Judul: Faktor-faktor pendukung dan penghambat pengembangan usaha ternak sapi perah (studi kasus di Kelurahan Kebon Pedes Kecamatan tanah Sareal Kota Bogor)
Abstrak: Dairy farms have a high opportunity to be developed, but the farmers faced constraint those can be threat the sustainability of the dairy farms. During 1999- 2003, the average milk consumption per capita in Indonesia increased as much as 1.05% per year. A case study was carried out to understand the supporting and constraint factors for dairy farms development in Kebon Pedes, Bogor during May to June 2005. Thirty farmers by census and 30 people live around the farm by purposive were used as sample. Descriptive analysis, financial and milk demand forecast were used to analyze data. The farmer's average income per year was Rp 30,465,334.16 and R/C ratio was 1.93. It indicated that the dairy farm in Kebon Pedes was feasible. The supporting factors for dairy farm's development in Kebon Pedes were farmer knowledge, milk price, financial, institution, dairy cattle populatio~i and demand of milk in Bogor, which increase every year. The constraint factors are climate, land, and the environment pollution.
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Judul: Analisis Keuntungan Usahaternak Sapi Perah (Kasus di Kelurahan Kebon Pedes, Kota Bogor
Abstrak: Indonesia’s milk production in 2012 equal 959.732 litre. Most of dairy cattle farmers in Indonesia run their business in small and medium scale. Productivity of dairy milk is closely related to the location of the farm. One of the location dairy farm in Bogor city is in Kebon Pedes sub-district. Dairy farm activities in Kebon Pedes sub-district been going on for decades. This area has an average temperature of 36o – 40o C and the unavailability of land as source of green feed making dairy milk productivity is not good. The results of this research showed milk productivity average by 10,51 litres per day. Cost of concentrate feed contributed the highest percentage of the total costs that equals to 49,33% of the total cost. Profit of dairy farm average by Rp.2.296,30 per litre and R/C ratio obtained 1,39. Feed cost factor and health cost factor significantly affect profitability of dairy farm business.
Keyword: profitability, dairy farm, dairy milk

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