Article Per Year (5 Year)
p-Index From 2020 - 2025
3.982
P-Index
This Author published in this journals
All Journal Jurnal Ilmiah KOMPUTASI Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal Teknik Komputer AMIK BSI Paradigma Bina Insani ICT Journal Jurnal Pilar Nusa Mandiri Informatics for Educators and Professional : Journal of Informatics INTI Nusa Mandiri Jurnal Informatika dan Rekayasa Elektronik Jurnal Infortech Jurnal Teknologi Informasi dan Komunikasi Journal of Industrial Engineering & Management Research (JIEMAR) Journal of Community Service and Engagement Jurnal Widya Joong-Ki : Jurnal Pengabdian Masyarakat Jurnal Abdi Masyarakat Multidisiplin Digital Transformation Technology (Digitech) Nanggroe: Journal Of Scholarly Service Jurnal Pariwisata, Bisnis Digital dan Manajemen Nanggroe: Journal of Scholarly Service Joong-Ki Jurnal Pengabdian Kepada Masyarakat Kalam semanTIK Joong-Ki
Henny Destiana
Universitas Bina Sarana Informatika
Religion Agriculture, Biological Sciences & Forestry Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Public Health Social Sciences Other

Published : 42 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 42 Documents
Search

 1   2   3   4   5 
MENGOPTIMALKAN PREDIKSI GAGAL JANTUNG DENGAN KOMBINASI SVM DAN FORWARD SELECTION Riyanto, Verry; Destiana, Henny; Prihatin, Titin; Sugiono; Wijaya, Ganda
Jurnal Informatika dan Rekayasa Elektronik Vol. 8 No. 1 (2025): JIRE APRIL 2025
Publisher : LPPM STMIK Lombok

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36595/jire.v8i1.1541

Abstract

Gagal jantung merupakan salah satu kondisi kesehatan kritis dengan angka kematian yang terus meningkat, dengan permasalahan yang ada diagnosis tradisional seringkali kurang akurat dan efisien sehingga diperlukan metode diagnosis dini yang lebih presisi dan efisien. Penelitian sebelumnya telah meningkatkan akurasi prediksi dengan berbagai metode namun masih terbatas dalam pemilihan fitur optimal dan efisiensi pemodelan. Oleh karena itu, penelitian ini bertujuan untuk menganalisis kinerja kernel pada algoritma Support Vector Machine (SVM) seperti Dot, Radial, Polynomial dan menganalisis efektivitas Forward Selection (FS) dalam memilih fitur paling signifikan guna mengoptimalkan prediksi risiko gagal jantung. Hasil penelitian menunjukkan bahwa kernel Radial dengan FS memiliki performa terbaik dengan AUC 0.881, Accuracy 84,64%, dan Recall 92,55%. Fitur time dan serum_creatinine terbukti paling signifikan dalam meningkatkan performa model. Penelitian ini membuktikan bahwa kombinasi antara SVM dan FS mampu menghasilkan solusi yang lebih presisi dan efisien dalam diagnosis dini gagal jantung dibandingkan pendekatan sebelumnya. Hasil ini diharapkan dapat mendukung pengembangan sistem prediksi berbasis kecerdasan buatan untuk aplikasi klinis yang lebih andal.
IMPLEMENTASI SISTEM INFORMASI PENERIMAAN PESERTA DIDIK BARU (PPDB) BERBASIS WEBSITE DI SMPN 5 TAYAN HILIR Liniwati; Nuraeni, Nia; Destiana, Henny
JURNAL TEKNOLOGI INFORMASI DAN KOMUNIKASI Vol. 16 No. 2 (2025): September
Publisher : UNIVERSITAS STEKOM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/jtikp.v16i2.1225

Abstract

The rapid advancement of information technology has brought profound transformations across various sectors, including education. One notable manifestation of this change is in the New Student Admission (PPDB) process, which was traditionally conducted manually but is now progressively transitioning to digital platforms. At SMPN 5 Tayan Hilir, however, the PPDB process remains conventional, resulting in several challenges such as slow data retrieval, potential loss of important documents, and inefficiencies in time management. This study aims to design and implement a web-based New Student Admission Information System (SIPPDB) as a digital solution to address these issues. The research methodology comprises field observations (primary data collection), literature review, and the development of a web-based system. The implementation results demonstrate that the proposed system significantly improves the PPDB process, making it faster, more accurate, and more efficient for both prospective students and school administrators. Moreover, the system is anticipated to serve as a catalyst for broader digital transformation in data and information management within the school environment.
Co-Authors AA Sudharmawan, AA Abdul Hamid Abdul Rosid Abdul Rozak Adi Supriyatna Adjat Sudradjat Adjat Sudradjat Ahmad Hisyam Anshori, Ahmad Hisyam Ali Haidir Andaru Mahardika, Andaru Anna Mukhayaroh Anna Mukhayaroh, Anna Annisa Hadidah Aryo Tunjung Kusumo Aryo Tunjung Kusumo Baginda Oloan Lubis Dharmawati, Rika Dinda Hapsari Dwi Budi Santoso Euis Widanengsih Euis Widanengsih Euis Widanengsih, Euis Fajar Agustini Ganda Wijaya, Ganda Ida Rosmaidah Intan Karhina Perdana Putri Irmawati Carolina Ishak Komarudin Kurniadi, Win Kusumo, Aryo Tunjung Liansyah, Ovi Liniwati Maisyaroh Martua Hami Siregar Maysaroh Maysaroh Muhammad Hilman Fakhriza, Muhammad Hilman Muhammad Iqbal Nia Nuraeni Novita Indriyani Priyono Priyono Rachman Komarudin Rachman Komarudin Rachman Komarudin Rahmayanti Yulia Randy Ramadhan Ridwansyah Ridwansyah Rizki Aulianita, Rizki Robbidin Subagja Sari Suleha Sefenizka, Aprilah Amira Siti Helmyati Sugiono Sugiono, Sugiono Supriyanti Supriyanti Verry Riyanto Vitanti Dwi Armiyati Wahyuddi, Tri Win Kurniadi Win Kurniadi Yana Iqbal Maulana Yopi Handrianto, Yopi