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All Journal Jurnal Mantik
Muh Yusuf
University Pejuang Republik Indonesia, Makassar, Indonesia
Computer Science & IT Economics, Econometrics & Finance Languange, Linguistic, Communication & Media

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Left vertical segmentation of 2-D heart MRI images using U-net network Rachmat Rachmat; Kasmawaru Kasmawaru; Muh. Rafli R; Muh Yusuf; Muh Fahmi Basmar
Jurnal Mantik Vol. 7 No. 3 (2023): November: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.v7i3.4306

Abstract

Medical image processing has benefited greatly from advances in artificial intelligence, especially through the use of artificial neural networks. U-Net is an artificial neural network architecture that has proven successful in medical image segmentation tasks. Therefore, this study aims to combine the power of U-Net networks with 2-D cardiac MRI images to achieve accurate and automatic left vertical segmentation of the heart. By having a tool that can automatically segment the left vertical heart, doctors and researchers will be able to save valuable time in medical image analysis, while increasing accuracy and consistency in the assessment of heart structure. The results of this research will contribute to technological developments in the field of cardiovascular medicine and improve the care of patients with heart disease. Based on the work that was done and the results that were reported in Tabel I, the accuracy at the time of validation for full heart coroners, core heart coroners, and augmenting heart coroners was, respectively, 90.22%.
Analysis of vegetable purchasing patterns in supermarkets using association rule Kasmawaru Kasmawaru; Imran Djafar; Muh Rafli R; Rachmat Rasyid; Muh Yusuf
Jurnal Mantik Vol. 7 No. 3 (2023): November: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.v7i3.4336

Abstract

One data mining technique for identifying associative rules between a set of elements is association analysis, often known as association rule mining. Understanding the likelihood that a consumer will purchase bread and milk together is an example of an associative rule from examining purchases made in a supermarket. Supermarket operators can use this information to plan their product placement or create marketing campaigns that use discount coupons for specific product pairings. The use of association analysis to examine the contents of supermarket shopping baskets helped make it well-known. Another name for association analysis is market basket analysis. Perform a multiplication of the numerous rules acquired by Support and Confidence, where the latter should be at least 80%.
Co-Authors Djafar, Imran Kasmawaru Kasmawaru Kasmawaru Kasmawaru Muh Fahmi Basmar Muh Rafli R Muh. Rafli R Rachmat Rachmat Rachmat Rasyid