Effect of health education using demonstration media for breast self-examination motivation for women in preventing breast cancer

Putri, Desy Fadilah Adina

doi:10.29303/jpm.v17i5.3993

Cited by 2 publications

(2 citation statements)

References 16 publications

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“…In Indonesia, the type of disease that often attacks the breasts of women resulting in death is breast cancer (Widiana & Irawan, 2020). 16.6% of Indonesia's 396,914 new instances of cancer, or 68,858 new cases, were breast cancer (Fadilah et al, 2022). More than 22,000 deaths were reported during this time.…”

Section: Introductionmentioning

confidence: 99%

Standardscaler's Potential in Enhancing Breast Cancer Accuracy Using Machine Learning

Aldi,

Hadi,

Rahmi

et al. 2023

JAETS

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The major consequence of breast cancer is death. It has been proven in many studies that machine learning techniques are more efficient in diagnosing breast cancer. These algorithms have also been used to estimate a person's likelihood of surviving breast cancer. In this study, we employed machine learning algorithms to predict breast cancer. A total of 569 breast cancer datasets were obtained from kaggle sites. Some of the machine learning algorithms that we use are K-Nearest Neighbor (KNN), besides Random Forest (RF), there is also Gradient Boosting (GB), then Gaussian Naive Bayes (GNB), Vector Support Machine (SVM), and then Logistic Regression (LR). Before algorithms were used to train and test breast cancer datasets, StandardScaler was leveraged to transform training datasets and test datasets for improved algorithm performance. As a result of this utilization, the performance measurement carried out succeeded in producing high accuracy. The highest results were obtained from the Logistic Regression algorithm with an accuracy value of 99%. The value of precison is 99% benign, and 100% malignant. The recall results are 100% benign, and 98% malignant. The F1-Score results show 99% benign, and 99% malignant. It is hoped that this research can help the medical party to determine the next step in dealing with breast cancer.

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Section: Introductionmentioning

confidence: 99%

Standardscaler's Potential in Enhancing Breast Cancer Accuracy Using Machine Learning

Aldi,

Hadi,

Rahmi

et al. 2023

JAETS

View full text Add to dashboard Cite

show abstract

“…It shows that the data of the two sample classes are normally distributed. This normality test's basis for decisionmaking uses the Liliefors test[22][23]. The homogeneity test results are presented in the table.…”

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confidence: 99%

Effectiveness of the chemical ludo game on shifting equilibrium material and the factors that influence on learning outcomes

Rinelda

Iswendi

2023

J. Pijar.MIPA

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This research is a continuation of development research with a 4-D model developed by Rini Fauza and Iswendi with the title Development of Ludo Chemistry Games as Learning Media on Material Shifting Equilibrium and Factors Affecting It Class XI SMA/MA which is valid but has not been tested for practicality and its effectiveness. This study aims to determine the level of practicality and effectiveness of chemical ludo games. The research design was the Pretest-Posttest Control Group Design. The research sample was XI MIPA 1 as the experimental class and XI MIPA 2 as the control class. Practicality data were analyzed with the practicality percentage and effectiveness data with the N-Gain test. The data analysis results on the practicality of teachers and students are in the very practical category. The results of the N-Gain analysis in the experimental class were 80% in the effective category and in the control class 74% in the quite effective category, which was supported by the learning outcomes of the experimental class, which were higher than the control class. The average posttest scores for the experimental and control classes were 84.83 and 81.17, respectively. The learning outcomes of the experimental class increased from the control class where tcount (2.465) > ttable (2.002) at a significant level α = 0.05. Ludo chemistry games as learning media are very practical and effective in improving student learning outcomes in the cognitive domain of class XI SMAN 1 Lubuk Basung.

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Effect of health education using demonstration media for breast self-examination motivation for women in preventing breast cancer

Cited by 2 publications

References 16 publications

Standardscaler's Potential in Enhancing Breast Cancer Accuracy Using Machine Learning

Standardscaler's Potential in Enhancing Breast Cancer Accuracy Using Machine Learning

Effectiveness of the chemical ludo game on shifting equilibrium material and the factors that influence on learning outcomes

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