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All Journal ComEngApp : Computer Engineering and Applications Journal International Journal of Research in Vocational Studies (IJRVOCAS)
Marniati, Yessi
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Aerospace Engineering Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Social Sciences Other

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Monitoring Tool for Electricity Usage in Residential Homes Based on the Internet of Things (IoT) Using BLYNK Application Nofiansah; Marniati, Yessi; Rumiasih; Yahya, Sudirman; Yani, Herman; Bofynna, Pio Agma
International Journal of Research in Vocational Studies (IJRVOCAS) Vol. 3 No. 3 (2023): IJRVOCAS - December
Publisher : Yayasan Ghalih Pelopor Pendidikan (Ghalih Foundation)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53893/ijrvocas.v3i3.226

Abstract

Electricity is a basic need of human beings. The consumption of electricity usage is getting bigger and bigger. Electricity usage is usually wasteful due to lack of public awareness and ineffective use of electricity. With this problem, the author aims to design loT-based electric power usage monitoring system in home electrical appliances. This tool is designed using sensors to detect the value of the voltage and current of the load attached to the electricity but still using the BLYNK application as a server and application to monitor the use of electric power through a smartphone application. The measurement results include the data of current, voltage, and electrical power used. This system can also remotely switch appliances ON/OFF. The test was conducted by comparing the results of the power value from the power meter with the power value in BLYNK application. After the test, the results of the comparison between the monitoring tool and the power meter measuring instrument obtained an average power error value of 0.5%. So that the accuracy value of the tool can also be 99.5%. With a large accuracy value, it means that the tool works well and can be used to monitor the use of electrical energy in households.
Anxiety Detection for Autism Children through Vital Signs Monitoring using a Socially Assistive Robot Prihatini, Ekawati; Damsi, Faisal; Husni, Nyayu Latifah; Muslimin, Selamat; Marniati, Yessi; Ramadhan, M. Daffa
Computer Engineering and Applications Journal Vol 14 No 1 (2025)
Publisher : Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18495/comengapp.v14i1.493

Abstract

Socially Assistive Robot (SAR) to detect anxiety levels in children with Autism Spectrum Disorder (ASD), a condition often accompanied by difficulties in recognising and expressing emotions, including anxiety. Early recognition of anxiety in children with Autism Spectrum Disorder (ASD) is crucial as it can affect their behaviour and social interactions. This SAR monitors vital signs namely blood pressure, heart rate and body temperature. This study involved children with Autism Spectrum Disorder (ASD) with two conditions, namely Asperger Syndrome and Classical Autism who interacted with a Socially Assistive Robot (SAR) equipped with a tensimeter (MPS20N0040D sensor) for blood pressure, MAX30100 sensor for heart rate, and MLX90614 sensor to measure body temperature. Results show that the Socially Assistive Robot (SAR) is able to measure vital signs with high accuracy and provide an indication of anxiety levels effectively, as vital signs correlate with anxiety levels. These findings demonstrate the potential of the Socially Assistive Robot (SAR) as a reliable tool in anxiety monitoring in children with ASD, with important implications for the development of future therapeutic interventions
Anxiety Detection for Autism Children through Vital Signs Monitoring using a Socially Assistive Robot Prihatini, Ekawati; Damsi, Faisal; Marniati, Yessi; Muslimin, Selamat; Husni, Nyayu Latifah; Ramadhan, M. Daffa
Computer Engineering and Applications Journal (ComEngApp) Vol. 14 No. 1 (2025)
Publisher : Universitas Sriwijaya

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

Abstract

Socially Assistive Robot (SAR) to detect anxiety levels in children with Autism Spectrum Disorder (ASD), a condition often accompanied by difficulties in recognising and expressing emotions, including anxiety. Early recognition of anxiety in children with Autism Spectrum Disorder (ASD) is crucial as it can affect their behaviour and social interactions. This SAR monitors vital signs namely blood pressure, heart rate and body temperature. This study involved children with Autism Spectrum Disorder (ASD) with two conditions, namely Asperger Syndrome and Classical Autism who interacted with a Socially Assistive Robot (SAR) equipped with a tensimeter (MPS20N0040D sensor) for blood pressure, MAX30100 sensor for heart rate, and MLX90614 sensor to measure body temperature. Results show that the Socially Assistive Robot (SAR) is able to measure vital signs with high accuracy and provide an indication of anxiety levels effectively, as vital signs correlate with anxiety levels. These findings demonstrate the potential of the Socially Assistive Robot (SAR) as a reliable tool in anxiety monitoring in children with ASD, with important implications for the development of future therapeutic interventions.
Co-Authors Bofynna, Pio Agma Faisal Damsi, Faisal Muslimin, Selamat Nofiansah Nyayu Latifah Husni, Nyayu Latifah Prihatini, Ekawati Ramadhan, M. Daffa Rumiasih Sudirman Yahya Yani, Herman