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All Journal Jurnal EduHealth Jurnal Komputer Indonesia (JU-KOMI)
Sari Siregar
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Computer Science & IT Electrical & Electronics Engineering Engineering Health Professions Library & Information Science Mechanical Engineering Public Health Veterinary

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Implementation of C4.5 Algorithm for Disease Classification: Literature Review Sari Siregar
Jurnal Komputer Indonesia (Ju-Komi) Vol. 2 No. 02 (2024): Jurnal Komputer Indonesia (JU-KOMI), April 2024
Publisher : SEAN Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58471/ju-komi.v2i02.585

Abstract

Several studies have shown that the C4.5 algorithm is capable of achieving a high level of accuracy in diagnosing various diseases. For example, a study by Konstas et al. (2010) showed that the C4.5 algorithm was capable of achieving an accuracy level of 89% in diagnosing coronary heart disease. This study aims to discuss the application of the C4.5 Algorithm in disease classification as has been done by previous studies. This study is a literature review, which includes references related to the cases or problems identified. The author uses data from a literature study, a method used to collect data or sources related to the topic discussed in a study. The results of this Algorithm literature review can help doctors diagnose diseases more quickly, accurately, and efficiently. However, it is important to remember that the C4.5 algorithm is only a tool, and cannot replace the diagnosis of a professional doctor.
Application of the TOPSIS Method (Technique for Order Preference by Similarity to Ideal Solution) in Product Selection Rosa, Rosa; Sari Siregar
Jurnal Komputer Indonesia (Ju-Komi) Vol. 3 No. 01 (2024): Jurnal Komputer Indonesia (JU-KOMI), Oktober 2024
Publisher : SEAN Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58471/ju-komi.v3i01.586

Abstract

In an era of increasingly fierce business competition, the right product selection is one of the company's successes. The TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) method offers a systematic approach to evaluate various product alternatives based on predetermined criteria. This research aims to apply the TOPSIS method in product selection, focusing on factors such as price, quality, and features. The results of the analysis show that this method improves the efficiency and objectivity of decision-making, allowing companies to identify the best products that are close to the ideal solution. In addition, the use of TOPSIS also increases the transparency of the evaluation process, supports adaptation to market changes, and assists companies in achieving competitive advantage. These findings confirm the importance of the TOPSIS method as a tool for intelligent, data-driven decision-making in a dynamic business context.  
Investigation Factors Affecting Elderly Awareness of Smoking Stopping Helprida Sihite; Sari Siregar; Nova Sontry Node Siregar; Debora N Simamora; Fransiska Debataraja
Jurnal EduHealth Vol. 14 No. 04 (2023): Jurnal eduHealt, 2023, December
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Smoking behavior remains a global health issue due to its connection to various diseases and even death. Understanding the factors influencing elderly awareness to quit smoking is crucial for public health interventions. A study conducted in Bonan Dolok I Village, Sijamapolang District, Humbang Hasundutan Regency, aimed to analyze factors affecting the elderly's awareness to quit smoking. The factors explored included knowledge, sources of information, age, work, and family support. The study used a cross-sectional design with an analytic descriptive quantitative approach and involved 41 elderly men in the village. The results showed that 85.4% of the participants had good knowledge, 87.8% had a good source of information, 87.8% had good family support, and 90.2% were aged between 60 and 79 years. The Chi-Square test revealed no significant relationship between knowledge factors, sources of information, family support, age, occupation, and elderly awareness to stop smoking (P> 0.05). Based on these findings, the study concluded that factors such as knowledge, sources of information, family support, age, and work do not significantly affect the awareness of the elderly to stop smoking in the village of Bonan Dolok I. It is recommended for further research to consider other factors such as personal motivation, mental health, and social influence in designing interventions to increase awareness of stopping smoking in the elderly population
Co-Authors Debora N Simamora Fransiska Debataraja Helprida Sihite Nova Sontry Node Siregar Rosa, Rosa