Articles

The Influence of Price and Brand Quality on Market Orientation is mediated by Social Media Marketing

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This research analyzes the factors that influence market orientation in the retail industry, especially supermarkets in Batam City. People tend to want convenience and comfort in shopping, leading to a preference for supermarkets that are clean and modern and provide a variety of products. Batam, as a strategic industrial city, has tight retail competition with the development of minimarkets such as Indomaret and Alfamart. The research used a quantitative method with a questionnaire distributed to 266 respondents, measuring variables such as price, brand loyalty, product quality, service quality, stock, social media marketing, and market orientation. The research results show that price and stock have a significant influence on market orientation, while brand loyalty, service quality and social media marketing have varying influences. Product quality has a significant effect on social media marketing, but social media marketing is not significant on market orientation. The limitation of this research lies in the limited variable focus. It is recommended that further research add variables such as customer satisfaction, purchase intention, and consumer decision to expand understanding of the factors that influence market orientation.

Analysis and Prediction of Bollinger Bands to Predict Stock Prices in Determining Investment Strategies

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It is critical for stock investors to be able to forecast future stock values in order to determine potential gains or losses. A technical analysis approach can be used to anticipate stock prices in the realm of stock investment. A technical analysis approach was used to construct the Bollinger bands detecting application system. Technical analysis is a means of observing price variations over a specific time period by employing historical data and indicators. The goal of this research is to predict Bollinger bands and define the circumstances for buying and selling stocks in technical analysis. The object of this study is the closing price of BBRI.JK, BBCA.JK and BMRI.JK during 2022. Data is analyzed using Bollinger Bands and decision to buy the right stock is when the actual price of the stock intersects with the lower band because at that time the stock price is increasing, while the decision to sell the right is when the actual price of the stock intersects with the upper band because at that time the stock price will decrease. In addition, the results of the Bollinger bands prediction for n + 1 from the last day of the sample, December 30, are respectively the upper and lower Bollinger bands on January 2, 2023, which are 5.012,948 and 4.775,052 for BBRI.JK shares, 8.755,919 and 8.446,581 for BBCA.JK shares, and 5.321,991 and 4.764,259 for BMRI.JK shares.