This study focuses on the comparison between e-learning methods and conventional method (face-to-face) to find out the weaknesses and strengths of e-learning applied at Muhammadiyah University in Sidoarjo. E-Learning used in this study is Edmodo. The research method in this study used Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). The sampling technique used is cluster random sampling which is taken proportionally for each cluster. Based on the results of the study it was found that the conventional method (face to face) is still considered better by students than e-learning because it is easier to understand the material and easier to interact with the teacher. However, e-learning itself also has advantages compared to conventional, namely in terms of flexibility in lecture time and ease of collecting assignments

Teaching and learning can be defined as a process that contains a series of actions between educators and learners on the basis of reciprocal relationships that take place in an educational situation in order to achieve certain goals. Interaction or reciprocal relationship between educators and learners is a key condition for the continuity of the learning process. The process of interaction can be said to work well if the students can actively participate in the learning process. Active participation by students is expected in the learning process to determine the level of understanding of the material presented. The purpose of this research was to determine the relationship between the activity of students to learn the final results were analyzed using correlation analysis. The case studies in this research were students PTIK half of 1 course of Calculus Elementary School  Year 2015/2016. Based on the analysis of correlation obtained by the correlation coefficient of 0.857 which indicates that there is a high positive correlation between the activity of the student (X) and the value of the final learning outcomes (Y). Besides the correlation coefficient of 0.857 can also mean that increasing the value of the activity of the student (X) then the value of the final learning outcomes (Y) will also increase. For the hypothesis testing results of the correlation coefficient can be concluded that with a confidence level of 95% is sufficient evidence to suggest that there is a statistically significant relationship between the activity of the student (X) and the final learning outcomes (Y).

This research was conducted in Sidoarjo District where source of data used from secondary data contained in the book "Kabupaten Sidoarjo Dalam Angka 2016" .In this research the authors chose 12 variables that can represent sub-district characteristics in Sidoarjo. The variable that represents the characteristics of the subdistrict consists of four sectors namely geography, education, agriculture and industry. To determine the equitable geographical conditions, education, agriculture and industry each district, it would require an analysis to classify sub-districts based on the sub-district characteristics. Hierarchical cluster analysis is the analytical techniques used to classify or categorize the object of each case into a relatively homogeneous group expressed as a cluster. The results are expected to provide information about dominant sub-district characteristics and non-dominant sub-district characteristics in four sectors based on the results of the cluster is formed.

Regression model between predictor variables and the Poisson distributed response variable is called Poisson Regression Model. Since, Poisson Regression requires an equality between mean and variance, it is not appropriate to apply this model on overdispersion. Poisson regression can be used to analyze count data but it has not been able to solve problem of excess zero value on the response variable. An alternative model which is more suitable for overdispersion data and can solve the problem of excess zero value on the response variable is Zero Inflated Negative Binomial (ZINB). In this research, ZINB is applied on the case of Tetanus Neonatorum in East Java. The aim of this research is to examine the likelihood function and to form an algorithm to estimate the parameter of ZINB and also applying ZINB model in the case of Tetanus Neonatorum in East Java. Maximum Likelihood Estimation (MLE) method is used to estimate the parameter on ZINB and the likelihood function is maximized using Expectation Maximization (EM) algorithm. Test results of ZINB regression model showed that the predictor variable have a partial significant effect at negative binomial model is the percentage of pregnant women visits and the percentage of maternal health personnel assisted, while the predictor variables that have a partial significant effect at zero inflation model is the percentage of neonatus visits.

The increase of halal food products has led to increase in culinary tourism in recent years. One of the districts that has experienced a rapid increase in culinary tourism is Sidoarjo Regency. The development of culinary tourism in the last few years in Sidoarjo Regency generally targets are the students. This study will aim to determine the factors that influence the interest in buying halal food and what factors have the greatest influence on the interest in buying halal food. The analysis technique uses the Partial Least Squares Structural Equation Modeling (PLS-SEM. Based on the results of the analysis, it is known that of the 5 predictor variables used in the analysis process, there are 4 variables that have a significant effect on Purchase Interest (Y). It can be concluded that increasing of Halal Awareness (X1), Halal Certification (X2), Health (X3) and Value Perception (X5) will further increase Purchase Interest (Y). Meanwhile, based on value of coefficient on each variable, it is known that Health  (X3) has the largest coefficient value (0.260), so it can be concluded that Health (X3) has the greatest influence on Purchase Interest (Y).