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All Journal Jurnal Kesehatan Lingkungan indonesia Journal of Public Health for Tropical and Coastal Region Al-Ard: Jurnal Teknik Lingkungan AS-SYIFA : Jurnal Pengabdian dan Pemberdayaan Kesehatan Masyarakat ENVIRONMENTAL OCCUPATIONAL HEALTH AND SAFETY JOURNAL Public Health Risk Assesment Journal Journal of Religion and Public Health BIOTROPIC Agile Governance and Innovation Measurement
Izza Hananingtyas
Fakultas Ilmu Kesehatan, Universitas Islam Negeri Syarif Hidayatullah Jakarta
Religion Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture Dentistry Education Environmental Science Health Professions Immunology & microbiology Medicine & Pharmacology Public Health Social Sciences Veterinary Other

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Bahaya Kontaminasi Logam Berat Merkuri (Hg) dalam Ikan Laut dan Upaya Pencegahan Kontaminasi pada Manusia Hananingtyas, Izza
Al-Ard: Jurnal Teknik Lingkungan Vol. 2 No. 2 (2017): March
Publisher : Department of Environmental engineering, Faculty of Science and Technology, Islamic State University Sunan Ampel Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29080/alard.v2i2.120

Abstract

Produk pangan mentah terutama dari hasil laut memiliki tingkat pencemaran logam berat yang mengkhawatirkan akibat semakin banyaknya bahan pencemar yang masuk dalam lingkungan perairan Indonesia yang berasal dari pembuangan limbah industri di sepanjang wilayah pantai dapat menjadi sumber racun bagi kehidupan perairan. Adanya kandungan logam berat di perairan Laut Jawa, memungkinkan adanya kotaminasi pada ikan laut hasil Laut Jawa yang didistribusikan ke masyarakat. Hal ini tidak sesuai dengan peraturan pemerintah yang mengatur dan melindungi keamanan pangan yaitu PP Nomor 28 tahun 2004 tentang Keamanan, Mutu, dan Gizi Pangan. Penelitian ini bertujuan untuk mengetahui dan mengukur kadar logam berat merkuri (Hg) pada hasil laut di Pantai Utara Jawa dan menjelaskan upaya pencegahan kontaminasi pada manusia. Penelitian ini bersifat deskriptif dengan pendekatan cross sectional study. Akumulasi logam berat di dalam tubuh manusia dalam jangka waktu yang lama dapat mengganggu sistem peredaran darah, urat syaraf dan kerja ginjal. Kadar rata - rata logam berat merkuri (Hg) pada ikan tongkol (Euthynnus sp.) di Pantai Utara Jawa sebesar 0,141 mg/kg. Langkah pengendalian yang dapat diterapkan untuk mencegah bahaya logam berat Hg yaitu dengan pengendalian pencemaran limbah dari industri yang berlokasi disekitar wilayah perairan Laut Utara Jawa. Upaya pencegahan akumulasi kontaminasi logam berat Hg pada manusia yaitu mengatur konsumsi ikan laut setiap harinya dengan perhitungan ADI (Acceptable Daily Intake) diperoleh hasil 0,168 μg/kg BB per minggu. Akan tetapi bila konsumsi ikan seseorang melebihi rata-rata konsumsi perhari, dan weekly intake-nya melebihi PTWI (provisional tolerable weekly intake) yang telah ditetapkan WHO, maka dapat berefek negatif pada kesehatan.
Work Department and Workplace Stress: A Cross-Sectional Study on Health Office Employees Albadii, Haidar Rifqi; Hananingtyas, Izza
Journal of Public Health for Tropical and Coastal Region Vol 8, No 3 (2025): Journal of Public Health for Tropical and Coastal Region
Publisher : Faculty of Public Health, Universitas Diponegoro, Semarang, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jphtcr.v8i3.29018

