Judul: Keragaman Serangga Pengunjung Bunga Jantan Kelapa Sawit .. (Elaeis guineensis Jacq.)
Abstrak: Oil palm (Elaeis guineensis Jacq.) is one of the plantation crops that became the source of non-oil foreign exchange earner in Indonesia. Oil palm is monoecious plant, in which the same tree bears male and female flowers. Generally a male and female flowers do not bloom simultaneously. Consequently, cross-pollination with weevils help is needed. A weevil species, Elaeidobius kamerunicus is an effective pollinating insect of oil palm because it is specific and well adapted either in wet or dry seasons. The objective of this research was to study the diversity of insects that visit male flowers of oil palm besides E. kamerunicus. The observations were conducted during three days in each month, ie May, June and July 2011 for 10 minutes using fix sample method. During the observation, the name and the number of individual species of insects visiting the male flowers of oil palm were recorded. Performance of weather elements, ie temperature, humidity, and light intensity were measured. Further, insects identification were conducted in the laboratory. Results showed that, besides E. kamerunicus, in PTPN VIII, AFD IV Toge, Garden Cikasungka Bogor were found Rhynchomyia, Scaptodrosophila (Diptera), Diplatys, Forficula (Dermaptera), Camponotus, Dolichoderus, Cerapachys, Crematogaster, and Heteroponera (Hymenoptera). Scaptodrosophila was the dominant visitor insect. Dermaptera and Hymenoptera were predatory insects. The diversity and evennes of insects visiting male flowers of oil palm were low (H’ = 0,59 and E = 0,27).
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Judul: Komunitas Serangga Indigenous pada Bunga Jantan Kelapa Sawit (Elaeis guineensis Jacq.) di Kebun PTPN VIII Cimulang Bogor.
Abstrak: Oil palm is the biggest source of natural oil in the world. Oil palm is monoecious plant, but the male and female flower of the plant located at a different cluster. This study addressed to study indigenous insect community on male flower at oil palm. The insect were observed by fixed sample method on May, June 2011, January, November, and December 2012. Relationship between environment factors and insect community were analyzed by Pearson’s correlation with Sigmaplot software version 10.0. From the observation we found 5 order and 10 genera, such as Apis, Odontomachus, Camponotus, Anoplolepis, Braconid, Scaptodrosophila, Curculionid, and Dermaptera (sp1, 2, and 3). Bee, Apis cerana visited male flower of oil palm and the species role in pollination. The other, we found predatory insects, such as, Odontomachus, Anoplolepis, and Dermaptera. Result showed that the most dominant insect was Scaptodrosophila sp. The insect population significantly affected by environmental temperature.
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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