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: Persentase Rendemen Berat Wol Domba Garut dan Domba Batur Selama Proses Pengolahan serta Kualitas Benang yang Dihasilkan
Abstrak: The wool of local sheep is still a by-product that can be used for some craft products. The aims of this research were to study the wool weight yield during the processing and to know quality of the wool yarn. Parameters were consisted of wool weight yield percentage during sorting I, washing, sorting II, carding and during spinning, and the quality of yarn, i.e, strength and elongation of the yarn. This research used the T-test analysis. There were 5 repetitions for observed wool weight yield during the process; 2 repetitions for strength and elongation of the wool yarn from garut sheep; and 5 repetitions for strength and elongation of the wool yarn from batur sheep. The results showed that percentage of wool weight yield from garut and batur sheep was not significantly different, except for the yield in spin stage that tended to be different. The yarn quality was statistically similar between two types of wool, but for the elongation they tended to be different. Sheep breed difference was not significant on wool weight yield and yarn quality. It is concluded that wool of garut sheep can be processed to make yarn, as same as wool of batur sheep.
Keyword: yarn quality, wool weight yield, 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