Judul: Spatial scan statistic for aids hotspots detection at regencies and municipalities in Java
Abstrak: Scan statistic is a statistical method with many potential applications. It is designed to detect a local excess of events and to test if such an excess can reasonably have occurred by chance. It can be applied on wide area of interest, such as on disease clustering. In this research spatial scan statistic was applied important to detect the locations of the significant hotspot clusters of severe and dangerous disease, AIDS. This research applied the probability distribution generating events of poisson under the null hypothesis, supported by likelihood ratio test analysis to get the statistic test value and a Monte Carlo simulation to obtain the significant hotspot cluster from calculation of those statistic test values in computational process algorithm. Analysis with 19 percents of the population at risk of maximum spatial cluster size and the cilcular spatial window shape, spatial scan statistic presented the significant hotspot clusters of AIDS cases in Java. The places considered as hotspot are the municipalities of Center Jakarta and North Jakarta, Bandung, Malang, Surahaya, Semarang, Yogyakarta, and Salatiga. Based on the fact, government has to provide AIDS eradication and surveillance program in the hotspot area while the program of prevention must be implemented in the surrounding area (non hotspot area).
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Judul: The application of flexible scan statistics in detecting poverty hotspots in Java Island
Abstrak: Poverty hotspot detection is one of the study to know the set of area which has a high number of poverty. Previous study using Circular Spatial Scan Statistics found a problem which is low power to reject null hypothesis since it use circle window as the basis of scan. Flexible scan statistics provide better aproach by using a set of connected regions as window scan. Java Islands is the highest in number of people, with almost 60% of Indonesia people living in Java. By Using SUSENAS 2005 data, we conducted study about poverty hotspot detection using flexible scan statistics in FlexScan 3.05 as the alternatives to handle arbitrary shape of cluster and low power of test in circular spatial scan statistics. The result of the study has showed that flexible scan statistics showed good performance in detecting poverty hotspot, either first, second or third priority area. The average of reliabilty score is 91.15%. Among seven maximum cluster size used in this study, maximum cluster size 10% showed lowest average reliability and the highest average of reliability was shown when maximum cluster size were 20% and 30%.
Keyword: Poverty hotspots, Flexible scan statistics, Java Island

Judul: Pelumas Aktif Dengan Bahan Dasar Minyak Ikan Dan Aditif Znochitosan Particle.
Abstrak: Pelumas memiliki peranan penting dalam meminimalkan fungsi keausan pada sistem mekanik. Synthetic liquids, minyak nabati (biolubricant) serta berbagai aditif telah banyak digunakan. Karakteristik minyak ikan dan sifat fungsional chitosan yang dapat berperan sebagai aditif, merupakan peluang dalam pengembangan pelumas baru yang ramah lingkungan. Tujuan penelitian adalah melakukan pembuatan dan karakterisasi pelumas aktif dengan bahan dasar minyak ikan dan aditif partikel ZnO-chitosan. Minyak dasar pelumas dibuat melalui reaksi epoksidasi minyak ikan dengan karakteristik bilangan oksiran (4,74±0,09) %, bilangan iod (49,91±1,9) gI2/100g, bilangan peroksida (59,33±3,05) meq/kg, dan asam lemak bebas (11,07± 0,10) %. Kombinasi aditif ZnO 0,5% dengan partikel chitosan 0,5% memberikan pengaruh terhadap pelumas minyak ikan dengan karakteristik terbaik, berupa scar diameter (1,16±0,04) mm, viskositas kinematik pada suhu 40°C (66,50±0,35) mm2/s dan korosi bilah tembaga grade 1A.
Keyword: Chitosan, minyak ikan, pelumas, ZnO