Judul: Analisis Regresi Logistik Spasial untuk Menduga Status Kemiskinan Desa di Kabupaten Majalengka
Abstrak: Rural poverty status is influenced by several factors that are correlated between one rural area and the other. Logistic regression modeling with spatial weights is needed to determine the factors that affect rural poverty hotspots that are spatially correlated. Categorization of rural areas into hotspot (1) and non hotspot (0) was based on a hotspot Upper Level Set (ULS) Scan Statistic method which obtained 187 hotspot rural areas and 149 rural non hotspot. Rural hotspot areas have characteristics similar to non rural hotspot areas in various aspects. Logistic regression models with Spatial variable enhances logistic regression model without Spatial variable in predicting the status of rural poverty areas in Majalengka. Logistic regression models with Spatial variable has a higher correct classification rate (CCR) compared to logistic regression without Spatial variable. The explanatory variables that have a significant influence towards the status of rural poverty are Percentage of Farm Worker Families variable and Spatial variable.
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Judul: Eksplorasi Sisaan pada Spasial Status Kemiskinan Desa di Jawa Barat
Abstrak: Model regresi logistik spasial merupakan model regresi logistik dengan memasukkan pengaruh spasial. Harapannya sisaan yang didapat dari model tersebut mengikuti kaidah yang berlaku. Diagnostik sisaan dilakukan secara eksplorasi maupun pengujian terhadap sisaan. Uji autokorelasi spasial yang digunakan adalah indeks moran dan koefisien geary, sedangkan eksplorasi dilakukan dengan menggunakan autocorrelogram. Hasil dari pengujian autokorelasi adalah sisaan tersebut tidak ada autokorelasi spasial. Nilai koefisien autokorelasi yang mendekati nilai 0, dan bentuk autocorrelogram menunjukkan pola menurun secara eksponensial. Pemodelan status kemiskinan desa di Jawa Barat menggunakan regresi logistik spasial dengan pendekatan matriks contiguity, dan model variogram spherical serta power sudah mampu mengakomodir keragaman spasialnya.
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Judul: Synthesis of Apatite - Chitosan Composite Using Duck Eggshell and Chitosan with Temperature and pH Control
Abstrak: Composite of apatite-chitosan was prepared by using chitosan as polymer matrix. Calcium phosphate was prepared from CaO and (NH4)2HPO4, which the ratio Ca : P had to be 1.67. Chitosan is produced by deacetilase from biopolymer chitin. Duck eggshell (95% CaCO3) as starting material was converted to be calcium oxide (CaO) through calcinations with temperature 1000oC for 5 hours. In-situ and ex-situ methods were prepared from apatite and chitosan (dissolved with acetate acid 2%). Calcium phosphate prepared for bone implantation, but it is too fragile and brittle to be implant into the body. So addition of chitosan can decrease crystalinity and increase mechanic characteristic (tougher). Composite apatite-chitosan was resulted by fast precipitation. Fast precipitation was held in a breaker glass with nitrogen atmosphere, under controlled temperature at 37oC and pH 7, in order to increase amount of hydroxyapatite. Precipitation with CaO which was dropped by (NH4)2HPO4. Hydroxyapatite and chitosan were appearing at samples with in-situ and ex-situ methods which indicating by peak matching of XRD (closed lattice parameter, crystal size), overlapping at FTIR spectra and supporting by SEM picture (homogenous and agglomerated particle). However, it still needs further research to examine biocompatibility osteoconductive degree of sample by in-vivo and in-vitro test.
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