Open AccessAnalysis of Mathematical Model on Impact of Unemployment Growth to Crime Rates
Author(s) -
Annisa Rahmita Soemarsono,
Irma Fitria,
Kartika Nugraheni,
Nur Hanifa
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1726/1/012003
Subject(s) - unemployment , government (linguistics) , economics , workforce , unemployment rate , work (physics) , stability (learning theory) , growth model , variable (mathematics) , labour economics , full employment , crime rate , econometrics , mathematics , macroeconomics , engineering , sociology , computer science , economic growth , criminology , mechanical engineering , mathematical analysis , linguistics , philosophy , machine learning
Unemployment is a condition describes a person doesn’t have a job. People who are available to work but they’ve not found a job is called unemployed. The high unemployment rate is due to the growth of new workforce that is greater than the growth of job openings. The high unemployment rate triggered an increase in crime. Efforts to lower the criminality figures caused by high unemployment are closely related to government policy. The provision of control of government policy is applied to mathematical models of unemployment growth. The impact of unemployment growth against the crime rate can be identified by constructing a new model. Construction of models was done through the addition of a variable described the number of criminals into the initial model of unemployment that has been given control. Stability analysis of the construction of new models is done using Routh-Hurwitz stability criterion. Based on the results of the stability analysis, it is presented that the mathematical model on impact of unemployment growth to crime rates is an asymptotically stable model with the conditions of the parameters fulfilled.