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All Journal Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Archives of Pediatric Gastroenterology, Hepatology, and Nutrition
Rania, Ghina
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Computer Science & IT Decision Sciences, Operations Research & Management Medicine & Pharmacology

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Bone Mineral Disorders in Children with Predialysis Chronic Kidney Disease Correlates with Short Stature Rania, Ghina; Puspitasari, Henny Adriani; Hidayati, Eka Laksmi; Hafifah, Cut Nurul
Archives of Pediatric Gastroenterology, Hepatology, and Nutrition Vol. 3 No. 1 (2024): APGHN Vol. 3 No. 1 February 2024
Publisher : The Indonesian Society of Pediatric Gastroenterology, Hepatology, and Nutrition

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58427/apghn.3.1.2024.12-23

Abstract

Background: The increasing prevalence of malnutrition and growth impairment among children with CKD could impact the prognosis and the preferred intervention. Therefore, this study aimed to identify the nutritional status of children with CKD and its relating factors. Method: A cross-sectional study was conducted in a tertiary, national-referral teaching hospital in Jakarta. Sociodemographic and laboratory data were obtained from medical records. Body weight and height of participants were measured using digital scale and stadiometer, respectively. Growth and nutritional status indicators such as BMI-for-age, weight-for-height, height for age, and weight for age were quantified and plotted using WHO Anthro and Anthroplus application. Result: A total of 18 participants aged 3-17 years old with CKD stage 3 – 5 were included in this study. BMI measurements showed a z-score average of -1.02, while the mean z-score for height-for-age was of -2.71. Our study demonstrated a significant association between the height-for-age and mineral bone in children with CKD (p = 0.005). However, we found no association between mineral bone disorder with other indicators of nutritional status. Furthermore, our study also found no significant relation between nutritional status and other influencing factors including the stage of CKD, duration of CKD, age, gender, primary etiological factor, hypertension, anemia, age, familial economic status, disease duration, and parental education level demonstrates no significant correlation (p > 0.05). Conclusion: Children with stage 3 – 5 CKD in the pre-dialysis phase are shown to be underweight and short statured but with normal nutritional status. Mineral bone disorder was revealed to be significantly associated with height-for-age in children with CKD.
Rancang Bangun Smart Squeeze Cage Berbasis Internet of Things untuk Monitoring Bobot dan Rekomendasi Pakan Ternak Rania, Ghina; Rifki Munawar, Muhammad; Bonardo Marpaung, Ilham; Tiftazani, Hafiz; Nasir, Muhammad
JURNAL FASILKOM Vol. 16 No. 2 (2026): Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer)
Publisher : Unversitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/jf.v16i2.11980

Abstract

The development of precision livestock farming requires robust and automated data collection tools to minimize animal stress and improve farm efficiency. Traditional livestock weighing methods often lack immediate data access and do not support dynamic resource planning. This study designs and implements a Smart Squeeze Cage based on the Internet of Things (IoT) integrated with a Random Forest Regressor algorithm for real-time livestock weight monitoring and feed optimization. The system integrates four load cell sensors connected in parallel, an HX711 amplifier, and an ESP32 microcontroller embedded within a customized Squeeze Cage structure. Weight data is transmitted via wireless protocol to a centralized cloud database using Supabase and PostgreSQL. Based on historical data, the Random Forest model automatically predicts livestock weight trends and calculates daily feed requirements to provide intelligent recommendations. Testing results indicate high sensor precision with an accuracy of 97% (error tolerance of 0,5 kg), data transmission latency of 1.2 seconds, and a successful data delivery rate of 99.1%. This system offers a seamless, non-invasive solution for data-driven livestock management in modern farming environments.
Co-Authors Bonardo Marpaung, Ilham Eka Laksmi Hidayati, Eka Laksmi Hafifah, Cut Nurul Henny Adriani Puspitasari, Henny Adriani Muhammad Nasir Rifki Munawar, Muhammad Tiftazani, Hafiz