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PENGARUH JUMLAH PENDUDUK, UPAH MINIMUM, DAN PDRB TERHADAP TINGKAT PARTISIPASI ANGKATAN KERJA DI SUMATERA UTARA Syafira, Syarifah; Selvia, Dina
Jurnal Ekonomi Regional Unimal Vol. 6 No. 3 (2023): Jurnal Ekonomi Regional Unimal
Publisher : LPPM UNIMAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/jeru.v6i3.15180

Abstract

The study is aimed at recognizing the impact of population size, minimum wage and GRDP on the participation rate of the labor force in the Northern Sumatra Province. The data used in this study is a combination of the time series and cross section at 2017-2021. The data obtained in this study is from the statistical center (BPS) of 30 Districts/Northern Sumatera Province. The best model chosen in this study is the Random Effect Model (REM). Partially population and Gross Regional Domestic Product (GRDP) positive and significant effect on the level of labor force participation rate, minimum wage has positive and no significant impact on the labor force participation rate. Population, minimum wage and GRDP simultaneously have a positive and significant effect on the labor force participation rate.
The The Role of Satisfaction as a Mediator of the Influence of Facilities and Location on Revisit Intention: A Study at the Unit Bumi Kepanduan Sentul Bogor Sudarijati; Dwi Gemina; Selvia, Dina
SKeTsa Bisnis (e-jurnal) Vol 12 No 2 (2025): Sketsa Bisnis
Publisher : Universitas Yudharta Pasuruan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35891/j667wv11

Abstract

Introduction: This study examines how facilities and location influence visitors’ intention to revisit the Bumi Kepanduan Sentul Bogor Unit, with customer satisfaction serving as a mediating variable. The research is grounded in the understanding that visitor satisfaction is a key determinant of loyalty and revisit intention, particularly in tourism and recreation destinations. Methods: The study involved 100 respondents selected using a non-probability purposive sampling method. The criteria included visitors aged 17 years and above who had visited the site at least once. A descriptive and verification approach was applied using the path analysis method to determine both direct and indirect effects among variables. Results: The findings reveal that facilities and location have a direct and positive influence on satisfaction, while both also directly affect revisit intention. Furthermore, satisfaction itself significantly influences revisit intention and serves as a mediating factor between facilities, location, and the desire to return. These results indicate that improved facilities and strategic location can enhance visitor satisfaction, which ultimately increases the likelihood of revisits. Conclusion: This study highlights the importance of maintaining and improving facilities and location quality to enhance visitor satisfaction and loyalty. However, the study is limited by its relatively small sample size and narrow variable scope. Future research is recommended to include additional factors such as lifestyle, social influence, and reference groups, as well as to use a larger and more diverse sample to obtain more representative results.
IMPLEMENTASI ALGORITMA FUZZY UNTUK PENILAIAN KEPUASAN NASABAH PNM MEKAR DI PASAMAN Yanti, Rahma; Ramadani, Sela; Selvia, Dina; Sovia, Rini
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 8, No 4 (2025): November 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v8i4.4849

Abstract

Customer satisfaction assessment is an essential component in improving the service quality of PNM Mekar, a microfinance institution focused on empowering women through ultra-micro financing. Conventional evaluations rely heavily on subjective perceptions, creating a need for a more structured and objective method. This study applies the Fuzzy Logic algorithm to measure customer satisfaction by transforming numerical data into linguistic variables through fuzzification. Annual operational data, including the number of customers and returning customers, were processed using membership functions and fuzzy rules, followed by defuzzification to obtain a crisp satisfaction value. The results indicate that all satisfaction levels fall into the low category, suggesting the need for service improvement. The fuzzy-based model proves effective in providing adaptive, consistent, and realistic satisfaction evaluation.