Abstract:This study aims to analyze the determinants of rupiah exchange rate volatility and its impact on Indonesia's oil and gas imports. The variables observed in this study are economic growth, interest rates, inflation, rupiah…
h exchange rate volatility and Indonesia's oil and gas imports. All data used in this study are secondary data obtained from 2005 to 2019 time series recordings obtained from the Central Bureau of Statistics, Investing.com and Bank Indonesia. Data were analyzed using the two-stage least squares (2SLS) method in the IBM SPSS Statistics application 23. Based on the analysis results, economic growth was found to have a positive effect and interest rates had a positive effect. negative and significant impact on oil and gas imports due to fluctuations in the rupee exchange rate. Although inflation is negatively correlated, there is no significant impact on oil and gas imports through fluctuations in the rupee exchange rate.
Abstract:The purpose of this study was to determine the effect of sales promotions and brand awareness on purchasing decisions for Iconnet at PT. Icon+ in Makassar City. The population in this study are Iconnet customers. Sampling…
g in this study used the slovin formula so that 96 respondents were sampled. The type of research used is associative research. The data used is primary data obtained by distributing questionnaires to customers. The results of the study after being processed with SPSS 25 show that there is a partially significant effect between the independent variables on the dependent variable as evidenced by the t value of the sales promotion variable (X1) of 7.015 > t table of 1.661 with a sig. 0.000 < 0.05, and the calculated t value of the brand awareness variable (X2) is 2.873 > t table 1.661 with a significant value of 0.005 <0.05. Simultaneously there is a significant effect between the independent variable on the dependent variable as evidenced by the multiple linear regression equation Y = 4.565 + 0.302 X1 + 0.155 X2 +e and the significant effect of F count 41.345 > F table 3.094 with a significant level of 0.00 <0.05 The R Square value or the coefficient of determination of 0.471 indicates that 47.1% of the purchasing decision variable (Y) is influenced or can be explained by the independent variables of sales promotion and brand awareness, while the remaining 52.9% is explained by other variables not included in the this research. Based on this description.
Abstract:The purpose of the study was to determine the effect of product quality and service quality on customer satisfaction at the SLV Room Boutique. The population in this study were consumers of SLV Room Boutique. the sampling…
g in this study was carried out using a purposive sampling technique so that 80 respondents were sampled. The type of research used is quantitative. The data used is primary data obtained by distributing questionnaires to consumers. The results of the study after the data was processed with SPSS.23 show that there is a partially significant effect between the independent variable and the dependent variable which can be proven by the calculated t value of the product quality variable (X1) of 2,938> t table 1.665 with a significant value of 0.004 <0.05 and the calculated t value of the service quality variable (X2) of 4.700> t table 1.665 with a significant value of 0.000 <0.05. Simultaneously there is a positive and significant effect on the dependent variable (X2). Simultaneously, there is a positive and significant influence between the independent variables on the dependent variable as evidenced by the multiple linear regression equation, namely Y = -0.754 + 0.167 X1 + 0.338 X2 + e and a significant effect with a calculated F value of 56.016 > F table 3.965 with a significant level of 0.00 <0.05. The R Square value or the coefficient of determination of 0.593 indicates that 59.3% of the customer satisfaction variable (Y) is influenced or can be explained by the independent variables of product quality and service quality, while the remaining 40.7% is explained by other variables not included in this study. Simultaneously there is a positive and significant effect on the dependent variable (X2). Simultaneously, there is a positive and significant influence between the independent variables on the dependent variable as evidenced by the multiple linear regression equation, namely Y = -0.754 + 0.167 X1 + 0.338 X2 + e and a significant effect with a calculated F value of 56.016 > F table 3.965 with a significant level of 0.00 <0.05. The R Square value or the coefficient of determination of 0.593 indicates that 59.3% of the customer satisfaction variable (Y) is influenced or can be explained by the independent variables of product quality and service quality, while the remaining 40.7% is explained by other variables not included in this study. Simultaneously there is a positive and significant effect on the dependent variable (X2). Simultaneously, there is a positive and significant influence between the independent variables on the dependent variable as evidenced by the multiple linear regression equation, namely Y = -0.754 + 0.167 X1 + 0.338 X2 + e and a significant effect with a calculated F value of 56.016 > F table 3.965 with a significant level of 0.00 <0.05. The R Square value or the coefficient of determination of 0.593 indicates that 59.3% of the customer satisfaction variable (Y) is influenced or can be explained by the independent variables of product quality and service quality, while the remaining 40.7% is explained by other variables not included in this study. there is a positive and significant influence between the independent variables on the dependent variable as evidenced by the multiple linear regression equation, namely Y = -0.754 + 0.167 X1 + 0.338 X2 + e and a significant effect with a calculated F value of 56.016> F table 3.965 with a significant level of 0.00 <0.05. The R Square value or the coefficient of determination of 0.593 indicates that 59.3% of the customer satisfaction variable (Y) is influenced or can be explained by the independent variables of product quality and service quality, while the remaining 40.7% is explained by other variables not included in this study. there is a positive and significant influence between the independent variables on the dependent variable as evidenced by the multiple linear regression equation, namely Y = -0.754 + 0.167 X1 + 0.338 X2 + e and a significant effect with a calculated F value of 56.016> F table 3.965 with a significant level of 0.00 <0.05. The R Square value or the coefficient of determination of 0.593 indicates that 59.3% of the customer satisfaction variable (Y) is influenced or can be explained by the independent variables of product quality and service quality, while the remaining 40.7% is explained by other variables not included in this study. 338 X2 + e and a significant effect with a calculated F value of 56.016> F table 3.965 with a significant level of 0.00 <0.05. The R Square value or the coefficient of determination of 0.593 indicates that 59.3% of the customer satisfaction variable (Y) is influenced or can be explained by the independent variables of product quality and service quality, while the remaining 40.7% is explained by other variables not included in this study. 338 X2 + e and a significant effect with a calculated F value of 56.016> F table 3.965 with a significant level of 0.00 <0.05. The R Square value or the coefficient of determination of 0.593 indicates that 59.3% of the customer satisfaction variable (Y) is influenced or can be explained by the independent variables of product quality and service quality, while the remaining 40.7% is explained by other variables not included in this study.
