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All Journal Teknika ELEKTRO SAMUDERA Techno Nusa Mandiri : Journal of Computing and Information Technology METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Building of Informatics, Technology and Science Jurnal Vokasi JTIK (Jurnal Teknik Informatika Kaputama) Jurnal Ners Jurnal Tekinkom (Teknik Informasi dan Komputer) JUKI : Jurnal Komputer dan Informatika MEANS (Media Informasi Analisa dan Sistem) International Journal of Engineering, Science and Information Technology International Journal of Research in Vocational Studies (IJRVOCAS) TECHSI - Jurnal Teknik Informatika Sisfo: Jurnal Ilmiah Sistem Informasi Jurnal Teknologi Terapan and Sains 4.0 Journal of Mathematics Instruction, Social Research and Opinion Journal of Advanced Computer Knowledge and Algorithms Jurnal Solusi Masyarakat Dikara INOVTEK Polbeng - Seri Informatika JuTISI (Jurnal Teknik Informatika dan Sistem Informasi) ITEJ (Information Technology Engineering Journals)
Eva Darnila
Unknown Affiliation
Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Astronomy Automotive Engineering 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 Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Physics Social Sciences Transportation Other

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Machine Learning Klasifikasi Penyakit Jiwa Menggunakan Metode K-Nearest Neighbor Berbasis Web M. Althaf Kiram; Eva Darnila; Ilham Sahputra
Jurnal Ners Vol. 9 No. 2 (2025): APRIL 2025
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jn.v9i2.43319

Abstract

Gangguan jiwa merupakan masalah kesehatan yang dapat berdampak signifikan terhadap kehidupan individu jika tidak terdiagnosis dan ditangani dengan baik. Untuk mendukung deteksi dini dan mempermudah proses klasifikasi penyakit jiwa, penelitian ini mengembangkan sistem berbasis K-Nearest Neighbor (KNN) yang diimplementasikan dalam aplikasi berbasis web. Dataset yang digunakan diperoleh dari Rumah Sakit Jiwa Aceh dengan total 564 data pasien, yang mencakup gejala seperti kecemasan, penyakit persepsi, serta tingkat keparahan dalam kehidupan sehari-hari. Proses klasifikasi dilakukan melalui serangkaian tahapan, termasuk pembersihan data, normalisasi, pemilihan parameter optimal, dan evaluasi model. Dengan K=10 model diuji menggunakan confusion matrix untuk mengukur performa dengan metrik akurasi, presisi, recall, dan F1-score, yang menghasilkan nilai 100% untuk semua kategori penyakit jiwa yang diklasifikasikan, yaitu Depresi Berat, Depresi Ringan, Skizofrenia Paranoid, dan Skizofrenia Hebefrenik. Hasil ini menunjukkan bahwa metode KNN dapat digunakan secara efektif dalam mendiagnosis penyakit jiwa berdasarkan gejala yang diberikan. Selain itu, implementasi berbasis web memungkinkan akses lebih luas bagi tenaga medis dan masyarakat dalam melakukan klasifikasi awal tanpa harus bergantung sepenuhnya pada diagnosis manual. Dengan hasil yang akurat dan sistem yang responsif, penelitian ini diharapkan dapat berkontribusi dalam meningkatkan pelayanan kesehatan mental serta memberikan solusi berbasis teknologi untuk mendukung upaya deteksi dini penyakit jiwa.
A Natural Language Processing-Based Chatbot as a Medium for Consultation and Education on Direct-Contact Infectious Diseases Serlina Serlina; Eva Darnila; Rini Meiyanti
Journal of Mathematics Instruction, Social Research and Opinion Vol. 5 No. 1 (2026): March
Publisher : MASI Mandiri Edukasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58421/misro.v5i1.984

