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All Journal Jurnal EECCIS International Journal Of Science, Technology & Management (IJSTM)
Rahmadwati
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Aerospace Engineering Agriculture, Biological Sciences & Forestry Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Mechanical Engineering Transportation

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A Multifunction Infant Incubator Monitoring System with Phototherapy and ESP-32 Based Mechanical Swing Fadilla, Rafa; Andi Nurul Isri Indriany Idhil; Monika Ayu Puji Anggraini; Ajeng Kusuma Dewi; Mochammad Rofi Sanjaya; Muhammad Yogi Nurrohman; Rahmadwati
International Journal of Science, Technology & Management Vol. 1 No. 4 (2020): November
Publisher : International Journal of Science, Technology & Management

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46729/ijstm.v1i4.93

Abstract

Many infant mortality rates are due to premature events. Premature babies are at high risk for hypothermia and hyperbilirubinemia. To overcome this, an incubator can be used as a warmer and light therapy as blue light therapy for yellow babies. However, both medical devices have still been found using manual control. If the health worker is tired of working and manually controlling both devices, it can put the baby at risk. Multifunctional infant incubator based on ESP32, which is an infant incubator equipped with phototherapy and a mechanical swing. This multifunctional baby incubator has the ability to warm the baby's body, the baby yellow light therapy, and can calm the baby when crying. This tool can be monitored remotely using the Internet of Things (IoT). The sensors used are the DHT22 sensor and the sound sensor. Multifunctional baby incubator can make it easier for hospital or basic health care facility level to monitor baby's health in real time without being at the device location and the resulting data can be stored neatly.
Parallel Implementation of Gaussian Filter Image Processing on a Cluster of Single Board Computer Achmad Nurul Fauzie; Setyawan Purnomo Sakti; Rahmadwati
Jurnal EECCIS (Electrics, Electronics, Communications, Controls, Informatics, Systems) Vol. 17 No. 3 (2023)
Publisher : Faculty of Engineering, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/jeeccis.v17i3.1672

Abstract

Gaussian filters are widely used in image processing applications, such as edge detection, segmentation, and feature extraction. However, computationally intensive computations can take a long time to process large images. Therefore, a parallel algorithm implementation is necessary to accelerate the process. The authors proposed the use of Orange Pi SBCs for parallel image processing tasks involving a Gaussian filter. This paper outlines the steps for implementing a parallel Gaussian filter on a cluster of SBCs. The performance of the parallel implementation was evaluated in terms of speedup and efficiency, which are essential parameters for measuring the effectiveness of the approach. The parallel implementation speedup is described as the ratio of the time required by the serial implementation to that required by the parallel implementation. The parallel implementation efficiency is described as the speedup ratio of the number of SBCs in a cluster. The results of the performance evaluation show that the parallel implementation of the Gaussian filter on a cluster of Orange Pi SBCs can achieve significant speedup and efficiency compared to the serial implementation. The speedup increases with the number of SBCs used in the cluster. Using four SBCs can result in a speedup of up to 2.1 times faster than serial implementation. The efficiency also increases with the number of SBCs used in the cluster. Using four SBCs could achieve an efficiency of up to 53.4%.
Co-Authors Achmad Nurul Fauzie Ajeng Kusuma Dewi Andi Nurul Isri Indriany Idhil Fadilla, Rafa Mochammad Rofi Sanjaya Monika Ayu Puji Anggraini Muhammad Yogi Nurrohman Setyawan Purnomo Sakti