Judul: Pola Konsumi dan Kecukupan Protein Hewani Rumah Tangga Kabupaten Sukabumi
Abstrak: Sukabumi Regency has a relatively high rate potential production of poultry. However, the pattern of the consumption of Sukabumi Regency people shows that fish is utilized as the main source of animal protein. Hence, the objectives of the present research are: (1) to analyze the consumption pattern of animal protein in Sukabumi Regency's households, (2) to analyze the elasticity level of demand on animal protein in households, (3) to analyze the level of consumption and the level of animal protein adequacy in households. The present research was conducted using the Almost Ideal Demand System. The research results suggest that all groups of participants (low income, moderate income and high income group) consume fish as the main source of animal protein. Low income group's rate in consuming fish is 11.29 kg/capita/year, moderate income group's rate is 11.98 kg/capita/year and high income group's rate is 21.72 kg/capita/year. Besides, the results indicate that all groups of participants consume ruminant as the animal protein source the least. Low income group consumes 0.00 kg/capita/year, moderate income group consumes 0.13 kg/capita/year and high income group consumes 1.37 kg/capita/year. According to the protein adequacy level in Sukabumi Regency only eggs have meet the standard of Widyakarya adequacy with adequacy rate is 134.38 percent. As for ruminant is only met 26.36 percent, poultry is 98.86 percent, fish is 57.71 percent and milk is 39.73 percent
Keyword: Pattern of consumption., Protein Adequacy, Elasticity, AIDS

Judul: Analisis Pola Konsumsi Bahan Pangan Sumber Protein Hewani Berdasarkan Golongan Pendapatan di Kabupaten Cirebon
Abstrak: Animal Protein is the nutritional elements that must be met by the community in order for the creation of qualified human resources. As the dominant area of the coast, Kabupaten Cirebon has the potential of producing foodstuffs of animal protein sources, especially fish. However, fish consumption in the region is not a dominant. Therefore, used Almost Ideal Demand System (AIDS) methods to look at food animal protein consumption patterns Kabupaten Cirebon in each of the revenue, using SUSENAS 2012 data. The egg is a commodity, the dominant consumed. The elasticity of demand of food animal has the properties of inelastic, on commodity among fish eggs have a relationship with a dominant substitution, whereas the dominant complementary relationships occur on commodity meat with eggs. Meat becomes a commodity that has the largest income elasticity values. Animal protein needs of the low income not sufficient standards established. When a simulating done beef price hike, the low income who are having the biggest impact because of the animal's food consumption patterns are having a significant decline
Keyword: simulating, patter consumption, elasticity, AIDS

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