Judul: Serangga Pengunjung Bunga Betina dan Polen yang Terbawa Kumbang Elaeidobius kamerunicus pada Kelapa Sawit
Abstrak: Receptive female flowers of oil palm emit volatile compounds that attract insect to visit the flowers. This research aimed to study female flowers visiting insect and pollen loaded by weevil E. kamerunicus of oil palm. Observations of insects were done by using fix sample method during 10 minutes on receptive female flowers. The weather condition which were measured during observation of insects, i.e. temperature, humidity, light intensity, and wind speed. Insect samples were collected for identification and weevil E. kamerunicus were taken for pollen load measurement. Result showed that the female flowers visiting insect of oil palm were E. kamerunicus (Coleoptera), Chelisoches sp., Forficula sp. (Dermaptera), Scaptodrosophila sp. (Diptera), Camponotus sp., Oecophylla sp., Plagiolepis sp., Polyrhachis sp., Leptanilla sp., Odontoponera sp. (Hymenoptera), and Thrips hawaiiensis (Thysanoptera). Weevil E. kamerunicus was dominant visiting insect. The diversity and evenness of visiting insect on oil palm was considerably low (H ’=0,85; E=0,35). Pollen loaded by male weevil E. kamerunicus (1604 pollens) was higher than that of the female (719 pollens).
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Judul: Frekuensi Kunjungan Kumbang Penyerbuk Elaeidobius kamerunicus pada Bunga Betina Tanaman Kelapa Sawit di Perkebunan PTPN VIII Cimulang, Bogor
Abstrak: Elaeidobius kamerunicus had known as weevil pollinator which had important role in oil palm pollination. Application of the weevil can increase of oil production and fruit set. Visiting frequency of E. kamerunicus determine to pollination of palm oil. This study aimed to know visiting frequency of E. kamerunicus on oil palm’s female flowers age six years. Visiting frequency of E. kamerunicus was observed by fixed sample method in 4x10 minutes using three time blocks, which is in the morning (09.00-10.00 am), afternoon (01.00-02.00 pm), and evening (04.00-05.00 pm). Observations were conducted in 10 days on 10 different trees. Environment parameters which were temperature, humidity, wind speed, and light intensity were measured. A result showed that the highest weevil visitation frequent (130 weevils/10 minutes) to female flowers occurred in the morning. Visiting frequency in afternoon (28 weevils/10 minutes) and in evening (31 weevil/10 minutes) were lower than in the morning. The weevil’s visiting frequency related significantly to temperature and humidity.
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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