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This study proposes the integration of a Hybrid Recommendation method (combining Content-Based and Collaborative Filtering) with Random Forest Regression (RFR) to improve the accuracy of stay duration prediction in web-based boarding house booking systems. The main issue in online boarding booking systems is the inaccuracy of predicting user stay duration, affecting room allocation efficiency and customer satisfaction. The dataset was sourced from the hotel sector due to its attribute similarities and data validity. The research process includes data preprocessing (missing value imputation, normalization, and one-hot encoding), temporal and contextual feature engineering, hybrid recommendation system construction with CBF and CF score weighting, and RFR model training optimized through Grid Search and 10-fold cross-validation. Evaluation was conducted using MAE, RMSE, R² metrics, as well as recommendation metrics such as Precision@5, Recall@5, and Mean Reciprocal Rank (MRR). Results show that this integrated model achieved an R² of 0.7239 and an MAE of 1.0537 days, as well as a Precision@5 of 0.9636. This integration proves effective in improving prediction accuracy and recommendation relevance and contributes to the development of AI-based intelligent systems in the accommodation domain.

Tourism plays an important role in the economic growth of Bengkalis District, but limited access to hotel and lodging information poses challenges for travelers. This study develops a mobile application to simplify accommodation searches with a feature that finds the nearest route using the A* algorithm. The algorithm calculates the optimal route based on selected transportation options, such as walking, motorbike, or car, making travel more efficient. Testing results show that the A* algorithm provides more accurate routes compared to conventional methods, with an average response time of 4.9 seconds and 95% accuracy, compared to Google Maps, which has a response time of 6.2 seconds and 90% accuracy. This app also provides information about hotel facilities, prices, and contact details, helping travelers choose accommodations. With this application, travelers can quickly find accommodations, while hotel managers gain increased visibility. This research supports Bengkalis' tourism sector with a technology-based solution that facilitates information access and trip planning. Future updates may include booking and payment features to enhance the app's functionality.

This study aims to analyse the increase in Harper Hotel revenue to Medan City's local revenue. There is a dependent variable, namely the Regional Original Revenue of Medan City, and two independent variables, namely lodging and other hotel revenue. This research uses primary data by conducting direct data searches on the management of Harper Hotel. The data analysis model in this study uses multiple linear regression. The results showed that the Lodging Revenue and Other Revenue Variables had a significant effect on Regional Original Revenue in Medan City.

Riko Prayudi. This study aims to analyze the DPMPTSP Strategy Formulation in Planning Tourism Investments in Prabumulih City. The study used qualitative methods with data collection, namely observation, interviews and documentation. The results show that from the aspect of vision and mission, it can be guaranteed that the Office of Investment and One Stop Integrated Services (DPMPTSP) of Prabumulih city has tried to realize the vision that has been set by carrying out several missions that have been determined. Identification of External Opportunities and Threats of an Organization From the Aspects of Identification and External Threats An organization can open that there are still many opportunities for Prabumulih City to develop but also many future threats if the Prabumulih City DPMPTSP does not improve and does not adapt to the times. From the aspect of Awareness of the Strengths of Internal Strengths and Weaknesses, it can be said that there is tourism potential and hotels that can support investment into Prabumulih city, while the weakness is in the minimal natural tourism potential and the problem of weak human resources. From the aspect of Long-Term Determination that the long-term goal of what DPMPTSP wants to achieve in planning tourism investment in Prabumulih City is to make Prabumulih city a developed city and then increase the economic growth of the Prabumulih City community. From the aspect of Searching for Alternative Strategies, it can be said that the strategic plan has been implemented properly through the vision, mission and goals that have been set so that it is easier to realize what is the hope of making Prabumih City Prima.

Students at SMA Negeri 1 Central Bengkulu are still dominated by the manual method, namely taking student absences by recording them on paper which will later be summarized from each student's attendance data. Because the manual recap of student attendance data also affects the information about attendance recaps which is still limited to the school, so parents/guardians cannot monitor student attendance levels. Inconsistency in attendance data can be detrimental to students, there is often a difference between the absences listed in the attendance register book/record into the system, which is one of the factors that makes the original data and data that have been verified into the system different. Utilizing the location of an Android smartphone to become an attendance system, which functions to provide location information based on the user's nearest location, assisting in searching for locations based on 6 existing parameters, namely education (high school/vocational school/university), hospital, hotel, restaurant, tourist attraction , and malls/traditional markets. It is hoped that this application will always be up to date so that this application follows developments in Android-based lecturer/teacher attendance information technology using the Flutter framework.