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All Journal Jurnal Filsafat Indonesia
Mohamad Idris
Institut Teknologi Bandung
Education

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Kebenaran dalam Perspektif Filsafat Ilmu Pengetahuan dan Implementasi dalam Data Science dan Machine Leaning Mohamad Idris; Riza Ibnu Adam; Yulrio Brianorman; Rinaldi Munir; Dimitri Mahayana
Jurnal Filsafat Indonesia Vol. 5 No. 2 (2022)
Publisher : Undiksha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/jfi.v5i2.42207

Abstract

The development of data science or machine learning is experiencing swift growth. This development can become a pseudoscience due to the process of collecting, using algorithms, and processing data that are not per research standards. Machine learning is one of numerous artificial intelligence (AI) techniques that allow a machine to learn independently. Several machine learning implementations include consulting robots, process optimization, credit scoring, security, and services. Data science often uses supervised learning algorithms, which can be trapped intopseudoscience due to errors in the use and processing of data in research. The solution to avoid this is to apply the epistemological concept of Karl Popper, which is related to the falsification ofscience to solve the problem of demarcation. To enhance it, you can also use the principles of the Four Theory of Truth, namely coherence, correspondence, pragmatism, and consensus.
Co-Authors Dimitri Mahayana Menur Wahyu Pangestika, Beni Irawan,Yulrio Brianorman Rinaldi Munir Riza Ibnu Adam