Stakeholders widely use sentiment analysis in assessing sentiment towards an object. In this research, the object to be taken is sentiment analysis of political figures for the 2024 presidential candidate which is being widely discussed by netizens, especially on Twitter. The issues raised are regarding the performance measurement of an algorithm in classifying sentiments, some algorithms often need a higher level of accuracy. This study aims to improve performance measures from previous studies using the Naïve Bayes algorithm which has a fairly low level of accuracy, and in this study the SVM algorithm was used. This study takes Twitter data related to presidential candidates to see public opinion for each presidential candidate. The data taken was Twitter data with the keywords Ganjar, Anies, Prabowo totaling 8,959 data taken on October 17-25 2022. The results of the test concluded that the SVM algorithm has a performance measure or quite high accuracy compared to the Naïve Bayes algorithm in previous studies only of 73.86% while the SVM algorithm gets an average accuracy value of 98.61%, namely the Ganjar Pranowo dataset, then 98.81% precision, 99.79% recall. And for the proportion of sentiment, the positive sentiment obtained by Ganjar was higher than the other presidential candidates, namely 55%, Prabowo 30% and Anies 15%, while Anies' negative sentiment was 89% higher than Ganjar 8% and Prabowo 3%.

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Micro, small business is one of the businesses that can empower the community in the field of small and micro businesses, but along with the growing number of SMEs in Karawang Regency, support is needed so that business actors can develop the businesses they run, it is hoped that the business actors will not be too immediately to fulfill everyday life. For this reason, the Karawang Regency Government needs to obtain business information that is run by business actors. The author's goal in conducting this research is to make an application for a management information system for empowering micro-enterprises in Karawang Regency. The system development method used is the waterfall method to create a visual design using the Unified Modeling Language (UML). With this system, it is hoped that it will be able to publish micro business profile information along with the products or services sold by business actors, so that it can help inform the through online media to the wider community, with the hope of increasing turnover and income and also Making a micro business management information system application will make it easier data management of micro business actors in Karawang Regency which can be used to determine policies for stakeholders.