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All Journal Sinergi ICMSA Jurnal Matematika dan Statistika serta Aplikasinya (Jurnal MSA) Sinkron : Jurnal dan Penelitian Teknik Informatika BAREKENG: Jurnal Ilmu Matematika dan Terapan Jurnal Entomologi Indonesia Journal of Research in Mathematics Trends and Technology Jurnal Ilmiah Wahana Pendidikan APPLICATION: Applied science in Learning Research Jurnal Kesehatan Gigi dan Mulut (JKGM) Jurnal Natural Indonesian Journal of Applied Mathematics Transcendent Journal of Mathematics and Applications Jurnal Teknokes
Siti Rusdiana
Department Of Mathematics, Universitas Syiah Kuala, Banda Aceh, 23111, Indonesia
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Classification of Autism Spectrum Disorder (ASD) in Children Using the VGG19 CNN Model Based on Facial Landmarks of the Eye and Forehead Areas yunidar; Arya Suyanda; Melinda Melinda; Lailatul Qadri Zakaria; Siti Rusdiana
Jurnal Teknokes Vol. 19 No. 2 (2026): June
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/jteknokes.v19i2.158

Abstract

Early detection of Autism Spectrum Disorder (ASD) is a crucial challenge in child development interventions because conventional screening methods are often subjective and prone to assessor bias. This study proposes an objective solution in the form of a deep learning approach for automatic ASD classification using facial landmark representations that focus exclusively on the eye and forehead areas. The selection of these areas is based on the eye avoidance hypothesis, which states that these regions contain very rich diagnostic information and behavioral biomarkers related to the ASD phenotype. The pre-processing stage involves isolating the eye and forehead areas using Dlib 68-landmark detection to eliminate background visual noise, followed by detailed topological visualization using MediaPipe Face Mesh with 478 landmark points as the model input. The Convolutional Neural Network (CNN) architecture used is the VGG19 model modified with transfer learning techniques and the addition of Dropout layers to improve efficiency and prevent overfitting. The model was trained on a primary dataset of 1,238 images collected under controlled conditions from children in Banda Aceh. The test results showed very promising performance with an overall accuracy of 94.35%. Specifically, the model achieved a recall (sensitivity) of 95.24%, a precision of 93.75%, and an AUC score of 0.9831. This high sensitivity is crucial in a medical context to minimize the risk of misdetection of positive cases. These results demonstrate that landmark visualization in the eye and forehead areas with the VGG19 model is a highly effective, accurate, and practical method for serving as an economical early screening tool for ASD.
Pertimbangan Hakim Dalam Gugatan Wanprestasi Atas Uang Jaminan Deposito Ibadah Umrah Siti Rusdiana; Erlina Bachri; Anggalana Anggalana
Jurnal Ilmiah Wahana Pendidikan Vol 12 No 8.A (2026): Jurnal Ilmiah Wahana Pendidikan
Publisher : Peneliti.net

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Abstract

This research is motivated the rise of legal disputes in the implementation of Umrah pilgrimage, especially related to the management of guarantee funds in the form of deposits which often lead to acts of default. The main focus of this research is to analyze the case in Decision Number : 5/Pdt.G/2025/PN.Tjk.Where the Defendant failed to return the deposit guarantee money for the Plaintiff's Umrah pilgrimage. The purpose of this research is to determine the form of default that occurred and the basis for the judge's consideration in deciding the case. The problem in this research is What is the form of default that occurred in the lawsuit case over the deposit guarantee money for the Umrah pilgrimage and also What is the basis for the judge's consideration in deciding the case of default on the deposit guarantee money for the Umrah pilgrimage based on Decision Number: 5/Pdt.G/2025/PN.Tjk. The research method used in this research is normative juridical and empirical juridical with a library approach and field research through interviews with Judges of the Tanjung Karang District Court and related legal practitioners. Primary data was obtained from trial evidence and interviews, while secondary data came from a study of legal documents.
Co-Authors . Melinda Alfizar Alfizar Anggalana Arie Budiansyah Arya Suyanda Asep Rusyana Asmanidar, Asmanidar Basir, Nurlida Candra, Rudi Arif Charlie, Empya Delia Khairunnisa Dewi Shinta Durisman Durisman Elly Kesumawati Erlina B Febriana, Diana G. Gunawan Gazali, Syahrul Hafnani Hafnani Hamdi, Syaiful Husni Husni Ilham, Dirja Nur Intan Syahrini Lailatul Qadri Zakaria Latifah Rahayu Mahfuzha, Raudhatul MAHMUDI Mahmudi Mahmudi Marwan Ramli Marzuki Marzuki Maulidi, Ikhsan Muarrif, Samsul Mucharommah Sartika Ami Muhammad Ikhwan Mukhra, Uly Handayani Novita Novita Nurillah, Usmau Lidya Nurmaulidar Nurmaulidar Oktavia, Rini Pasaribu, Sri Rizki Aprilianti Pribadi, Teguh Radhiah, Radiah RAHAYU, LATIFAH Rahmaniar, Meutia Hanum Romi Rosadi Saiful Amri Saputra, T Murdani Sukamto, Ika Sumiyarsi Sulistiawati Sulistiawati Syahrini, Intan Syarifah Meurah Yuni Syaukani Syaukani T. Mohd. Raja Maulana Taufiq Abdul Gani Teguh Pribadi Vina Apriliani Waladah, Buleun yunidar Yunidar Zahnur, Zahnur Zurnila Marli Kesuma