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All Journal JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Journal of Computer Science Advancements
Ananta, Willy Pramudia
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Computer Science & IT

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Implementasi Algoritma Naive Bayes dalam Meningkatkan Akurasi Diagnosa Penyakit Tumor Otak Surianto, Stacyana Jesika; Putra, Samuel Anaya; Ananta, Willy Pramudia; Sitorus, Rizki Risdah; Ramadhani, Fanny
JATISI Vol 11 No 3 (2024): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v11i3.8113

Abstract

A brain tumor is an abnormal growth of cells in the brain that often requires an accurate diagnosis from a radiologist. This study aims to implement the Naive Bayes algorithm in improving the accuracy of brain tumor diagnosis. Naive Bayes is a popular classification algorithm in data mining that can provide accurate results even with limited datasets. The study used a dataset of MRI images of brain tumors from Kaggle consisting of 2044 image samples with three classes: meningioma tumors, pituitary tumors, and no tumors. The process starts with image preprocessing, then feature extraction using Local Binary Pattern (LBP), and classification using Naive Bayes algorithm. The test results showed the best parameters of LBP were radius 1 and neighborliness 8, while the Naive Bayes model achieved 68% accuracy, 67% precision, and 66% recall in classifying all three classes of brain tumors. The study expands knowledge of the potential of the Naive Bayes algorithm in brain tumor diagnosis and may form the basis for further research.
Website-Based Employee Attendance Information System (Case Study: PT. Excelindo Karya Abadi) Batubara, Shabrina Husna; Ananta, Willy Pramudia; Indra, Zulfahmi
Journal of Computer Science Advancements Vol. 2 No. 3 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsca.v2i3.1106

Abstract

This research aims to develop a web-based employee attendance information system at PT. Excelindo Karya Abadi, overcoming inefficiencies in the manual attendance process. Using the Waterfall method, this research includes the stages of needs analysis, system design, implementation, testing, and maintenance. Data collection is carried out through interviews and direct observation so that it becomes the basis of a system that includes the function of recording attendance via selfie photos, managing employee data, and making reports. The system architecture is designed with front-end and back-end components, using technologies such as HTML, CSS, JavaScript, PHP, and MySQL. Testing involves black box techniques to ensure functionality and user feedback for system improvement. The implemented system demonstrated significant improvements in the accuracy and efficiency of attendance tracking, reducing the potential for data manipulation and errors. The transition to a web-based system allows for greater accessibility and integration with an organization's existing systems, thereby contributing to increased operational efficiency. The findings show that digital attendance systems can simplify administrative processes substantially, offer reliable solutions for employee attendance management, and align with technological advances to support company growth.
Co-Authors Batubara, Shabrina Husna Putra, Samuel Anaya Ramadhani, Fanny Sitorus, Rizki Risdah Surianto, Stacyana Jesika Zulfahmi Indra, Zulfahmi