Rumen fluid containing saponin (P<0.05) significantly increased in sacco dry matter degradation, but there was no significant effect of all treatments on in vitro dry matter degradation. In sacco dry matter degradation of A. heterophyllus was significantly higher than other tropical browse plants but on in vitro, dry matter degradation of A. heterophyllus was similar to P. purpureum. Addition of PEG significantly increased in vitro gas production on B1 and B3, but decreased on B2. Addition of PEG had no effect on in vitro dry matter degradability of nine tropical browse plants.
Keyword: 

Judul: Total  Produksi Gas  dan   Degradasi  Bahan Kering Hijauan Tropis Pada Media Cairan Rumen Domba  yang  Diberi Pakan Mengandung Tanin Kajian: In Vitro dan In Sacco. Skripsi
Abstrak: This research was aimed to determine total gas production and dry matter degradation of fermented tropical browse plants in sheep rumen fluid containing tannins as in vitro and in sacco methods. There were nine types of tropical browse plants, such as Pennisetum purpureum, Brachiaria decumbens, Ciiperus kyllinga, Leucaena leucocephala, Artocarpus heterophyllus , Musa sapientum, Dilenia suffruticosa, Melastoma malabathricum, Sapium baccatum. This research was design using Randomized Completely Block Design Factorial. In vitro experiment and total gas production with 3 factors (9 x 3 x 2) treatment 9 type of tropical browse plants (A), three source of rumen fluids medium (B) such as B1 was control feed, B2 was condenseed tannin treatment and B3 was hydrolizable tannin treatment and with and without Polyethilene Glycol (PEG). In sacco experiment, the design was same with in vitro experiment. Data were analized by analysis of variance (ANOVA) and the differences among treatments were tested by Duncan multiple range test. The parameters observed were total gas production and dry matter degradation. Result showed that Artocarpus heterophyllus has the highest total gas production and dry matter degradation, rumen fluid with contained hydrolizable tannin has the highest total gas production and rumen fluid control has the highest dry matter degradation through in vitro technique and in sacco. There was interaction between rumen fluid with contained hydrolizable tannin with Artocarpus heterophyllus in total gas production and dry matter degradation through in vitro technique and in sacco. Polyethilene Glycol addition caused increasing of total gas production and dry matter degradation through in vitro technique.
Keyword: 

Judul: Quantum Convolutional Neural Network (QCNN) for Classification Brain Tumor MRI Image
Abstrak: Penelitian ini bertujuan untuk mengembangkan model deteksi tumor otak menggunakan citra MRI dengan metode Quantum Convolutional Neural Network. Data yang digunakan adalah citra MRI otak yang terdiri dari citra tumor otak glioma, meningioma, hipofisis, dan negatif tumor yang dibagi kedalam data latih dan uji dengan rasio 80:20. Selanjutnya data latih dilakukan penyeimbangan dengan teknik oversampling. Dilakukan pengembangan model untuk mendeteksi tumor otak (biner), dan juga model untuk mengklasifikasikan jenis tumor otak (multiclass). Parameter yang digunakan dalam pengembangan model adalah jumlah ukuran filer = 2 dan kedalaman = 4, dengan qubit 4, dan dilatih dengan jumlah epoch sebanyak 10. Data akan diproses dengan metode Quantum Convolutional Neural Network yang terdiri dari lapisan quantum convolution, lapisan flatten, dan lapisan dense. Model multiclass mendapatkan akurasi 52%, setelah data latih diseimbangkan akurasi model meningkat menjadi 62%, sedangkan model biner mendapatkan akurasi 88%, setelah data latih diseimbangkan akurasi model meningkat menjadi 89%.
Keyword: Citra MRI, Klasifikasi Citra, QCNN, Tumor Otak