Judul: Biologi Reproduksi Brachymeria Lasus Walker (Hymenoptera: Chalcididae) pada Ulat Penggulung Daun Pisang Erionota Thrax Linnaeus (Lepidoptera:Hesperiidae)
Abstrak: The objective of this research was to obtain information on the life span and some reproduction characteristics of Brachymeria lasus adults, including number of offsprings produced by a single parasitoid, sex ratio, and the most suitable host pupal age for parasitoid development. The research was carried out in The Laboratory of Biological Control, Department of Plant Protection, Bogor Agricultural University. Parasitoids B. lasus were obtained by collecting pupae of Erionota thrax parasitized by B. lasus from the field, and then were kept in plastic containers in the laboratory. Rearing of B. lasus was conducted by putting a copulated female of parasitoid in a test tube provided with fresh pupae of E. thrax to be parasitized, and fed with 10% honey solution. Effect of food and host (no food no host, with water no host, with 10% honey no host, and with 10% honey with host) on the life span of parasitoid adults was observed. To observe the total number of offsprings, a copulated female was provided with fresh host pupae (one pupa or two daily as needed) every day until the parasitoid died. To find the suitable host pupal ages for parasitoid development, a different age of host i. e. prepupae, 1, 2, 3, 4, 5, and 6 day-old pupae, each was exposed to a different copulated parasitoid female for 18 hours. Effect of three different sizes of host pupae (small, medium, and large) on the parasitoid offspring production was also observed. Females of B. lasus provided with 10% honey solution as food with or without pupae as host could live longer (12-17 days and 10-13 days, respectively) compared to those without food or fed with water only which could live for only 3 days. Number of offsprings produced by a female of B. lasus ranged 71-126, with the average of 98.2. Parasitoid B. lasus could develop successfully in 1-3 day-old host pupae. The parasitoid could parasitize prepupae and pupae older than 5 days but the parasitoids could not complete their develpoment. The host pupal size affected the number and the sex ratio of parasitoids emerging from a single host pupae.
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Judul: Biologi Parasitoid Brachymeria lasus Walker (Hymenoptera: Chalcididae) pada Ulat Penggulung Daun Pisang Erionota thrax Linnaeus (Lepidoptera: Hesperiidae)
Abstrak: This research was conducted to study some biological aspects of parasitoid, Brachymeria lasus , such as the life cycle, morphology , and the behavior. Research was carried out in The Laboratory of Parasitoid and Predator Biology, Department of Plant Protection, Bogor Agricultural University. Pupae of Erionota thrax parasitized by B. lasus were collected from the field and then were maintained in plastic containers until the emergence of parasitoid adults. Mated females of B. lasus were kept in a test tube (20 cm long, 3 cm in diameter), and then were provided with 1-day-old pupae of E. thrax to be parasitized. Parasitized pupae of E. thrax then were moved to another test tube and were used for observation of the parasitoid biology. The morphological features of the parasitoid larvae and pupae were observed by dissecting parasitized pupae every day starting on the second day after parasitization. To observe the life cycle of the parasitoid, parasitized pupae of E. thrax were maintained in test tubes until the eclosion of parasitoid adults. In general, adults of B. lasus (females and males) were black in color with the body size was less than 6 mm, and were characterized with the large femur of the hind legs. B. lasus have hymenopteriform eggs, hymenopteriform larvae, and exarate type pupae. The life cycle of B. lasus ranged 13-14 days. Adults of B. lasus mostly emerged in the morning within 07:00 - 11:00 hours
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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