Traditional markets are characterized by fast-paced and diverse transactions, necessitating a reliable product monitoring system to enhance the efficiency of stock management and transactions. This study develops a monitoring system based on a loadcell sensor and a TCS230 color sensor to automatically classify product weight and type. The loadcell is used to measure product weight with high accuracy, while the TCS230 detects the color characteristics of products to distinguish between different types of commodities, such as various varieties of chili peppers. The development process includes sensor calibration, dataset collection, and the training and evaluation of a classification model. Experimental results show that the classification accuracy exceeds 90%, demonstrating the effectiveness of combining weight and color data for market product recognition.

This research aims to identify factors that influence the formation of a clean and honest personality and to instill these values from an early age to form a positive character. The method used is a Systematic Literature Review (SLR), by investigating 30 journal articles published from 2020 - 2024. This research shows that strengthening the value of honesty must start from an early age through character education in families and schools, and is supported by government policies that are firmly against corrupt practices. The results of this research can be a basis for further research in this field and can help develop an understanding of the complexity of anti-corruption issues in Indonesia. Future research could focus on developing anti-corruption education strategies from an early age and evaluating the effectiveness of existing policies