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Perbandingan Algoritma Stochastic Gradient Descent dan Naïve Bayes Pada Klasifikasi Diabetic Retinopathy Hadistio, Ryan Rinaldi; Mawengkang, Herman; Zarlis, Muhammad
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 6, No 1 (2022): Januari 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v6i1.3426

Abstract

The purpose of this research is to compare the performance of the Stochastic Gradient Descent and Naïve Bayes algorithms in classifying Diabetic Retinopathy. Diabetic retinopathy is a complication of diabetes that causes damage to the retina of the eye. These disturbances can be detected by early detection through data extracted from eye images. This research uses source data from the UCI Machine Learning Repository, namely Diabetic Retinopathy Debrecen, totaling 1,151 data records with 19 attributes consisting of 18 attributes and 1 target attribute. The validation test uses the Cross Validation method with a total of 10 k. From the comparison of the two proposed methods, the Stochastic Gradient Descent algorithm produces an average test accuracy of 70.16%, while Naïve Bayes produces an average accuracy of 56.74%. From the comparison of the two algorithms, the Stochastic Gradient Descent algorithm is known to be superior in classifying the Diabetic Retinopathy Debrecen Dataset.
Development of Android-Based Smart System for Gingivitis Diagnosis Using Certainty Factor Hadistio, Ryan Rinaldi; Simamora, Windi Saputri; Muis, Abdul
Sinkron : jurnal dan penelitian teknik informatika Vol. 8 No. 1 (2024): Articles Research Volume 8 Issue 1, January 2024
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v9i1.13361

Abstract

Gingivitis is a gum disease that causes bleeding, swelling, redness, discharge, changes in normal contours, and although health authorities take this seriously, sometimes some patients consider it normal. This study aims to educate the public about the importance of understanding the condition of their bodies, especially the most vulnerable teeth. Lack of time to consult an expert leads to this disease being neglected. Therefore, it is necessary to develop a consultation application in the form of an expert system. The built system adopts the deterministic factor method. The certainty factor works by reading the entire data submitted by the expert and giving the result as a percentage of confidence that the patient has gingivitis. The experts used in this system are dental experts. Data obtained from direct experts and consultations resulted in new knowledge in the form of the percentage of trust patients suffering from gingivitis. The data collected are symptoms and solutions obtained from experts. This research provides a new service for patients suffering from gingivitis without the need to see a specialist directly. Based on the testing data provided to the patient and based on the patient's condition at that time, the test results of the system reached a confidence level of 98.74%. So that the results of consultation are obtained in the form of information about the disease and the solutions needed.
Edukasi Kesadaran Keamanan Data/Informasi dan Bermedia Digital pada Siswa/i SMA Kemala Bhayangkari Medan Simamora, Windi Saputri; Harahap, Siti Sarah; Hadistio, Ryan Rinaldi
ULEAD : Jurnal E-Pengabdian Volume 3 Nomor 1 Juli 2023
Publisher : Fakultas Ilmu Komputer, Universitas Katolik Santo Thomas Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54367/ulead.v3i1.2797

Abstract

Dalam dunia digital yang semakin kompleks, penting bagi siswa/i untuk memiliki pemahaman yang baik tentang risiko-risiko yang terkait dengan penggunaan teknologi informasi dan media digital. Melalui penyuluhan dan workshop, siswa/i akan mendapatkan pemahaman praktis dan keterampilan dalam menghadapi risiko-risiko terkait keamanan data/informasi dan bermedia digital. Materi yang disampaikan meliputi pencurian identitas, penipuan online, privasi online, penipuan phishing, perbankan online, virus, tipuan email, dan praktik penggunaan internet yang aman. Selain itu, forum diskusi juga akan memberikan kesempatan bagi siswa/i untuk berdiskusi dan berbagi pandangan terkait keamanan data/informasi dan bermedia digital. Dengan menerapkan solusi-solusi tersebut, diharapkan siswa/i SMA akan memiliki pemahaman yang lebih baik tentang keamanan data/informasi dan bermedia digital. Mereka akan menjadi pengguna yang lebih bertanggung jawab dan cerdas dalam menghadapi risiko-risiko di dunia maya. Selain itu, kegiatan ini juga akan memberikan dampak positif yang luas dalam menciptakan lingkungan belajar yang aman dan produktif.
Implementation of Fuzzy Logic in Detecting Air Temperature Based on Microcontroller Harahap, Siti Sarah; Simamora, Windi Saputri; Hadistio, Ryan Rinaldi
Brilliance: Research of Artificial Intelligence Vol. 3 No. 2 (2023): Brilliance: Research of Artificial Intelligence, Article Research November 2023
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v3i2.3023

Abstract

The environment, technology, and many facets of daily living are all significantly impacted by temperature conditions. Knowing environmental health, agriculture, industry, electrical technology, weather and natural disasters, transportation, and even scientific research are just a few of the many reasons why temperature conditions are crucial. Fuzzy algorithms are used to more flexibly process temperature data while creating a temperature detector employing fuzzy logic. We can base our conclusions on a wider range of criteria than merely right or wrong thanks to fuzzy logic. A temperature sensor, microprocessor, and display (such an LCD or LED screen) are some basic electronic components that can be used to create a temperature detector.