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Deteksi Dini Gejala Aritmia pada Penderita Hypertensi menggunakan Algoritma SVM dengan Data Elektrokardiogram
Tambunan, Fiktor Januari
; Tarigan, Perwira
; Hulu, Yakin Rianto
; Halawa, Hendi Jaya
; Prabowo, Agung
Dinamik
Vol 30
, No 2
(2025)
Abstrak
Penelitian ini mengembangkan sistem deteksi aritmia pada lansia menggunakan sinyal elektrokardiogram (EKG) 5-lead dan algoritma Support Vector Machine (SVM). Data EKG yang diperoleh melalui perangkat Smart Holter direkam secara kontinu dan diproses melalui tahapan praproses, meliputi koreksi baseline, filtering dengan metode Butterworth, ekstraksi fitur, normalisasi, serta pelabelan manual oleh dokter spesialis jantung untuk validitas klinis. Model SVM kemudian dilatih dan diuji dengan h...
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Analisa Komparasi dengan Algoritma K-Nearest Neighbor (KNN) dan Support Vector Machine (SVM) untuk Prediksi Penyakit Jantung
Nainggolan, Johannes Kristian
; Sinaga, Ferdinand
; Sitorus, Andriani M.
; Khairia, Anisa
; Wijaya, Bayu Angga
Dinamik
Vol 30
, No 2
(2025)
Tingkat keberhasilan deteksi penyakit jantung sangat bergantung pada akurasi model klasifikasi yang digunakan. Penelitian ini bertujuan membandingkan kinerja dua algoritma klasifikasi, yaitu K-Nearest Neighbor (KNN) dan Support Vector Machine (SVM), dalam mendeteksi penyakit jantung menggunakan dataset berjumlah 1025 sampel dengan dua kelas target, yakni sehat dan penyakit jantung. Proses pra-pemrosesan data meliputi pembersihan dan normalisasi fitur medis seperti usia, tekanan darah, serta kada...
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Analisis Kesiapan Rekam Medis Elektronik di Puskesmas Tempunak Kabupaten Sintang Tahun 2024
Jurnal Manajemen Informasi dan Administrasi Kesehatan
Vol 8
, No 1
(2025)
Penggunaan rekam medis elektronik (RME) memiliki peran penting dalam meningkatkan kualitas sistem pelayanan kesehatan. Namun, implementasi RME di puskesmas menghadapi berbagai tantangan. Penelitian ini bertujuan untuk menganalisis kesiapan rekam medis elektronik di puskemas Tempunak Kabupaten Sintang Tahun 2024. Metode penelitian yang digunakan dalam penelitian ini adalah kuantitatif dengan pendekatan cross sectional. Pada penelitian ini menggunakan teknik kuesioner. Populasi penelitian berjumla...
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An Asynchronous Learning to Improve Vocabulary Building by Using YouTube Channel
Scripta : English Department Journal
Vol 12
, No 1
(2025)
This study investigates the impact of YouTube usage on enhancing the vocabulary of eleventh-grade students at Vocational PN 2 Purworejo. This methodology employs a mixed approach, incorporating qualitative data from initial and final interviews and quantitative data derived from student test scores that explicitly address specific questions. This study demonstrates a substantial enhancement after viewing the Vocab App-Learn English Words channel. This study examines the utilization of YouTube by...
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Comparison of Naive Bayes and Support Vector Machine (SVM) Methods in Female Daily Skincare Sentiment Analysis: Perbandingan Metode Naive Bayes dan Support Vector Machine (SVM) dalam Analisis Sentimen Skincare Female Daily
RADIANT: Journal of Applied, Social, and Education Studies
Vol 6
, No 2
(2025)
The development of the beauty industry in Indonesia has increased significantly, along with the high participation of consumers in providing online reviews, especially through the Female Daily platform. These reviews contain opinions that can be analyzed to determine consumer sentiment towards a product. This study seeks to perform sentiment analysis on beauty product reviews by applying two text classification techniques: Support Vector Machine (SVM) and Naive Bayes. The research stages include...
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Perlindungan Hukum Pemilik Hak Atas Tanah Yang Belum Bersertifikat Dalam Sengketa Kepemilikan Tanah Wakaf
Jurnal Akta Notaris
Vol 4
, No 1
(2025)
ah yang belum bersertifikat memiliki kerentanan tinggi terhadap sengketa, termasuk sengketa wakaf, karena tidak adanya bukti kepemilikan yang kuat secara hukum. Dalam penelitian ini yang menjadi perumusan masalah terkait sengketa tersebut yaitu, bagaimana perlindungan hukum pemilik hak atas tanah yang belum bersertifikat dalam sengketa kepemilikan wakaf, apa dasar pertimbangan hukum oleh hakim terhadap sengketa tanah wakaf dalam Putusan No. 456 K/AG/2007, bagaimana akibat hukum pemilik hak atas...
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An Analysis of Students' Grammatical Errors with AI Assistance in Writing Descriptive Texts
Scripta : English Department Journal
Vol 12
, No 1
(2025)
This study aims to analyze grammatical errors made by tenth-grade students of SMK Ma'arif NU 1 Bener in writing descriptive texts, particularly with the assistance of artificial intelligence (AI) tools. Employing a descriptive qualitative method, the study identifies and categorizes grammatical errors based on the taxonomy: omission, addition, misformation, misordering, and capitalization. The data were collected from students' written texts and analyzed using qualitative data analysis procedure...
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THE INFLUENCE OF EMOTIONAL INTELLIGENCE ON PROSOCIAL BEHAVIOR AMONG SENIOR HIGH SCHOOL STUDENTS: THE MODERATING ROLE OF GENDER
COUNSENESIA Indonesian Journal of Guidance and Counseling
Vol 6
, No 1
(2025)
Prosocial behavior refers to voluntary actions intended to help others without expecting rewards, and it is considered an essential component in the development of adolescents' social character. This study aims to examine the influence of emotional intelligence on prosocial behavior among senior high school students in Semarang City, while also analyzing the moderating role of gender in this relationship. Employing a quantitative approach, this research involved 200 students selected through pur...
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The Effectiveness of Interactive Learning Method toward Students' Speaking Ability
Scripta : English Department Journal
Vol 12
, No 1
(2025)
This research examines the efficacy of interactive learning techniques in enhancing students' speaking skills in English. A quantitative approach with a correlational design was employed, involving 65 students from two vocational high school classes divided into experimental (interactive) and control (non-interactive) groups. Data were collected through observations and speaking tests, assessed using five criteria: pronunciation, grammar, fluency, vocabulary, and comprehension. The results indic...
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ARTIFICIAL INTELLIGENCE AND AUDIT QUALITY: AN EMPIRICAL LITERATURE REVIEW FROM SCOPUS DATABASE
Fokus Ekonomi : Jurnal Ilmiah Ekonomi
Vol 20
, No 1
(2025)
This study aims to explore the development and influence of Artificial Intelligence (AI) on audit quality through a comprehensive empirical literature review. Utilizing a qualitative research approach, the study systematically analyzes 325 peer-reviewed articles published in Scopus-indexed journals between 2010 and 2025. The selection was based on the keyword “Artificial Intelligence on Audit Quality” and focused exclusively on finalized, English-language scientific journal articles. The finding...
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