Judul: Analisis Keterkaitan Distribusi Penguasaan Lahan Usaha tani Dengan Distribusi Pendapatan Petani Perdesaan( Studi Kasus di Kabupaten Aceh Utara, Propinsi Aceh )
Abstrak: Pressure to land as a form of resources comes up along with population growth. Populatin growth and social construction formed by nation in the form of penetration of law, economic, politic and culture had raised disparity of land tenure. In agriculture sector, this disparity effected the farm productivity and pattern of relation between land owner and labor. Thus, the level of welfare of relatively landless (gurem) farmer getting worse. The emerge if land conflicts made the farmers’ problems more complicated. Land is the important input of production for farmers. land is the source of income for live sustainability. The square of ownership and tenure of land is one of the main factors determining level of a family’s income as well as farmer household. Limited or even the lack of land ownership and tenure become the beginning of rural poverty that generally happened in Java. The poverty rate in rural is higher than urbanarea. This also shown in North Aceh District which is composed of 80% rural area. In 2010, poverty rate in North Aceh District around 20%, but it tends to decrease from 1 to 1.5% annually. The square of wetland increase every year but the poverty rate in rural area is still high. This research was aimed to: 1) explore and describe farmland institution, 2) analye the influence of land tenure to farm income, 3) analye the linkage between land tenure and distribution of farmers income and poverty. This research took place in North Aceh District, Aceh Province from June to August 2012. Sampling method used was simple random sampling for 122 heads of farmer families. The analysis tools are tabulatin, multiple regression and PCA, correlation as well as Gini Ratio of income and land tenure. Rental of land is more dominant compared to other forms of institutional cooperation related to land. It reached 55% done by landless (gurem) farmers. Farming contributes 78.5% of total income, still dominant compare to other source of income. Each 1% of increasing of square of land tenure will lead to 8.453% farming income increasing. Each 1% change of LPL x dummy will increase 6.615% farming income. Farming income will increase up to 0.915% if length of school period rise 1%. Variable age negatively affect farm income with elasticity - 0.227%.Every 1% addition of family members will cause farming income increase about 0.655. The relation between Gini Ratio and the square of land tenure formed U shape according to correlation of square of land tenure and farmers’ income. Source of income other than farming can increase the total income. Bigger land that owned by farmers, the poverty become reduced. The strategic policies recomended are: 1) land access for landless farmers should be trigged seriously by land expansion, 2) rental mechanism should be simplified in order to rise income, 3) in North Aceh rural area, there should be activities other than farming to increase community welfare. Land institution in North Aceh District covers rental, mortgage/gala, and crop sharing/mawah. This kind of cooperation depend on farmers bergaining position in land institution. Rental refers to equal bargaining position. Mortgage
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Judul: Strategi dan Program Penguatan Ekonomi Petani Lahan Kering Melalui Pendekatan Partisipatif (Studi Kasus di Gampong Lampisang Dayah Kecamatan Seulimeum Kabupaten Aceh Besar Provinsi Nanggroe Aceh Darussalam )
Abstrak: Out of 120 heads of family in Gampong Lampisang Dayah, 60 of them are dry land farmers with farming and herding activities. Farming system conducted in unirrigated agricultural fields depends very much on the rainy season and still uses the subsistent pattern. The main problem the dry land farmers facing is their inability to improve their welfare due to the limited knowledge on managing dry land. The aim of this study is to estimate the level of farmers’ welfare based on per capita income and to evaluate the success of the activities in utilizing the dry land. Dry land farmers in Gampong Lampisang Dayah have the potential to develop farming because the dry land covers an area of 524 hectares, the availability of technical assistance, and the high demand for agricultural products. The productive aged people in this village are about 70.12 percent, while the productive heads of family are around 94.12 percent. The weakness is that social relationship pattern among dry land farmers is still limited to horizontal cooperation, and the network with other institutions has not been established. The activities of dry land farmers are planting the second crop on unirrigated land and raising old plants in the garden, and there are 4 family heads herding buffaloes and cows on 135 hectares of grassy land. The ownership of dry land is averagely 0.6 hectares with an average monthly income of Rp1,083,581, and monthly outcome of Rp Rp691,318. The analysis result of the welfare level of dry land farmers by referring to the figures of per capita income of poverty line in Aceh Besar Regency showed that 47.06 percent of family heads were categorized as poor with the indicator being unable to meet their basic needs. Efforts to improve the welfare of dry land farmers can be carried out with a number of problem solving strategies through SWOT analysis. By utilizing the strength of farmer community and the opportunity in their environment, it is expected they can minimize their weaknesses and prevent the possible threats. Strategy analysis was successful in designing 20 programs for the empowerment of dry land farmers. The recommendation is that it is necessary for the government of Aceh Besar regency, local businessmen and dry land farmers to involve themselves in the activities of empowerment.
Keyword: Strengthening the economy of farmers, Dry land, Participative approach, Usahatani

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