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All Journal International Journal of Renewable Energy Development JTSL (Jurnal Tanah dan Sumberdaya Lahan) INTEK: Jurnal Penelitian Indonesian Physical Review INDEPENDEN: Jurnal Politik Indonesia dan Global Jurnal Lanskap Politik
Arifin, A
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Agriculture, Biological Sciences & Forestry Chemistry Computer Science & IT Education Energy Engineering Environmental Science Physics Social Sciences

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Journal : Indonesian Physical Review

 1 
DETECTION OF DISPLACEMENT USING GLASS OPTICAL FIBER SENSOR WITH VARIOUS CONFIGURATION Lebang, Annamaintin Kobong; Arifin, A; Abdullah, Bualkar
Indonesian Physical Review Vol. 4 No. 3 (2021)
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/ipr.v4i3.124

Abstract

The research has measured the landslide using a displacement sensor based on Glass Optical Fiber (GOF) and Optical Time Domain Reflectometer (OTDR). The sensor manufacture process consists of various materials, structures, configurations, diameters, and directions. The sensor is made using GOF with a single-mode structure and single mode-multimode-Singlemode (SMS) structure. Each system is given a variety of configurations, namely gamma, bowknot, and three loops configuration. Each arrangement is provided a variation of the indentation diameter in three displacement directions. The test results will be read as the power loss on the OTDR in dB units. The results obtained were then compared between two materials, two structures, and directions. Displacement resulting landslides and changes to the sensor, causing power losses, and affecting the characteristics of each sensor. We found the best measurement results with the sensitivity value of 0.241 dB/mm and the resolution value of 0.004 mm. The displacement sensor has been made for measuring landslide in the laboratory-scale simulation based on GOF and OTDR with easier fabrication, easy operation, high sensitivity, better resolution and can be connected to a computer
INTERNET OF MEDICAL THINGS (IoMT)-BASED HEART RATE AND BODY TEMPERATURE MONITORING SYSTEM Laila, Ida; Arifin, A; Armynah, Bidayatul
Indonesian Physical Review Vol. 5 No. 1 (2022)
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/ipr.v5i1.134

Abstract

Research has been carried out on a heart rate and body temperature monitoring system based on the Internet of Medical Things (IoMT). This study aims to create a system for monitoring heart rate and body temperature remotely in real-time with measurement results displayed on a web server. This research includes several methods such as developing research concepts based on literature studies, system design consisting of hardware and software design, sensor calibration, web server creation, system testing, and direct data retrieval. The hardware manufacturing stage uses several components such as a pulse heart sensor to detect heart rate, DS18B20 sensor to detect body temperature, Arduino Uno microcontroller, Xbee end device, Xbee coordinator, and raspberry pi as a server computer. Then for the use of software on this system, it consists of Arduino Integrated Development Environment (IDE) to run Arduino Uno hardware, XCTU to provide configuration on Xbee, Python to run Raspberry Pi and Django as a framework for building web servers and MySQL as data storage center measurement results. Heart rate monitoring is done by placing a sensor on one of the fingers, and body temperature is done by placing the sensor in the axilla. The output from the sensor in the form of analog data is converted by the Arduino Uno microcontroller into digital data and then sent to the Raspberry Pi module via Xbee. The raspberry pi has processed data is then stored in the database and then displayed on the webserver. The sensor calibration results show that the pulse heart sensor's error rate is 0.41%, and the DS18B20 temperature sensor is 1.09%. After calibration of the sensor, data was collected on the three respondents' heart rate and body temperature. The measurement results show that the system can store each respondent's heart rate and body temperature data in the database and display the measurement results on the webserver in real-time. Based on these results indicate that the system that has been made can work well.
WATER LEVEL MONITORING SYSTEM IN WATER UTILITY COMPANY OPEN CHANNELS BASED ON INTERNET OF THINGS Danti, Trisna Elma; Abdullah, Bualkar; Arifin, A
Indonesian Physical Review Vol. 5 No. 3 (2022)
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/ipr.v5i3.155

Abstract

Monitoring the water level in the open channels of the regional water utility company needs to be carried out to ensure the availability of raw water to be processed. This research focuses on making a prototype of a water level monitoring system in an open channel utilizing the WSN (Wireless Sensor Network) component as an application of the IoT (Internet of Things) concept. Monitoring the water level in the open channel is carried out using the infrared sensor GP2Y0A02KF0Y. The real-time measurement results are then sent using XBee wireless communication, then processed by the Raspberry Pi to be saved to a database and displayed on the website. The measurement data can be presented on the website in graphs and tables. The GP2Y0A02YK0F sensor has a measurement error of 1.02% with a correlation coefficient of 0.9998. The average delay in sending data to the website is 1 second. The monitoring system can work well when measuring the water level in an open channel. The advantages of this research are that the instrument used has a high level of accuracy at an affordable price, uses low power, is easy to operate, and can store and present real-time data
Co-Authors Abdullah Nur Aziz Abdullah, Bualkar Aminuddin, Jamrud Armynah, Bidayatul Bilalodin Bilalodin Danti, Trisna Elma Datubara, Laura Angelina Rotua Dede Rohmat Eka Wulan Safriani Farzand Abdullatif Iwan Setiawan Laila, Ida Lebang, Annamaintin Kobong Lili Somantri Mahrawa, Faisal Andri Muhammad Ardian, Muhammad Muhammad Yunus Mukhtar Effendi Nurhayati Nurhayati Nurul Fuadi Pakhrur Razi Panjaitan, Budi Rahmah Sembiring, Mhd Irfan Sunardi Sunardi SYAFAR, A. MUHAMMAD Widiyani, Agustina Wihantoro Wihantoro