Judul: Pruning pada Fuzzy Decision Tree dalam Klasifikasi Data Iklim dan Titik Api di Daerah Tjilik Riwut, Palangkaraya, Kalimantan Selatan
Abstrak: Forest fire is influenced by several factors, such as humidity, solar radiation intensity, regional temperature, and rainfall. This research aimed at finding the information and knowledge from hotspot and climate data, especially those four attributes. The research data was taken from Tjilik Riwut, Palangkaraya, South Kalimantan in year 2001-2004. Data mining technique used for extracting the information and knowledge is classification using decision tree method. In this research, fuzzy aproach is adapted to solve uncertainty of data. To improve the accuracy of classification process, pruning tree method is utilized. Tree that has the highest accuracy is converted to be the rule. The formed rule shows that the amount of hotspot is inversely proportional with the scale of humidity. This research also proves that pruning process in a tree can improve the accuracy of classification process.
Keyword: 

Judul: Fuzzy Association Rules Mining pada Data Klimatologi dan Jumlah Hotspot di Kalimantan Tengah dan Kalimantan Selatan
Abstrak: The occurrence of forest fires was influenced by many factors of weather and climate such as temperature, rainfall, solar radiation, humidity, air stability, speed and direction of wind. Rainfall, relative humidity and temperature were the main factors on the moisture of fuel control. Wind and solar radiation were important factors on drying fuels. It was influenced on change in fuel temperature also temperature and relative humidity in the air. This research was aimed to extract or “mine” knowledge from climatology and number of hotspots data in Central Kalimantan and South Kalimantan by 2001 until 2004. It is using Association Rules Mining method with apriori algorithm to see the relation between the number of hotspots and climatology data. Also fuzzy logic was used to solve an uncertainty and the numerical data. The result of this research was presented in the rules. The rules show relation between climatology and the number hotspots data. In rainy season (November-June) few hotspots were shown. This was influenced by mild temperature, mild solar radiation, mild air pressure, high relative humidity and low wind speed. However in dry season the occurence of forest fires was high in each year. The peak of forest fires occurred in August and September. It was influenced by mild temperatures, low rainfall, low solar radiation, mild air pressure, mild relative humidity, low and mild wind speed
Keyword: 

Judul: Hydroxyapatite-Chitosan Composite Coating on Stainless Steel 316 to Improve Corrosion Resistance
Abstrak: Metals that were used in bone implantation should have good corrosion resistance that were not easily corroded when implanted into the body. Metal corrosion resistance of stainless steel 316 can be enhanced through the metal coating by hydroxyapatite-chitosan composite with composition ratio of hydroxyapatite (gram) and chitosan 3% (mL) 0.2:0, 0.2:0.1, 0.2:0.5, 0.2:1.0, and 0.2:1.5. Besides improving the corrosion resistance of metal, the presence of chitosan also maintain the position of hydroxyapatite on metal surfaces. Corrosion resistance increases with increasing amount of chitosan added and the best composition of hydroxyapatite-chitosan composite was 0.2:1.0.
Keyword: