Sentimen Analysis Social Media for Disaster using Naïve Bayes and IndoBERT

The rapid advancement of information and communication technology has resulted in a significant surge in data, especially text data from social media platforms. This paper presents a sentiment analysis approach using IndoBERT and Naïve Bayes algorithms to classify sentiment related to natural disasters, specifically from a dataset of tweets derived from social media platform X. The focus of this research is to categorize tweets as positive and negative sentiment to provide useful insights in improving disaster response and management, with a focus on tweets related to earthquakes, floods, and the eruption of Mount Merapi. The goal is to assist the government in allocating aid more efficiently and understanding public sentiment during disasters. The methodology used includes data collection, data preparation, labeling, categorization, word weighting using tf-idf, data separation, and classification using Naïve Bayes and IndoBERT algorithms. The results showed that IndoBERT achieved 91% accuracy, while Naïve Bayes achieved 74% accuracy. The study highlights the potential of sentiment analysis in improving disaster preparedness and more effective response strategies

Identifikasi Kerusakan Pada Landing Gear Pesawat Cessna C208B

One type of aircraft commonly used for flight training, patrol, and transportation in remote areas is the Cessna. It should be understood that each tool and component in the aircraft has its own level of importance and can experience failures in carrying out its functions. These failures often become a problem for users due to a limited understanding of the aircraft engine field. Issues arising from the aircraft's landing gear sometimes involve minor problems that do Does not require a high level of expertise. To solve this, it may be possible for someone with knowledge of landing gear to address the issue. By using the Case-Based Reasoning (CBR) method for fault identification, a technician's expertise in aircraft landing gear can be applied and integrated. The search for solutions or fault identification Can be obtained promptly In the testing results of the Fault System for Cessna C208B Aircraft Landing Gear using the CBR method, the system's calculations were consistent with the manual. However, the application still has some shortcomings in the system, such as the preprocessing stage, which has not been able to search for the root words in a question sentence

Physics Learning in Secondary Schools by Sea Water Purification Devices Using Solar Panels: Systematic Literature Review

There are several ways to purify sea water to make it suitable for use, one of which is:is through a purification process by utilizing solar energy. Apart from being cheap, this energy is also renewable and highly available abundant in tropical areas. Solar energy is an important component for Human survival because human life activities are very dependent on energy availability. This research examines solar panel-based sea water purification devices as a physics learning medium in secondary schools. Using the Systematic Literature Review (SLR) method, this research analyzes various studies on the development of sea water purification equipment that utilizes solar panels. This study highlights relevant physical material such as thermodynamics and renewable energy, which is used as a basis for developing sea water purification devices using solar panels. In addition, this research identifies variations in the tools and materials used in the desalination process, as well as the application of these tools in the context of physics learning