Judul: Karakteristik Warna Benang Wol Domba Batur yang Diberi Pewarna Alami
Abstrak: Batur sheep wool can be used as handicraft with high economic value. All this time, during the processing of turning wool into handicraft, syntetic color is still used. Syntetic color has side effects to both health and environment. The aim of this research was to study Batur sheep wool quality given natural dyes treatment. The measured variables consisted of water absorbance, dimensional stability, color intensity, and color fade resistance. Repetition was done 3 times to observe water absorbance, dimension stability, color intensity, and color fade resistance. Data were analyzed using T-test. Result showed that comparison between natural and synthetic dyes in water absorbance and shrinkage of Batur sheep wool were not significantly different (P>0.05). Color intensity showed that wool given natural dyes treatment appeared darker than wool given synthetic dyes. Color fade resistance of wool given yellow natural dyes is the best from the other
Keyword: wool yarn, natural dye, 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