The metaverse has emerged as a new domain within the digital economy, offering decentralized and participatory ecosystems driven by digital assets such as NFTs, tokens, and cryptocurrencies. Platforms like Decentraland, Roblox, and The Sandbox represent varied models of economic governance and user engagement. However, effective economic management strategies in these virtual environments remain underdeveloped. This study explores how the three platforms manage digital economies, focusing on asset governance, community incentives, and risk dynamics. Using an exploratory qualitative approach, data were collected through semi-structured interviews and document analysis, and then thematically analyzed using NVivo software. Results show decentraland emphasizes DAO-based transparency, Roblox relies on centralized monetization, and The Sandbox balances both in a hybrid model. The study concludes that successful economic strategies in the metaverse require integrating governance structures, incentive mechanisms, and social user interaction. These findings offer insights for building more adaptive, inclusive, and sustainable digital economic frameworks in virtual ecosystems.

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.

Mencari tahu bagaimana berbagai elemen bauran pemasaran memengaruhi kebahagiaan pasien dengan aplikasi Halodoc menjadi kekuatan pendorong penelitian ini. Teknik kuantitatif yang digunakan dalam pekerjaan ini meliputi analisis rute dan pendekatan serupa. Populasi penelitian adalah seluruh pengguna program Halodoc, sedangkan sampelnya berjumlah 168 responden. Metode pengumpulan data pada penelitian ini meliputi dokumentasi, angket, dan observasi langsung. Analisis regresi parsial yang sering disebut dengan Partial Least Square (PLS) digunakan untuk mengevaluasi hipotesis dalam penelitian ini. Pertama, produk tidak mempengaruhi kepuasan pasien terhadap Aplikasi Halodoc dengan cara, bentuk, atau bentuk apa pun; kedua, harga tidak mempengaruhi kepuasan pasien terhadap Aplikasi Halodoc dengan cara, bentuk, atau bentuk apa pun; ketiga, terdapat pengaruh yang signifikan terhadap kepuasan pasien terhadap Aplikasi Halodoc; dan keempat, promosi berpengaruh langsung terhadap kepuasan pasien terhadap Aplikasi Halodoc secara positif dan signifikan 

Manual jimpitan financial management in RT 03 RW 01 Ngaresrejo Village, Sidoarjo Regency faces problems of inaccurate recording and lack of transparency to residents. The purpose of this community service is to improve the efficiency and transparency of jimpitan financial management through training and implementation of a digital accounting recording system. The method used is the Asset-Based Community Development (ABCD) method and includes several stages such as identifying needs, preparing training materials, implementing workshops, and direct assistance in using the system. The results of this program show that RT administrators can use the digital system well, increasing the accuracy and transparency of financial reports. The main contribution of this program is the application of digital technology in community financial management, which has the potential to be a model for other RTs. This innovation not only simplifies the administrative process but also strengthens community trust in fund management.

This research employs a quantitative research methods to analyze the important role of Public relations (PR) in building brand equity and the existence of Wuling Air EV electric car products in Indonesia. In an era that increasingly emphasizes environmental issues, the automotive industry is turning to environmentally friendly vehicles such as electric cars. Wuling, as a newcomer in this market, faces challenges in building consumer trust and competing with established brands. Through effective PR strategies, such as media relations, digital campaigns, and active participation in social media, Wuling strives to increase brand awareness, positive image, and customer loyalty. With a focus on educating consumers about the benefits of electric vehicles, Wuling Air EV is expected to maintain and strengthen its position in the competitive automotive market.

Keberadaan pelatihan dan pengembangan karyawan menunjukkan bahwa organisasi tidak hanya memanfaatkan karyawan potensial, tetapi juga pada individu yang dapat berkomitmen untuk mencapai tingkat tanggung jawab yang lebih tinggi. Pelatihan dan pengembangan juga menjadi sangat berdampak terhadap kinerja, bila dari talenta karyawan yang paling diandalkan dalam suatu organisasi dengan melatih mereka dengan baik. Hasil kajian tehadap literatur yang meneliti pengaruh pelatihan dan pengembangan di berbagai sector industry, menegaskan bahwa kedua hal tersebut punya dampak yang cukup signifikan dalam mempengaruhi kompetensi serta kinerja karyawan, bahkan berpengaruh dalam peningkatan keduanya bila disertai dengan metode yang tepat sesuai kebutuhan individu setiap karyawan.