• We present MAGWGPRS, a new model that is a combination and development of count response MARS and spatial regression. • Selecting the optimal bandwidth using an adaptive Gaussian kernel function based on the CV method. • Grouping districts/cities in Java Indonesia based on inter-regional disaggregating variables in modeling DHF cases.

The problem of online loans has become an increasingly worrying phenomenon in Indonesia. Online loans have become a popular financial solution, but they pose risks such as high interest rates, data security threats, and psychological stress due to debt. Teachers and students are groups that are vulnerable to being affected by this problem, both directly and indirectly. This article discusses the development of an education program for teachers and students at SMKN 2 Padang Panjang, West Sumatra. The aim is to increase financial literacy in order to prevent the negative impacts of online loans among teachers and students. This program is designed through a participatory approach involving seminars, training/workshops, and financial simulations. The results show that structured education can improve financial online loans, financial literacy, education programs, financial management skills and awareness of the dangers of illegal online loans.

This paper discusses model formation which is a modification between multivariate adaptive regression spline (MARS) and generalized Poisson regression (GPR). Th This paper discusses model formation which is a modification between multivariate adaptive regression spline (MARS) and generalized Poisson regression (GPR). Th

Covid-19 has become a global pandemic in the 21st century. Various efforts to control its spread have been made. Isolation or regional quarantine is one of the efforts made by almost all countries in the world. Indonesia modified the lockdown by implementing 'Large-Scale Social Restrictions (PSBB)'. Before and during the implementation of PSBB, there have been many pros and cons in the community. By using the SIR model and Euler method, the impact before and after the implementation of PSBB in Pekanbaru city is compared. Based on daily data of Covid-19 cases in Pekanbaru city, it is obtained that the value of the basic reproduction number before and after the implementation of PSBB are and respectivel. This condition confirms that either without or by implementing PSBB, Pekanbaru city will be free from Covid-19. Simulation of Covid-19 cases before and after PSBB graphically also shows a situation that will be free from disease. However, without implementing PSBB, the number of infected will jump drastically after some time even though it will eventually decrease, while by implementing PSBB there is no spike. Thus, the implementation of PSBB can be an alternative to control Covid-19. Keywords: Basic reproduction number, Covid-19, PSBB, SIR model, Euler methods.