Abstract-House prices increase every year, so there is a need for a system to predict house prices in the future. House price prediction can help the developer determine the selling price of a house and can help the customer to arrange the right time to purchase a house. There are three factors that influence the price of a house which include physical conditions, concept and location. This research aims to predict house prices based on NJOP houses in Malang city with regression analysis and particle swarm optimization (PSO). PSO is used for selection of affect variables and regression analysis is used to determine the optimal coefficient in prediction. The result from this research proved combination regression and PSO is suitable and get the minimum prediction error obtained which is IDR 14.186.

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According to health reports of Malang city, many people are exposed to sexually transmitted diseases and most sufferers are not aware of the symptoms. Malang city being known as a city of education so that every year the population number increases, it is at risk of increasing the spread of sexually transmitted diseases virus. This problem is important to be solved to treat earlier sufferers sexually transmitted diseases virus in order to reduce the burden of patient spending. In this research, authors conduct data mining methods to classifying sexually transmitted diseases. From the experiment result shows that K-NN is the best method for solve this problem with 90% accuracy.

Penelitian ini bertujuan untuk mengetahui sejauh mana daya tarik wisata dan pengelolaan Waduk Jatigede sebagai destinasi wisata kuliner, serta mengetahui dan mengidentifikasi strategi pengembangan wisata kuliner Waduk Jatigede. Waduk Jatigede merupakan salah satu destinasi wisata yang ada di Kabupaten Sumedang, Jawa Barat, Indonesia. Adanya fluktuasi pada jumlah pengunjung tentu tidak diharapkan oleh pengelola wisata, karena mempengaruhi pendapatan yang diterima oleh para pelaku usaha. Metode yang digunakan adalah mix method yaitu menggabungkan kedua pendekatan kualitatif dan kuantitatif dengan teknik pengumpulan data adalah triangulasi data, kemudian dianalisis menggunakan analisis SWOT.