Abstract:The village is the government that communicates directly with the community and is the center of government development. As such, the village government is an important part of the administration, and the village can have…
e the power to regulate and manage the interests of the community. To achieve community participation, the government has established a forum to implement development plans, namely Muslembang. If community participation is an element of the village development process, community participation has a significant impact on decision-making. The purpose of this study is to obtain an explanatory overview of community participation in the village RKP planning process in Paopao Village, Tanete Lilau District, and to clarify what are the factors that support and hinder community participation in the village RKP planning process. to clarify. Baloo's regent. The type of research used by researchers is qualitative. The location of this survey is in Paopao Village, Tanete Lilau District, Bal Regency.
The data collection process used by researchers includes data collection, data reduction, data presentation, and drawing conclusions. The results showed that: In 2019 and 2020, community participation in the village RKP planning process in Paopao Village, Tanete Lilau District, Baru Regency, only village officials participated in the RKP design team, community empowerment executives and community members. elements were not involved. And when it comes to female participation, only one woman reaches up to 30%. Therefore, we cannot speak of participatory advice on development planning. The driving force behind community participation in her RCP planning process for her village in Paopao Village, Tanete Lilau District, Balu District, is the community's awareness of progress in village development as a form of community awareness itself. Encouragement. Prioritize. The barrier to community participation is the individual community itself. Lack of curiosity, economic factors, and the level of education in the community are also among the barriers to participating in the development surprises of Baru Regency, Tanete Lilau District and Paopao Village.
Abstract:The Effect of Investment and Minimum Wage on Employment of Small Industry in Gowa Regency. This study aims to determine the effect of investment and minimum wages on the absorption of small industrial workers in Gowa Regency…
ency in the 2016-2020 period. The type of research used in this study is descriptive quantitative. The data used is secondary data obtained in ready-made form from the Department of Industry and Trade (DISPERINDAG) and the Department of Manpower and Transmigration (DISNAKERTRANS) during 2016-2020. The data analysis technique in this study is multiple regression analysis using SPSS. Based on the results of multiple regression analysis, it can be concluded that investment has a positive and significant effect on employment in the industrial sector and the minimum wage has a positive and insignificant effect on employment.
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 this study was to determine the effect of Job Satisfaction and Compensation on Turnover Intention at PT Hadji Kalla Urip Sumoharjo Branch, Panakkukang District, Makassar City, the subjects in this study were…
re 51 employees working at PT Hadji Kalla Urip Sumoharjo Branch. This research is included in quantitative research and quantitative analysis to test the research hypothesis using the IMB SPSS version 25 software. The results of this study indicate that job satisfaction has a negative and significant effect on turnover intention. This is evidenced by the t value of -3.055 where <t table (2.00958) and a significance value of 0.004 <0.05. The results of the study show that compensation has no significant effect on turnover intention. This is evidenced by the t value of 0.615 < t table (2.00958) and a significance value of 0.541 > 0.05. The results of the study show that job satisfaction and compensation have a simultaneous effect on turnover intention. This is evidenced by the calculated F value of 11.859 > 3.19 and a significance value of 0.001 <0.05.
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 assess and analyze whether the marketing strategy STP (Segmentation, targets, and position) to the level of sales has been implemented by Upnormal Coffee Beach in Palu which has reached more than one year…
ear (2021- 2022). This type of research is quantitative descriptive. The population in this study were all employees of Upnormal Coffee while the sample of this research is all employees of Upnormal Coffee as many as 36 employees as respondents using saturation sampling, the sampling technique when all members of the population were used as a sample. The data collection techniques were performed by means of a questionnaire conducted interviews and questionnaires. Based on the results of this study with multiple linear regression analysis, regression equation Y = 8,944+ 0.164 X1 + 0.061 X2 + 0,032 X3 + e. Basedonn statistical analysis data, the indicators in this study is valid and the variables are reliable. In the classical assumption, in said that indicator otherwise normal distribution and correlation Linear in significance between each independent variable and the dependent variable, to the amount of influence Segmentation, Targeting and Positioning are all having a positive direction and not significant in their influence on the level of sales in Upnormal Coffee in the city of PaluÂ
Abstract:This study aims to determine the effect of lifestyle and self-concept on consumptive behavior in students of the Faculty of Economics, Makassar State University. The population in this study were 2757 students of the Faculty…
ulty of Economics, Makassar State University and a sample of 96 students was drawn. This study uses a type of quantitative research with a regression approach. Data collection techniques were carried out by observation, interviews, documentation and distributing questionnaires (questionnaires). The analysis technique used is multiple linear regression. The results showed that partially, the lifestyle variable (X1) had a positive effect on consumptive behavior (Y) with a value of T count (5.732) > T table (1.985) and the self-concept variable (X2) had a positive effect on consumptive behavior (Y) with a value of T count (3.085) > T table (1.985), while simultaneously the lifestyle variable (X1) and self-concept (X2) had a positive effect on consumptive behavior (Y) with a value of F count (51.087) > F table (3.10).
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 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 (1) determine the effect of work motivation on employee performance, (2) determine the effect of work discipline on employee performance, (3) determine the influence of motivation and work discipline jointly…
ointly on employee performance in the Gantarangkeke sub-district office, Gantarangkeke district, Bantaeng regency. The type of data used in this study is quantitative data obtained from questionnaires that are distributed and related to the problem under study with a sample size of 41 people. Data were analyzed using multiple linear regression analysis with the help of SPSS 23 data processing to prove the hypothesis. The results showed that the work motivation variable obtained t-count 2.552 > t-table 1.685 and a significant value of 0.015 <0.05, then H1 is accepted, which means that the work motivation variable has a positive and partially significant effect on the performance variable. While the work discipline variable obtained t-count 7.189 > t-table 1.685 and a significant value of 0.000 <0.05, then H2 is accepted which means the work discipline variable has a positive and partially significant effect on performance variables. Based on the research results it is known that the performance variable, obtained f-count 35.267, where the value is greater than f-table 3.24. And a significant value of 0.000 indicates that the variables of motivation and work discipline have a positive and significant effect on performance variables together. t-table 1.685 and a significant value of 0.000 <0.05, then H2 is accepted, which means that the work discipline variable has a positive and partially significant effect on performance variables. Based on the research results it is known that the performance variable, obtained f-count 35.267, where the value is greater than f-table 3.24. And a significant value of 0.000 indicates that the variables of motivation and work discipline have a positive and significant effect on performance variables together. t-table 1.685 and a significant value of 0.000 <0.05, then H2 is accepted, which means that the work discipline variable has a positive and partially significant effect on performance variables. Based on the research results it is known that the performance variable, obtained f-count 35.267, where the value is greater than f-table 3.24. And a significant value of 0.000 indicates that the variables of motivation and work discipline have a positive and significant effect on performance variables together.