Retail investment in emerging markets has experienced rapid growth, driven by technological advancements and increasing public awareness of financial management. However, behavioral biases often influence retail investment decision-making, such as overconfidence and herding, which can undermine portfolio performance. This study aims to identify the key behavioral biases affecting retail investors' decision-making in emerging markets and analyze their impact on investment performance. A mixed-methods approach was employed, combining a quantitative survey of 200 retail investors with in-depth interviews to gain qualitative insights. The results reveal that overconfidence bias dominates, with a prevalence of 70%, followed by herding bias at 50%, anchoring at 40%, and loss aversion at 60%. Overconfidence bias showed a significant positive correlation with investment returns (r = 0.65, p < 0.01), while herding (r = -0.48, p < 0.03), anchoring (r = -0.35, p < 0.05), and loss aversion (r = -0.60, p < 0.02) had negative impacts on portfolio performance. This research contributes to the behavioral finance literature by highlighting the unique conditions of emerging markets, such as low financial literacy and limited access to information, which exacerbate the effects of behavioral biases. As a practical implication, the development of behavioral finance-based educational programs is recommended to help investors understand and manage these biases. Furthermore, future research is encouraged to explore the use of alternative data, such as social media, to monitor behavioral trends in real-time

This study aims to develop a fuel inventory control system so that it can facilitate monitoring the volume of fuel stock from each bunker ship and can be reported at any time, so that the leadership can estimate the addition of fuel orders to PT. Pertamina for each bunker ship that is adjusted to the incoming fuel request order. If there is a sudden fuel order by the customer, the company can still serve the customer well, so that the fuel stock can be controlled and can be monitored properly at any time.
The research method used in the information system monitoring the pump fabrication process is Research and Development (R&D) in this study only until the 6th (sixth) stage and produces the final product in the form of a prototype, so it does not reach the product implementation stage. The six steps are Research and information collecting, Planning, Develop preliminary form of product, Preliminary field testing, Main product revision and Main field testing. This application is made using Macromedia Dream Weaver and MySQL database.