Rice (Oryza Sativa) is the main food for Indonesian people, thus maintaining the stability of rice production in Indonesia becomes an important issue for further study. A strategy to overcome the issue is to apply precision agriculture (PA) using remote sensing images as a reference due to its effectiveness. The initial stage of PA is suitability analysis of rice varieties, including INPARA, INPARI, and INPAGO. While the representative features that can be extracted from remote sensing images and related to agriculture field are NDVI, NDWI, NDSI, and BI. Therefore, the aim of this study is to identify the best model for analyzing the most suitable superior rice varieties using Learning Vector Quantization. The results show that the best LVQ model is obtained at learning rate value of 0.001, epsilon value of 0.1, and the features combination of NDWI and BI values (in standard deviation). The architecture generates accuracy value of 56%.

Karang Taruna merupakan wadah pengembangan generasi muda nonpartisan, yang tumbuh atas dasar kesadaran dan rasa tanggung jawab social dari, oleh dan untuk masyarakat khususnya generasi muda di Karang Taruna / Ikatan Remaja Masjid Rt.005 Rw.004 kel. Serua, Kec. Ciputat Kota Tangerang Selatan Banten. Sebagai organisasi social kepemudaan Karang Taruna / Organisasi Masjid  merupakan wadah pembinaan dan pengembangan serta pemberdayaan dalam upaya mengembangkan kegiatan ekonomi produktif dengan pendayagunaan semua potensi yang tersedia di lingkungan sumber daya manusia.Kata Kunci: Pengorganisasian Karang Taruna is a forum for the development of non-partisan young generations, who grow on the basis of awareness and a sense of social responsibility from, by and for the community, especially the young generation in the Youth Organization of the Youth Organization of the Mosque Rt.005 Rw.004 kel. Serua, Kec. Ciputat, South Tangerang City, Banten. As a youth social organization, Karang Taruna / Mosque Organization is a forum for guidance and development as well as empowerment in an effort to develop productive economic activities by utilizing all the potential available in the human resource environment.Keywords: Organizing

Center gained by accidental sampling technique. The data collection conducted from May to June 2019 and analyzed using univariate. The result showed that there was a difference in the level of knowledge of pregnant mothers on anemia. In Sukamulya Public Health Center, almost 46.44% of participants had a lack of knowledge of the causes of anemia in pregnant mothers, meanwhile, in Tarogong Public Health Center, almost 49.5% had sufficient knowledge of anemia. It concluded that there was a different level of knowledge among pregnant mothers on anemia. Pregnant mothers in Sukamulya categorized had inadequate knowledge and for pregnant mothers in Tarogong categorized had sufficient knowledge about anemia. There is an intended value that the authors suggest, the public health centre must improve the knowledge among pregnant mothers on anemia through health counselling and seminar, especially regarding the knowledge on the cause of anemia among pregnant mothers in Sukamulya Public Health Center.