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All Journal IJIES (International Journal of Innovation in Enterprise System) Journal of Indonesian Specialized Nutrition
Anggreani, Riska
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Computer Science & IT Control & Systems Engineering Health Professions Immunology & microbiology Medicine & Pharmacology Nursing Public Health

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Analysis of Breastmilk-Based Nutrition on Reducing Morbidity in Premature Infants Pratiwi, Dessy; Anggreani, Riska; Basrowi, Ray Wagiu
Journal of Indonesian Specialized Nutrition Vol. 2 No. 4 (2024): Journal of Indonesian Specialized Nutrition
Publisher : Ridwan Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46799/jisn.v2i4.34

Abstract

Preterm and low birth weight (LBW) births remain a health challenge in Indonesia, with the prevalence of preterm births reaching 7-16% and LBW babies at 11.5%. Preterm infants are prone to various health complications, such as respiratory distress and infections, which increase morbidity rates. Breastfeeding is an important strategy in the care of preterm infants because it contains components that strengthen the immune system, prevent health complications, and support optimal growth and development. This study aims to provide more specific scientific evidence on the effectiveness of breastfeeding in reducing the risk of health complications in preterm infants. The results showed that breastfeeding plays a crucial role in reducing morbidity rates in premature infants, as it contains nutrients, antibodies and growth factors that strengthen the infant's immune system. Exclusive breastfeeding helps reduce the risk of complications such as gastrointestinal infections and respiratory distress, which premature infants often experience. In addition, breastmilk supports brain and nervous system development, increasing preterm infants' chances of healthy growth and development, making it an important intervention in efforts to reduce morbidity rates in preterm infants.
Implementing Consumer-based, Internet of Things-based Environmental Monitoring Systems within Smart Spaces Anggreani, Riska; Dwi Atmaji, Fransiskus Tatas; Gondosubroto, Renaldi
International Journal of Innovation in Enterprise System Vol. 2 No. 2 (2018): International Journal of Innovation in Enterprise System
Publisher : School of Industrial and System Engineering, Telkom University

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Abstract

Internet of Things (IoT) based Air quality measurement systems within smart cities have long been researched to find the most efficient way of collecting data for mitigation purposes in various areas. One of the biggest issues is the balance between flexibility and size for consumer-based measuring devices. This paper talks about a customized design of such a device, measuring nine different parameters that are considered crucial in any environment (CO2, CO, PM 1.0, PM 2.5, PM 10, temperature, humidity, pressure and altitude). This data is then communicated from the microcontroller through the Wi-Fi module attached to be able to access the data at a Graphical User Interface (GUI) made on GReS Studio’s website or also through other third-party services such as ThingSpeak. Analysis of a sample of the results obtained is also discussed. Keywords-Internet of Things, Smart City
Co-Authors Basrowi, Ray Wagiu Fransiskus Tatas Dwi Atmaji Gondosubroto, Renaldi Pratiwi, Dessy