This study aims to develop the Sido Makmur Village information website to improve the quality of public services, expand access to information, and encourage community participation in village development. The research employed a descriptive qualitative approach, with data collected through in-depth interviews, participatory observation, and documentation. Data analysis used an interactive model consisting of data reduction, data presentation, and inductive conclusion drawing. The results showed that the development of the village website had a positive impact on administrative service efficiency, faster information delivery, and increased citizen engagement, particularly among the younger generation. The website also served as a strategic platform for documenting activities, presenting financial reports, and promoting village potential more widely. Despite challenges such as limited digital infrastructure and technical capacity of human resources, the desa-sidomakmur.com website proved to be an innovative solution in strengthening transparent and participatory village governance based on information technology.

The digital divide, resulting from economic limitations in accessing the internet, is a significant problem in many communities, including Pujorahayu Village. This research aims to design and implement a router-based Wireless Internet Service Provider (WISP) network as an affordable communal solution. The methodology employed is the Network Development Life Cycle (NDLC), which was applied to ten households utilizing TP-Link WR845N routers in WISP mode connected to a single primary internet source. The implementation results indicate that the WISP network successfully provides stable and economic internet access, while also positively fostering participation and a spirit of digital collaboration among residents. Nevertheless, several operational challenges were identified, such as limited signal range and potential bandwidth saturation during peak hours. Based on these findings, this research concludes that the solution is technically and socially viable. Further development of a bandwidth management system, the use of additional devices for coverage expansion, and the establishment of a transparent and sustainable communal management model are recommended. The implementation of this model can be replicated in other regions to support equitable internet access and strengthen digital inclusion on a national scale.
 

This study examines the problem of the success rate of computer course program participants at LKP Mitra Prestasi which is still an obstacle for institutional administrators. By applying a hybrid model approach in machine learning, which combines Random Forest and Long Short-Term Memory (LSTM) algorithms through the assembly merging technique, this study aims to develop a predictive model that is able to estimate the success rate of participants and recognize variables that contribute to the achievement of learning outcomes. The probability outputs from both models are used as an input feature for the Logistic Regression meta-classifier that studies the optimal combination of predictions to produce final graduation decisions. This approach leverages the Random Forest's advantages in recognizing static features and LSTM in recognizing temporal patterns. Research data was obtained from 100 course participants which included demographic information, academic performance, as well as data on the order of attendance and assignment submission. The research findings show that the hybrid model with the stacking ensemble built succeeded in achieving 95% accuracy, 95% precision, 100% recall, and 97.44% F1 score, with the main variables affecting graduation being final exam scores, attendance percentage, and accuracy of assignment submission.