Abstract:This study aims to determine differences in the soundness level of government owned Islamic banks before and after the merger using the Risk Profile, Good Corporate Governance, Earnings, and Capital methods. This study uses…
ses quantitative anda comparative methods with secondary data types in the form of quarterly financial reports obtained from the bank’s official website and www.ojk.co.id. The samples in this research are balance sheets and reports profit and loss of Bank Syariah Mandiri, BNI Syariah, BRI Syariah, and Bank Syariah Indonesia in the 2018-2022 period. Based on the results of research with bro using the RGEC method which consists of Risk Profle with a Non ratio Performing Financing (NPF), and Financing to Deposit Ratio (FDR), Good Corporate Governance with Net Open Position (PDN) ratio, Earnings with gan Return On Asset (ROA) and Capital ratio with the Capital Adequacy Ratio (CAR). The results of the NPF, PDN, ROA, and CAR ratio analysis provide result that there is a significant difference in this ratio before and after the merger. Meanwhile, the FDR ratio shows that there is no difference in the results significant before anda after the merger. Based on research has been carried out, it can be concluded tha Bank Syariah Indonesia is improving after the merger.
Abstract:The purpose of this study is to investigate how the public-private partnership model based on the construction-operation-transfer model in the case of infrastructure development in Makassar City is utilized in the construction…
uction of the Makassar City Toll Road. After satisfying the requirements set in each case, a public-private partnership contract is concluded. The construction of toll roads is basically done by the government, the Ministry of Public Affairs and a corporate body (in this case PT Bosova Margautama Nusantara) using a build-operate-transfer model (generally a model involving two parties). is constructed by public service users, governments, and service providers are involved in building and operating the infrastructure. After granting the right of use for 35 years as the organizer, it will be handed over to the government after the concession period.
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:This study aims to determine the impact of COVID-19 on the profitability of manufacturing companies listed on the Indonesia Stock Exchange. This sample was taken from manufacturing companies listed on the Indonesia Stock…
Exchange (IDX) which can be accessed via the website (www.idx.co.id), the research sample was selected using the purposive sampling method of 22 manufacturing companies listed on the Indonesian stock exchange for the 2019-2021 period. The type of data used in this research is quantitative data obtained from financial reports that have been audited and published by manufacturing companies listed on the 2019-2021 Indonesian Stock Exchange. Data collection is done by using Documentation technique. In this research, the data source used is secondary data. The analytical methods used in this study include: Using Descriptive Statistical Tests and Difference Tests (Paired Sample T-Test)
The results of this study indicate that it is concluded that the COVID-19 pandemic has had a significant impact on the profitability of manufacturing companies listed on the Indonesia Stock Exchange. NPM, ROA, and ROE underwent significant changes after the pandemic, indicating a decrease or increase in the financial performance of these companies. These results indicate the need for companies to adapt their business strategy and financial management to face the challenges posed by the COVID-19 pandemic in order to ensure the continuity and profitability of the company in the future.
Abstract:This study aims to determine the effect of motivation and work environment on employee performance at the Department of Trade and Industry of Gowa Regency. The population in this study were all employees at the Department…
t of Trade and Industry of Gowa Regency, totaling 40 people. The number of samples used is the entire population because there are less than 100 people, namely the type of saturated cover, with this type of quantitative research. The data used are primary data and secondary data obtained using a questionnaire distribution technique.The results of the research after being processed with SPSS. 21 Based on the results of the research it shows that motivation (X1) has a positive and significant effect on employee performance. work environment (X2) has an effect on employee performance, and in terms of positive influence it also has a significant impact. And together motivation and work environment affect employee performance.
Abstract:This study aims to determine the effect of motivation on employee performance at the Department of Trade and Industry of Gowa Regency. The population in this study were all employees at the Department of Trade and Industry…
ry of Gowa Regency, totaling 40 people. The number of samples used is the entire population because there are less than 100 people, namely the type of saturated cover, with this type of quantitative research. The data used are primary data and secondary data obtained using a questionnaire distribution technique. The results of the research after being processed with SPSS.21 Based on the results of the research it shows that motivation (X) has a coefficient value of 0.841 and t_count > t_table (3.385 > 2.026) and the value of Sig. of 0.002 <0.05, which means that motivation has a positive and significant effect on employee performance.
