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All Journal FIRM: Journal of Management Studies PREPOTIF : Jurnal Kesehatan Masyarakat Science Midwifery
Ruhdiat, Rudi
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Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Health Professions Nursing Public Health Social Sciences Veterinary

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THE EFFECT OF EXCLUSIVE BREASTFEEDING ON INFANT IMMUNITY STATUS THROUGH SICK BABY VISITS AT THE PUSKESMAS IN SUMBERJAYA VILLAGE Ihsani, Hurin Azmi; Ruhdiat, Rudi
PREPOTIF : JURNAL KESEHATAN MASYARAKAT Vol. 9 No. 1 (2025): APRIL 2025
Publisher : Universitas Pahlawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/prepotif.v9i1.33491

Abstract

Jumlah keluhan kesehatan di Indonesia meningkat, terutama pada anak usia 0–4 tahun dengan prevalensi 37,40% (BPS, 2023). Persentase rawat inap pada balita juga tinggi, mencapai 5,10%. Salah satu pencegahan yang dapat dilakukan adalah pemenuhan gizi melalui ASI eksklusif pada bayi usia 0–6 bulan, yang mendukung sistem kekebalan tubuh secara optimal karena kandungan nutrisinya yang kompleks. Penelitian ini bertujuan untuk mengetahui pengaruh ASI eksklusif terhadap sistem kekebalan bayi dengan mengamati kunjungan bayi sakit di Puskesmas Desa Sumberjaya. Fokus penelitian adalah korelasi antara pemberian ASI eksklusif dan kekebalan bayi. Metode penelitian ini adalah kuantitatif deskriptif dengan pendekatan cross-sectional retrospektif. Data dikumpulkan melalui kuesioner dan pencatatan kunjungan bayi sakit di Puskesmas dengan responden bayi usia 0–12 bulan yang menerima ASI eksklusif selama 0–6 bulan. Data dianalisis menggunakan perangkat lunak Smart PLS 3 untuk mengidentifikasi korelasi antara pemberian ASI eksklusif dan status kekebalan bayi. Hasilnya menunjukkan hubungan signifikan antara pemberian ASI eksklusif dan status kekebalan bayi dengan nilai T <1,65 sebesar 0,979. Temuan ini menegaskan pentingnya ASI eksklusif dalam mendukung imunitas bayi usia 0–12 bulan, berkontribusi pada upaya meningkatkan kesehatan bayi di Indonesia.
The effect of shift workload on the sleep quality of nurses at Bekasi Regency Hospital Tantular, Gabriella; Montolalu, Ivan Adrian; Melati, Rima; Ruhdiat, Rudi; Syafira, Eka Suci; Abrar, Ligadhea
Science Midwifery Vol 12 No 6 (2025): February: Health Sciences and related fields
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/midwifery.v12i6.1847

Abstract

Nurses form a very important arm of healthcare providers that offer direct patient care services in treatment facilities. Constant shift work is typical to the nursing profession more so in hospitals that are opened round the clock medical facilities. The major challenge encountered is the lack of perfect correlation between shift workload and quality of sleep among the nurses of RSUD Bekasi. Therefore, the purpose of the study is to established the correlation between sleep quality and shift workload of the nurses in RSUD Kabupaten Bekasi. The study adopts a quantitative research approach with observational analytical research design and cross-sectional study design. The population comprises the nurses who work at night shift in the Bekasi District Hospital. The sample was purposively selected in this study. The research variables are shift workload and sleep quality. Data collection involved the use of the Occupational Fatigue Exhaustion Recovery (OFER) and the Pittsburgh Sleep Quality Index. (PSQI). Descriptive statistics were used to compare variables during data analysis by employing statistical tests. The study involved 203 respondents, with the majority being female (58.9%) and working in inpatient wards (76.7%). The results of the statistical test show a significant relationship between shift workload and sleep quality (p<0.001). The higher the shift workload, the worse the nurses' sleep quality. There is a significant correlation between shift workload and nurses' sleep quality at the Bekasi District Hospital. The research recommends a reconsideration of the shift work system to maintain the well-being of nurses and the quality of healthcare services.
Telemedicine and AI in Occupational Skin Disease Management: A Contemporary Review Purwoko, Reza Yuridian; Muliadi, Jemie; Roestam, Rusdianto; Wan Sen, Tjong Wan Sen; Pamungkas, Lukas Sangka; Nugroho, Anto Satriyo; Armi, Nasrullah; Supriyadi, Muhamad Rodhi; Melati, Rima; Alfaqih, Muhammad Subhan; Montolalu, Ivan Adrian; Ruhdiat, Rudi; Ferianasari, Inneke Winda; Aryanti, Evy Aryanti; Saputra, Silvan; Asmail, Asmail; Rahayaan, Manuela; Hi Rauf, Siti Nuraini
FIRM Journal of Management Studies Vol 8, No 2 (2023): FIRM JOURNAL OF MANAGEMENT STUDIES
Publisher : President University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33021/firm.v8i2.5802

Abstract

Occupational skin diseases present significant challenges to workplace health, impacting both productivity and quality of life. The integration of telemedicine and artificial intelligence (AI) has transformed dermatological care by facilitating remote consultations, enabling early diagnosis, and supporting continuous monitoring. The COVID-19 pandemic has accelerated the adoption of digital health solutions, underscoring their potential to enhance accessibility and efficiency in occupational dermatology.AI-driven innovations, including machine learning algorithms and wearable technologies, have further improved diagnostic accuracy and patient management. However, challenges such as healthcare disparities, technological limitations, and workplace-specific factors continue to hinder widespread implementation. This review explores the evolving role of telemedicine and AI in managing occupational skin diseases, highlighting key challenges, emerging opportunities, and policy considerations for enhancing workplace health outcomes.
Co-Authors Abrar, Ligadhea Alfaqih, Muhammad Subhan Anto Satriyo Nugroho, Anto Satriyo Aryanti, Evy Aryanti Asmail, Asmail Ferianasari, Inneke Winda Gabriella Tantular, Gabriella Hi Rauf, Siti Nuraini Ihsani, Hurin Azmi Montolalu, Ivan Adrian Muliadi, Jemie Nasrullah Armi Pamungkas, Lukas Sangka Purwoko, Reza Yuridian Rahayaan, Manuela Rima Melati Rusdianto Roestam Saputra, Silvan Supriyadi, Muhamad Rodhi Syafira, Eka Suci Wan Sen, Tjong Wan Sen