Learning application of Lampung language based on multimedia software

In the learning method of Lampung language in Junior High School 1 Pugung still using conventional method so that the learning process of Lampung language in Junior High School 1 Pugung become less interactive and less fun so that the students pay less attention to what is delivered by the teacher. Lampung language is one of the regional languages in Indonesia, the language of Lampung itself must be studied when students who are in Lampung province who sit in junior high school. So the author makes a multimedia application using Adobe Flash which is used for learning Lampung language in Junior High School 1 Pugung become more interactive and fun, thus helping students to focus in learning Lampung language

Application model of k-means clustering: insights into promotion strategy of vocational high school

Admission process is required in promoting the strategy to achieve the target. Through determining the strategic promotion, minimizing the cost in the marketing process could be reached with determining the appropriate promotion strategy. Data mining techniques in this initiative were applied to achieve in determining the promotional strategy. Using Clustering K-Means algorithm, it is one method of non-hierarchical clustering data in classifying student data into multiple clusters based on similarity of the data, so that student data that have the same characteristics are grouped in one cluster and that have different characteristics grouped in another cluster. Implementation using Weka Software is used to help find accurate values where the attributes include home address, school of origin, transportation, and reasons for choosing a school. The cluster of students was classified into five clusters in the following: the first cluster 22 students, the second cluster 10 students, the third cluster 10 students, the fourth cluster a total of 33 students, and the fifth cluster 25 students. The pattern of this result is supposed to contribute to enhance the significant data mining to support the strategic promotion in gaining new prospective students