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Klasifikasi Berita Hoaks Menggunakan Algoritma Support Vector Machine
Putri Ramadani
; Nur Aisyah Pandia
; Salsabila Putri Hati Siregar
Prosiding Seminar Nasional Ilmu Teknik
Vol 2
, No 2
(2026)
The spread of hoax news in digital media is a serious problem because it can affect public opinion and social stability. This study aims to classify hoax news using the Support Vector Machine (SVM) algorithm. The dataset used is a hoax clarification dataset from the Ministry of Communication and Digital (Komdigi) of the Republic of Indonesia, totaling 1,872 data. The research process includes data collection, text pre-processing, feature extraction using TF-IDF, and classification using the SVM...
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Sistem Informasi Sederhana untuk Identifikasi Gen Penyebab Penyakit
Putri Ramadani
; Nur Aisyah Pandia
; Salsabila Putri Hati Siregar
; Sulindawaty Sulindawaty
Saturnus: Jurnal Teknologi dan Sistem Informasi
Vol 4
, No 1
(2026)
The development of bioinformatics has led to the availability of large amounts of genetic data through public databases such as NCBI Gene, OMIM, and Ensembl. However, the complexity of data presentation and the dominance of English language hinder students, novice researchers, and the general public in understanding the relationship between genes and disease. This research aims to develop a simple web-based information system to identify disease-causing genes with concise, Indonesian-language, a...
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Keamanan Data melalui Enkripsi Studi Kasus dengan Algoritma RSA
Salsabila Putri Hati Siregar
; Nur Aisyah Pandia
; Putri Ramadani
; Ibnu Rusydi
Polygon : Jurnal Ilmu Komputer dan Ilmu Pengetahuan Alam
Vol 4
, No 1
(2026)
Data security is a critical aspect in the digital era due to the increasing exchange of sensitive information through electronic media. One widely used approach to protect data confidentiality is cryptography, particularly asymmetric encryption algorithms. This study aims to analyze the implementation of the Rivest–Shamir–Adleman (RSA) algorithm as a data security mechanism through an encryption and decryption process. The research method used is an experimental approach by implementing the RSA...
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Intergrasi Algoritma Clustering K-Means dan Simulasi Stokastik untuk Pemetaan dan Prediksi Peningkatan Kualitas Layanan Rehabilitasi
Aninda Evioni
; Khoiratul Azmi
; Silfia Rahmadani Sitorus
; Salsabila Putri Hati Siregar
; Zahra Dwi Nuraini
Mars: Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer
Vol 3
, No 6
(2025)
The disparity in the quality of rehabilitation services across regional work units presents a significant challenge to effective public management. This study aims to bridge the gap between problem diagnosis and policy prediction by proposing a hybrid, data-driven approach. We integrate K-Means Clustering to map the current state of service quality and Stochastic Simulation to predict the impact of strategic interventions. Using the 2024 Public Satisfaction Index (IKM) dataset from the National...
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Pemanfaatan Pengolahan Citra untuk Identifikasi Wajah pada Sistem Keamanan Indonesia
Salsabila Putri Hati Siregar
; Zulia Lestari Nasution
; Aninda Evioni
; Khoiratul Azmi
Neptunus: Jurnal Ilmu Komputer Dan Teknologi Informasi
Vol 3
, No 2
(2025)
Image processing is a branch of computer science that is growing rapidly and is widely used in various fields, including in security systems. Face identification is one of the main applications of image processing that aims to recognize and distinguish individual faces in a system. The methods used in face identification involve various techniques, such as facial feature detection, characteristic extraction, and classification using machine learning algorithms. This article discusses the applica...
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