Abstract:This study aims to analyze and determine the effect of loan performance on profit growth with operational costs and operating income (OCOI) as intervening variables in commercial banks in Indonesia. The data analysis technique…
hnique in this study uses Partial Least Square (PLS) using Smart PLS software. This data analysis technique is used to facilitate researchers in data processing and analysis. The results show that the loan performance coefficient positively and significantly affects profit growth. The results of testing loan performance on profit growth show a path coefficient of 0.372 with a t-statistic value of 3.504. The t-statistic value is smaller than the t-table value (1.96). The coefficient of operating costs and operating income shows a negative and significant impact on profit growth. The results of the OCOI test on profit growth show a path coefficient of -0.638 with a t-statistic value of 6.324. The t-statistic value is greater than the t-table value (1.96). The loan performance coefficient through operational costs and operating income is negative and not significant to profit growth. The results of testing the performance of loans through OCOI on profit growth show a path coefficient of -0.174 with a t-statistic value of 1.756. The t-statistic value is smaller than the t-table value (1.96).
Abstract:This study was to determine the effect of workload and work stress on employee performance in PT PLN (Persero) Karebosi Customer Service Unit Makassar City. the sample of this study were 58 employees. This type of research…
ch is Quantitative research. The data used are primary data and secondary data obtained using the questionnaire distribution technique. The results of the study shows that there is a positive influence between the workload variable (X1) on employee performance (Y) and there is a negative influence between the work stress variable (X2) on the employee performance variable which can be shown through the multiple linear regression equation, namely Y = 38. 355 + 0.265 - 0.294 + e and has a significant effect with the t_ (calculated) value of each variable of 3.711> t_ (table) (X1) and -2.612> t_ (table) (X2), with a significance level of 0.003 <0.05 (X1) and 0.012 <0.05 (X2). The R Square value of 0.501 this figure shows that the workload variable and the work strea variable in this study contributed an influence of 50.1%.
Abstract:This study aims to determine the effect of marketing mix on sales volume at PT. Megahputra Prosperous Pettarani Makassar Branch. The population in this study are consumers at PT. Megahputra Sejahtera Pettarani Makassar Branch…
ranch who purchased Suzuki Ertiga car products in 2018-2022. Data collection was carried out using documentation and questionnaire methods. The data analysis technique used is multiple linear regression analysis. Multiple linear regression equations produce equations Y ̂= 0.308+ 0.248X_1+ 0.009X_2+ 0.027X_( 3)+ 0.094X_4 + ( -0.151 ) X_5+ 0.403X_6 + 0.137X_7. This the results of this study found that simultaneously the Marketing Mix variable (X1, X2, X3, X4, X6, and X7) has a positive effect on Sales Volume while X5 has a negative effect on Sales Volume. The results of the determination correlation analysis (R Square) were 0.343 which indicated that 34.3% of the independent variables namely X1, X2, X3, X4, X5, X6, and X7 had an effect or were able to explain the characteristics of the dependent variable (Y). While the remaining 65.7% is influenced or explained by other variables not included in this research model. The results of the F test explain that the seven Marketing Mix variables have a significant effect on the Sales Volume variable with a calculated F value (6.157) > F table (2.16) with a significance level of 0.000 <0.05 and the t test results explain that the Product variable (X1) with value 0.017 <0.05 and Process (X6) with a value of 0.001 <0.05 has a significant effect on Sales Volume variable
Abstract:This study aims to determine the effect of service quality on repurchasing and the effect of customer satisfaction on repurchasing halal fashion products at the Bone Sewing House (RJA). The variables used are Service Quality…
lity (X1), Customer Satisfaction (X2) as the independent variable and Repurchase (Y) as the dependent variable. This study uses a quantitative approach. The research was conducted using a purposive sampling technique, with a sample of 80 respondents. The data collection method was through distributing questionnaires to the customer population of the Bone Sewing House (RJA). The data analysis technique used is Partial Least Square (PLS). The results of this study indicate that service quality (X1) has a significant effect on repurchase (Y) and customer satisfaction (X2) has a significant effect on repurchase (Y) with a sig value of 0.000, which means the value is less than α 0.05 or (0.000 < 0.05).
