Judul: Analisis Spasial dan Temporal Kasus Avian Influenza Peternakan Unggas Sektor IV di Provinsi Daerah Istimewa Yogyakarta
Abstrak: Avian influenza (AI) disease on poultry has occurred in Indonesia for 9 years (2003-2012) and potentially became a pandemic for human. DIY province was vulnerable in term of AI virus spreads, in fact it had ever became the highest AI cases on poultry in Indonesia. The objectives of this research are to located the center on AI cases, spatial correlation and AI cases pattern identification, identifying the relationship between poultry population and the number of AI cases, locate areas that become hotspot and figure out AI cases temporal pattern. Data used in this research is a secondary data from Participatory Disease Surveillance and Response (PDSR) and Dinas Peternakan dan Kesehatan Hewan Provinsi DIY for number of AI cases, GPS coordinate and poultry population of each sub-district in DIY province in 2009-2012. Mean spatial, moran scatterplot, Chi-Square test, and ARIMA are used for data analysis. Result from this research is expected to provide information regarding AI disease to the central government, regional government, and public society as an advice for deciding the prevention policy and AI cases treatment in DIY province. Areas that become the center of AI cases generally moved every year at the district or provincial level to the nearby area. Areas that become center of AI cases more than once are Bantul district. Gunung Kidul district only once became the center of AI cases. Area that became the center of AI cases needs to be aware as a source of AI disease infection. AI cases in DIY province generally in clustered pattern. Clustered pattern was occurred in 2010, 2011 and four year analysis. Random pattern found in 2009 and 2012. There was a positive or negative of spatial correlation of AI cases in DIY province. Areas that became hotspot more than once and potentially became center of AI disease spread are Pakem sub-district, Samigaluh sub-district, Kalasan sub-district, Umbulharjo sub-district, Pandak sub-district, Patuk sub-district, Sentolo sub-district, Tempel sub-district, Ngaglik sub-district, Lendah sub-district, Jetis sub-district, Sanden sub-district and Sewon sub-district. Areas that became coldspot more than once and potentially vulnerable to AI disease are Girimulyo sub-district, Lendah sub-district, Moyudan sub-district, Prambanan sub-district, Turi sub-district, Gedangsari sub-district, Purwosari sub-district, Banguntapan sub-district, Pajangan sub-district, Imogiri sub-district and Bambanglipuro sub-district Chi-Square analysis show the correlation between poultry population and number of AI cases in DIY province in 2009-2012. This mean that AI cases DIY province was affected by number of poultry population. Poultry population control can affected the AI cases. ARIMA (0,2,1) model was used to identify AI cases temporal pattern in 2009-2012. Temporal pattern shows the increasing trend of AI cases in January-March. Timing of AI cases coincided with the rainy season.
Keyword: avian influenza, hotspot, spatial analysis, temporal analysis

Judul: Kejadian Kasus Avian Influenza (AI) pada Peternakan Ayam Petelur di Kabupaten Pinrang Provinsi Sulawesi Selatan Tahun 2016-2018
Abstrak: Avian Influenza (AI) adalah penyakit menular pada ayam dengan angka kematian yang tinggi. AI disebabkan oleh virus Avian Influenza type A dari famili Orthomyxoviridae. Kerugian AI dapat berupa kematian ayam dan penurunan produksi telur. Penelitian ini bertujuan menganalisis data kasus, mengukur kecepatan penyebaran penyakit, menggambarkan distribusi penyakit, dan memetakan wilayah yang berisiko terhadap penyebaran AI. Data penelitian diperoleh dari rekapan data Dinas Peternakan dan Perkebunan Kabupaten Pinrang dan wawancara mendalam menggunakan kuesioner terstruktur kepada staf dinas. Data tersebut diolah dengan menghitung incidence rate dan memetakan wilayah berisiko menggunakan geographic information system (GIS). Hasil penelitian menunjukkan bahwa incidence rate tertinggi di Kecamatan Mattiro Sompe selama 3 tahun sebesar 2 015 kasus per 10 000 ekor-tahun, sedangkan incidence rate terendah selama 3 tahun adalah Kecamatan Duampanua, Lanrisang dan Mattiro Bulu dengan 0 kasus per 10 000 ekor-tahun. Pengendalian perlu ditingkatkan pada daerah berisiko dengan meningkatkan biosekuriti, depopulasi dan stamping out di daerah tertular baru, vaksinasi, surveilans, sosialisasi rutin, dan monitoring, serta menambahkan fasilitas dan sumber daya keswan terutama tenaga dokter hewan agar pengendalian lebih optimal.
Keyword: Avian Influenza (AI), incidence rate, ayam petelur, Kabupaten Pinrang

Judul: Pembuatan Film Tipis Cu2ZnSnS4 sebagai Lapisan Penyerap Cahaya pada Sel Surya Menggunakan Metode Elektrodeposisi
Abstrak: Thin film of Cu2ZnSnS4 (CZTS) is an alternative semiconductor used as light absorber layer on solar cell. CZTS can replace silicon that commonly used as commercial semiconductor. The advantage of using CZTS as absorber layer is due to the abundance of its chemical composer on earth, and its high value of absorption coefficient. The absorber layer was made by using electrodeposition method on ITO glass substrates. The films were deposited at room temperature using potentiostatic mode with a potential of –1.05 V for 30, 45, and 60 minutes. After that, the films were annealed at two different temperatures, 180 ºC and 500 °C, for 45 minutes in N2/H2S atmosphere. Based on X-ray diffraction analysis, the polycrystalline thin film obtained fall into kesterite crystal phase. This type of crystal was obtained when the CZTS was annealed at 500 °C in H2S/N2 atmosphere. The value of optical band gap energy for the CZTS thin film was 2.2 eV with the film thickness about 1.228–6.366 μm. The sample of CZTS with electrodeposition time of 45 minutes and annealing temperature of 500 °C showed the best result and in conformity with absorber layers criteria for solar cells.
Keyword: semiconductor, ITO glass, CZTS thin film, electrodeposition