Judul: Hidrolisis Pati dari Empulur Sagu dan Ampas Sagu untuk Produksi Sirup Glukosa
Abstrak: Sago starch is extracted from the pith of sago trunk, while sago hampas is solid waste generated sago starch processing. Sago hampas still contained some starch which depends on the extraction technique. In glucose syrup production, only starch components are hydrolysis by using acid and enzyme. The objectives of this research are to investigate the direct hydrolysis of sago pith and utilization of sago hampas for glucose syrup production, compared to native sago starch. The results showed the high amount of starch in sago pith (86,0%) and sago hampas (55,3%). Glucose syrup produced from enzymatic hydrolysis has higher dextrose content (DE 71-74) compared to acid hydrolysis (DE 33-42). Glucose syrup produced from sago pith and sago hampas have similar characteristic with glucose syrup produced from native sago starch, but with lower yield.
Keyword: enzymatic hydrolysis, acid hydrolysis, sago starch, sago hampas, sago pith

Judul: Pengaruh gelombang mikro pada hidrolisis asam empulur sagu untuk produksi bioetanol
Abstrak: Sago starch, has a cheap price, a lower quality. Some problems associated with low quality of sago starch including low degrees of whiteness, starch particle size is not uniform, and the declining in starch content during the extraction process in rural areas. Color change of starch during the extraction process is a factor that causes decreasing of starch quality. When the trunk is cut and shredded, browning reaction occurs and strongly bound to the starch granule. Sago starch, isolated from the stem of sago palm, a white granule, is tasteless and odorless. Starch granules are not soluble in cold water. In the extraction, sago pith used must be fresh and must be directly processed. If it delayed would cause starch reduced in the degree of whiteness. Some starch importing countries were unsatisfied with the variety of quality of sago starch, which mostly have very low quality. This causes limited application of sago in the industry. One way to overcome the low quality of sago is to utilize for the production of glucose syrup, which does not depend on the nature of native sago starch.
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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