Judul: Seleksi ciri morfologi untuk membangun kunci identifikasi Asterinaceae berdasarkan Principal Component Analysis
Abstrak: Characters of each fungal species may show similarities to others, such that they are related to each other. In this case, the characters of 90 species of Asterina, 2 species of Asterolibertia, 7 species of Lembosia, and 2 species of Parasterinella (Asterinaceae) were studied. These species are delimited based on 116 morphological characters with three different character states (71 nominal, 33 ordinal, and 12 numerical). Recognizing each species using all those characters is rather difficult. Therefore, selection of representative characters is needed. Selection was done by reducing the number of features to the minimum without losing the essential information using Principal Component Analysis (PCA) approach. Eventhough PCA is usually applied for one type of data, in this research PCA was experimented for mixed data types. The purpose was to select the most representative morphological traits. Selected traits were then used as parameters in the construction of interactive Asterinaceae identification system using the principal component scores. The result of this research shows that PCA can be used to reduce the traits with different data types. Its 23 characters out of 116 characters were selected. The accuracy of the identification system based on those 23 traits was 100%, as all Asterinaceae species can be identified
Keyword: 

Judul: Clustering Jamur Asterinaceae Menggunakan Metode K-Means
Abstrak: Fungi are one of the many cultivated crops by farmers in upland areas. Fungi are beings who are heterotrophic eukaryotes, which absorbs organic matter from the environment so that his life is parasitic and saprophyte. Diversity of these fungi cause difficulty to distinguish between one type and another. Before identifying fungi taxa Asterinaceae Australia, a grouping or clustering method is required to recognize the fungi by their characteristics. In grouping these fungi, characteristics possessed are first converted into binary form. K-Means clustering method is then utilized. There are three main stages for the clustering purpose, namely normalization, K-Means method, and Davies Bouldin Index calculation. The results show that the best clustering is obtained with 10 clusters.
Keyword: K-Means., fungi Asterinaceae, Davies Bouldin Index

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. ...
Keyword: