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All Journal Indonesian Journal of Electrical Engineering and Computer Science Gema Lingkungan Kesehatan
Tang, Michelle
Unknown Affiliation
Environmental Science Health Professions Immunology & microbiology Public Health

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Early skin disease diagnosis by using artificial neural network for internet of healthcare things Wan Bejuri, Wan Mohd Yaakob; Mohamad, Mohd Murtadha; Tang, Michelle; Ahmad Khair, Aina Khairina; Adriyansyah, Yusuf Athallah; Kasmin, Fauziah; Tahir, Zulkifli
Indonesian Journal of Electrical Engineering and Computer Science Vol 37, No 2: February 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v37.i2.pp1032-1041

Abstract

Internet of healthcare things (IoHT) represents a burgeoning field that leverages pervasive technologies to create technology driven environments for healthcare professionals, thereby enhancing the delivery of efficient healthcare services. In remote and isolated areas, such as rural communities and boarding schools, access to healthcare professionals (especially dermatologists) can be particularly challenging. However, these areas often lack the specialized expertise required for effective skin disease consultations. Thus, the purpose of this research is to design a scheme of early skin disease diagnosis for internet of healthcare things that is accessible anywhere and anytime. In this research, the image of skin disease from patient will be taken by using a mobile phone for predicting and identifying the disease. This proposed scheme will diagnose skin disease and convert it be meaningful information. As a result, it show our proposed scheme can be the most consistent in term of accuracy and loss compared to others method. Overall, this research represents a significant step toward improving healthcare accessibility and empowering individuals to manage their own health. Furthermore, the proposed scheme is anticipated to contribute significantly to the IoHT field, benefiting both academia and societal health outcomes.
Microplastics Contamination in Breast Milk and Infant Milk Products in Indonesia Sincihu, Yudhiakuari; Susetio, Mercy Mezia; Tang, Michelle; Julian, Alvin; Sudewi, Ni Putu; Lestari, Kusuma Scorpia; Ningrum, Prehatin Trirahayu
Gema Lingkungan Kesehatan Vol. 23 No. 3 (2025): Gema Lingkungan Kesehatan
Publisher : Poltekkes Kemenkes Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36568/gelinkes.v23i3.288

Abstract

Microplastics contamination has been detected in milk consumed by infants, with estimates suggesting an intake of 106-113 microplastic particles per day. These particles may pose potential health risks. However, the microplastic contamination in breast milk and formula milk in Indonesia remain unclear. This study aims to address this gap. This study employed a descriptive observational design with a cross-sectional approach. Microplastic detection was carried out on four groups: fresh breast milk, breast milk stored in plastic bags, powdered formula milk, and liquid formula milk. Breast milk samples were collected from breastfeeding mothers at Puskesmas Mulyorejo, while formula milk was obtained from various market in Surabaya. The processed samples were filtered using filter paper, and the retained particles were examined. The number and shape of microplastic particles were identified using a binocular microscope, while the polymer characteristics were analyzed using micro-FTIR. The average number of microplastic particles was highest in powdered formula milk (15.34±4.74), followed by liquid formula milk (11.59±9.50), stored breast milk (6.07±5.46), and fresh breast milk (1.41±1.50). Microplastic contamination was not detected in 17 out of 46 breast milk samples. Fragmented microplastic particle shapes dominated all samples. Nylon and Polymethyl Methacrylate were the most common plastic polymers in breast milk, while Polyoxymethylene, Polyvinyl Chloride, and Polymethylpentene were prevalent in formula milk. In conclusion, microplastic contamination in breast milk was minimal compared to formula milk, making breast milk the best feeding option for infants.
Co-Authors Adriyansyah, Yusuf Athallah Ahmad Khair, Aina Khairina Julian, Alvin Kasmin, Fauziah Kusuma Scorpia Lestari, Kusuma Scorpia Mohamad, Mohd Murtadha Ni Putu Sudewi, Ni Putu Prehatin Trirahayu Ningrum Sincihu, Yudhiakuari Susetio, Mercy Mezia Wan Bejuri, Wan Mohd Yaakob Zulkifli Tahir