Judul: Visualisasi K-Means clustering pada data potensi pertanian desa di Bogor  menggunakan MapServer
Abstrak: Badan Pusat Statistik (BPS) melakukan survei potensi desa yang menghasilkan data potensi/keadaan meliputi keadaan sosial, ekonomi, penggunaan lahan, sarana dan prasarana sampai level desa/kelurahan. Penelitian perlu dilakukan untuk menganalisis data potensi desa khususnya yang berhubungan dengan pertanian. Salah satunya dengan mengaplikasikan teknik data mining agar diperoleh suatu informasi atau pengetahuan sebagai penunjang pengambilan keputusan untuk pembangunan sektor pertanian. Penelitian ini menggunakan salah satu teknik data mining yaitu teknik clustering dengan menggunakan algoritme K-Means dan hasil clustering divisualisasikan dalam bentuk sistem informasi geografis berbasis web. Data yang digunakan dalam penelitian ini adalah data potensi desa Jawa Barat tahun 2006 khususnya daerah Bogor
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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: Toksisitas nikel [ni] terhadap ikan nila gift (Oreochromis niloticus) pada media berkesadahan lunak (soft hardnes)
Abstrak: Nickel is a member of heavy metals. It can potentially poison the blood, interfere the respiratory system, damage tissues and membranes of lenders, and change the cell system. This research aimed to determine the effect of nickel toxicity on various biochemical processes in body GIFT tilaphia such as : level of oxygen consumption, hematological system, histopathology system, level of nickel accumulation,growth rate, and on survival rate. This research was conducted in three stages: test value range, acute test, and sub-chronic test. Acute test consisted of 5 treatment concentrations (0.00, 10.67, 18.98, 33.76, and 60.05 ppm). Sub-chronic test consisted of 3 phases (0.00, 1.39, and 4.18 ppm). Lc-50 value of 96 hours was 13.93 ppm. The level of nickel accumulations in flesh on treatment with concentrations of 60.05, 33.76, 18.98, 10.67, and 00:00 ppm respectively were: 73.37, 56.08, 42.00, and 32.90 mg/kg, while at 0:00 ppm, nickel was not detected. Generally, level of oxygen consumption in chronic sub test decreased significantly. After 32 days nickel exposure, treatment with concentration 4,18 and 1,39 ppm was respectively down: 0,47 to 0,14, and 0,46 to 0,21. At 0,00 ppm, it also decreased level of oxygen consumption but it was still stable relatively, from 0,49 to 0,42. Nickel exposure for 30 days also decreased hematocrit level, hemoglobin, erythrocyte, increased number of leukocytes, reduced growth rate, and damaged gill and liver
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