Abstract:The Effect of Compensation on Employee Organizational Commitment of PT. Vale Tbk in Sorowako. The purpose of this study was to determine the Effect of Compensation on Employees' Organizational Commitment at PT. Vale Tbk…
in Sorowako. This type of research is quantitative research. The number of samples in this study were 60 employees who were employees in the Maintenance Department of PT. Vale The results of the study after the data were processed showed that there was a positive influence between the financial compensation (X1) and non-financial compensation (X2) variables on the Organizational Commitment variable (Y) which can be shown through the results of the T test, namely variable X1 has variable X1 has t count 4.653 > 2.002 (t table) and sig. 0.000 < 0.05. Variable X2 has a t count of 3.392 > 2.002 (t table) and a sig. 0.000 < 0.05.
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:The purpose of this study was to determine the effect of product quality, price, and after-sales service on purchasing decisions for Honda brand Matic Motorbikes individually and simultaneously. The sample used was 100 students…
tudents of the Faculty of Economics and Business who had been selected based on predetermined criteria. Data collection techniques were carried out by questionnaire and literature study. The data analysis technique consists of validity test, reliability test, classical assumption test which consists of normality test, multicollinearity test, and heteroscedasticity test, multiple linear analysis test, hypothesis testing, determinant coefficient test. All independent variables have a correlation that is in the same direction as the dependent variable (purchase decision). The most dominant variable influencing purchasing decisions is the product quality variable. Which means that the dependent variable purchasing decisions can be explained by variables consisting of product quality, price, and after-sales service, the rest is explained by other variables that are not examined.
Abstract:Perkembangan pesat teknologi Artificial Intelligence (AI) telah mengubah lanskap pendidikan tinggi secara signifikan, terutama dengan hadirnya tutor virtual berbasis AI yang mampu memberikan umpan balik cepat, tepat, dan…
personal. Analisis Real merupakan salah satu mata kuliah yang paling menantang dalam program pendidikan matematika karena sifat abstraknya sering menyebabkan rendahnya self-efficacy mahasiswa. Penelitian ini bertujuan menganalisis pengaruh pemanfaatan AI sebagai tutor virtual terhadap self-efficacy mahasiswa Pendidikan Matematika Universitas Asahan yang menempuh mata kuliah Analisis Real. Penelitian menggunakan pendekatan kuantitatif dengan desain quasi-experimental one-group pretest-posttest, melibatkan 15 mahasiswa yang dipilih melalui purposive sampling. Instrumen angket self-efficacy dikembangkan berdasarkan tiga dimensi Bandura (magnitude, strength, generality), divalidasi melalui expert judgment dengan Cronbach’s Alpha sebesar 0,84. Hasil analisis deskriptif menunjukkan peningkatan rata-rata skor self-efficacy dari 65,67 (pre-test, kategori sedang) menjadi 79,93 (post-test, kategori tinggi), dengan peningkatan sebesar 21,7%. Uji Wilcoxon Signed-Rank Test menghasilkan nilai Z = −3,408 dengan p-value = 0,001 (p < 0,05), yang mengkonfirmasi terdapat perbedaan signifikan self-efficacy mahasiswa sebelum dan sesudah intervensi enam minggu menggunakan AI tutor virtual.
The rapid development of Artificial Intelligence (AI) technology has significantly transformed higher education, particularly through AI-based virtual tutors capable of providing fast, precise, and personalized feedback. Real Analysis, one of the most challenging mathematics education courses, frequently causes low self-efficacy among students due to its abstract nature and demands for formal proof-writing. This study examines the effect of utilizing AI as a virtual tutor on self-efficacy of mathematics education students at Universitas Asahan. A quantitative quasi-experimental one-group pretest-posttest design was employed with 15 students selected via purposive sampling. The self-efficacy questionnaire was based on Bandura’s three dimensions: magnitude, strength, and generality, validated by expert judgment with Cronbach’s Alpha coefficient of 0.84. Descriptive analysis results showed an increase in mean self-efficacy scores from 65.67 (pre-test, moderate category) to 79.93 (post-test, high category), representing a 21.7% improvement. The Wilcoxon Signed-Rank Test yielded Z = −3.408 with p-value = 0.001 (p < 0.05), confirming a significant difference in student self-efficacy before and after the six-week AI virtual tutor intervention.