Judul: Klasifikasi Data Spasial untuk Kemunculan Hotspot di Provinsi Riau Menggunakan Algoritme ID3
Abstrak: Forest fire is one of the environmental issues that occurs almost every year in Indonesia including in Riau Province, which causes negative impacts for human life. The large data of hotspot distribution can be analyzed using one of spatial data mining techniques, namely spatial decision tree. The purpose of this research is to classify the hotspot occurences in Riau province in order to obtain the classification rules. In this research, the spatial decision tree is developed using ID3 algorithm. The result shows that the highest accuracy is 70.80%. The classification model consists 125 classification rules that can be used to predict the hotspot occurrences.
Keyword: spatial decision tree, hotspots, classification, ID3 Algorithm

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
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Judul: Quail Blood Cholesterol Levels (Coturnix coturnix Japonica) On Starters, Growers and Layers phase
Abstrak: Cholesterol is one of fat formation components which is also the main sterol in animal tissues. Therefore its presence are contributing to development and growth of the body. This study aimed to determine blood cholesterol levels and body weight of quail in the starter,grower and layer phases, which were taken at the age of 18 days, 25 days and 330 days. The quail (Coturnix coturnix Japonica) used were ten tails of the starter phase, grower phase and layer phase. Blood cholesterol levels were measured using a NESCO MultiCheck 3 in 1 tool and body weight was calculated using a digital scale. Cholesterol levels decreased from the starter (158,40 mg/dL) phase to the grower phase (123,00 mg/dL) and increased again in the layer phase (219,6 mg/dL). The highest blood cholesterol value was obtained in the layer phase. The body weight over time continued to experience an increase and the increase in body weight from the starter to the layer phase was not followed by an increase in cholesterol levels. Cholesterol levels are used according to their physiological needs, Kolesterol merupakan salah satu komponen pembentuk lemak yang juga merupakan sterol utama dalam jaringan hewan, oleh karena itu kehadirannya memberikan kontribusi untuk perkembangan dan pertumbuhan tubuh. Penelitian ini bertujuan untuk mengetahui kadar kolesterol darah dan bobot badan burung puyuh pada fase starter, grower dan layer, yang diambil pada umur 18 hari, 25 hari dan 330 hari. Burung puyuh (Coturnix coturnix Japonica) yang digunakan sebanyak sepuluh ekor pada masing-masing fase starter, fase grower dan fase layer. Kadar kolesterol darah diukur menggunakan alat NESCO MultiCheck 3 in 1 dan berat badan dihitung menggunakan timbangan digital. Kadar kolesterol menurun dari fase starter (158,40 mg/dL) ke fase grower(123,00 mg/dL) dan meningkat lagi pada fase layer(219,6 mg/dL). Nilai kolesterol darah tertinggi diperoleh pada fase layer. Bobot badan dari waktu ke waktu terus mengalami peningkatan yang dan peningkatan bobot badan dari fase starter ke fase layer tidak diikuti dengan peningkatan kadar kolesterol yang artinya bobot badan tidak berpengaruh pada kadar kolesterol burung puyuh. Kadar kolesterol digunakan sesuai dengan kebutuhan fisiologisnya
Keyword: blood cholesterol, maintenance phase, quail