Background: The rapid development of telecommunication technology has prompted the creation various messenger applications. competition among social messengers to gain market share is becoming tighter. Objective: This study aims capture user preferences for platforms and inform software companies improve their products based on needs. Methods: research uses quantitative methods, i.e., categoric...

The objective of this study was to develop a forecast model to determine the rate of generation of municipal solid waste in the municipalities of the Cuenca del Cañón del Sumidero, Chiapas, Mexico. Multiple linear regression was used with social and demographic explanatory variables. The compiled database consisted of 9 variables with 118 specific data per variable, which were analyzed using a ...

Banyaknya persaingan dalam industri perdagangan khususnya bidang Fashion. Di Indonesia bahkan diluar negeri kini semakin berkembang menegikuti tren modernisasi, keberadaan Abaya sangat mendukung penampilan dan membuat mereka lebih menarik serta trand di kalangan masyarakat. Selain itu, pendapatan abaya meningkat saat mendekati hari raya besar lainnya. Namun dengan adanya perkembangan masyarakat...

The release rate of liquid core material from microcapsules is crucial for the surface properties self-protective metal/liquid microcapsule composite plating coating. However, there no method to accurately predict microcapsules. In this paper, permeability experiments different shell membranes and materials were carried out using weight loss method, model was studied based on a multiple linear ...

The widespread electrification of public transportation is increasing and a powerful way to reduce greenhouse gas (GHG) emissions. Using real-world driving data crucial for vehicle design efficient fleet operation. Although electric powertrains are significantly superior conventional combustion engines in many aspects, such as efficiency, dynamics, noise or pollution maintenance, there several ...

The Multiple Linear Regression (MLR) is a predictive model that was commonly used to predict the clinical score of stroke patients. However, performance slightly depends on method feature selection data as input predictor model. Therefore, appropriate needs be investigated in order give an optimum prediction. This paper aims (i) develop for Motor Assessment Scale (MAS) prediction patients, (ii)...