Judul: Spatial Outlier Detection Berdasarkan Poligon Desa Pada Data Pemilihan Walikota Bogor
Abstrak: Spatial outlier detection is a technique which is used in spatial data mining for detecting outlier based on spatial dimension. This research is used for examining some outlier data by using PILWALKOT (The Mayor Election) of Bogor in 2008. Outlier is a research that diverges from other research and it is caused a suspicion that comes from the distribution of difference data in the research. A county called outlier if it is include into outlier list in Naïve Algorithm. Naïve Algorithm is an algorithm which is used for detecting spatial order in Bogor county data which is based on special functions. This research also compares the result into 3 methods, by using statistic Z-Value approach, division class with Equal Interval and Natural Breaks classification method and Naïve algorithm. Naïve algorithm shows the result which is got by using Z-Value and classification method shows some equal result. By using Z-Value approach, the result which is got for the first (1st), second (2nd), and fourth (4th) candidate and it is used in three outlier regions while the third (3rd) and fifth (5th) is used in four outlier regions. In the division class using classification method, there is a presumption that Equal Interval method is better than it. It also happens in some results which are using Naïve algorithm where is had some equal results with two previous methods.
Keyword: 

Judul: Klasifikasi Spasial untuk Objek Spasial di Kota Bogor
Abstrak: Various spatial objects in Bogor City have caused a significant increase of spatial data in Bogor City. These spatial data needs to be processed and analyzed using spatial data mining technique, which is able to extract the knowledge or patterns in the spatial database. This research extracts the patterns of terminals, stations, railroads, rivers, roads, and landuse characteristics using one of the spatial data mining techniques, namely spatial classification. In this research, the spatial relations between an object and its surrounding is determined using topological relations, with spatial operations such as contains, overlaps, equals, disjoint, intersects, within, crosses, and touches. The result of spatial classification accuracy using C4.5 algorithm is 72.117%. From this spatial classification result, the characteristics of spatial objects in Bogor City can be identified based on spatial operations.
Keyword: spatial data mining, spatial classification, C4.5 algorithm

Judul: Essential Fatty Acid Requirements of Catfish (Clarias batrachus Linn.) for Broodstock Development
Abstrak: This experiment was conducted to determine essential fatty acid requirements of catfish (Clarias batrachus Linn.) for broodstock development. The basic diet supplied to the test fish had protein and fat content 46.51 - 48.29% and 5.8 - 5.96% respectively. The five test diets differed in the essential fatty acid (EFA) level. Diet A contained 0.21% (36-fatty acid and 0.03% S3-fatty acid; diet B 0.67% d6-fatty acid and 2.09%&3-fatty acid; diet C 2.24KU6-fatty acid and 0.07%&3-fatty acid; diet 0 1.85%(;36-fatty acid and 0.56% a3-fatty acid; diet E 0.26% a6 fatty acid and 1.68% d3-fatty acid. Most of US-fatty acid in diet B and D were 1$:3 (33, on the other hand those in diet E were 20:s c33 and 22:6 W3.
Keyword: