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All Journal Jurnal Mahasiswa TEUB Journal of Nursing Science Update
Angelica, Stephania
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Education Health Professions Nursing

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Product Test of PostureCare as a Transformation of Kyphosis Posture Therapy Intervention in Children Integrated with The Internet of Things Hardiansyah, Farid; Anwar, Mochamad Saiful; Afif, Refaldi Ananta; Angelica, Stephania; Aditya, Irfan; Nurussa'adah, Nurussa'adah; Fatma, Endah Panca Lydia
Journal of Nursing Science Update (JNSU) Vol. 13 No. 1 (2025): May
Publisher : Department of Nursing, Faculty of Health Sciencce, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jik.2025.013.01.03

Abstract

Spinal disorders have been observed to increase during the COVID-19 pandemic. The prevalence of prolonged sitting habits during this period has significantly contributed to the rise in spinal disorders. According to the World Health Organization (WHO), between 250,000 and 500,000 individuals worldwide experience spinal disorders annually. Kyphosis, specifically, is frequently identified in children aged 7 to 11 years. In adolescents, kyphosis may be effectively managed through brace therapy. Although various braces are available in the market, they do possess certain limitations. To address such limitations, a technology named PostureCare has been developed to monitor spinal alignment during brace therapy. This technology enables the plotting of graphs enhanced by Internet of Things (IoT) connectivity within an application, thereby facilitating easier data monitoring for users and caregivers. The objective of this research is to design, test, and further develop the PostureCare application. The methodologies employed in this study encompass a literature review, the design and creation of tools and applications, followed by rigorous testing and evaluation. Testing of PostureCare was conducted on two children, during which gyroscopic sensor data were compared to readings from an inclinometer. The results indicated a cervical sensor deviation of 0.85° and a lumbar sensor deviation of 0.791°. The temperature assessment of the heating element revealed a range between 36°C and 40°C. Additionally, the vibration module was activated when the cervical sensor detected a tilt exceeding 25 degrees. Testing results from both children over a seven-day period demonstrated that the cervical sensor recorded an angle of less than 16°, with no signs indicating the presence of kyphosis. It can be concluded that PostureCare has been validated as a tool for detecting spinal ergonomics that may contribute to the development of kyphosis.
Analisis Optimasi Sistem Pada Pembangkit Hibrida (Bayu-Surya) dengan Kontroler PI Tuning Ant Colony Optimization Angelica, Stephania; Wibawa, Unggul
Jurnal Mahasiswa TEUB Vol. 14 No. 6 (2026)
Publisher : Jurnal Mahasiswa TEUB

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Meningkatnya penetrasi sumber energi terbarukan menuntut strategi pengendalian yang efisien untuk mengatasi karakteristik intermiten sumber daya angin dan matahari sekaligus menjaga stabilitas operasi sistem. Penelitian ini menyajikan analisis optimalisasi sistem pembangkit listrik hibrida angin–matahari yang terintegrasi dengan Sistem Penyimpanan Energi Baterai (BESS) menggunakan pengendali Proportional–Integral (PI) berbasis Ant Colony Optimization (ACO). Sistem hibrida ini terdiri dari PLTB berbasis Generator Sinkron Magnet Permanen (PMSG), susunan PLTS yang dilengkapi dengan Maximum Power Point Tracking (MPPT), konverter boost DC–DC, konverter buck–boost dua arah yang terhubung ke BESS, dan bus DC bersama. Algoritma ACO digunakan untuk menentukan nilai gain proporsional dan integral yang optimal pada pengendali PI dengan meminimalkan fungsi tujuan Integral Time Absolute Error (ITAE), sehingga meningkatkan regulasi tegangan bus DC di bawah kondisi kecepatan angin, irradiansi surya, dan beban yang bervariasi. Pendekatan yang diusulkan dimodelkan dan disimulasikan dalam MATLAB/Simulink untuk mengevaluasi kinerja sistem. Hasil simulasi menunjukkan bahwa pengendali PI berbasis ACO memberikan respons transien yang lebih cepat, overshoot yang lebih rendah, waktu penyelesaian yang lebih singkat, dan kesalahan keadaan mapan yang lebih rendah dibandingkan dengan penyetelan PI konvensional. Selain itu, pengendali yang dioptimalkan secara efektif mengoordinasikan pembagian daya antara PLTB, PLTS, dan BESS, memastikan tegangan bus DC yang stabil dan penyaluran energi yang andal meskipun terjadi fluktuasi dalam pembangkitan energi terbarukan. Temuan ini menunjukkan bahwa strategi optimasi yang diusulkan meningkatkan kinerja dinamis, ketahanan, dan keandalan operasional sistem energi terbarukan hibrida, menjadikannya solusi yang menjanjikan untuk aplikasi pembangkitan listrik berkelanjutan di masa depan. Keywords—Sistem energi terbarukan hibrida, Turbin Angin, Fotovoltaik, Sistem Penyimpanan Energi Baterai, Optimisasi Koloni Semut, MATLAB/Simulink 
Co-Authors Aditya, Irfan Afif, Refaldi Ananta Fatma, Endah Panca Lydia Hardiansyah, Farid Mochamad Saiful Anwar Nurussa'adah, Nurussa'adah Unggul Wibawa