Determination of Extracurricular Activities for High School Students Based on Multiple Intelligence

Abstract

Senior high school in Indonesia is divided into two groups, namely Natural science and Social science. Those grouping of majors is allegedly not appropriate enough the potential of students yet because of the multiple intelligence of each student is different. This study aims to establish an extracurricular program for everyone grouped by multiple intelligences carried out by each student. The method used in this study are the non-hierarchical clustering k-Means and hierarchical clustering Ward method. The k-Means method used to determine the effective number of groups, while Ward method used to identify the member of each cluster and the recommendation of extracurricular in the cluster obtained. Based on the results of the clustering analysis, there are five clusters obtained, Language and Fine Arts; Communication; Leadership; Nature Lovers; and also Design and Photography.

The Implementation of ZIP Regression and ZINB Regression to Overcome Overdispersion of Death Cases Due to Filariasis in Indonesia

“…(Kusuma et al, 2013). While Zero-Inflated Negative Poisson (ZINB) regression, according (Ginzel et al, 2020) is a form of a mixed model of the Poisson and Gamma distributions (Anggreainy et al, 2022). In ZINB regression, there are two states, namely a zero state in which the observation is zero with the probability ω_i and a negative binomial state with a probability 1-ω_i with its negative Binomial distribution with the average μ_i.…”