Abstract

Direct-contact infectious diseases such as influenza, diphtheria, tuberculosis (TB), scabies, varicella, impetigo, herpes simplex, and HIV remain public health threats. Limited access to accurate information encourages the development of chatbots as educational media. This study aims to design and build an NLP-based chatbot named SerMediCare to provide consultation and education on infectious diseases. The Research and Development (R&D) method with an iterative approach was used, including needs analysis, data collection from journals and medical books, and interviews with healthcare workers; system design; model training; and implementation on a web platform. The dataset was prepared in JSON format, including patterns, responses, and tags, and trained with a Transformer-based model to accurately recognize user intent. Evaluation results show that SerMediCare achieves 86% accuracy, indicating its ability to provide relevant responses to user queries. Black box testing confirmed that all features function properly. This chatbot is expected to be an effective digital tool for improving health literacy and facilitating public access to reliable information about infectious diseases.
Learning Media Application for Basic Digital Courses Using Augmented Reality with the Marker Based Tracking (MBT) Method Syamsul Buchori Pane; Eva Darnila; Fajriana Fajriana
ITEJ (Information Technology Engineering Journals) Vol. 10 No. 2 (2025): December
Publisher : Pusat Teknologi Informasi dan Pangkalan Data IAIN Syekh Nurjati Cirebon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24235/itej.v10i2.263

Abstract

The rapid development of digital technology opens up opportunities to increase the effectiveness of learning media, one of which is by utilizing Augmented Reality (AR) technology. This study aims to develop an AR-based digital basic course learning media application with the marker-based tracking method. The materials presented include number systems, logic gates, boolean algebra, Karnaugh maps, and flip-flops. The development process is carried out through a waterfall approach which includes literature studies, needs analysis, system design, implementation, and testing. The results of the study show that the developed application is able to display 3D objects interactively and in real-time through features such as rotation, zoom, and audio, so as to improve students' understanding and interest in learning. The application of AR technology has proven to be an innovative and effective medium in conveying abstract concepts in digital learning.
Co-Authors Angaw, Mariance Wulan Asrianda Asrianda Bakti Viyata Sundawa Cindenia Puspasari Cut Agusniar Cut Dewi Aida Soraya Cut Fadhilah Dela, Monisa Dhyra Gibran Alinda Dinata, Rozzy Kesuma Ermatita - Fadisar, Nanda Fadlisyah Fadlisyah Fajriana , Fajriana Fajriana, Fajriana Febrin Aulia Batubara Fuadi, Wahyu Hafiz Al-Kautsar Hafni Hafni Hafni Hafni Harahap, Lina Mardiana Hazmanan Khair Hizamrul jaen Ichsan ilham - sahputra Irhami, Putri Iwan Pahendra jaen, Hizamrul Jannah, Rauzatul Japirman Purba Julita, Rina Khainesya, Khainesya Khairunnisa Khairunnisa Khalid Mawardi Lidya Rosnita Lina Mardiana Harahap M. Althaf Kiram Mandala, Rizki Maryana Maryana Maryana Marzuki, Sinambela Mauliza, Mauliza Melly, Melly Yani Melodi, Balqis Muhammad Azmi, Muhammad Muhammad Fikry Muhammad Iqbal Muhammad Rivai Muhammad Rizki Mukti Qamal Mutammimul Ula Nasution, Tuti Adi Tama Nazimah Nazimah Nazira Nazira Nilahayati Nunsina, Nunsina Nurahma, Syahfitri Nurdin Nurdin Nurfaiza Nursanti Nursanti Nursanti Nursanti Pahendra, Iwan Pane, Syamsul Buchori Ramadani, Suci Rauzatul Jannah Razi, Ar Rini Meiyanti Risawandi, Risawandi Ritonga, Maya Syarah Rozzi Kesuma Dinata Safrizal Safrizal Safwandi Safwandi Salsabila, Cut Syahira Serlina Serlina Sinambela Marzuki Suci Ramadani Syaiful Bahri Syamsul Buchori Pane Teguh Rahayu TONNI LIMBONG Ulvityatni Wahyu Fuadi Yaumil Iksan Zahratul Fitri, Zahratul Zara Yunizar