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Results for Topics : "Population"


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Prediction of Malaysian women divorce using machine learning techniques
Item Type: Article
Author: 
Aimran, Nazim and
Rambli, Adzhar and
Afthanorhan, Asyraf and
Mahmud, Adzmel and
Sapri, Azlin and
Azman, Airena Aireen and
Author: 
Editor: 
Year:  01/10/2022
Abstract:  This paper discusses the performance of three machine learning techniques namely Decision Tree, Logistic Regression and Artificial Neural Network for predicting divorce among Malaysian women. Secondary data were obtained from the Fifth Malaysia Population and Family Survey (MPFS-5) conducted by the National Population and Family Development Board (LPPKN). The total number of instances in the dataset was 7,644 ever married Malaysian women aged 15 to 59 years old. Divorce is currently a serious problem among the Malaysian community due to various reasons. In 2019, the divorce rate in Malaysia rose by 12% from the previous year. During the first three months of the movement Control Order (MCO), i.e. from March 18 to June 18, 2020, the Syariah Court of Malaysia recorded 6,569 divorce cases. Worse, a total of 90,766 divorce cases were recorded from January to October 2020. Among the six predictive methods, The Decision Tree Model (C5.0) was found to be the best model in classifying divorce among Malaysian women. The accuracy of the C5.0 model was 77.96% followed by the Artificial Neural Network (Multi-Layer Perceptron) and Logistic Regression (Forward Stepwise) model (74.68% and 67.89%, respectively). The order of important predictors in predicting divorce among Malaysian women is the wives’ employment status (0.1531) followed by the husbands’ employment status (0.1396), type of marriage (0.1327), race/ethnicity (0.1327), distant relationship (0.1212). the wives’ qualification level (0.1115), age group (0.1053) and religion (0.0998)
 
 
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Pemerkasaan wanita melalui program wanita Malaysia Revolusi Industri (IR4.0) bebas jenayah siber
Item Type: Article
Author: 
Mohd, Masnizah and
Sheikh Abdullah, Siti Norul Huda and
Paiza@Fauzi, Wan Fariza and
Mohd Yusof, Siti Baizura and
Kadri, Atikah and
Author: 
Editor: 
Year:  00/12/2021
Abstract:  Sustainable national development needs to take into account the cyber well-being of the population, especially empowering women who are often the victims. Various cybercrime issues such as cyber harassment, cyberbullying, cyber stalking and criminal intimidation, under the scope of gender-based violence, online have largely involved women as primary victims. The gender power imbalance that exists in a society where usually, men are considered the dominant gender while women are considered the submissive gender. This has motivated the need to develop a form of training program that focuses on gender equality and women’s empowerment in cyber security. Therefore, this study aims to develop a cyber security training program called the Bengkel Wanita Malaysia Revolusi Industri (IR4.0) Bebas Jenayah Siber (Sibernita).
 
 
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