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Hearty : Jurnal Kesehatan Masyarakat
Published by Universitas Ibn Khaldun Bogor
ISSN : 23387475     EISSN : 26207869     DOI : 10.32832/hearty
Core Subject : Education,
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Hearty: Jurnal Kesehatan Masyarakat (ISSN:2338-7475 & e-ISSN:2620-7869) is published semiannual by Fakultas Ilmu Kesehatan, Universitas Ibn Khaldun, Bogor.
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Articles 34 Documents
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Search results for , issue "Vol 13 No 4 (2025): AGUSTUS" : 34 Documents clear
EARLY DETECTION OF ORAL CANCER USING AI TECHNOLOGY: REVOLUTIONIZING DIAGNOSTIC PRECISION Fauziah, Yessy Andriani; Darmadi, Eveline Yulia; Aulia, Della; Damayanti, Desak Made Feby; Setianingtyas, Dwi
HEARTY Vol 13 No 4 (2025): AGUSTUS
Publisher : Fakultas Ilmu Kesehatan, Universitas Ibn Khaldun, Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32832/hearty.v13i4.18845

Abstract

Oral cancer remains a global health challenge, with late-stage diagnosis contributing to high morbidity and mortality rates. Early detection is critical for improving survival outcomes, but traditional diagnostic methods often rely on subjective interpretation and are time-consuming. This study investigates the application of artificial intelligence (AI) in the early detection of oral cancer, emphasizing its potential to improve diagnostic accuracy and efficiency. A structured literature review examined studies published between 2015 and 2025 from databases such as PubMed, Scopus, and Web of Science. The review focused on research utilizing machine learning algorithms, particularly convolutional neural networks (CNNs), to analyze clinical and imaging data. Key performance indicators, including sensitivity, specificity, and accuracy, were evaluated to assess the effectiveness of AI technologies. The findings suggest that AI-driven diagnostic systems consistently surpass traditional methods, offering enhanced accuracy and reliability. These advancements highlight AI's transformative potential in streamlining diagnostic workflows and addressing challenges in resource-limited settings. In conclusion, AI technology is reshaping the early detection landscape for oral cancer, reducing delays, and improving diagnostic precision. However, further research is needed to address challenges such as data standardization, model transparency, and ethical considerations to facilitate broader clinical adoption.
ETHICAL AND LEGAL ASPECTS OF ARTIFICIAL INTELLIGENCE IN ORAL HEALTH Darmadi, Eveline Yulia; Fauziah, Yessy Andriani; Alvin, Jonatan Deriano; Mayfrila, Angelina Alexandra; Cyntia, Wennie
HEARTY Vol 13 No 4 (2025): AGUSTUS
Publisher : Fakultas Ilmu Kesehatan, Universitas Ibn Khaldun, Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32832/hearty.v13i4.18897

Abstract

Integrating artificial intelligence (AI) into oral health has revolutionized diagnostics, treatment planning, and patient management. Despite its significant benefits, the adoption of AI introduces complex ethical and legal challenges that demand critical evaluation. This literature review explores AI applications' moral and legal implications in oral health, emphasizing patient privacy, data security, informed consent, and professional accountability. A systematic review of peer-reviewed journals and legal frameworks from 2016 to 2024 was conducted to analyze the current landscape. The findings highlight ethical dilemmas, including biases in AI algorithms, the need for equitable access to AI-based tools, and potential disruptions to dentist-patient relationships. Legal considerations, such as data protection laws and liability in AI-related errors, are also critically discussed. Addressing these challenges requires a collaborative approach involving healthcare professionals, legal experts, and policymakers. This review concludes that while AI holds transformative potential for oral health, addressing its ethical and legal challenges is essential to ensure responsible and sustainable implementation.
DELAYS IN HEALTH INSURANCE CLAIMS AT A THIRD-PARTY ADMINISTRATOR (TPA) PT. XYZ IN 2024 Wulandari, Reny Yulita; Purnamawati, Dewi
HEARTY Vol 13 No 4 (2025): AGUSTUS
Publisher : Fakultas Ilmu Kesehatan, Universitas Ibn Khaldun, Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32832/hearty.v13i4.20409

Abstract

Third-Party Administrators (TPA) play a crucial role in managing health insurance claims. However, delays in claim processing remain a major issue that negatively affects customer satisfaction. This study aims to describe the occurrence of delayed health insurance claims at one TPA in Indonesia in 2024. A descriptive quantitative approach was used, analyzing 442,279 secondary claim records to determine the frequency, type, and underlying causes of delayed claims. The findings revealed that 34% of all claims were classified as pending. Most pending claims involved outpatient and cashless services. The leading cause of the delay was incomplete documentation (55%), followed by invoice revisions and further claim investigations. These delays were largely attributed to unresolved administrative issues. Improving claim service quality in TPA requires the implementation of digital processing systems, enhanced staff competencies, and real-time document monitoring mechanisms.
BREAKFAST HABITS, ALLOWANCE, AND NUTRITIONAL STATUS IN RELATION TO MENSTRUAL IRREGULARITIES AMONG HIGH SCHOOL STUDENTS AT SMAN 1 NGAMPRAH Putri, Intan Rahmadina; Prameswari, Fajria Saliha Puspita; Fitrianingsih, Asti Dewi Rahayu; Astuti, Widya
HEARTY Vol 13 No 4 (2025): AGUSTUS
Publisher : Fakultas Ilmu Kesehatan, Universitas Ibn Khaldun, Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32832/hearty.v13i4.20916

Abstract

Menstrual cycle disorders are a prevalent health issue among adolescent girls and may be influenced by lifestyle factors and nutritional status. This study aimed to examine the association between allowance, breakfast habits, energy adequacy, protein adequacy, fat adequacy, and nutritional status with menstrual cycle disorders among female students at SMAN 1 Ngamprah. A cross-sectional analytical survey was conducted involving 90 students selected through proportional random sampling. Data were collected using questionnaires, 2×24-hour dietary recalls, and anthropometric measurements. The study found a higher prevalence of menstrual cycle disorders among students with above-average allowances, regular breakfast habits, and insufficient intake of energy, protein, and fat. These disorders were also more common in students experiencing both undernutrition and overnutrition. The study concludes that economic factors and nutritional intake are significantly associated with menstrual cycle regularity. Educational interventions promoting balanced diets and effective financial management are recommended as prevention strategies for menstrual cycle disorders among adolescents.

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