Judul: Efficiency Analysis of Purse seine Fishing unit in Coastal Fishing Port Lampulo, Banda Aceh.
Abstrak: The fisheries production in Banda Aceh was dominantly contributed by purse seines (76%) for the last five years (2007-2011), the increase in production was due to the increasing number of purse seine fishing unit (DKP Aceh Province 2012). Catches was strongly influenced by the fishermen in using of production factors. Each purse seine in PPP Lampulo had a diversity of production factors which would affect to production result. It has caused many of the fishermen increased the used of production factors without regard to the efficiency of its use. Therefore, fishermen should be more careful and wise (efficient) in using production factors for fishing operations to keep the obtained results or maximum revenue. The objectives of this study are to analyse of productivity and effeciency of purse seine units that based in PPP Lampulo. Hopefully, this study can contribute theory of production in the fisheries sector, to provide input for fishermen as consideration of the purse seine fishery management. There were some factors that support the production catches of purse seine fishing unit such as the size of the vessel, engine power, length of nets, net height, number of crew, fuel, number of light, the amount of ice, clean water usage and supply costs were analyzed using the Cobb-Douglas approach. Productivitiy calculation had done by using the approach of purse seine catches for the year divided by amount of Gross Tonnage and catching trip. The results showed the highest productivity per trip was 1.86 tons/trip in 2012 and the highest productivity per GT was 9.97 tons/GT in 2011. Production factors which significantly affect to catch of purse seine were engine power, net height, number of crew, number of lights and supply cost. Analysis of the technical efficiency towards 54 vessel showed that the vessel engines power production factors (-0.432), the number of crew (-1.116), and number of lights (-0.148) the value of its production elasticity were inefficient (Ep <0), whereas purse seine net height (0.467) was at the rational production stage (0<Ep<1) and factor costs of production supplies (2.181) was efficient (Ep>1) which means inefficient use of production factor. Economic efficiency for the use of production factor wass inefficient because the value of NPMxi/PXI<1.
Keyword: Purse seine, production factors, productivity, efficiency.

Judul: Fisheries Development Analysis of Purse Seine Fisheries Aceh Besar District
Abstrak: Purse seine is one the productive fishing gear for fishing pelagic fishes. Fishing capacity is one the important issue in sustainable fisheries. This study aimed to measure fishing capacity of purse seine in Aceh Besar district, estimated the maximum economic yield (MEY) the targeted pelagic fishes, and formulate management strategies purse seine in the district of Aceh Besar. Fishing capacity was analyzed using the data envelopment analysis (DEA) method based on fishing capacity efficiency of monthly total catch as single output, from September 2009 to August 2010. Fishing vessel was used as decision making unit (DMU). Fixed input consists gross tonnage (GT), engine horse power (HP) and length of webb. Variable input consists number of crew, lamp power (watt), hold capacity (ton), and number of trip. The result showed that fishing capasity, 17 vessels reached optimum (CU=1), and fishing capacity of purse seine was 257 ton/year/unit. Thus bioeconomic analysis of pelagic fishes showed that MEY reached at 3,753.37 ton/year and optimum effort at 8,623 trip/year with total cost Rp 34,992,314,500 year and total revenue Rp 51,643,083,629. Management strategy for purse seine fishery in Aceh Besar district is the development of technology, human resource development and the role of institutions such as institutions laot commander.
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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