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This research aims to analyze the profit forecasting using the weighted moving average method then compare the pattern between Astra companies listed on IDX (Indonesia Stock Exchange). The research method use is quantitative descriptive with secondary data of profit in the 2018-2022 period that provides quarterly. The result for this research shows the highest forecasting of profit on PT Astra International Tbk occurring in the third quarter in 2023 with the amount of 20,970. While the lowest forecasting occurred in first quarter in 2023 with the amount of 9,410. While the lowest forecasting occurred in first quarter in 2023 with the amount of 13,529. The highest forecasting of profit on PT United Tractors Tbk occurs in the third quarter in 2023 with the amount of 13,738,446. While the lowest forecasting occurred in first quarter in 2024 with the amount of 5,584,042. and the highest forecasting of profit on PT United Tractors Tbk occurs in the second quarter in 2023 with the amount of 50,707. While the lowest forecasting occurred in the third quarter in 2024 with the amount of 22,496.

This research aims to analyze inventory forecasting using the weighted moving average method and then compare the trading companies' patterns. The research method used is quantitative descriptive with secondary data of inventory in the period 2018-2022 which provide quarterly. This research uses the weighted moving average method to calculate forecasting of inventory by Microsoft Excel data analysis techniques. This research shows the highest inventory forecasting on PT Sumber Alfaria Trijaya Tbk (AMRT) occurs in the first quarter of 2023 with the amount of 10.537.541 and the lowest forecasting occurs in the second quarter in 2023 with the amount of 10.431.677. The highest inventory forecasting on PT Erajaya Swasembada Tbk (ERAA) occurs in the second quarter of 2023 with the amount of 6.443.525 and the lowest forecasting in the fourth quarter of 2023 with the amount of 6.418.659. The highest inventory forecasting on PT United Tractors Tbk (UNTR) occurs in the third quarter of 2023 with the amount of 12.239.422 and the lowest forecasting in the first quarter of 2023 with the amount of 12.050.681. Based on the study's results, the tracking signal value at AMRT was 2,17, ERAA was 0.01, and UNTR was -0.08. The three companies' results prove that the weighted moving average can be used to determine inventory forecasting for the next period because the tracking signal value is still within the control limits of ±4.

The fluctuation of share prices in a secondary market allows investors/traders to gain profits through the difference in share prices (capital gain). In order to obtain these benefits, it is necessary to analyze before buying shares through fundamental and technical analysis. One of several methods in Technical Analysis is Simple Moving Average Method. This method can predict (forecast) share prices by calculating the moving average of the share price history. Historical share prices can be obtained in real-time using the Web Scrapper technique, so the results are more quickly and accurate. Using the MAPE (Mean Absolute Percent Error) method, the level of accuracy of forecasting can be calculated. As a result, the program could run successfully and display the value of forecasting and the level of accuracy for the entire data tested in LQ45. Besides, forecasting with a value of N = 5 has the highest level of accuracy, reaching 97,6 %, while the lowest one uses the value of N = 30, which is 95,0 %.

The marketing dashboard is one of the company's barometers that can be used for early warning of the company in marketing operations. This study aims to facilitate the company's management and marketing division for decision-making in marketing operational activities by designing a marketing dashboard. The marketing dashboard, apart from being used for decision-making, can also be used for early warning companies in determining steps in the marketing department. The method used in this research is the Research and Development (R&D) method which uses the Analysis, Design, Development, and Implementation, Evaluation (ADDIE) model to design the marketing dashboard. Collecting data using interviews and documentation at the company. This research produces a marketing dashboard that describes sales position, turnover, and stock turnover. The results of the implementation of the marketing dashboard on PR. Gagak Hitam showed a positive response.

This study aims to analyze the causes of delays in decision-making within the company. Managers can identify several constraints in decision-making by using analytical tools. In this study, the device used to analyze the problem is root cause analysis. Root cause analysis is used to determine the initial cause of the issues. The method used in the root cause analysis is a fishbone diagram where the fishbone diagram can identify some of the problems that underlie the constraints in decision making. This study uses a qualitative descriptive method by taking data from interviews and documentation. The results of this study can be seen in decision making four problems underlie the inhibition of decision making. The problem is the first decision-maker; namely, the company's management is not wholly a determinant in making decisions. The second problem is that the information presented as a guide for decision-making is inaccurate, not timely, and irrelevant. The third problem is the absence of software that processes data into information needed by company management. The last problem is the lack of integration between divisions, so the resulting information is out of sync. Root cause analysis and fishbone diagrams, that was possible to analyze in detail the causes of delays in decision making. In the end, management can find solutions to each of these problems. Management will search each problem for the root cause, and the answer that they will give will be right on target so that the hope to minimize the obstacles to decision making will be implemented.