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JARES (Journal of Academic Research and Sciences)
Published by Universitas Islam Balitar Blitar
ISSN : 2502826X     EISSN : 25031163     DOI : https://doi.org/10.35457/jares
Core Subject : Social,
Social Sciences
Jurnal memuat hasil penelitian di perguruan tinggi bidang ilmu sosial, humaniora dan sains.
Arjuna Subject : -
Articles 102 Documents
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THE POSITION OF EVIDENCE OF TESTIMONIALS OF WITNESSES WITH DISABILITIES (MINORS) IN RAPE CASES IN THE PROOF PROCESS AT INVESTIGATION LEVEL (Study at the PPA Unit of the Surabaya Police Criminal Investigation Unit Aprilya, Tarrisa; Puspitosari, Hervina
JARES (Journal of Academic Research and Sciences) Vol 9 No 2 (2024): September 2024
Publisher : Universitas Islam Balitar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35457/jares.v9i2.3629

Abstract

The purpose of this study was to determine the strength of the evidence of rape victims in cases of rape of children with disabilities and to find out the inhibiting factors of the police against child witnesses with disabilities during the investigation process by the Surabaya Polrestabes. In this study the authors used empirical or sociological legal methods using a qualitative approach. Based on the research results, it is proven that the strength of the testimony of children with disabilities is the same as other normal children as long as the witness has the quality of being a witness and is assisted by an interpreter and psychiatrist who is neutral and impartial. This is due to the quality of the witness, not the physical limitations of the witness. The inhibiting factors of the police towards children with disabilities are witnesses not wanting to tell stories, and being proactive and difficult to control which results in delays in the investigation process, witnesses are not fluent in using sign language, and the unavailability of supporting facilities such as braille, (sign language translators), and refusals persons with disabilities as witnesses.
A Convolutional Neural Network Model for the Handwritten Hijaiyah Recognition System (SiPuTiH) with Domain-Specific Data Augmentation Sri Lestanti; Sandi Widya Permana; Nur Budiman, Saiful
JARES (Journal of Academic Research and Sciences) Vol 10 No 2 (2025): September 2025
Publisher : Universitas Islam Balitar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35457/jares.v10i2.5430

Abstract

This paper presents SiPuTiH, a Convolutional Neural Network (CNN)-based approach for handwritten Hijaiyah character recognition that addresses performance degradation caused by morphological variations in handwriting. The study employs a dataset of 1,680 handwritten images representing 30 Hijaiyah characters, where domain-specific data augmentation is applied solely during the training phase. The augmentation strategy incorporates controlled geometric and stroke-based transformations, including rotation, scaling, shear, slant variation, and stroke thickness adjustment, to model realistic handwriting diversity. The proposed CNN architecture consists of multiple convolutional layers with ReLU activation, max-pooling operations, and a softmax classifier. Experimental results show that the proposed method achieves an accuracy of 99.70%, with weighted precision and F1-score of 99.85% and 99.77%, respectively. Furthermore, the use of domain-specific data augmentation effectively reduces misclassification among visually similar characters, such as ta and tsa, demonstrating improved robustness and generalization capability.

Page 11 of 11 | Total Record : 102

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