The manufacturing sector in the city of Bandung contributes approximately 25.45% in 2013 but the contribution decreases by 24.29% in 2014 and 2015. This is caused by the decrease in employee performance of SMEs in this sector as a result of the low personal intelligence and organizational culture. This research studied 10 SMEs (medium scale) of Muslim fashion industry in Bandung, registered in BPPKU Kadin (chamber of commerce) Bandung. This study is aimed at determining the effect of personal intelligence and organizational culture on employee performance of SMEs either partially or simultaneously. The method used is explanatory research. The results showed that personal intelligence and organizational culture significantly influence employee performance of medium scale SMEs of Muslim fashion industry in Bandung either partially or simultaneously.
Purpose: The purpose of this study was to determine purchasing decisions on the GoFood application as measured by two aspects, namely product photos and customer ratings. This research can help food and beverage sellers, especially restaurants, as GoFood partners, display attractive product photos to influence consumers' purchasing decisions. Research methodology: This research is quantitative research with a survey method through an online questionnaire. The sampling technique used was purposive sampling, where the respondents were consumers who had bought food and beverages on the GoFood application, as many as 101 respondents. The analysis technique in this study is an analysis of the characteristics of the respondents; validity and reliability test; classical assumption test; correlation coefficient test (r); coefficient of determination test (R2); F test; and t test. Results: The results of the study simultaneously show that the product photo (X1) and customer rating (X2) variables simultaneously affect purchasing decisions through the GoFood application. The product photo (X1) and customer rating (X2) variables on purchasing decisions indicate that the better the product photos displayed, the greater the purchasing decisions made by consumers on the GoFood application. Limitations: Researchers only focus on the GoFood application, while there are still many other food and beverage service provider applications and the number of respondents is still very low to describe the actual situation. Contribution: enriching knowledge in the field of digital marketing, specifically about the effect of product photos and customer ratings on purchasing decisions. Keywords: 1. Product Photos 2. Customer Ratings 3. Purchase Decisions
Purpose: The purpose of this activity is to improve the ability of Village-Owned Enterprises (BUMDes) managers in preparing financial plans, in the form of assessing feasibility studies, analysing income and expenses, and preparing financial transactions using digital technology. Research methodology: The method used in this community service activity is counselling, training and mentoring. The target of the activity is Village administrators and Village-Owned Enterprises (BUMDes). Results: The results of this community service activity is to increase knowledge about making financial report, increase knowledge about business plan, increase knowledge about feasibility studies, and increase knowledge about business digital technology. Conclusions: After the activity is carried out, the community gains knowledge, insight and understands the benefits of managers in preparing financial plans, managers in preparing financial plans, managers in preparing business plan, in the form of assessing feasibility studies, and using business digital technology. Limitations: The ability of village officials in the use of technology. Contribution: This service is useful for village officials and BUMDes administrators in choosing businesses that are in accordance with the potential of their village. Keywords: 1. Business Plan 2. financial report 3. feasibility studies 4. business digital technology
The study of multivariate time series data analysis has become many topics of research in the fields of economics and business. In the present study, we will analyze data energy inflation and gasoline prices of Indonesia over the years from 2014 to 2020. The purpose of this study is to obtain the best model of the dynamic relationship between inflation and gasoline prices. The dynamic modeling that will be used in this research is modeling using the Vector Autoregressive (VAR) model. From the analysis results, the best model is the VAR model with order 3 (p=3), VAR(3). Based on the best model, VAR(3), further studies will be discussed with regard to Granger causality analysis, Impulse Response Function, and Forecasting.
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