Judul: Pengembangan model monsun indonesia berbasis hasil analisis data indeks monsun regional
Abstrak: Monsoon is one of regional phenomenon that affects weather and climate in Indonesia. This is caused by the territory of Indonesia which is located in equatorial zone and between Asia in the north and Australia in the south. Due to the location, there are two monsoons named Asia which causes wet season (December-January-February) and Australia which causes dry season (June-July-August). Until this time, Indonesia doesn’t have monsoon index which is needed by BMKG (Meteorology, Climatology and Geophysics Agency). Regional monsoon index (RMI) data must be calibrated with data from Indonesia, EAR (Equatorial Atmosphere Radar) to examine the relation of EAR with IMR data. Selected time-series of IMR data is used to develop monsoon model. The method that used is monsoon analysis and spectral analysis with Matlab and cross correlation analysis and the Box-Jenkins method, ARIMA with SPSS 16.0. The results of the analysis show that AUSMI (Australian Monsoon Index) at 200 mb layer which oscillate around 12 months has high correlation with EAR data 0.781. The appropriate model to show the monsoon model is ARIMA (1,1,1). AUSMI period t is decided by one and two months latest data (Zt-1) and (Zt-2) and a month error latest data (at-1) with equation Zt = 1.047 Zt-1-.047Zt-2 + 0.093at-1. The validation results obtained using model with actual data IMR February 2004-December 2008 give average error 2.3906 and correlation 0.7139.
Keyword: Monsoon, EAR, Regional monsoon index data, Box-Jenkins(ARIMA), Bogor Agricultural University, Institut Pertanian Bogor, IPB

Judul: Pengembangan Model Indeks Monsun (Monsoon) Indonesia (IMI) Berbasis Hasil Analisis Data WPR (Wind Profile Radar)
Abstrak: There are three regions as a heat source to drive a circulation in the equatorial namely South America, Africa, and Indonesian. Indonesian in a geographyc is a unique country. Because in the cross two continental (Asia continental and Australian continental) and two ocean (Hindian ocean and Pacific ocean). Until Indonesian climate is dominated by Monsoon to have one year of cycle. Development of model in one of purpose to easier in predicted climate in the future is seldom done. So throught the research are model can be used Monsoon prediction especially in Indonesia. This research to used a WPR in three city, Pontianak, Manado, and Biak with supporting data is global climate that ISMI (Indian Summer Monsoon Index), WNPMI (Western North Pacific Monsoon Index), and AUSMI (Australian Monsoon Index). The results of this research are the linkage between the WPR with global climate data, so AUSMI data to selected which oscillate around 12 months. The powerfull of correlation in the fist period (November 1, 2007 – January 30, 2008) is AUSMI in Pontianak and Biak with the correltion 0.486 and 0.599. whereas second period (Desember 7, 2008 – March 7, 2009) AUSMI dominant in Pontianak with correlation value 0.21 and ISMI dominant in Biak with correlation value 0.419. Furthermore with bifilar linier regression analysis to made model for the period with model like U (850) = a (ISMI) + b (WNPMI) + c (AUSMI) + error.
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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.
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