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
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Judul: Membangun Kunci Identifikasi Asterinaceae Berhifopodia Menggunakan k-Nearest Neighbour KarakterMorfologi
Abstrak: Each species of fungi is distinguished by a set of characters that are unique to that species. One of those are morphological characters. This study is aiming at setting up the interactive identification key of the Hyphopodiate Asterinaceae that consist of 37 species of Asterina, 1 species of Asterolibertia, and 4 species of Lembosia, using K-nearest neighbour method (KNN). KNN is one of classification methods that calculate similarity based on the distance between data training and data testing. A set of 116 morphological characters with two data types i.e 104 nominal data and 12 numeric data of 93 specimens were used to set up the models of the identification key. Euclidean distance was used for the numeric data type where as the Hamming distance was used for the nominal data type. The Euclidean distance and the Hamming distance will be combined by the aggregation function. The smallest value of aggregation indicated the degree of similarity between groups and the identity. Web-based interactive identification key of Hyphopodiate Asterinaceae was used as a primary source of information of the diversity of Hyphopodiate Asterinaceae in the world for mycologists and other users. Data from 42 species each were used as data testing. It was found that the accuracy of normalized data was higher than the unnormalized data, with values of 100% and 78.38% respectively. Therefore, this web-based identification was developed by using the normalized numeric data.
Keyword: Hyphopodiate Asterinacea, Identification key, k-Nearest Neighbour.

Judul: 1995
Abstrak: Pesatnya pembangunan di atas segala bidang dan semakin meningkatnya pula tingkat populasiitu di daerah ibukota ini. Pembuangan limbah-limbah ke sungai oleh industri maupun oleh rumah tangga semakin tidak terkendali.
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