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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) ComEngApp : Computer Engineering and Applications Journal Jurnal Geografi : Media Informasi Pengembangan dan Profesi Kegeografian Journal of Degraded and Mining Lands Management EKOMBIS REVIEW: Jurnal Ilmiah Ekonomi dan Bisnis JOURNAL OF HEALTHCARE TECHNOLOGY AND MEDICINE Sinkron : Jurnal dan Penelitian Teknik Informatika Sumatra Journal of Disaster, Geography and Geography Education JURNAL MEDIA INFORMATIKA BUDIDARMA Chimica et Natura Acta Ilmu Budaya: Jurnal Bahasa, Sastra, Seni, dan Budaya Jurnal Transformative Reka Buana : Jurnal Ilmiah Teknik Sipil dan Teknik Kimia INSIST (International Series on Interdisciplinary Research) Building of Informatics, Technology and Science Journal of Information Systems and Informatics Jurnal Sistem Komputer & Kecerdasan Buatan Abdimasku : Jurnal Pengabdian Masyarakat Jurnal Layanan Masyarakat (Journal of Public Service) Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Jurnal IPTEK Bagi Masyarakat Indonesian Journal of Islamic History and Culture Jurnal Pemberdayaan Masyarakat Indonesia (JPMI) terAs Law Review: Jurnal Hukum Humaniter dan HAM Jurnal Mahasiswa Ilmu Komputer Journal of Economics and Management Scienties JURNAL PENDIDIKAN OLAHRAGA Kohesi: Jurnal Sains dan Teknologi BAKIRA: Jurnal Pengabdian Kepada Masyarakat Jurnal Ilmu Komunikasi dan Sosial Politik Journal of Physics Education and Science Peksos: Jurnal Ilmiah Pekerjaan Sosial MARAS : Jurnal Penelitian Multidisplin Soedirman Law Review Bayt ElHikmah: Journal of Islamic Architecture and Locality The Indonesian Journal of Computer Science Jurnal Penelitian Teknik Sipil Konsolidasi Seminar Nasional Riset dan Teknologi (SEMNAS RISTEK) IJEFSD Almantiq POTENSI: Jurnal Pengabdian Masyarakat Ekonomi dan Bisnis Jurnal Pariwisata dan Budaya (RANATAYA)
Muhammad Naufal, Muhammad
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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 Electrical & Electronics Engineering Energy 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 Physics Public Health Social Sciences Other

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Journal : Building of Informatics, Technology and Science

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Implementasi Grid Search CV KNN dengan Preprocessing Z-Score Outlier Removal untuk Sistem Prediksi Risiko Kehamilan Anggita, Ivan Maulana; Naufal, Muhammad; Zami, Farrikh Al
Building of Informatics, Technology and Science (BITS) Vol 7 No 2 (2025): September 2025
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v7i2.8206

Abstract

This study aims to optimize the K-Nearest Neighbors (KNN) algorithm in predicting pregnancy risk levels using the “maternal health risk” dataset from the UCI Machine Learning Repository. The methodology includes data preprocessing through outlier detection and removal using Z-score, normalization with Standard Scaling, and categorical encoding on the target labels. Hyperparameter tuning is performed using GridSearchCV to identify the optimal combination of KNN parameters (number of neighbors, distance weight, and distance metric). The results show that the unoptimized KNN model achieved an accuracy of only 69.46%, whereas the optimized model reached an accuracy of 82.00%, with macro average precision of 81.91%, recall of 82.89%, and F1-score of 82.23%. Evaluation using a confusion matrix also revealed significant performance improvement, especially in the high-risk category. The optimized model was deployed as a web application using the Flask framework and Docker via Hugging Face Spaces, enabling real-time and efficient online pregnancy prediction. These findings indicate that combining KNN with GridSearchCV and data normalization significantly enhances prediction performance and offers practical application in healthcare decision support systems.
Optimalisasi Arsitektur LSTM dengan Pendekatan Bidirectional untuk Deteksi Kantuk Pengemudi Berbasis Fitur Wajah Hartono, Andhika Rhaifahrizal; Naufal, Muhammad; Alzami, Farrikh
Building of Informatics, Technology and Science (BITS) Vol 7 No 2 (2025): September 2025
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v7i2.8219

