Article Per Year (5 Year)
p-Index From 2021 - 2026
1.953
P-Index
This Author published in this journals
All Journal Jurnal Kajian Ilmiah Kesehatan Dan Teknologi (JKIKT) JE-Unisla Jurnal Abdi Insani Lumbung Inovasi: Jurnal Pengabdian Kepada Masyarakat Health Media Journal of Electrical Engineering Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics International Journal of Advances in Educational Research
Hariyono, Muhammad Akbar
Unknown Affiliation
Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Nursing Public Health Social Sciences Other

Published : 13 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search
Journal : Health Media

 1 
PROTOTYPE BABY INCUBATOR DENGAN SISTEM MONITORING BAK AIR BERBASIS INTERNET OF THINGS (IOT) Muhammad Akbar Hariyono; Upik Ari Erlita; Bayu Setyo Wibowo
Health Media Vol 4 No 2 (2023)
Publisher : UrbanGreen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55756/hm.v4i2.130

Abstract

Baby Incubator is a rigid box-like enclosure for protection temperature range 32 – 37oC and humidity range 50 – 60% RH inside. Heating temperature occurs in Baby Incubator because heating element on, while humidity occurs when water evaporation in chamber which will make the air in a wet state. If water in chamber is empty or runs out, then it will affect the humidity in Incubator and it’s dangerous for babies, because it make back burnt effect from air in incubator to hot, then is necessary monitoring with concept of IoT who utilize the web of the internet for get hold of data temperature, humidity and water in chamber to make nurses easier for monitoring. Researchers use methods reseach and development that would create a product concept of a circuit prototype Baby Incubator IoT Based. The hardware on this prototype is made up of Arduino uno, NodeMCU ESP32S, Seven Segment, Sensor DHT22, Sensor ultrasonic US-100, Buzzer and push button. Based on the results of testing and validation from media experts and material experts, the Baby Incubator Prototype tool with Waterlevel Sensor equipped with IoT-Based Water Tank Monitoring, it can be concluded that the prototype can be declared to meet the category of eligibility Very Eligible to apply or proceed to the mass production stage so that it can facilitate in the process of monitoring temperature, humidity, and water volume in the Baby Incubator tool.
PROTOTYPE ALAT TERAPI SHOULDER WHEEL DILENGKAPI MONITOR WAKTU TERAPI DAN SUDUT BERBASIS ARDUINO Upik Ari Erlita; Bayu Setyo Wibowo; Muhammad Akbar Hariyono
Health Media Vol 4 No 2 (2023)
Publisher : UrbanGreen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55756/hm.v4i2.131

Abstract

Shoulder wheel is a therapeutic equipment used to train the movement of the joints in the shoulder and prevent muscle shrinkage. This tool utilizes the rotation of the motor to assist the patient in moving the arm so that the constriction of the blood vessels in this area will decrease and the shrinking of the muscles in the patient can be prevented and is expected to be able to move like normal conditions. This shoulder wheel therapy tool is made with additional angle and time monitors to make it easier for operators and patients to perform joint range of motion exercises optimally. The purpose of making this shoulder wheel therapy tool is to make it easier for physiotherapy users to examine patients so that further actions do not increase the risk of injury to the shoulder of patients who have frozen shoulder. The tool designed in this study is controlled by Arduino Uno by utilizing an optocoupler sensor as an angle sensor and a 16X2 LCD as a monitor for the duration of therapy. A DC motor is used to move the wheel so that the wheel can rotate so that it can help therapy for patients. Based on the results of measuring the power supply voltage, the average measured voltage value is 11.2 VDC. Then the Buzzer voltage measurement obtained an average value of 4.87 VDC and the optocoupler sensor measurement for an angle of 45 degrees had an error percentage of 3.8%, an angle of 90 degrees with an error of 0.58% and at an angle of 180 degrees with a percentage error value 1%.
Modifikasi Alat Back And Leg Dynamometer Digital Dilengkapi Parameter Pengklasifikasian Kekuatan Otot Tungkai Dan Otot Punggung Berbasis Arduino Kusnadi, Kusnadi; Maya Sari, Hikmah; Setiawan, Aldinor; Hariyono, Muhammad Akbar
Health Media Vol 5 No 1 (2023)
Publisher : UrbanGreen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55756/hm.v5i1.167

Abstract

Back And Leg Dynamometer is a tool used to measure the components of back muscle strength, leg muscles of athletes, patients and workers to evaluate the physical status of performance and task demands. Because it will be beneficial for physical development. The method used in this study is Research and Development (RnD), by developing from previous research. The development carried out is in the addition of measurements for the leg and back muscle modes with a classification system that is carried out automatically with the aim of facilitating the user in measuring the strength of the leg muscles and back muscles. The results of product testing from data in the field can be summarized as follows. Comparison results of the Digital Back and Leg Dynamometer designed with the Analog Back and Leg Dynamometer have a measurement error value of 3%. The voltage generated by the battery is 10.59 Vdc with an error value of 1.59 Vdc and an error accuracy of 0.17%. On Arduino Nano measurements the resulting voltage is 4.75 Vdc with an error value of 0.24 Vdc and an accuracy of errors 4.98%.
Co-Authors A Halim Al Farizi, Hafiz Anshari, Ridho Arief Marwanto Ariyani, Gina Bayu Setyo Wibowo Bayu Setyo Wibowo Donny Martha Farizi, Hafiz Al Fatimah Fatimah Gutrio Habibi, Ahmad Faqih Hazizah, Hazizah Hikmah Maya Sari Isna Isna JAPERI JAPERI Maya Sari, Hikmah Muhammad Alpian Hadi Muhammad Zaini Persadha, Galih Priyadi, Budi Rakhmad Rizkiansyah Rizkiansyah, Rakhmad Robittah, Ahmad Rusdiansyah Rusdiansyah Saputra, M Risky Setiawan, Aldinor Suryani Alifah Syauqi, Muhammad Fuad Syukur Yakub Tahdi, Muhammad Tengku Riza Zarzani N Upik Ari Erlita Upik Ari Erlita Widyawati, Tri Aksari Yuliana Salman