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Penerapan Green Economy sebagai Pengembangan Wisata Alam Parsariran dalam Mewujudkan Pembangunan Berwawasan Lingkungan Wisnu Yusditara; Silviana Batubara; Fithra Maharani; Makhrani Makhrani
Masip: Jurnal Manajemen Administrasi Bisnis dan Publik Terapan Vol. 1 No. 2 (2023): Juni: MASIP: Jurnal Manajemen Administrasi Bisnis dan Publik Terapan
Publisher : Politeknik Kampar

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1170.617 KB) | DOI: 10.59061/masip.v1i2.197

Abstract

Green economy is a new concept that aims to improve economic aspects through development activities that do not neglect environmental sustainability. Batang Toru sub-district has various tourist objects, most of which are tourist objects that are only concerned with strategic locations. However, currently Batang Toru District is developing a tourist village that highlights agriculture and the natural beauty of the countryside. The purpose of this study is to describe and analyze the application of the green economy concept in the development of Parsariran Nature Tourism as an effort to realize environmentally sound development as well as supporting and inhibiting factors in the development of Parsariran Nature Tourism. This research is a qualitative descriptive research method. The Batang Toru sub-district government must immediately deal with land degradation and waste problems, such as helping to procure organic fertilizer for farmers.
Pengaruh Customer Bonding Terhadap Perilaku Pelanggan di UD. Tani Andalan Sipirok Kabupaten Tapanuli Selatan Fithra Maharani
Digital Bisnis: Jurnal Publikasi Ilmu Manajemen dan E-Commerce Vol. 3 No. 3 (2024): September : Digital Bisnis : Jurnal Publikasi Ilmu Manajemen dan E-Commerce
Publisher : Universitas 45 Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30640/digital.v3i3.3221

Abstract

The purpose of this research is to determine the influence of customer bonding on customer behavior. The population of this study was 300 people at UD. Tani Andalan Sipirok, South Tapanuli Regency. The sampling was not random and the sample size was 30 people. Data analysis uses data validity tests, data reliability tests, simple regression tests and hypothesis tests, determination tests. Based on the Simple Linear Regression Test, the equation Y = 7.346 + 0.703 is obtained as follows: a constant of 7.346, meaning that if the Customer Bonding (X) value is 0, then the total Customer Behavior (Y) value is positive, namely 0.703, the X coefficient = 7.346. And the results of the t test show that the t-calculated value of the Customer Bonding variable (X) is 6.759, and the t table value is 1.701, so t calculated > t table (6.759 > 1.701) so it can be concluded that the Customer Bonding variable has a positive and significant effect on Customer Behavior (Y ) in UD's business. Tani Andalan Sipirok, South Tapanuli Regency. So H0 is accepted because t count > t table (6.759 > 1.701). Based on the test results using the Coefficient of Determination Test, a coefficient of determination value of 0.620 was obtained, that Customer Bonding (X) was able to explain 62.0% of changes in Customer Behavior (Y) in UD businesses. Tani Andalan Sipirok, South Tapanuli Regency. Meanwhile, the remaining 38.0% is explained by other factors that were not examined by researchers. The results of this research show that customer bonding has an influence on customer behavior which is expressed by the calculation results of t count > t table, namely 6.759 > 1.701 so it can be concluded that t count is in the rejection of H0 and Ha is accepted. Based on the Determination test, the R Square value is 0.620 or 38.0% of the customer behavior variable (Y) is influenced by customer bonding (X).
Assessing the Impact of CRM on Customer Loyalty Through Linear Regression Analysis Harahap, Diana Sari; Agustalinda Nora; Fithra Maharani
International Journal of Economic, Technology and Social Sciences (Injects) Vol. 6 No. 1 (2025): Mei 2025
Publisher : CERED Indonesia Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53695/injects.v6i1.1318

Abstract

This study aims to determine the effect of Customer Relationship Management (CRM) on customer loyalty at PT Bank Mandiri (Persero) Tbk Padangsidimpuan Branch. The research method used is quantitative, with a data collection approach through observation, questionnaires, interviews, and documentation studies. Data analysis was carried out using simple linear regression techniques, hypothesis testing (t test), and the coefficient of determination (R²) test. The results showed that the regression coefficient value was +0.509, which indicated a positive relationship between CRM and customer loyalty. Hypothesis test analysis produces at value of +6.364 with a significance level of 0.000, which is smaller than 0.05. This shows that CRM has a positive and significant effect on customer loyalty partially. Based on the coefficient of determination analysis, the R² value of 43.9% indicates that CRM is able to explain 43.9% of customer loyalty variability, while the remaining 56.1% is influenced by other factors not discussed in this study. Thus, this study concludes that Customer Relationship Management has a significant influence on customer loyalty at PT Bank Mandiri (Persero) Tbk Padangsidimpuan Branch. These results strengthen the hypothesis that CRM is an important factor in building and increasing customer loyalty.
Empowering Smart Cities through Smart Governance: A Strategic Path to Employee Productivity Harahap, Diana Sari; Agustalinda Nora; Fithra Maharani
International Journal of Economic, Technology and Social Sciences (Injects) Vol. 6 No. 2 (2025): October
Publisher : CERED Indonesia Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53695/injects.v6i2.1400

Abstract

This study aims to find out how smart governance influences to create a smart city on employee work productivity at the Governor's Office of North Sumatra. In this study, the authors used quantitative research methods. Data collection procedures in this study are observation (observation), interviews, documentation studies and questionnaires. Data analysis techniques in this study were correlation analysis, simple linear regression analysis, hypothesis testing (t test), and coefficient of determination test (R2). The results of the correlation test obtained that the correlation coefficient between variable X (Smart Governance) and variable Y (Employee Work Productivity) is 0.730. This means that variables X and Y have a strong influence because they have a correlation value that is at 0.60 – 0.799 (strong/high correlation). The results of simple linear regression coefficient calculations obtained a constant coefficient value of 3,084 and an independent variable coefficient (X) of 0,827 so that a regression equation Y = 3,084 + 0,827 X + ? or Employee Work Productivity = 3,084 + 0.827 Smart Governance + ?. The results of calculations with the t test (hypothesis) obtained a calculated t value of 8.614 which is greater than the t table value of 1.997 or 8.614 > 1.997 at a sig level of 0.000. So, the test results conclude that there is a positive and significant influence between variable X on variable Y, or in other words Smart Governance (X) has a positive and significant effect on Employee Work Productivity (Y) in the Office of the Governor of North Sumatra in the General Affairs and Equipment Bureau section. The test results using the coefficient of determination, obtained an R value of 0.730 while an R2 value of 0.533 means a coefficient of determination of 0.533 or R2 x 100% of 53.3%. That is, this value has implications that the influence of the Smart Governance (X) variable affects Employee Work Productivity (Y) at the North Sumatra Governor's Office by 53.3% and the remaining 46.7% is influenced by other variables not discussed in the study.