Judul: Clustering of Maize Productivity Simulation Results Data using the K-Means Method (Case Study: East Java Province)
Abstrak: Permintaan pasar terhadap jagung semakin meningkat seiring dengan adanya pertumbuhan industri pangan. Pemerintah terus mengupayakan peningkatan produksi jagung dalam negeri khususnya di beberapa sentera jagung nasional melalui perluasan areal tanam dan peningkatan produktivitas. Penelitian ini bertujuan untuk membuat model klasterisasi data produktivitas tanaman jagung luaran model simulasi di Provinsi Jawa Timur menggunakan algoritme k-means. Data yang digunakan pada penelitian ini adalah data hasil simulasi produktivitas jagung di semua wilayah kabupaten/kota di Jawa Timur dari tahun 2013 sampai 2017. Tahapan yang dilakukan pada penelitian terdiri dari praproses data, pembuatan model simulasi tanaman, klasterisasi data produktivitas hasil luaran model simulasi, pengujian model, dan evaluasi hasil clustering. Hasil dari penelitian menunjukan bahwa dengan menggunakan k=3 maka terbentuk tiga segmentasi zona poduktivitas jagung (C1, C2, C3) dengan C1 sebagai kelompok wilayah dengan rata-rata produktivitas jagung tertinggi mencapai lebih dari 7 ton/ha per tahun. Faktor yang memengaruhi produktivitas adalah faktor produksi (varietas, pupuk, pestisida, luas lahan), kondisi iklim dan lingkungan. Evaluasi hasil clustering yang dianalisis menggunakan metode confusion matrix menghasilkan nilai overall accuration sebesar 0.97 yang menunjukan bahwa hasil klastersisasi produktivitas jagung menggunakan metode k-means yang didapatkan dari hasil penelitian dapat digunakan untuk keperluan estimasi wilayah potensial untuk budidaya tanaman jagung di Jawa Timur.
Keyword: clustering, confusion matrix, k-means, model simulasi, produktivitas

Judul: Sistem Informasi Geografis Berbasis Web untuk Produksi Kedelai di Indonesia Menggunakan K-Means Clustering
Abstrak: Information concerning areas that are potential for soybean production is not provided in an interactive information system that can be easily accessed by public. Nowadays, information about soybean production in all districts in Indonesia is displayed in the tabular form in the website http://aplikasi.deptan.go.id/bdsp. For that, in this study, a web-based geographic information system (GIS) was developed to manage and visualize soybean production in all districts in Indonesia. K-means clustering was performed to group data on production, productivity and harvested areas of soybean to make the coloring process become easier in GIS. The best clustering was obtained with 4 clusters and the sum square error (SSE) were 2.07, 1.53, and 0.0037 for data on production, productivity, and harvested areas of soybean, respectively. The GIS was developed using OpenGeo Suite 3.0 as the geospatial tool for managing and providing information about soybean production in Indonesia in forms of maps, tables, and graphs based on the results of k-means clustering.
Keyword: soybean production, k-means, clustering, geographic information system

Judul: Light Microscope Study of ConnectiveTissue in The Spleen of Common Rousette Bat (Rousettus amplexicaudatus)
Abstrak: The spleen is the largest lymphoid organ. As a secondary lymphoid organ, in addition to its immune function, the spleen also has functions as blood filtration, storage, and hematopoiesis. The spleen has different morphologies between species that support different physiological functions, one of which is the difference in the structure of the capsule and trabeculae. Capsule and trabeculae of the spleen generally consist of connective tissue and smooth muscle. The thickness of smooth muscle composed together with connective tissue in the capsule and trabecula determines the function of the spleen that is divided spleen into three storage, defense, and intermediate. Bats are the reservoir of various zoonotic diseases. Bats are thought to have unique immune systems compared to other mammals but the characteristics of its immune organs such as the spleen have never been studied before. This study was conducted to examine the characteristics of capsulae and trabecula of the Common Rousette (Rousettus amplexicaudatus).
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