Judul: Penentuan Aturan Asosiasi Spasial Pada Objek Spasial Di Kota Bogor
Abstrak: Spatial data mining dapat mengekstrak pengetahuan yang menarik dari data spasial yang belum diketahui sebelumnya dan juga bermanfaat. Penelitian ini menggunakan metode spatial association rule untuk menghasilkan sebuah sistem terhadap data objek spasial di Kota Bogor, yaitu data landuse, terminal bis, stasiun, jalan, rel, dan sungai di Kota Bogor. Operasi spasial yang ada antara lain contains, intersects, is disjoint, overlaps, equals, touches, dan within. Algoritme yang digunakan pada penelitian ini adalah algoritme apriori. Aturan yang digunakan adalah yang memiliki nilai support dan confidence di atas ambang batas. Minimum support yang digunakan adalah yang bernilai lebih dari 20% dan minimum confidence bernilai lebih dari 50%. Hasilnya adalah objek yang disjoint dengan terminal, stasiun, rel, brige main road, main road, national highway, overpass highway, tol road, commercial and bussines, forestry, industry and warehouse, planned house, serta berpotongan dan bersentuhan dengan agriculture and open space, disjoint, maka objek tersebut adalah low density urban kampung. Objek yang disjoint dengan terminal, stasiun, rel, bridge main road, main road, overpass highway, tol road, commercial and bussines, forestry, industry and warehouse, dan berpotongan dan bersentuhan dengan low density urban kampung, maka objek tersebut adalah agriculture and open space.
Keyword: aturan asosiasi spasial, spatial data mining

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: Thermal Characteristics and Dynamics of Tropical Cyclone over Western North Pacific Ocean: A Case Study of Typhoon Songda (Chedeng) 2011
Abstrak: The frequent occasion of Tropical Cyclone (TC) over Western North Pacific (WNP) Ocean lies from 10˚N to 26˚N and 121˚E to 170˚E. Sources of TC development come from warm ocean temperature where latent heat is released during condensation processes and subsequently concentrated in the boundary layer. Relative humidity at 850-700 hPa is responsible to produce the most intense storm. Meanwhile, weak vertical wind shear between 850-200 hPa is one of the dynamical factors that lead to the development of TC. Pressure level of 850-200 hPa is chosen to minimize the thermodynamic effect in the lower troposphere. Typhoon Songda (Chedeng in the Philippines) or TSC lasted from May 18th to 30th, 2011 and strengthened into powerful Super Typhoon stage between May 24th and 27th. Long curving track and the exhibition of all sequences of TC life cycle, TSC is then considered as an ideal case of TC. The objective of the study with case of TSC is to investigate the role of thermal characteristics and dynamics on TC intensity. The research is carried out by using Advanced Research of Weather Research and Forecasting model (WRF ARW model) version 3.3. Two domains are employed in the model. The first domain situate from 02˚N to 40˚N and 118˚E to 149˚E and cover spatial resolution () of 33.1 km. The second domain situate from 09˚N to 27˚N and 119˚E to 132˚E with of 11 km. Timestep of the model () is 120 seconds. The model is supported by the following physical parameterization, i.e., Yonsei University Scheme (YSU) in the boundary layer, Kain-Fritsch scheme (KF) in the cumulus, and WRF Single-Moment 3-class scheme in the microphysics. Initial meteorological condition prior to the formation of the cyclone is generated using WRF ARW standard-release model. Sensitivity of the model output is obtained from a selected single-parameter change scenarios, namely, 10 % to 20 % decrease and increase of wind shear initial data at 850-200 hPa, and by 10 % to 20 % decrease of relative humidity initial data at 850-700 hPa. The result showed that the negative correlations between wind shear and intensity are found in wind shear scenarios. Wind shears of 10 ms-1 which lead to strengthening of the wind intensity in the early period of Typhoon development are found in wind shear scenarios. The effect of wind shear changes on wind intensity is statistically significant in the 20 % wind shear scenarios. During mature stage, weak wind intensity occurred when wind shear increase as given in the WRF standard-release and the 20 % decreasing scenario. Different situation is found in the 20 % increasing scenario where wind shear tend to weak and lead to strong wind intensity at this stage. Meanwhile, the reduction of moisture supply at 850-700 hPa resulting from 20 % decreasing relative humidity play a major role in the weakening of wind intensity and reduces mechanical energy of the cycle process as much as 300 J kg-1.
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