Judul: Potensi Sumber Daya Ikan Selar Kuning, Tembang, dan Tongkol di Selat Sunda yang Didaratkan di PPP Labuan, Banten
Abstrak: Pelagic fishery potential in the Sunda Strait is the highest compared to other fisheries. The dominant pelagic fish caught were yellowstripe scad, fringescale sardinella, and thonine orientale. Pelagic fish is a economic important, that facing arrest are increasing every year and it is feared to overfishing. The aims this study are to assess the utilization condition of pelagic fish in PPP Labuan, Banten especially about biological and economic aspects. The method used to determine potential is through the selection correctly of surplus production. Maximum sustainable yield (MSY) and maximum economic yield (MEY) are 1875.02 ton/year dan 1874.71 ton/year for yellowstripe scad, 3311 ton/year dan 3303 ton/year for fringescale sardinella, also 1721.17 ton/year and 1710.64 ton/year for thonine orientale. Actual catche efforts of yellowstripe scad, fringescale sardinella, and thonine orientale has greater than optimum efforts, so that indicated has been biological and economic overfishing. Economic rent on the actual condition of the third kind of fish is lower than the economic rent of MSY and MEY conditions. This condition can be caused by the rate exploitation of the three kinds of fish exceeding the optimum exploitation (> 0.5) so it had overexploited. Economic rent on the actual condition is lowest because degradation of the fish resources has increased every year. The better utilization is MEY condition because these have maximum benefit. Management plan of pelagic fish in PPP Labuan are reduction fishing effort, selectivity of fishing gear, and setting size of the fish can be caught.
Keyword: Sunda Strait., pelagic fish, overexploited, exploitation rate, degradation rate

Judul: Potensi dan Laju Eksploitasi Sumber Daya Ikan Kurisi (Nemipterus japonicus Bloch, 1791) di Selat Sunda yang Didaratkan di PPP Labuan, Banten
Abstrak: Labuan Fishing Port is growing fish landing place around the Sunda Strait. Threadfin Bream include demersal fish with most catch is 14%. The purpose of this study was to assess the condition of the Threadfin Bream in Sunda Strait. In this study, used the surplus production models and ELEFAN I methods. The results showed that exploitation rate of Threadfin Bream males and females respectively are 0.87/year and 0.77/year. Bioeconomic analysis results showed that the optimum production level on utilization for Threadfin Bream resourches was 1 836.05 tons/year; the optimum effort levels on utilizations for Threadfin Bream resourches was 750 trips/year; and the optimum economic rent levels on utilizations for Threadfin Bream resourches was Rp 36 608 932 573/year. Now, Threadfin Bream resourches was indicated has biological overfishing and economic overfishing. One of the effort to overcome it is to reduce the excessive input by limiting fishing effort and fish diversion targets.
Keyword: Sunda Strait, PPP Labuan, Exploitation rate, Threadfin Bream (Nemipterus japonicus), Bioeconomic

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