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The matcha cafe industry in Indonesia is experiencing rapid growth in line with increasing matcha consumption and the growth of matcha-based cafe brands. This growth has led to increasingly competitive competition in the beverage business sector. Feel Matcha, as the first matcha cafe in Indonesia, faces competitive pressure from various new brands such as Uki Matcha and Matchaboy. This study aims to determine the partial and simultaneous effects of Product Quality, User Generated Content, and Brand Image on the Purchase Intention of Feel Matcha consumers in DKI Jakarta. This is a quantitative study. The technique used to determine the population is non-probability sampling. The population in this study is all Feel Matcha consumers, the exact number of which is unknown. The sample used in this study consisted of 97 respondents, with accidental sampling and using the Lemeshow formula. In this study, the data were analyzed using SPSS version 26 and Microsoft Excel 2021. The results of this study indicate that Product Quality, User Generated Content, and Brand Image partially influence Purchase Intention.

The large number of fashion brands in Indonesia opens up opportunities for competition to create purchasing decisions. In the competitive world of fashion clothing, product quality and differentiation are the main keys in influencing consumer purchasing decisions. Kalula.Outfit must face pressure from GBS_Clothes and Maryam Outlet which offer more exclusive and innovative designs. This study aims to determine the Promotion, Location, and Service Quality Partially and Simultaneously on Purchasing Decisions of Kalula.Outfit consumers in West Jakarta. This type of research is quantitative. The technique for determining the population uses non-probability sampling. The population in this study is not known with certainty. Sampling uses the lemeshow formula. The sample used in this study was 97 respondents, with the accidental sampling questionnaire distribution method. In this study, the data were analyzed using the SPSS version 25 program and Microsoft Excel 2019. The results show that Promotion, Location, and Service Quality partially and simultaneously influence purchasing decisions.

This study aims to analyze the optimization of seaweed seedling inventory management using the Economic Order Quantity (EOQ) method to enhance cost efficiency for farmers in Tarakan City. The research employs a quantitative descriptive approach, integrating EOQ with forecasting techniques (Moving Average and Exponential Smoothing) to predict raw material needs accurately. Data were processed using Microsoft Excel and POM-QM for Windows to ensure precision. The results indicate that EOQ yields an optimal order quantity of 878 ropes per order, with a frequency of 6 orders per year, a reorder point of 16 ropes, and a total inventory cost (TIC) of IDR 842,681. Compared to traditional methods (TIC IDR 2,132,083), EOQ reduces costs by 60.5%. Forecasting analysis reveals that Exponential Smoothing (MAPE 19.67%) outperforms Moving Average (MAPE 22.5%) in accuracy. These findings highlight EOQ’s effectiveness in minimizing waste, preventing stockouts, and improving productivity. The study provides practical insights for coastal small-scale farmers and policymakers in the marine sector.

This study aims to determine the effect of price, service quality, consumer trust on usage decisions with customer satisfaction as a moderation for online transportation services, in this case Go Car. The population in this study are all customers who have used Go Car online transportation services. The sampling technique in this study was accidental sampling or accidental sampling so that there were 95 respondents. This study uses statistical tools, namely SmartPLS and Microsoft Excel as tabulation data processing. The results showed that during a pandemic, people chose to stay at home, and would only travel in very important conditions. So that consumer trust is one of the factors that can influence the decision to use Go Car online transportation services