Judul: Pengaruh Waktu Dimulainya Pendinginan Selama Penetasan terhadap Daya Tetas Telur Itik Persilangan Cihateup Alabio
Abstrak: Duck eggs have lower hatchability because they have higher risk of embryo mortality due to a longer incubation than chicken eggs. This study was designed to obtain the proper of start cooling during artificial incubation to improve duck eggs hatchability and hatching weight. Eggs of cihateup alabio duck were obtained from Balai Penelitian Ternak (Balitnak) Ciawi. Eggs were collected weekly in 5 different times. Total egg collected was 419 eggs. Incubated eggs were sprayed and cooled for 0.25 h at room temperature for 2 times a day in setter period. This study used randomized block design and 3 treatments of starting cooling time of egg. Observed variables were egg weight, fertility, hatchability, embryo mortality and hatching weight. Cooling eggs at different times during the setter period did not affect to hatchability. Highest hatchability was obtained on Days 17. The start cooling significantly was affected the hatching weight.
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Judul: Pengaruh Frekuensi Pendinginan yang Berbeda terhadap Daya Tetas Telur Itik Persilangan Cihateup Alabio.
Abstrak: Increasing of duck rearing as a meat producer requires an increase in duck population to fulfill the demand. The objective of this research was to analyze the proper chilling frequency to increase duck egg hatchability from cihateup alabio cross breeds. Chilling frequencies used in this study were once, twice, and three times. One time chilling was done in the afternoon (12.00-13.00). Two times chilling was done in the morning (06.00-07.00) and in the evening (17.00-18.00). Three times chilling was done in the morning (06.00-07.00), in the afternoon (12.00-13.00), and in the evening (17.00-18.00). Materials used in the research were digital thermometer, 491 eggs from Balitnak Ciawi, KMnO4, Na2CO3, 40% formalin, and chlorin. The result showed a high fertility on duck egg from Cihateup Alabio cross breeds (>75% on average) with 4 : 16 (male : female) sex ratio. All of the chilling frequencies had no significant effect on egg hatchability from Cihateup Alabio cross breeds.
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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