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All Journal TIN: TERAPAN INFORMATIKA NUSANTARA International Health Sciences Journal
Qolina, Ellya
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The Relationship Between Reproductive Health Knowledge Level and Awareness of Sexual Harassment in School-Age Children at Sdn Karawaci Baru 6 Tangerang City Afifah, Jihan; Qolina, Ellya; Milawati, Rina
International Health Sciences Journal Vol. 3 No. 1 (2025): IHSJ Vol 3 No 1 (2025)
Publisher : Rajaki of Tulip Medika Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61777/ihsj.v3i1.85

Abstract

Abstract Background: Sexual abuse of children can have a direct impact on reproductive health, both physically and psychologically. Proper reproductive health education can help children to recognize inappropriate behavior, such as unwanted touching, sexual solicitation, or speech that contains elements of abuse, understand body changes, and improve the ability to protect themselves from sexual abuse. Objective: To determine the relationship between the level of reproductive health knowledge and awareness of sexual harassment based on age, gender, and information sources in school-age children at SDN Karawaci Baru 6 Tangerang City. Methods: The study used a quantitative method with a cross-sectional descriptive design. The sample consisted of 54 students aged 11-12 years at SDN Karawaci Baru 6 Tangerang City selected through total sampling techniques. Analysis of the relationship between independent, dependent and confounding variables using Chi-Square and Mantel-Haenszel tests to determine the existence of relationships and identify confounding variables. Results: The results showed that reproductive health knowledge was in the good category as many as 43 respondents (79.6%) and the level of awareness against sexual harassment in the alert category was 35 respondents (64.8%). Bivariate analysis showed a relationship between reproductive health knowledge level and sexual abuse awareness (p-value = 0.003). The results of the Crude Odds Ratio and the Mantel-Haenszel Odds Ratio showed that the variables of age (p-value=0.011) and source of information (p-value=0.004) had the potential to be confounding variables due to the difference in Odds Ratio >10%, while gender did not show a significant relationship (p-value=0.010). Conclusion: The results suggest that students aged 11–12 years have adequate reproductive health knowledge, which contributes to their heightened awareness of sexual abuse and the importance of self-protection. Keywords: awareness, reproductive health, school-age children., sexual abuse, vigilance.
Pendekatan Translasi Otomatis Catatan Medis Indonesia untuk Ekstraksi Informasi dan Pemetaan Medis berbasis cTAKES–UMLS Kasan, Iwan; Heryawan, Lukman; Qolina, Ellya; Aliyah, Aliyah
TIN: Terapan Informatika Nusantara Vol 6 No 10 (2026): March 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v6i10.9471

Abstract

Unstructured medical notes in SOAP format are crucial assets for clinical analysis; however, their automated processing in the Indonesian language remains a significant challenge due to limited support from global NLP technologies. This study evaluates the integration of Apache cTAKES and the Unified Medical Language System (UMLS) to extract medical information from Indonesian electronic health records. The primary obstacle lies in the cTAKES architecture, which is optimized for English, causing direct application to Indonesian texts to yield a very low detection rate (Recall) of only 17.9%. As a pragmatic solution to bridge this linguistic barrier, this research proposes a preprocessing pipeline based on automatic translation using the Google Translate API prior to the cTAKES extraction process. The evaluation was conducted on a dataset of 50 SOAP-format medical records identifying 840 medical entities. Experimental results demonstrate that the automatic translation approach significantly improves entity detection, achieving a Recall of 90.2% and an F1-Score of 93.4%. Despite challenges such as information loss from local medical abbreviations and translation ambiguities, this study proves that automatic translation serves as an effective transitional strategy in resource-limited environments. This approach not only supports clinical information extraction but also enables the automatic mapping of medical terminology to international standards such as ICD-10, SNOMED-CT, and RxNorm to foster national health data interoperability.
Co-Authors Afifah, Jihan Aliyah, Aliyah Heryawan, Lukman Kasan, Iwan Milawati, Rina