Judul: Klasifikasi Freycinetia Berbasis Citra Anatomi Stomata Menggunakan K-Nearest Neighbor dan Jaringan Syaraf Tiruan
Abstrak: The classification of Freycinetia is conducted to portray the potential result and function of nutfah plasma spreader. This research is purposed to classify a variety of Freycinetia based on stomata anatomic image by K-Nearest Neighbor (K-NN) and Artificial Neural Network (ANN). The Variety of Freycinetia classification can be described by using two different ways that are morphology and anatomic characteristic. Stomata anatomic image is used to support morphology characteristic in the identification process, especially in uncompleted morphology image specimen and sample. There are two feature extraction techniques in this research. First, is to pick up the color and gray scale element in the image. The scale element has a red, green and blue color (RGB). The grayscale has an entropy, contrast, energy, homogeneity, gray scale and deviation standard. Second, is a wavelet decomposition technique which has a function for decreasing a size of the image without loosing its important element. The taken element becomes a coefficient image of w-entropy for each wavelet level. Ninety six data is used in this research, it contains of four kinds of Freycinetia. They are Freycinetia angustifolia, Freycinetia imbricata, Freycinetia javanica, and Freycinetia sumatrana. The result shows an accuracy level for K-NN according to RGB and gray scale is 86.46% and according to wavelet decomposition is 96.88%. Whereas, the accuracy level of ANN based on RGB color and gray scale element is 94.79% and according to wavelet decomposition is 9 9%. The classification result of plant variety, especially Freycinetia based on stomata image with high accuracy, will be an alternative tool to identify taxonomy type.
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Judul: Identifikasi Freycinetia Berbasis Citra Anatomi Epidermis Daun Menggunakan k- Nearest Neighbor
Abstrak: Freycinetia identification was conducted to determine the potential values, benefits, and distribution patterns as a biodiversity in Indonesia. The purpose of this research was to compare the low frequency and high frequency in Freycinetia identification based on leaf epidermis anatomy image by k-Nearest Neighbor (k-NN). Identification of Freycinetia can be described by using morphology and anatomy characteristics. Leaf epidermis anatomy image was used in the identification process to support the morphology characteristics, especially in speciment and sample with incomplete morphology. This research analyzed ninety six data which contains four kinds of Freycinetia, namely Freycinetia angustifolia, Freycinetia imbricata, Freycinetia javanica, and Freycinetia Sumatrana. The data were transformed by Fourier transformation and filtered in frequency domain to take the low frequency of image and the high frequency of image. It was found that the accuracy of k-NN with low frequency was 90.625% and that of the high frequency was 81.25%. These accuracy values indicated that in the identification of Freycinetia based on leaf epidermis anatomy image by k-Nearest Neighbor (k-NN), the use of low frequency is better than high frequency
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Judul: Transmisi Harga Beras di Indonesia pada Masa Pandemi Covid-19
Abstrak: Pandemi covid-19 telah berdampak pada perekonomian global termasuk Indonesia. Menyikapi penyebaran kasus Covid-19, pemerintah Indonesia memberlakukan pembatasan sosial yang berdampak langsung pada kegiatan ekonomi masyarakat termasuk sektor pangan. Penelitian ini bertujuan untuk menganalisis transmisi harga beras dari tingkat produsen ke tingkat konsumen selama masa pandemi Covid-19. Transmisi harga menggambarkan dampak perubahan harga suatu barang di satu tingkat pasar terhadap perubahan harga barang di tingkat pasar yang lain. Data yang digunakan adalah data time series harian dari bulan Maret 2020 sampai dengan Maret 2021. Data dianalisis dengan menggunakan pendekatan Vector Autoregressive (VAR). Hasil estimasi VAR menunjukkan bahwa harga produsen dan harga konsumen tidak saling mempengaruhi. Tidak adanya transmisi harga antara produsen dan konsumen dapat mengindikasikan bahwa intervensi pemerintah untuk menjaga harga beras selama pandemi Covid-19 sudah efektif.
Keyword: covid-19, price transmission, rice, VAR