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Implementasi Algoritma Naïve Bayes dan K-Nearest Neighbor Dalam Menentukan Tingkat Keberhasilan Immunotherapy Untuk Pengobatan Penyakit Kanker Kulit F Lia Dwi Cahyanti; Windu Gata; Fajar Sarasati
Jurnal Ilmiah Universitas Batanghari Jambi Vol 21, No 1 (2021): Februari
Publisher : Universitas Batanghari Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33087/jiubj.v21i1.1189

Abstract

Cancer is a disease that grows in the skin tissue where this condition is characterized by changes in the skin, such as the appearance of lumps, spots, or moles with abnormal sizes, one of the causes of skin cancer is exposure to ultraviolet rays from the sun. One of the treatments for skin cancer is immunotherapy, the immunotherapy method is the treatment of disease by activating or suppressing the immune system in the body. In this study, a comparison with data mining methods for classification was carried out, namely Naïve Bayes and K-Nearest Neighbor to predict the success rate of immunotherapy in curing skin cancer. In the testing process, the researcher uses the Weka application to process data and conduct tests. The results of the tests that have been carried out show that the K-Nearest Neighbor model has the best accuracy value of 91.1111%. while Naïve Bayes obtained a smaller accuracy value, namely 82.2222%. From the test results, it can be concluded that the K-Nearest Neighbor method has better accuracy in determining the success rate of immunotherapy.
COMPARISON OF EIGENFACE AND FISHERFACE METHODS FOR FACE RECOGNITION Elly Firasari; F Lia Dwi Cahyanti; Fajar Sarasati; Widiastuti Widiastuti
Jurnal Techno Nusa Mandiri Vol 19 No 2 (2022): Techno Nusa Mandiri : Journal of Computing and Information Technology Period of
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/techno.v19i2.3470

Abstract

Abstract— Biometric information systems have been widely used in the fields of government, shopping centers, education and even security, which offer biological authentication so that the system can recognize its users more quickly. The parts of the human body are identified by a biometric system that has unique and specific characteristics, one of which is the face. Adjustment of facial image deals with objects that are never the same, due to the parts that can change. These changes are caused by facial expressions, light intensity, shooting angle, or changes in facial accessories. With this, the same object with several differences must be recognized as the same object. In this study, the data used were 388 face images and the sata test consisted of 30 face images. Before the face is tested, preprocessing and feature extraction are carried out using the Haar Cascade Classifier and then detected using Eigenface and Fisherface. Based on the research results, the Fisherface method is an algorithm that is accurate and efficient compared to the Eigenface algorithm. The Fisherface algorithm has an accuracy of 88%. while the Eigenface method has an accuracy rate of 76%. Keywords – Haar Cascade Classifier, Eigenface, Fisherface,.
Pelatihan Literasi dan Karakter bagi Generasi Muda Lia Mazia; Ratna Puspita; Fajar Sarasati
POTENSI: Jurnal Pengabdian Masyarakat Ekonomi dan Bisnis Vol. 2 No. 1: Maret 2026
Publisher : Universitas Pembangunan Nasional Veteran Jawa Timur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/potensi.v2i1.67

Abstract

The younger generation is a crucial asset in national development, and therefore needs to be equipped with strong literacy skills and character to face the challenges of globalization and the development of information technology. The high internet penetration in Indonesia, particularly among teenagers, has not been fully matched by adequate digital literacy skills. This leaves the younger generation vulnerable to misinformation, hoaxes, exposure to negative content, and various digital ethics issues such as cyberbullying. Therefore, systematic efforts are needed to improve literacy and instill positive character values ​​in the younger generation. This Community Service (PM) activity aims to improve literacy skills and strengthen the character of the younger generation through literacy training and character education. The methods used in this activity include material delivery, interactive discussions, and practical activities aimed at increasing participants' understanding of information literacy, digital literacy, and the importance of character values ​​in everyday life. The results of the activity indicate that participants gained an increased understanding of the importance of literacy, the ability to filter information more critically, and an awareness of the importance of ethics and character in the use of digital media. Thus, this literacy training and character building activity is expected to be one of the efforts in forming a young generation that is intelligent, critical, and has a positive character.Generasi muda merupakan aset penting dalam pembangunan bangsa sehingga perlu dibekali dengan kemampuan literasi yang baik serta karakter yang kuat untuk menghadapi tantangan di era globalisasi dan perkembangan teknologi informasi. Tingginya penetrasi internet di Indonesia, khususnya pada kalangan remaja, belum sepenuhnya diimbangi dengan kemampuan literasi digital yang memadai. Kondisi ini menyebabkan generasi muda rentan terhadap misinformasi, hoaks, paparan konten negatif, serta berbagai permasalahan etika digital seperti cyberbullying. Oleh karena itu, diperlukan upaya yang sistematis untuk meningkatkan literasi sekaligus menanamkan nilai-nilai karakter positif pada generasi muda. Kegiatan Pengabdian kepada Masyarakat (PM) ini bertujuan untuk meningkatkan kemampuan literasi serta memperkuat karakter generasi muda melalui pelatihan literasi dan edukasi karakter. Metode yang digunakan dalam kegiatan ini meliputi penyampaian materi, diskusi interaktif, serta kegiatan praktik yang bertujuan untuk meningkatkan pemahaman peserta mengenai literasi informasi, literasi digital, serta pentingnya nilai-nilai karakter dalam kehidupan sehari-hari. Hasil kegiatan menunjukkan bahwa peserta memperoleh peningkatan pemahaman mengenai pentingnya literasi, kemampuan dalam menyaring informasi secara lebih kritis, serta kesadaran terhadap pentingnya etika dan karakter dalam penggunaan media digital. Dengan demikian, kegiatan pelatihan literasi dan penguatan karakter ini diharapkan dapat menjadi salah satu upaya dalam membentuk generasi muda yang cerdas, kritis, serta berkarakter positif.