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Rachmadina Habibah, Disse

Jurnal Inovasi Ilmu Pendidikan 2022 Pusat Riset dan Inovasi Nasional

Problematic Social Media Use (PSMU), namely being too busy with social media, having a strong or uncontrollable motivation to use social media, and spending too much time and effort on social media that causes disruption to social life, personal or other people, and health psychological and well-being. PMSB is complex and is formed by many factors, including biological, psychological, social, and cultural. In addition, interrelated factors such as personality, environmental factors, and behavioral systems can develop behavior problems such as PMSB. The purpose of this research is to find out whether there is a role of Dark Trait Personality (DTP) with Problematic Social Media Use (PSMU). The subjects in this study were 202 early adults who used social media. The instruments used were the Short Dark Triad Scale (SD3), Short Sadistic Impulse Scale (SSIS), and Bergen Social Media Addiction Scale (BSMAS). The analysis technique used is process by Hayes. The results of the study have a positive significance (0.00 > 0.05), which means that the higher the Dark Characteristics namely Psychopathy, Makiavelianism, /narcissism, and Sadism that a person has, then a person will tend to increasingly use his social media with bad or negative purposes so that have negative consequences for him. The results also show that there are a number of roles assigned by Dark Trait Personality (DTP) to Problematic Social Media Use (PSMU) of 27.1%, while the rest are influenced by other factors.

Chantika Putri Restiani; Siti Rahma; Deris Desmawan

Jurnal Ekonomi, Bisnis dan Manajemen (EBISMEN) 2022 FEB Universitas Maritim Semarang

The purpose of this study is to ascertain whether the population growth rate and unemployment rate have an impact on the poverty rate in West Java. Population growth and the unemployment rate are the independent variables, followed by the poverty rate as the dependent variable. The time series data used in this study include the years 2019 through 21. Multiple regression using SPSS 25.0 is the analytical approach employed. Where the regression equation, Y = 41,491 + 9,385 X1 + 14,239 X2, is discovered. This demonstrates that the poverty rate in the province of West Java has a unidirectional relationship with both the unemployment rate and population growth. The T test results showed that there was no relationship between West Java's poverty level and the unemployment rate. Additionally, the West Javan poverty rate is unaffected by the population growth variable. The F test indicates that the independent factors collectively have an impact on the dependent variable. The poverty rate is affected by the unemployment rate and population growth to the tune of 7.7%, with other factors affecting the remaining 92.3%.