Abstract

Introduction: Work-related stress has become a critical issue in the health sector, with significant impact on productivity and quality of service. Preliminary studies found that 50% of employees at the Health Office of City X experienced work stress. This study aimed to investigate the association between gender, age, department, and stress among health workers in the Health Office of X city.Methods: A cross-sectional study was conducted among 115 Health Office employees in City X in February- July 2025, which has already fullfill the minimal sample size for two proportion hypothesis with alpha of 0.05 and 95% power. The subjects were from five departments in the Health Office. Data were collected through interviews using valid and reliable structured questionnaires of the Workplace Stress Scale. Analyses were performed using chi-square tests and logistic regression.Results: Overall, 53% of respondents experienced work-related stress. Older subjects (≥30 years)  experienced more stress than younger workers, with an OR of 2.4 (95% CI: 1.04-5.56; p=0.038). Workers in the Division of Disease Prevention and Control also experienced more stress, with an OR of 3.56 (95% CI:1.13 – 11.11; p=0.030), while those in the other departments did not. No significant relationship was found between gender and work stress (p =0.552).Conclusion: Work stress mitigation for employees can be implemented through interventions such as cross-generational mentoring programs and workload evaluation. Additionally, it is necessary to conduct regular assessments of work stress, stress management training, and monitor the workload of all employees in the Health Department.
Gambaran Kualitas Lingkungan Sungai Cimandiri Akibat Cemaran Merkuri di Wilayah Penambangan Emas Skala Kecil (PESK) Kabupaten Sukabumi Izza Hananingtyas
Biotropic : The Journal of Tropical Biology Vol. 7 No. 1 (2023): Biotropic, Volume 7 Nomor 1, 2023
Publisher : Program Studi Biologi, Fakultas Sains dan Teknologi, Universitas Islam Negeri Sunan Ampel Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29080/biotropic.v7i1.1707

Abstract

In Indonesia, ASGM has increased. This results in an increased risk of mercury pollution in the environment (Minamata Initial Assessment Report, 2019).  The amalgamation process for ASGM in Sukabumi, it used mercury as basic material for amalgamation process. It can increase to negative impacts on the environment and humans. This study aims to describe the impact of mercury contamination on the environmental quality of the Cimandiri River around ASGM in Sukabumi District. This research was conducted using a laboratory test method with reference to PP No. 22 at 2021 and SNI 7387 at   2009. The results of the tests found that the highest mercury exposure occurred in aquatic biota (catfish, snakehead and eel) which exceeded the quality standard, although the media water and sediment does not exceed the quality standard. This indicates that the quality of the Cimandiri River is unsafe for biota due to mercury contamination in local biota around ASGM. Therefore, there is a need for further studies on the safety of local food products from the Cimandiri River.
Artificial Intelligence and Big Data for Disaster Risk Reduction: A Bibliometric Mapping Nuryanty, Cut Dian; Hananingtyas, Izza
Agile Governance and Innovation Measurement Journal Vol. 3 No. 1 (2026): March 2026
Publisher : Center for Public Policy and Digital Government Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/agimjournal.v3i1.30

Abstract

The integration of artificial intelligence (AI), machine learning (ML), and big data into disaster governance represents a transformative paradigm shift in how states and institutions anticipate, manage, and respond to disasters. Despite growing scholarly interest, the trajectory and thematic coherence of this interdisciplinary field remain insufficiently mapped. This study aims to systematically map the intellectual landscape of AI and big data research in disaster governance by identifying dominant thematic clusters, tracing the temporal evolution of research priorities, and uncovering structural gaps between technical innovation and governance readiness. This study addresses that gap through a bibliometric analysis of 251 publications retrieved from the Scopus database (2006–April 2026), employing keyword co-occurrence network analysis and thematic mapping using VOSviewer and RStudio. Three dominant thematic clusters were identified: AI-driven smart governance systems, machine learning-based predictive analytics, and deep learning for real-time sensing. The findings reveal a clear evolution from foundational data-mining methods (2020–2021) to the integration of IoT and social media analytics (2022–2023), and, most recently, to precision approaches including spatio-temporal risk assessment and remote sensing (2024–2025). Critically, the analysis uncovers a structural gap between technical innovation and governance readiness, particularly in terms of institutional adoption, ethical frameworks, and digital equity. These findings contribute an evidence-based roadmap that advances both theoretical understanding of the AI–governance nexus in disaster risk reduction and practical guidance for policymakers designing adaptive, collaborative, and ethically grounded strategies in the data-driven era. Future research should address cross-national governance frameworks, digital equity in AI deployment, and the integration of community-responsive data systems into national disaster risk reduction ecosystems.
Co-Authors Albadii, Haidar Rifqi Anak Agung Gede Sugianthara Dewi, Mellyania Kencana Eva Safitri Fidah Syadidurahmah Fidah Syadidurahmah, Fidah Kundari, Nurul Fadhillah Levanta, Dhia Syarifa Mala Zelika Yahya Putri Mellyania Kencana Dewi Nasir, Narila Mutia Nurjazuli Nurjazuli Nurul Fadhillah Kundari Nuryanty, Cut Dian Putri Mulia Hayati Sibarani Putri, Mala Zelika Yahya Qonita Nur Salamah Safirah, Hanifati Safitri, Eva Salamah, Qonita Nur Salsabilla, Nilna Fasyya Sibarani, Putri Putri Mulia Hayati Wardani, Arum Cahya Yasinta Rahmawati