The ease of investing in the digital era has driven Generation Z to dominate stock market participation, particularly in blue-chip stocks such as PT Bank Rakyat Indonesia Tbk (BBRI). However, stock price fluctuations influenced by macroeconomic factors, regulations, and global market sentiment make it difficult for investors to make accurate decisions. Decisions based on insufficient information pose a significant risk of loss, especially for novice investors. This study proposes a hybrid LSTM-XGBoost approach for predicting BBRI stock prices, combining the strengths of LSTM in capturing nonlinear time series patterns and XGBoost's effectiveness in reducing prediction errors. The model leverages both historical data and feature extraction outputs from the LSTM model. Future stock price values are then predicted by XGBoost using this combined dataset. The Hybrid LSTM XGBoost model outperforms the individual base models in terms of prediction accuracy, achieving an RMSE of 117.89, MAE of 92.45, and MAPE of 2.21%.

With the rapid advancement of information technology, maintaining a stable and efficient computer network has become essential, particularly in educational settings. SMK Negeri 1 Surabaya encounters difficulties in managing its limited bandwidth because of the large number of users accessing the network simultaneously. This research focuses on applying bandwidth management through the Queue Tree technique combined with Per Connection Queuing (PCQ) on the school's computer network using Mikrotik hardware. The approach aims to enhance network performance by improving throughput, minimizing delays, and stabilizing jitter. Evaluation of Quality of Service (QoS) indicators—including throughput, packet loss, delay, and jitter—demonstrated favorable outcomes, with all metrics categorized as good. Findings confirm that using Queue Tree and PCQ methods contributes to fairer bandwidth distribution, mitigates network congestion, and improves overall network quality in the educational environment. This study offers a practical solution to support teaching and administrative processes by providing a more reliable and efficient network infrastructure.

Every country has distinctive characteristics that become selling points in terms of economy and infrastructure, including small regions such as districts, sub-districts, villages, and hamlets that need to be developed to be more widely known. These distinctive values, including natural potential, plantation products, micro-businesses, tourism sectors, and arts, are important for regional existence. Carangwulung Village in Wonosalam Sub-district, Jombang Regency, has high natural potential such as durian, salak and coffee. Located in the highlands, the village excels in plantations. The tourism sector stands out with its beautiful environment and friendly people, making it an ideal destination for tourists. Plantation products are processed into high-value products through MSME businesses that prioritize quality. Arts potential, such as Gamelan, Jaranan, and Remo Dance, are also preserved. The community service program focused on the development of arts and tourism in Carangwulung Village, including the "Selepas Senja" art performance and tourism. The research used a qualitative descriptive methodology, collecting data through observation, interviews and FGDs. The findings show the importance of preserving and promoting local coffee culture and traditional arts to attract tourists. The eco-tour involved 10 UPN "Veteran" East Java students and the local community.