Judul: Laju Pertumbuhan dan Kualitas Wol Domba Batur dan Domba Garut
Abstrak: Batur sheep and garut sheep have good potential of their wool utilization because both types of sheep are crossbreed between local sheep with merino sheep. Research about wool quality of local sheep is still very limited. Information about growth rate and quality of wool would be useful as a reference for the utilization and processing of wool. Parameters observed in this research consist of growth rate, staple length, fibre diametre, staple strength, and staple elongation. Wool sample taken from midside body of sheep. This experiment was conducted on a sheep farm in Garut and Banjarnegara and Physical Evaluation Laboratory, Higher School of Textille Technology Bandung. Data were analyzed using T-Test method with 2 independent samples with five replicates of each samples and the data then was processed using Minitab 16. The analysis showed significant difference in the parameters of length, diameter and fibre growth rate. Conversely, breed factor had no significantly differences to staple strength and staple elongation. Batur sheep has a characteristic and wool’s quality better than garut sheep, so that batur sheep has a more chance to develop as a wools producer
Keyword: wool quality, growth rate, garut sheep, batur sheep

Judul: Karakteristik Fisik Wol Domba Batur dan Domba Garut
Abstrak: Batur sheep produce medium wool, while garut sheep produce coarse wool. Knowledge about wool physical characteristics of both breeds are important due to the potential background for utilization to certain product. The aims of this research were to indentify and compare wool physical characteristics of batur sheep (WB) and garut sheep (WG). The variables observed including bundle tenacity, elongation, flammability, sound and thermal insulation properties. The comparison data of sound and thermal insulation ability between board (P), board + batur sheep wool (PWB), and board + garut sheep wool (PWG) were designed by Completely randomized design (CRD) and analyzed by Analysis of Variance (ANOVA) as well as the comparison data of flammability between WB, WG, P and nylon. The other data were analyzed by T-test. The result showed that WB and WG had no significant difference on their tenacity, resilient, and flammability (P > 0.05). PWB and PWG had better sound and thermal insulation ability more than P. Wol had flammability better than P and nylon
Keyword: wool, physical characteristic, garut sheep, batur sheep

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