Abstract

Traffic accidents caused by driver fatigue and drowsiness remain a serious safety concern in many countries, including Indonesia. Various image-based drowsiness detection systems have been developed, yet many still rely on single-frame analysis and lack the ability to capture complete temporal context. To address this issue, a system capable of accurately and real-time detecting signs of drowsiness is required. This study aims to evaluate and compare the performance of Long Short-Term Memory (LSTM) and Bidirectional LSTM (BiLSTM) algorithms for a facial-feature-based drowsiness detection system. The dataset used is YawDD, which consists of videos of drivers yawning and in neutral conditions. Each video was decomposed into frames and analyzed using MediaPipe to extract facial landmarks. Two main features, Eye Aspect Ratio (EAR) and Mouth Opening Ratio (MOR), were utilized. Due to class imbalance, the SMOTE technique was applied to the minority class in the training data. Both LSTM and BiLSTM models were compared under similar architecture configurations. The results show that BiLSTM outperformed LSTM with an accuracy of 94,74% and an F1- score 94,82%, compared to 92,98% accuracy and 93,22% F1-score achieved by LSTM. These findings demonstrate that bidirectional sequential processing in BiLSTM is more effective in capturing the temporal patterns of drowsiness symptoms. This study contributes to the development of accurate and efficient computer vision-based drowsiness detection systems.
Co-Authors Achmad Achmad Ade Gohan, Muhammad Agmi, Nadia Agus Riyanto, Indra Ahmad Cahyadi **) Ahmad Suriansyah Ahsyar, Tengku Khairil Akrom, Muhamad Al-Azies, Harun Alfitri, Mira Alzami, Farrikh Amanda Cahyadewi, Felicia Andayan, Melia Andrean, Muhammad Niko Anggi Pramunendar, Ricardus Anggita, Ivan Maulana Aprillia Dwi Ardianti Ayu Pertiwi Azka, Muhammad Azwar, Erizaldy Brawijaya, Kriska Budoyo, Joto Candra, Mellyana Chandra Pratama, Ragil Cinantya, Celia Darmawahyuni, Annisa Denta Saputra, Fahrizal Dinda Lestarini Dwi Laksono, Angga Dwi Putra, Rakhmat Eka Yuniarto Eko Haryono Endang Komariah, Endang Erwin Yudi Hidayat Fadillah Putra Fahmi Amiq Fauziah, Ismahani Febriyanto, Hendra Firdaus Firdaus Firmansyah, Gustian Angga Guruh Fajar Shidik Habibi, Alif Farhan Handayani, Ni Made Kirei Kharisma Hariyadi, Nursyifa Nada Hartono, Andhika Rhaifahrizal Harun Al Azies Hayatul Cholsy Helda Orbani Rosa Hermansyah Hidayat, Novianto Nur Hilary Reinhart Husaini Husda IDA RAHMAWATI Ika Wiani Inggih Permana Irawan, Diki Surya ISWAHYUDI ISWAHYUDI Jazman, Muhammad Jun Justinar K, M. Rizal Kharisma, Ni Made Kirei Khoirunnisa, Emila Kurniawan, Anggy Tyas Labib, M. Ainul Ledy Diana Listya Endang Artiani, Listya Endang Liya Umaroh, Liya Lusi Ariyani M Widyastuti Mallorca, Muhammad Nur Alfat Margaretha Widyastuti Marsuni, Yusriadi Marwan, Arif Masliana Masliana, Masliana Megantara, Rama Aria Moch Anjas Aprihartha Muhammad Aziz Muhammad Fachrurrozi Bafadal Muljono Muljono Muslem, Asnawi Mylova, Rezha Willy Putra Ningrum, Novita Kurnia Noor Ageng Setiyanto, Noor Ageng Norma Eralita Nurhayati Nurhayati Nursantri Yanti Onggo, Nico Pamungkas, Bintang Putra Dwi Prabowo, Wahyu Aji Eko Prayoga, Yegi Pulung Nurtantio Andono Putra, Permana Langgeng Wicaksono Ellwid Putri Rachmadani, Nisa Rajudin, Rajudin Ramadhan Rakhmat Sani Ramadhan, Fajri Rani Maharani Ricardus Anggi Pramunendar Richo Kurniawan, Ibnu RISAL, SYAHLAN Riswandi, Muh Syahlan Riyanto, Indra Agus Safitri, Aprilyani Nur Safitriani, Indah Samangi, Arfina Sari Ayu Wulandari Sarifah Putri Raflesia, Sarifah Putri Sariman, Syahrul Sa’adah, Muna Sepe, Muslimin Silalahi, Purnama Ramadani Siti Anisah Siti Nurmaini Sri Winarno Sudarmin Sudibyo, Usman Sumartono Sutomo, Rudi Tjahyo Nugroho Adji Tomy Perdana Trisnapradika, Gustina Alfa Ulhaq, M. Jia Umar Fakhrizal, Irsyad Wahyu Ristiawan, Angga Wibawa, Yohanes Eka Wulandari, Wita Wulansari, Rindi Yudhistira, M Halley Zahro, Azzula Cerliana Zami, Farrikh Al Zayn, Afta Ramadhan Zulfikar Jayakusuma