Candrasari Hermanto, Diwahana Mutiara
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Penerapan Metode Komparasi Probabilitas Penentuan Penyakit Jantung Joyopranoto, Vincensius Agung Wibowo; Rahardjo, Mikha El Charisto; Baraga, Bernaditus Yordan; Candrasari Hermanto, Diwahana Mutiara
Joined Journal (Journal of Informatics Education) Vol 7 No 1 (2024): Volume 7 Nomor 1 (2024)
Publisher : Universitas Ivet

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31331/joined.v7i1.3108

Abstract

Heart disease, a major global cause of mortality, necessitates a swift and precise diagnostic approach for effective prevention and management. In the era of information technology, probabilistic comparison methods such as Naïve Bayes and KNN offer a fresh perspective on assessing the risk and diagnosis of heart disease. This research, based on a dataset of 300 records with 14 attributes indicating the presence of heart disease, implements and compares these algorithms. The study reveals that Naïve Bayes, with or without normalization, achieves an accuracy of 92.67%, while normalized KNN outperforms with 93.33% accuracy, compared to 79.33% without normalization. Conclusively, the study supports the significant potential of probabilistic data analysis methods, emphasizing the integration of these techniques in the healthcare system for more accurate risk classification, early detection, and efficient management of heart disease.
The Application of Technology-Organization-Environment Framework to Analyze SME Readiness in Using Digital Payment Applications K. Pramudito, Dendy; Achmady, Sayed; Ratna Tungga Dewa, Dominica Maria; Pitri, Tedi; Candrasari Hermanto, Diwahana Mutiara
Jurnal Informasi dan Teknologi 2023, Vol. 5, No. 3
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60083/jidt.v5i3.406

Abstract

The purpose of this study is to identify the variables that affect SMEs' preparedness to use e-wallets. This study employed a quantitative methodology. This method falls under the experimental research category. Questionnaires were used as the instrument of choice for gathering data. The study's target population consists of SMEs who have made payments using e-wallets. Purposive sampling was the method employed, and 200 samples total were collected. SmartPLS software was used in the data analysis for this study. At this point, the outer model and the inner model were the subjects of two analyses. SMEs are prepared to use e-wallets as a payment method, which is influenced by organizational, technological, and environmental factors, according to the discussion's findings. The most dominant factor influencing SMEs' intentions to use e-wallets is technology. This is followed by organization and the environment. Of the six hypotheses proposed, one was rejected, and the other five were accepted with a significant positive relationship. The hypothesis that is rejected is that environment affects organization. This is because the organizational structure is not yet perfect, causing existing organizational factors not to be determined by competitive pressure or the influence of service providers and partners. The hypothesis that has the greatest influence is that the environment influences technology. The higher the level of perceived pressure from competitors and support from service providers and partners, the higher the organization's intention to use technology.