Judul: Sistem Identifikasi Famili Secara Otomatis Berbasis Teks Menggunakan Dokumen Etnofitomedika
Abstrak: This research represents a text-based system that can be used for automatic identification of plant families according to the taxonomy of plants. The identification was done by utilizing information from etnofitomedika documents on plant characteristics that can represent the family of each plant including morphology, habitats, habitus, and biochemical compounds. The method used in this research is Chi-Square method to select important words in each document and Naïve Bayes method to classify the words. The experimental results showed that the critical value using significance level of 0,001 had better accuracy than the critical value using significance level of 0,01. The accuracy of classification systems based on family category using K-fold cross validation with significance value of 0,001 was 85,5%. It was found this system is useful in helping users especially researchers and taxonomists for plant family identification. Furthermore, it can help strengthening the knowledge on biodiversity and the use of medical plants.
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Judul: Penggabungan Ciri Citra dan Teks untuk Sistem Pencarian Tumbuhan Obat Indonesia Berbasis Web
Abstrak: This research investigate the effectiveness of image and text fusion for Indonesian medicinal plant search engine based on web application. This research used 51 species of Indonesian medicinal plants and each species consists of 48 images, so the total images used in this research are 2448 images. WeightedSUM is general linear combination formula to combine image and text features. Further research was conducted on the combination of features to get a better result in medicinal plants search engine. Fuzzy Local Binary Pattern (FLBP) is used to extract texture in image processing. This research uses the Probabilistic Neural Network (PNN) to improve image similarity that used in the fusion process. BM25 weighting in document search engine is used to get text similarity. Image and text similarity are combined using WeightedSUM to get the retrieval results. The experimental results show that the fusion of image and text features can improve the performance of retrieval results. In particular, the Average Precision (AVP) has increased from 0.31 to 0.71
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Judul: Egg drop syndrome 1976 ( EDS '76 )
Abstrak: Dalam Rancangan Pelita Ketiga (1979/80 - 1983/84) dijelaskan bahwa tujuan pembangunan antara lain adalah me ningkatkan mutu gizi pola komsumsi masyarakat melalui pe- ningkatan penyediaan karbohidrat, protein dan vitamin. Selain daging dan susu, telur adalah sumber protein hewani yang sangat penting. Oleh sebab itu dalam rangka peningkatan penyediaan protein pemerintah terus berusaha meningkatakan produksi telur dengan menggalakan peternak- an rakyat dan peternakan komersil yang telah maju. Peter- nakan yang telah maju dapat berfungsi sebagai pusat latih an dan pengembangan usaha peternakan rakyat disekitarnya. Mereka dapat sebagai sumber bibit dan tehnologi bagi pe ternakan rakyat. Menurut data dari Bulletin Statistik dan Ekonomi. Ter nak (1981) produksi telur dari Repelita I sampai Repelita III terus meningkat. Dalam Repelita I terdapat kenaikan produksi telur +4,2% per tahun. Dalam Repelita II produk- si telur meningkat +13,8% per tahun dan dalam 2 tahun Re- pelita III (1979-1980) terdapat kenaikan rata-rata produk si telur +6,93% per tahun. ...
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