ANALYSIS OF ADDITION THE NUMBER OF HALF CIRCLE TYPE SLOT ON PERFORMANCE CHARACTERISTICS OF DISC CONDUCTOR EDDY CURRENT BRAKE

Brake is a vital component of a vehicle, particularly for motor vehicles. One of the braking used the principle of Eddy Current Brake by utilizing electromagnetic. Eddy Current Brake is a braking technology without direct contact by utilizing eddy currents. Eddy Current Brake performance can be influenced by several factors, one of them is the surface shape of the disc conductor. Using finite element simulation, this research examines the impact of increasing the number of slot half-circles on the performance of the Eddy Current Brake with the number of slot changes. Variations number of slots that used are 6, 8, 10, and 12 slots. The result of this study obtained the best braking torque value in the variation with the number of 10 slots at a rotational speed of 450 rpm with a 15,930 Nm torque value. The addition slots of the number of half-circle types have a less significant effect on the torque from the simulation

Simulasi Life Cycle Assessment (LCA) Proses Produksi Gula di Brazil dengan OpenLCA

Sugar is one of the most important agricultural commodities for mankind. Brazil is one of the largest sugar cane producers in the world, so dosing environmental impacts on the sugar production process in Brazil can be a reference for other countries. In addition to increasing environmental awareness, the sugar industry must also use environmentally friendly and sustainable processes. The Life Cycle Assessment (LCA) is one of the most important methods for measuring the environmental impact of a process. The aim of this study is to measure the environmental impact of the sugar production process in Brazil. LCA simulations are carried out with the OpenLCA software, which is equipped with an ecoinvent database. The scope of the life cycle assessment simulation includes the planting of sugar cane in the process of sugar production (cradle to gate). The results of the environmental impact assessment show the value of the global warming potential (GWP) of 304.73 kg CO2 equivalent per ton of sugar products. From this value, the bigest contribution to the GWP is the sugar milling process, which is 1544 kg CO2 equivalent per ton of sugar products. The plantation sector now contributes -2681 kg CO2 per ton of sugar products, as it plays a role in absorbing CO2 in the environment for sugar cane growth

Web-based Sentiment Analysis System Using SVM and TF-IDF with Statistical Feature

Social media's tendency for instant reactions can be harnessed by companies and organizations to gather feedback. Nevertheless, effectively analyzing vast amounts of social media data poses a challenge. This issue can be addressed through the use of sentiment analysis technology. In this study, a sentiment analysis model is developed, employing Support Vector Machine (SVM) and Term Frequency-Inverse Document Frequency (TF-IDF) algorithms. The study aims to investigate the impact of feature engineering on TF-IDF, by incorporating statistical features into the SVM model's sentiment analysis performance. The experimental results reveal that the prediction model utilizing the conventional TFIDF approach achieves an SVM model with an F-measure score of 84.55%. Through the implementation of feature engineering, by adding max, min, and sum features, the model's performance shows a noticeable improvement, with an increase of 0.65% in the F-measure score difference. Consequently, the proposed feature engineering method positively enhances the capability of the SVM-based sentiment analysis model. To facilitate the acquisition of sentiment analysis results through user interfaces, the trained SVM model is integrated into a web-based sentiment analysis application. By doing so, the findings of this study contribute to streamlining the process of obtaining sentiment analysis results from social media data