Judul: Application of Spatial Decision Tree in Identifiying Mangrove Area Using C4.5 Algorithm.
Abstrak: Mangrove forests have a lot of benefits for life, such as beach abration protector, building material and fuel, as well as meal supplier for plankton. Therefore, mangrove forest should be protected and developed. Mangrove forests are located along tropical and subtropical beach that are influenced by tide water. East Kalimantan is one of provinces in Kalimantan that has potential coast teritory for mangrove’s growth. In one region there are some districts which have larger mangrove potency than neighbor districts. For that, it is required a spatial analysis for mangrove area identification in order to be able to know description of potential region for mangrove’s growth. One of techniques in extracting knowledge in spatial database is spatial data mining.This research uses a spatial data mining method, especially spatial decision tree using C4.5 algorithm to develop a classifier to predict new data of mangrove area. This research applies the Spatial Join Index (SJI) and the complete operator to apply conventional classification technique in spatial database. The SJI is created using topological relation to find relation between two spatial objects, then the result is simplified using complete operator. The result of this research shows that classes of mangrove area are described by some attributes : slope, topography, substrat, and landuse. The classifier contains 23 rules with 60,66% accuracy. Keywords: spatial decision tree, C4.5 algorithm, spatial join index, complete operator
Keyword: 

Judul: Developing Spatial Decision Tree using NBTree Algorithm for Hotspot Distribution in Riau.
Abstrak: One of environment problems that emerged almost every year in Indonesia is forest fire in many regions including Riau. Forest fires cause negative impacts to the environment, such as transboundary haze pollution, health and life problem, and material damages. This phenomenon effects not only on community in Riau but also in neighbor coutries such as Singapore and Malay. Hotspot distribution is important for preventing occurrence of forest and land fire. Hotspot distribution data can be analyzed using spatial data mining techniques. One of techniques in spatial data mining is spatial decision tree. Spatial decision tree will build classifier from spatial data that can be used to create classification rules. This research aimed to develop classifier to predict the amount of hotspot in a territory according to several thematic layers: industrial timber plantation, logging concession, and land use. This research uses spatial join index and complete operator to provide a spatial dataset in which the conventional spatial decision tree algorithm can be applied to the data set. Then, NBTree algorithm will be used to develop a spatial decision tree. The result of this research is a classifier that contains 17 classification rules with accuracy 68,35%. Keywords: spatial decision tree, spatial join index, complete operator, NBTree algorithm
Keyword: 

Judul: The effect on niacin supplementation on production and egg cholesterol of hysex brown laying hens
Abstrak: Telur merupakan salah satu bahan makanan asal ternak unggas yang kaya akan gizi, seperti karbohidrat, protein, lemak, vitamin dan mineral, disamping harganya murah, sehingga disebut wonderful food. Oleh karena itu, tidak mengherankan konsumsi telur di Indonesia cukup tinggi dibandingkan dengan bahan makanan sumber protein hewani lain. Disisi lain, adanya persepsi, bahwa sebutir telur mengandung kolesterol relatif cukup tinggi, yaitu 200 - 250 mg atau 1280 mg per 100 g kuning telur (yolk).
Keyword: