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Sustainable Development Goals (SDGs) is one of the world's programs to overcome several problems that are currently the world's issues. The world's issues that want to be addressed include: eliminating poverty, eliminating hunger, building good health and well-being, providing quality education, enforcing gender equality, improving clean water and sanitation, growing affordable and clean energy, creating decent work and growth. economy, improve industry, innovation and infrastructure, reduce inequality, mobilize sustainable cities and communities, influence responsible consumption and production, regulate climate action, promote life under water, advance life on land, ensure peace, justice and strong institutions , build partnerships to achieve goals. The target of seventeen components that will be completed in the world is planned to be achieved in 2030. All components that become world problems will be used as part of the target in this research. One of the research focuses is the economic component. The data obtained in Selong District, especially the economic component, will be managed and processed using the Naive Bayes algorithm. After processing the data using the Naive Bayes algorithm, the accuracy rate of closeness to the real situation is 93.45%. From the data obtained 93.45% or 0.9345 x the amount of data (kk) = 0.9345 x 1130 kk = 1056 families which shows the community is prosperous and 6.55% x 1130 = 74 families which states that people are not prosperous and can used as a reference in poverty alleviation through programs launched by the government.

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Pengaruh Pertumbuhan Ekonomi Terhadap Tingkat Kesejahteraan Masyarakat Kecamatan Selong Kabupaten Lombok Timur – Nusa Tenggara Barat Menggunakan Algoritma Naive Bayes