Many people choose to trade binary options because it is not difficult to understand. They need to predict whether the price will be higher or lower than their open position in a specific timeframe. The most popular timeframe for binary options traders is the M5 (5-minutes). Many traders prefer to use a candlestick chart model to predict. We use SVM (Support Vector Machine) to indicate the next-candlestick based on the previous-candlestick features in this research. This paper uses six features such as Open Value, Close Value, High Value, Low Value, Volume Value, and previous Candlestick Color on each candlestick. The result of the prediction accuracy using SVM is only 56%.

The high risk of bankruptcy in micro-enterprises, that occurs during the COVID-19 pandemic, makes the micro-business segment experience the biggest impact of the decline in revenue due to limited supply and demand. History notes that during the 1998 economic crisis, MSMEs contributed 39.40% to GDP and were able to absorb 88.90% of workers. However, the situation in the COVID-19 pandemic is different from the situation in the 1998 economic crisis, in which technological developments are quite rapid in the current era. The rapid development of technology has led to increasingly strong pressure for companies to be able to achieve a competitive advantage. This study aims to identify and elaborate the application of the blue ocean strategy to MSMEs to increase competitive advantage. The innovation steps taken were evaluated with the Canvas Strategy and ERRC Grid. In addition, the researchers also applied the SWOT matrix as a starting point for mapping external and internal potentials. The results of this study indicated RM Dikamali’ has met three good criteria for implementing the blue ocean strategy, namely having focus, moving away from existing competitors, and having an attractive slogan. RM Dikamali’ took six stages in implementing the blue ocean strategy, making them be able to get out of market constraints and open new markets. The results of this study can be used as a reference for further studies concerning the Blue Ocean Strategy and for MSMEs in implementing the blue ocean strategy to increase their competitive advantage.

This study focuses on location, product innovation, and service quality affecting consumer satisfaction. In addition, the investigated question is “Do location, product innovation, and service quality have an influence on customer satisfaction at Café Maballo?” Furthermore, the objective of this study was to find out to what extent the effect of location, innovation, and service quality on consumer satisfaction at Café Maballo. The employed data collection method was a questionnaire. The collected data were then analyzed using a validity test, reliability test, normality test, hypothesis testing, multiple regression analysis, t-test, F test, and coefficient of determination (R2). To facilitate the data processing, researchers used SPSS v. 25. The results of the t-test examining the effect of location on customer satisfaction showed that t_count was > t_table (0.734 > 1.66792) with a significant level below 0.1 (i.e., 0.000). Thus, the location does not have a significant effect on customer satisfaction at Café Maballo. Furthermore, H_O is accepted, meaning that the location does not partially affect customer satisfaction. In addition, the results of the t-test examining the effect of innovation on customer satisfaction presented that t_count  was > t_table (3.253 < 1.66792), indicating that innovation has a positive and significant influence on customer satisfaction at Café Maballo. Additionally, the results of the t-test examining the effect of service quality on satisfaction revealed that t_count  was > t_table (3.455 > 1.66792). Therefore, H_a is accepted, meaning that service quality affects consumer satisfaction at Café Maballo. Apart from that, the results of the F test showed that F_count  was > F_table (19.203 > 3.13), indicating that location, innovation, and service quality simultaneously influence customer satisfaction at Café Maballo. Furthermore, the coefficient of determination presented an R-squared of 0.462 or 46%. This shows that the percentage of the influence of the independent variables on the dependent variable is 46% while the remaining 54% is from the influence of other variables not observed in this study.

Penggunaan pupuk kimia sangat berbahaya, oleh karena itu sangat diharapkan untuk menggunakan pupuk organik. Salah satu pupuk organik yang sangat mudah didapatkan yaitu dari sampah dapur. Pembuatan sampah dapur menjadi pupuk selain meyehatkan, bisa mengurangi pengeluaran dan bahkan juga bisa memberikan penghasilan tambahan. Dalam pengabdian kepada masyarakat ini, masyarakat diajak untuk menggunakan pupuk organik dan juga mengajarkan masyarakat bagaimana memproduksi sampah dapur dan bagaimana membuat sampah dapur tersebut bernilai ekonomi.

Analysis of Merchandise Inventory Turnover at Sumber Farma Bolu Pharmacy, Tallunglipu.This research is a quantitative descriptive study that aims to determine the system of recording incoming and outgoing goods at the Sumber Farma Bolu Pharmacy. The types of data used in this research are primary and secondary data. Data collection techniques were carried out by observation, interviews, and documentation.The results of this research are the level of inventory turnover at Sumber Farma Bolu Pharmacy for the type of patent medicine is about 12 times a year and classified as good due to the standard, while for the type of generic medicine is about 9 times a year and the turnover rate below the type of patent medicine. This is due to the accumulation of merchandise in the warehouse and also many merchandise are damaged and can no longer be sold (expire).