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: 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