In recent years, retail investor participation in Southeast Asian capital markets has surged, contributing to increased market volatility and making sentiment analysis a critical factor in understanding price dynamics. This study investigates the relationship between social media sentiment and stock market fluctuations by focusing on Twitter data during periods of market volatility in Indonesia, Thailand, and Malaysia. The objective is to examine how collective investor emotions, as expressed through social media, correlate with daily stock index movements. Employing an exploratory quantitative approach, the study integrates Natural Language Processing (NLP) methods, both lexicon-based tools such as VADER and advanced transformer-based models like BERT and GPT, to classify over 150,000 tweets into positive, negative, and neutral sentiments. Sentiment scores were then aggregated and statistically tested using Pearson correlation with daily stock index returns, specifically the IDX Composite, SET Index, and FTSE Bursa Malaysia. The findings reveal a significant negative correlation between negative sentiment and market returns, particularly in the IDX Composite (r = -0.61, p < 0.05), indicating that pessimistic sentiment is associated with market downturns. Thailand’s SET Index and Malaysia’s FTSE Index showed moderate to weak negative correlations, with r = -0.43 and r = -0.27, respectively. These results highlight the sensitivity of emerging markets to emotionally driven retail behavior. The study concludes that AI-based sentiment analysis offers a valuable early warning tool for market volatility and can complement traditional financial indicators. It recommends developing AI-based sentiment dashboards and enhancing digital financial literacy to mitigate emotional reactivity among retail investors.

Chinese Betel Plant (Paperomia pellucida) is an herbal plant that has benefits for treating diseases such as acne, ulcers, antidiabetic, antioxidant, anti-inflammatory, antimicrobial, and antibacterial. The content of bioactive compounds from Chinese betel include alkaloids, flavonoids, steroids, saponins, tannins, triterpenoids, and carbohydrates. The aim The purpose of this study was to determine the effect of steeping Chinese betel and  on reducing blood glucose levels in male mice. This method used is an experimental method at the Pharmacology Laboratory D3 Pharmacy FMIPA Bengkulu University. The test animals used were three groups, namely the positive control treatment group that received glibenclamide, the negative control treatment group received aquadest, and the 2% Chinese betel steeping treatment group. The results showed that Chinese betel curd was reduced from 125 mg/dl to 93 mg/dl and there was no hypoglycemic decrease in blood glucose due to glibenclamide. From the results of the study it can be concluded that the administration of Chinese betel and glibenclamide steeping is effective in lowering blood glucose levels in male mice.