Judul: Poverty Distribution Analysis and The Factors Causing Poverty in Lebak Regency
Abstrak: The problem of this study comes from the current issues related to the poverty, unemployment, inadequate quality of public services and the gap between regions due to the implementation of decentralization and regional autonomy. Structural imbalance is one of the major factors which influence the gap between the province and the new districts due to the economic activity which rely on specific areas such as the primary sector and the traditional agriculture; the effect of resource limitations on the rates of unemployment and poverty; the impact of minimum access to health facilities and education on human development index; the impact of insufficient infrastructure due to insufficient budgetary allocation on the quality of infrastructure. Some important efforts are undertaken to raise the economic growth rate which in turn to improve the welfare and the economy. The study aims to ( 1) analyze the pattern of spatial distribution of poverty in Lebak, (2) analyze the causes of poverty in Lebak, and (3) analyze the local government policies for poverty alleviation. Spatial Autocorrelation (Moran and Geary Indexs), descriptive of visualspatial analysis, spatial regression, and descriptive analysis are undertaken. The results shows that the population poverty distribution and the poverty density tend to form clustered patterns (poverty pockets); and the poverty in village, number of productive couples, distance to population concentrations, number of farmers, distance to vocational education facilities, distance to the market, distance to the industry areas as well as the distance to the areas of concentration and topography. Based from the visual spatial analysis, that shows the government program to decreased of the pockets of poverty to the local communities not to through the regional policies, with the priority of the government policy are the second ones (J3 K3, J3 K4, J4 K3). While for the population poverty distribution and the poverty density has been to priority of the government in Lebak Regency.
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Judul: The Spatial Pattern of Poverty in Brebes Regency and Its Allevation Strategy
Abstrak: Salah satu program Nawacita dalam mewujudkan pembangunan nasional adalah membangun Indonesia dari pinggiran. Dalam pencapaian tujuan tersebut, pemerintah masih menghadapi berbagai kondisi yang tidak ideal, salah satunya adalah kemiskinan yang relatif tinggi di daerah perdesaan. Salah satu instrumen yang digunakan pemerintah dalam mewujudkan Nawacita ini adalah disahkannya Undang-Undang (UU) Nomor 6 Tahun 2014 tentang Desa dan Peraturan Pemerintah Nomor 60 Tahun 2014 tentang Dana Desa Yang Bersumber Dari APBN. Permasalahan kemiskinan perdesaan juga ditemukan di Kabupaten Brebes. Wilayah dengan luas 1.769,62 km 2 yang terdiri dari beragam karakter spasial mulai dari dataran rendah hingga pegunungan ini didominasi oleh wilayah perdesaan dengan persentase penduduk miskin tertinggi ketiga di Jawa Tengah. Dalam upaya penanggulangan kemiskinan diperlukan solusi yang lebih spesifik sesuai karakter suatu wilayah. Sehingga penanganan kemiskinan dapat berjalan secara efektif. Tujuan dari penelitian ini adalah untuk mengetahui sebaran dan pola spasial kemiskinan di Kabupaten Brebes dengan menggunakan analisis Autokorelasi Spasial (Moran’s Global Index & Local Indicator of Spatial Autocorrelation/LISA), untuk mengetahui pengaruh dana desa dan UMKM terhadap kemiskinan di Kabupaten Brebes dilihat dari aspek spasial menggunakan analisis Geographycally Weighted Regression serta memberikan alternatif kebijakan untuk pengentasannya. Hasil penelitian menunjukkan adanya sebaran dan pola spasial kemiskinan di Kabupaten Brebes yang bersifat mengelompok (clustered). Pola ini menunjukkan bahwa desa yang berdekatan memiliki karakteristik yang relatif sama. Selanjutnya berdasarkan Uji LISA didapatkan 40 desa yang masuk dalam klaster high-high atau desa dengan tingkat kemiskinan tinggi dikelilingi dengan desa dengan kemiskinan tinggi juga. Empat puluh desa yang terbagi menjadi dua klaster yakni klaster wilayah Salem dan klaster wilayah Bumiayu ini merupakan kantung kemiskinan di Kabupaten Brebes. Sedangkan hasil analisis GWR menunjukkan masing-masing jenis belanja dana desa memiliki pengaruh yang beragam dalam menurunkan kemiskinan di Kabupaten Brebes sesuai spesifik lokasi. Adapun alternatif kebijakan untuk menurunkan kemiskinan di Kabupaten Brebes di prioritaskan pada 40 desa yang menjadi kantung kemiskinan di klaster wilayah Salem dan klaster wilayah Bumiayu-Paguyangan. Selain itu juga dilakukan usulan kesesuaian karakteristik spasial hasil GWR sebagai dasar formulasi pengalokasian bantuan dana desa di Kabupaten Brebes. Kata Kunci: Kemiskinan, Dana Desa, Analisis Spasial dan GWR, One of the Nawacita programs in realizing national development is to develop Indonesia from the periphery. In achieving this goal, the government faces various conditions that are not ideal, namely high poverty in rural areas. One of the instruments used by the government in realizing this nawacita is Law Number 6 of 2014 concerning Villages and Government Regulation Number 60 of 2014 concerning Village Funds Sourced from the APBN. The problem of poverty also occurs in Brebes Regency, which ranks third in the top in Central Java. The purpose of this study was to determine the distribution and spatial pattern of poverty in Brebes District using Spatial Autocorrelation analysis and to determine the effect of village funds and SME on poverty in Brebes Regency and its management solutions from a spatial perspective. The results of the study show that there is a spatial distribution and pattern of poverty in Brebes Regency are clustered. This pattern indicates that adjacent villages have relatively similar characteristics. Furthermore, based on the LISA test, it was found that
Keyword: Kemiskinan, Dana Desa, Analisis Spasial

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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