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p-Index From 2020 - 2025
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All Journal Journal of Soft Computing Exploration Journal of Student Research Exploration Journal of Information System Exploration and Research
Damayanti, Nabila Putri
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Computer Science & IT Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering

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The Classification of Hate Comments on Twitter Using a Combination of Logistic Regression and Support Vector Machine Algorithm Damayanti, Nabila Putri; Prameswari, Della Egyta; Puspita, Wiyanda; Sundari, Putri Susi
Journal of Information System Exploration and Research Vol. 2 No. 1 (2024): January 2024
Publisher : shmpublisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52465/joiser.v2i1.229

Abstract

This research was conducted to increase accuracy in classifying sentences containing hate speech and non-hate speech on Twitter. This is important to do because, as technology develops, it also comes with negative impacts, one of which is hate speech. This classification is carried out using a combination of Logistic Regression (LR) and Support Vector Machine (SVM) methods. This combination is based on the ease of implementation and speed of LR as well as SVM's ability to handle more complex and non-linear data. In this context, LR is used to model the probability that a comment on Twitter contains hate elements or not. The model can then provide probability predictions for each class, and a threshold can be set to determine the final class. This research shows that combining these methods can build a good classification model with an accuracy of 96%.
Lung cancer classification using convolutional neural network and DenseNet Damayanti, Nabila Putri; Ananda, Mohammad Nabiel Dwi; Nugraha, Faizal Widya
Journal of Soft Computing Exploration Vol. 4 No. 3 (2023): September 2023
Publisher : SHM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52465/joscex.v4i3.177

Abstract

Lung cancer is a condition that has a major impact on public health. Convolutional Neural Network (CNN) and DenseNet approaches are suggested in this study to aid lung cancer detection and classification. In various fields of pattern recognition and medical imaging, CNN and DenseNet have demonstrated their efficacy. In this study, radiology images from individuals with lung cancer were used to create a set of medical lung images. The findings show that lung cancer can be accurately classified into malignant and benign from radiological images using CNN and DenseNet architectures, with a parameter accuracy of 99.48%. This research contributes to the creation of a deep learning-based system for detecting and classifying lung cancer. The findings can be the basis for creating a more accurate and productive lung cancer diagnostic system.
Artificial intelligence (AI) imaging for enhancement of parking security Dwiantoro, Arko; Maulana, Ilham; Damayanti, Nabila Putri; Al Zahra, Reyhan Nandita
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.v1i1.110

Abstract

Parking is a public facility found in an agency or office that is used to store vehicles. There are lots of vehicles that can enter the parking area. Therefore, we need an area management and parking system. Artificial Intelligence (AI) is the knowledge that makes computers able to imitate human intelligence so that computers can do things that humans do. This research is motivated by crime cases that often occur in parking lots. This is because there is still a lack of security in the place. The purpose of this study is to increase security and ease of scanning on motorcycle license plates to get parking tickets automatically and face scans. That way, if a crime occurs in the monitoring area, the camera can easily recognize the face of the perpetrator, which makes the incident process easy.
Co-Authors Al Zahra, Reyhan Nandita Ananda, Mohammad Nabiel Dwi Dwiantoro, Arko Ilham Maulana Nugraha, Faizal Widya Prameswari, Della Egyta Puspita, Wiyanda Sundari, Putri Susi