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: Synthesis of Apatite - Chitosan Composite Using Duck Eggshell and Chitosan with Temperature and pH Control
Abstrak: Composite of apatite-chitosan was prepared by using chitosan as polymer matrix. Calcium phosphate was prepared from CaO and (NH4)2HPO4, which the ratio Ca : P had to be 1.67. Chitosan is produced by deacetilase from biopolymer chitin. Duck eggshell (95% CaCO3) as starting material was converted to be calcium oxide (CaO) through calcinations with temperature 1000oC for 5 hours. In-situ and ex-situ methods were prepared from apatite and chitosan (dissolved with acetate acid 2%). Calcium phosphate prepared for bone implantation, but it is too fragile and brittle to be implant into the body. So addition of chitosan can decrease crystalinity and increase mechanic characteristic (tougher). Composite apatite-chitosan was resulted by fast precipitation. Fast precipitation was held in a breaker glass with nitrogen atmosphere, under controlled temperature at 37oC and pH 7, in order to increase amount of hydroxyapatite. Precipitation with CaO which was dropped by (NH4)2HPO4. Hydroxyapatite and chitosan were appearing at samples with in-situ and ex-situ methods which indicating by peak matching of XRD (closed lattice parameter, crystal size), overlapping at FTIR spectra and supporting by SEM picture (homogenous and agglomerated particle). However, it still needs further research to examine biocompatibility osteoconductive degree of sample by in-vivo and in-vitro test.
Keyword: