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All Journal Scientific Journal of Informatics Journal of Soft Computing Exploration Journal of Student Research Exploration Scientific Journal of Informatics
Muzayanah, Rini
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering

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Journal : Journal of Student Research Exploration

 1 
Classification of risk of death from heart disease or cigarette influence using the k-nearest neighbors (KNN) method Fadhilah, Muhammad Syafiq; Muzayanah, Rini
Journal of Student Research Exploration Vol. 2 No. 2: July 2024
Publisher : SHM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52465/josre.v2i2.359

Abstract

Heart disease is one of the leading causes of death in Indonesia. In addition to coronary heart disease, smoking is the leading contributor to the death rate in Indonesia. This study aims to analyze the risk of death with the main variables of heart disease history and smoking history. This study classifies the risk of death of heart disease sufferers and smokers using the KNearest Neighbors (KNN) algorithm. The results showed that the KNN model had an accuracy of 52.38% in predicting the risk of death of smokers and heart disease patients. Confusion matrix analysis revealed that the model performed well in predicting classes 0 and 2, but had difficulty in predicting class 1. This study shows that KNN can be used to predict the risk of death of smokers and patients with heart disease with a satisfactory success rate.
Application of the greedy algorithm to maximize advantages of cutting steel bars in the factory construction Muzayanah, Rini; Tama, Endi Adika
Journal of Student Research Exploration Vol. 1 No. 1: January 2023
Publisher : SHM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52465/josre.v1i1.112

Abstract

Indonesia is one of the countries that is currently exuberant with development issues in order to balance the ongoing process of global modernization. In the infrastructure development process, the developer will enter into a contract with the contractor. This study aims to analyze the performance of the greedy algorithm in optimizing steel cutting with maximum profit to construction companies. The methods used include literature studies, program design, and program trials where the algorithm used is a greedy one. From the results obtained, it is evident that the Greedy algorithm can provide optimal steel cutting solutions because it works by calculating and deviating from all available separation settings, so there is no need to recalculate if the program performs that step.
Co-Authors Aggarwal, Mukul Ali, Muazam Awaliyah, Desi Adrianti Budi Prasetiyo Budi Prasetiyo, Budi Endang Sugiharti, Endang Fadhilah, Muhammad Syafiq Jumanto Jumanto, Jumanto Lestari, Apri Dwi Listiana, Eka Mishra, Shashank Much Aziz Muslim Pertiwi, Dwika Ananda Agustina Sharma, Yashika Tama, Endi Adika Yadav, Shivam