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359.348  Articles
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When designing a statistical model, applied researchers strive to make the model consistent, unbiased, and efficient. Labor productivity is an important economic indicator that is closely linked to economic growth, competitiveness, and living standards wi... see more

Telkominfra's business is growing with large projects with a high level of complexity making it difficult to process data. Data processing process starting from exporting, filtering data, analyzing data, and making data visualization is still done using e... see more

Setiap perusahaan membutuhkan rantai pasok yang efisien dalam memenuhi permintaan konsumen, petani kopi adalah elemen yang sangat penting dalam rantai pasok kopi sebagai pemasok. Jika pemasok yang baik tidak dipilih, semua upaya rantai pasok lainnya akan ... see more

Risk analysis is important in heterogeneous industrial domains to enable sustainable development. Data is the basis for emphasizing the potential risk elements for improving efficiency, quality, and safety. For supplying safe routes to schools based on ri... see more

Indonesian General Analysis Dataset is a dataset sourced from social media twitter by using keywords in the form of conjunctions to get a dataset that does not only focus on a particular topic. The use of Indonesian language datasets with general topics c... see more

Intelligent agriculture can renovate agricultural production and management, making agricultural production truly scientific and efficient. The existing data mining technology for agricultural information is powerful and professional. But the technology i... see more

This study measured and analyzed the determinants of banking efficiency for commercial banks in Indonesia using the Two-Stage Data Envelopment Analysis approach within 2015-2019 period. The object in this study is commercial banks which are included in th... see more

 This study was conducted to measure and compare the values ??of accuracy, precision, and recall, from the rapid miner and weka data mining applications by comparing the value of the confusion matrix, the application of the confusion matrix method wa... see more

Multicollinearity is a relationship or correlation between predictor variables. Multicollinearity can also occur in longitudinal data, which is a combination of cross-section data and time-series data. The impact of multicollinearity causes the influence ... see more

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