Judul: Analisis pola spasial kemiskinan, pembangunan manusia/sosial, dan aktivitas ekonomi, serta keterkaitannya di Provinsi Kalimantan Barat
Abstrak: This research uses the secondary data set of 175 sub-districts of disricts in West Kalimantan Province to know the spatial patterns of poverty, human/social development and economic activities and to analyze their linkages. The Principal Component Analysis (PCA), Cluster and Discriminant Analysis are used to obtain the characteristic of poverty, human/social development, and economic activities, and input the result to GIS operation system (ArcGIS 9.3) to show the spatial patterns. The results of PCA used to analyze the linkage of poverty, human/social development and economic activities by weighted multiple regression to formulate the Spatial Durbin Model. The study found that the pockets of poverty located in mainly areas and few in border areas. Most of areas have found low human/social development and economic activities, especially in the centre areas. The parameters of region itself could decline the poverty are the maize production and the number of leather home industries. The parameters of related region affected are number of poor people (the pre-prosperous and first prosperous families), number of teachers of primary up to senior high school, number of pre-school, senior high school and university, and the maize, rubber and oil palm productions.
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Judul: Pemodelan Kemiskinan Kabupaten/Kota di Kalimantan Timur Menggunakan Geographically Weighted Panel Regression dan Data Envelopment Analysis
Abstrak: Tujuan pembangunan berkelanjutan yang disepakati oleh seluruh negara, masih sulit dicapai oleh Indonesia. Pada tahun 2021, Indonesia menempati peringkat 82 dari 163 negara dalam ketercapaian tujuan tersebut. Salah satu tujuan yang masih sulit dicapai adalah tidak ada kemiskinan. Kalimantan Timur merupakan provinsi yang krusial untuk dianalisis karena merupakan calon ibu kota negara IKN Nusantara. Oleh karena itu, penelitian ini disusun bertujuan untuk menganalisis faktor-faktor yang memengaruhi persentase kemiskinan di Kalimantan Timur, dan mengidentifikasi efisiensi pengentasan kemiskinan Kabupaten/Kota di Kalimantan Timur. Data yang digunakan merupakan data indikator-indikator kemiskinan pada tahun 2019-2021 yang bersumber dari Badan Pusat Statistik. Metode yang digunakan dalam penelitian ini adalah Geographically Weighted Panel Regression (GWPR) dan Data Envelopment Analysis (DEA). Pada analisis GWPR, penelitian ini membandingkan beberapa kernel yaitu fixed gaussian, fixed bisquare, fixed exponential, adaptive gaussian, adaptive bisquare, dan adaptive exponential. Hasil penelitian ini menunjukkan bahwa berdasarkan GWPR, kernel fixed exponential menghasilkan adjusted R2 tertinggi sebesar 0,971 dan AIC terendah yaitu 31,91. Sedangkan peubah-peubah yang berpengaruh terhadap kemiskinan di Kalimantan Timur adalah pengeluaran perkapita, umur harapan hidup, dan jumlah desa yang memiliki fasilitas perguruan tinggi. Berdasarkan hasil DEA, terdapat tiga kabupaten/kota di Kalimantan Timur yang efisien dalam menangani kemiskinan yaitu Mahakam Hulu, Paser, dan Penajam Paser Utara., The sustainable development goals that agreed by all countries still need to be improved for Indonesia to achieve. Indonesia was ranked 82 out of 163 countries when achieving this goal. One goal that still needs to be achieved is the first goal of no poverty. One of the crucial provinces to be analyzed about poverty is East Kalimantan. East Kalimantan Province is planned to become the province where the national capital city Nusantara is located. Therefore, the purpose of this study is to analyze the factors that influence the percentage of poverty in East Kalimantan and identify the efficiency of poverty alleviation in the regencies/cities in East Kalimantan. This study used poverty indicator data from 2019-2021 sourced from Statistics Indonesia. The methods used in this research were Geographically Weighted Panel Regression (GWPR) and Data Envelopment Analysis (DEA). In GWPR, this study compared several kernels, including fixed gaussian, fixed bisquare, fixed exponential, adaptive gaussian, adaptive bisquare, and adaptive exponential. The results of this study indicated that at GWPR, the kernel with the lowest AIC and the highest adjusted R2 was fixed exponential. The variables that influenced poverty in East Kalimantan were the expenditure per capita, life expectancy, and the number of villages that have higher education facilities. In addition, based on DEA, there were only three cities that efficiently dealing with poverty, namely Mahakam Hulu, Paser, and Penajam Paser Utara.
Keyword: data envelopment analysis, data panel, geographically weighted panel regression, kemiskinan, spasial

Judul: Trichomonas Gallinae Penyebab Trichomonosis Pada Unggas
Abstrak: Trichomonas gallinae adalah protozoa yang bergerak aktof dengan keempat flagella yang mempunyai layar dan pada salah satu sisinya terdapat membran seperti sirip ikan yang berombak. Spesies dari genus Trichomonas ini mempunyai arti penting pada unggas, karena dapat menyebabkan infeksi pada alat pencernaan bagian atas.
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