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RANCANG BANGUN TACHOMETER DIGITAL BERBASIS ARDUINO DILENGKAPI CHARGING DAN MODE PENYIMPAN DATA Harsoyo, Imam Tri; Nugroho, Andi Kurniawan; Nuriman, Nuriman
Elektrika Vol. 11 No. 2 (2019): Oktober 2019
Publisher : Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (623.74 KB) | DOI: 10.26623/elektrika.v11i2.1692

Abstract

A good and feasible centrifuge is needed in the world of health, therefore a digital tachometer is needed to calibrate a centrifuge. Digital tachometer is a measuring instrument used to measure the rotation speed of a motor. This tachometer will be tested to function by being compared to using Digital Laser Photo Tachometer. This tachometer will display the number of rotations per minute of a motor according to the speed setting on the centrifuge using the output of this E18-D80NK sensor which will later be processed by the Arduino Nano. As for this feature charger and data storage mode, so that user can save the data of measurement results on SD Card, and beside that user can also be a way of charging when after usage or before usage. At testing the tool used point settings 1000, 2000, 3000, 4000, 5000, and 12000 RPM. Based on the measurement results of centrifuge using tachometer module and comparison tachometer have average percentage of error varying at each setting point. The smallest error 0.8% at the setting Point 3000 RPM, while the largest error 4.9% at the setting point 1000 RPM. The Tacometer error value on this Centrifuge measurement is still within the tolerance limit of ± 10%
RANCANG BANGUN BANTAL TERAPI BERBASIS ARDUINO Ningtias, Diah Rahayu; Sudarma, Made Putra; Harsoyo, Imam Tri
Elektrika Vol. 11 No. 2 (2019): Oktober 2019
Publisher : Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/elektrika.v11i2.1706

Abstract

One form of physiotherapy is utilizing heat for recovery. Heat therapy can open blood vessels wider, thereby increasing blood flow and supply of oxygen and nutrients to reduce pain in joints, muscles, ligaments and injured tanks. To help health services in the field of physiotherapy the author modifies the therapeutic pillow with Arduino Uno and DS18B20 based as a temperature sensor, LCD as a temperature viewer and a timer and button that functions to choose how long it takes to do therapy. The design of therapeutic pillows is divided into two, namely hardware and software design, hardware design including power supply, a series of drivers and system scenarios. While the software design of this tool uses the Arduino and proteus applications as software. The result of the percentage error at the TP2 measurement is 0.02%. The measurement results on TP3 when the tool is off or off, then the circuit does not get a voltage while when the device is turned on or on the driver circuit gets a voltage of 1.4 Volt. After making the process of making, testing, testing tools and data collection, the author has succeeded in designing a heat therapy pillow using a temperature sensor and ARDUINO UNO based timer controller that can provide convenience when going to heat therapy because it is equipped with an automatically controlled temperature sensor and controller timer. by DS1820 temperature sensor. A therapeutic pillow based on Arduino with 10 minutes of therapy results in a temperature of 41 °C.  
Monitoring Suhu pada Infant Warmer Menggunakan INCU Analyzer Berbasis Arduino Ningtias, Diah Rahayu; Wahyudi, Bayu; Harsoyo, Imam Tri
Elektrika Vol. 13 No. 1 (2021): April 2021
Publisher : Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/elektrika.v13i1.3118

Abstract

Temperature is the most important parameter in monitoring Infant Warmer medical equipment. In this study, temperature monitoring was carried out on the Lullaby GE Infant Warmer using INCU based on Arduino Uno. The temperature setting used was 34 ° C, 35 ° C, 36 ° C and 37 ° C with each setting repeated 3 times. The temperature sensor used in the INCU analyzer for T1 to T4 is DS18B20, while the T5 uses a DHT22 temperature sensor. At the Infant Warmer temperature, a low error value was obtained for all temperature settings, namely a temperature of 34 ° C with an error of 0.02, a temperature of 35 ° C with an error of 0.03, a temperature of 36 ° C with an error of 0.004 and a temperature of 37 ° C with an error of 0. The INCU analyzer output low temperature is at T5, with temperature settings of 34 ° C, 35 ° C, 35 ° C and 37 ° C respectively 0.009, 0.07, 0.11 and 0.28. While the error value on T1 to T4 ranges from 0.37, namely at T3 for a temperature setting of 35 ° C to 0.84, namely at T3 for a setting of 37 ° C. It can be concluded that the INCU analyzer that has a high degree of accuracy is the T5 using the DHT22 temperature sensor.
Hubungan Pemakaian Gadget Terhadap Indeks Massa Tubuh (IMT) Siswa SD Maranatha 01 Kota Semarang Yuniarti, Christina Ary; Harsoyo, Imam Tri
Indonesian Journal of Health Community Vol 6 No 2 (2025): Volume 6 Nomor 2 Tahun 2025
Publisher : Universitas Ivet

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31331/ijheco.v6i2.4197

Abstract

The rapid development of information technology, especially in gadgets, has changed people's lifestyles. This study aims to determine the relationship between the duration of gadget use and Body Mass Index (BMI) in students at Maranatha 01 Elementary School, Semarang City. This study used a quantitative, objective approach with a sample of 42 respondents. Parameters measured included height and body mass using an automatic BMI tool. Next, questionnaires were collected, and data were analyzed using the chi-square test and linear regression. The results showed that the majority of students used gadgets for less than two hours per day and began using gadgets after the age of five. According to the analysis, there was no significant relationship between the duration of device use and students' BMI status (p=0.721), and the effect was very weak in the regression analysis (p=0.729). This suggests that time spent using devices is not the primary factor influencing children's BMI. Other factors such as diet, physical activity levels, and genetic predisposition play a greater role in determining children's nutritional status. It is hoped that this research will serve as a basis for developing more comprehensive child health policies and programs in the modern era.