Article Per Year (5 Year)
p-Index From 2020 - 2025
5.902
P-Index
This Author published in this journals
All Journal Jurnal Online Mahasiswa (JOM) Bidang Keguruan dan Ilmu Pendidikan EQUILIBRIUM OCTOPUS : Jurnal Ilmu Perikanan Journal of English Language, Literature, and Teaching (J-ELLiT) Edu-Ling: Journal of English Education and Linguistics International Journal of Language Teaching and Education Jurnal Psikologi Jurnal Riset Pendidikan Dasar JURNAL PENDIDIKAN TAMBUSAI Jurnal Studia Insania JURNAL AGRONIDA Jurnal Informasi dan Komputer Jurnal Tekinkom (Teknik Informasi dan Komputer) BERDAYA: Jurnal Pendidikan dan Pengabdian Kepada Masyarakat Buletin Penelitian Tanaman Rempah dan Obat JURNAL INOVASI KESEHTAN MASYARAKAT Jurnal Anugerah: Jurnal Pengabdian Kepada Masyarakat Bidang Keguruan dan Ilmu Pendidikan Ekonomi Bisnis Manajemen dan Akuntansi (EBMA) Jurnal Nasional Manajemen Pemasaran dan SDM Jurnal Pendidikan Fisika dan Sains (JPFS) JURNAL MANAJEMEN AKUNTANSI (JUMSI) Journal of English Language and Education Oikonomia: Jurnal Manajemen PROFICIO: Jurnal Pengabdian Masyarakat Global Research on Tourism Development and Advancement (GARUDA) Jurnal Inovasi Pengabdian Masyarakat Pendidikan Ruang Cendekia : Jurnal Pengabdian Kepada Masyarakat Journal Of Human And Education (JAHE) Indonesian Journal of Business, Accounting and Management Akuntansi dan Humaniora: Jurnal Pengabdian Masyarakat JURNAL ECONOMINA Jurnal Karya Abdi Masyarakat Jurnal Ekonomi Bisnis, Manajemen dan Akuntansi (JEBMAK) e-Jurnal Inovasi Pembelajaran Sekolah Dasar Indonesian Research Journal on Education Innovative: Journal Of Social Science Research Kohesi: Jurnal Sains dan Teknologi TERAKOTA : Jurnal Poster Arsitektur, Interior dan Rancang Kota Journal of Research in Education and Pedagogy e-Jurnal Inovasi Pembelajaran Sekolah Dasar LINGUISTS : JOURNAL OF LINGUISTICS AND LANGUAGE TEACHING JPBD (Jurnal Penelitian Busana dan Desain)
Melati Melati
Balai Penelitian Tanaman Rempah dan Obat
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Energy Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Physics Public Health Social Sciences Other

Published : 56 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search
Journal : Jurnal Tekinkom (Teknik Informasi dan Komputer)

 1 
PERBANDINGAN ALGORITMA RANDOM FOREST DAN SUPPORT VECTOR MACHINES DALAM MEMPREDIKSI TINGKAT RISIKO SERANGAN JANTUNG BERDASARKAN KEBIASAAN MEROKOK Harmaja, Okta Jaya; Fernando, Fernando; Melati, Melati
Jurnal Teknik Informasi dan Komputer (Tekinkom) Vol 8 No 1 (2025)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v8i1.1807

Abstract

Heart disease remains a major global health challenge, with smoking behavior identified as one of the most significant modifiable risk factors. This study aims to compare the performance of two machine learning algorithms—Random Forest and Support Vector Machine (SVM)—in predicting heart attack risk levels based on smoking habits and biometric indicators. Using a dataset of 3,901 subjects obtained from Kaggle, data preprocessing and feature engineering were conducted to optimize model accuracy. The SVM algorithm achieved an accuracy of 92.43%, with its best performance observed in the medium-risk category (precision: 0.95, recall: 0.97, F1-score: 0.96), although performance declined in low and high-risk categories. In contrast, the Random Forest algorithm demonstrated superior results, reaching 99.91% accuracy with perfect precision, recall, and F1-scores (1.00) across all risk categories. The findings indicate that Random Forest not only provides more consistent and accurate predictions but also minimizes classification errors effectively. This research suggests that Random Forest is a more reliable and robust approach than SVM for integrating into intelligent health information systems to support early detection and prevention strategies for heart disease, especially among individuals with active smoking behavior.
Co-Authors Abdul Haris Ade Titin Sumarni Agustianda, Agustianda AHMADI Akmaluddin Akmaluddin Alavi Muhammad Farenzi ANDINI NURWULANDARI Ansharullah Ansharullah Anwar, Asni Burhanuddin Burhanuddin Choiriyah Choiriyah Dedi Kurniawan Devi Rusmin Dharma, Budi Elwisam, Elwisam Erika Revida Erlisnawati Erlisnawati Feny Martina Fernando Fernando, Fernando Firdaus, Muhammad Alif Hadinugrahaningsih, Tritiyatma Hairiyanto Hamdanah Hamdanah Hamizi Hamizi, Hamizi Hasrin Lamote, Hasrin Herlina Herlina Hustarna Hustarna Indri Anastasia Intan Ayu Pratiwi, Intan Ayu Irawan, Rio Iswuata, Irna Khairunnisa, Salsabillah Zahwa Levianti Levianti Lisa Rakhmanina Maharyani, Dina Anika Mardiah, Radiatan Marita, Yosi Masitah , Siti Maulida, Sofia Mayasari Mayasari, Mayasari Miera, Zahra Fatin Misnawati Misnawati Molina, Molina Muh. Iqbal Muhammad Nur Mutmaina, Mutmaina Nartin, Nartin Nely Arif Niken Puspitasari Nisa Rahmaniyah Utami Nur, Aryanto Nuri Aslami Nurjaya, Nunu NURLIANA NURLIANA Nyimas Triyana Safitri Okta Jaya Harmaja Pohan, Diki Wahyudi Purba, Priono Hasiholan Putra, Suadi Sapta Rahmadani, Juniarti Rahmatina, Rahmatina Raka Siwi, Devvy Faradilla Rakhmanina, Lisa Rama, Asry Nofa Rama, Muh. Irfan Reny Heryanti, Reny Resti Hardini Restu Khaliq, Restu Rika Wahyuni S Haris, Tasman Sabarun Saharso, Saharso Septiansyah, Rendra Fadly Shandy, Nayudha Sinaga, Anisa Paujiah Sinambela, Megawati Sinurat, Gilang Ramadhanu Siti Aisyah Siti Fatimah Siti Masitah Sofyan, Dedi SRI RAHAYU Sufyati HS Sukarman Sukarman Sukmawati Anggraeni Putri, Sukmawati Anggraeni Suryanti, Heni Susanah Susanah Susantri, Rama SYAHRIAL SYAHRIAL Syamsudin Syamsudin Tati Handayani, Tati Tersta, Friscilla Wulan Thabran, Yulhenli Triyana Safitri, Nyimas Ulfiati, Lilik Zainuddin, Zainuddin