Judul: Performa Kambing Peranakan Etawah Muda dan Produktivitas Induk Laktasi dengan Sistem Pemberian Pakan yang Berbeda di Lahan Pasca Galian Pasir
Abstrak: This study aimed to examine the effect of different feeding systems on post-mining of sand land performance of young Peranakan Etawah goat and lactation productivity of Etawah ewe The study used 12 goats (12,592 ± 1,326 kg) within 3-6 months of age. There were two factor of treatment. Treatment one was differences of eating time (W1 = 08.00 a.m to 04.00 p.m and W2 = 02.00 p.m to 04.00 p.m). Treatment two was type of feed (P1 = 100 g/day concentrate and forage, P2 = forage). Protein content of concentrate was 19,32% and forage affered ad libitum. The data were analyzed descriptevely for dry matter intake, feed eficiency and Income Over Feed Cost (IOFC) but the method for daily Body Weight Gain (BWG) used in this study was 2x2 factorial completely randomized design. The results showed that BWG of goats was significantly different among treatment (P<0,01). There was interaction betwent W & P trial. Daily BWG was significantly higher in trial W1 and P1 as well as IOFC with average daily BWG is 74,41 ± 11,89 and IOFC is Rp. 249.666,67. Subsequent study on the lactation productivity Etawah ewe of different feeding systems. This study used 15 goats within 10 goats in lactation two and 5 goats in lactation three. Treatment was differences type of feed (P1 = forage, P2 = forage and food industry waste). The data feed consumption were analyzed descriptevely. Data production and milk quality were analyzed using t test. Dry matter of milk was very significant higher (P<0,01) in ration added food industry waste than ration without food industry waste adition, while protein content and fat in milk was significant (P<0,05).
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Judul: Produksi dan kualitas susu kambing peranakan etawah (PE) pada kondisi tatalaksana yang berbeda
Abstrak: Milk production of goat influenced by breed, genetic, age and rearing management. In Indonesian breed, genetic and age of goats among dairy goat farm are almost the same, but the rearing management varied any the farm. Therefore it was needed to know effect of rearing management on milk production of using goat. A study was done for 2 month to observe effect of rearing management on milk production of Etawah grade goat at 4 dairy goat farms. The data were then analyzed using t – test for comparing the farms (Cordero : A, 700 m above sea level, Prima Fit : B, 350 m, Mr. Purwadi : C, 300 m and PT Gizi Dewata Utama : D, 500 m). The forage : concentrate ratios at each farm were 36 : 64, 40 : 60, 50 : 50 and 64 : 36 for A, B , C and D, respectively. From the results it was concludec that the best farms was D fam that had highest milk production dan best milk quality.
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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