Judul: Effects of peri-mating and peri-partum supplementary feeding on the reproduction of indonesia female sheep  and goats
Abstrak: The aims of the research were : (1) to compare the reproductive rate and efficiencies of utilization of feed for reproduction of Etawah Cross Goats and Kacang Gbats maintained on low quality feed with and without supplementation during the pe/ri-mating and peri-kidding period, (2) to define the minimum period of peri mating and peri-lambing supplementary feeding needed for maximum reproductive performance for sheep maintained on low quality feed in a continuous mating system during two years, (3) to develop a comparison of reproductive performance between goats and sheep on the same treatments.
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Judul: The Reproduction Performans of Cross Boer and Kacang Goat’s “Case Study in PT. Widodo Makmur Perkasa, Province of Lampung”
Abstrak: This case study aimed as to know about management and the problems that often in the maintenance of the Cross Boer and Kacang Goat’s, pregnancy rate in the natural breeding and artificial insemination of the Cross Boer and Kacang Goat’s, to know the reproductive performance of the Cross Boer and Kacang Goat’s and to know the value of the conception rate (CR) and service per conception (S/C) from the Cross Boer and Kacang Goat’s. this study was carried on November 2007 until July in 2008, based on the method survey descriptive with the primary data collection through the interview from the employee in the PT. Widodo Makmur Perkasa, immediately observation, and the activity data in 2006-2007. The data was analysed qualitatively. The observation showed that maintenance management of the goat is good and need to improvement in feeding management and health management. Appear of pregnant in the cross Boer and Kacang Goat’s with the natural breeding higher than artificial insemination, and the value of service per conception (S/C) 1,2 and the value of the conception rate (CR) 80% in the cross Boer and Kacang Goat’s included normal showed that the artificial insemination was success.
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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