Abstract:This study aims to find out how the effect of e-service quality on e-loyalty through e-satisfaction at Mandar Coklat Shop Macoa. The population in this study were customers at Mandar Coklat Shop Macoa the sample used was…
60 customers. Data collection was carried out using the questionnaire method which was distributed via Google from. The data analysis technique used is partial least squares (PLS) using measurement model analysis (outer model) and structural model analysis (inner model) where the research results show a direct effect of E-Service (X) on E-Loyalty (Y), where from the results of the statistical test the result is a p-value (0.011) <0.05, which means that the p-value is less than the significance level of 0.05 so that there is a direct effect of E-Service on E -Loyalty.
Abstract:Asthenopia didefinisikan sebagai keluhan subjektif penglihatan berupa penglihatan tidak nyaman, sakit dan kepekaannya berlebihan. Astenopia adalah sebagai suatu gejala subjektif penglihatan yang disebabkan karena penggunaan…
naan mata dalam pekerjaan. Faktor-faktor yang berhubungan dengan kejadian Astenopia adalah faktor yang disebabkan oleh hubungan erat dengan faktor Herediter (keturunan), jenis pekerjaan, jarak pandang, pola makan, usia, sinar ultraviolet dari cahaya matahari, riwayat penyakit, obat-obatan tertentu. Pembatasan masalah penelitian ini adalah Karena keterbatasan waktu yang dimiliki penulis maka penulis hanya mengambil 2 faktor saja yaitu: Jenis Pekerjaan dan usia. Rumusan masalah penelitian ini adalah apakah ada hubungan antara jenis pekerjaan dan usia terhadap kejadian astenopia? Tujuan penelitian diketahui hubungan antara jenis pekerjaan dan usia terhadap kejadian astenopia. Metode penelitian ini menggunakan survey analitik dengan pendekatan cross sectional dengan jumlah populasi 54 responden, jumlah sampel diambil dari total populasi. Hasil analisa univariat, bivariat dan uji staitsik chi-square menunjukan ada hubungan bermakna antara jenis pekerjaan terhadap kejadian astenopia dengan p value: 0,001 < 0,1, ada hubungan bermakna antara usia dengan kejadian astenopia dengan p value: 0,000 < 0,1. Disarankan kepada pimpinan Optik Junjungan menentukan kebijakan untuk mengembangkan pelayanan kesehatan terutama terhadap kejadian astenopia serta dalam memberikan penjelasan secara detail kepada konsumen.
Abstract:Studi yang dikerjakan oleh Holden menemukan bahwa prevalensi miopia global adalah 22,9% dan miopia tinggi 2,7% pada tahun 2000. Dalam dekade berikutnya, prevalensi miopia meningkat menjadi 28,3% dan miopia tinggi naik menjadi…
njadi 4,0% pada tahun 2010. Prediksi untuk tahun 2050 menyatakan bahwa prevalensi miopia akan mencapai 49,8% dan miopia tinggi akan mencapai 9,8%. Selain itu, data dari WHO pada tahun 2010 mencatat bahwa prevalensi miopia global adalah 27% dan miopia tinggi adalah 2,8%. Berbagai faktor yang berkontribusi terhadap terjadinya miopia pada pasien meliputi genetik dan pola hidup Miopia merupakan sebuah kelainan refraksi di mana, ketika mata tidak berakomodasi, sinar-sinar sejajar dari objek tertentu difokuskan bukan pada retina, melainkan di depannya.Tinjauan Pustaka: miopia merupakan sebuah kelainan refraksi di mana, ketika mata tidak berakomodasi, sinar-sinar sejajar dari objek tertentu difokuskan bukan pada retina, melainkan di depannya. Metode Penelitian: Dalam penelitian ini, metode deskriptif observasional dengan pendekatan cross sectional. Sampel dari penelitian ini sebanyak 56 responden. Hasil Penelitian : Setelah dianalisa dengan uji statistik chi-square dimana P = 0,05 diperoleh P Value =0,006 < 0,05 dan diperoleh bahwa ada hubungan yang bermakna antara faktor genetik dengan kejadian miopia tinggi di Optik Global Palembang. Setelah dianalisa dengan uji statistik chi-square dimana P = 0,05 diperoleh P Value = 0,03 < 0,05 dan diperoleh bahwa ada hubungan yang bermakna antara pola hidup dengan kejadian miopia tinggi di Optik Global Palembang. Kesimpulan : berdasarkan hasil dari uji chi square terdapat ada hubungan antara faktor genetik dan pola hidup terhadap terjadinya miopia tinggi pada pasien di Optik Global Palembang.