Claim Missing Document
Check
Articles

Found 5 Documents
Search
Journal : JURNAL MEDIA INFORMATIKA BUDIDARMA

Alat Penghitung Jumlah Gerakan Pull Up dan Push Up Menggunakan Sudut Kemiringan pada Sensor MPU6050 Berbasis Internet Of Things Putra, Dimas Ade; Jufrizel, Jufrizel; Ullah, Aulia; Maria, Putut Son
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 8, No 1 (2024): Januari 2024
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v8i1.6937

Abstract

The pull-up and push-up counter device is designed to automatically count the number of pull-up and push-up repetitions performed by an individual. The problem faced is errors in performing pull-up and push-up movements and the limitation of manual counting, which solely relies on remembering the total count of movements from the previous day. This can lead to uncertainty in monitoring the progress of the exercise. The purpose of this research is to develop a pull-up and push-up counter device that utilizes the Internet of Things (IoT) and is connected to the Blynk application on a smartphone to provide ease and accuracy in recording exercise repetitions, eliminate the difficulties of manual counting, and provide real-time data to users for monitoring and tracking their exercise progress. This device is equipped with an MPU 6050 sensor that can detect changes in angular acceleration in the arms. The methodology applied in this research is the Research and Development (R&D) method, which includes product efficiency testing and product development. The research results show that this device can connect to Wi-Fi networks effectively, and its status can be viewed through the LCD display on the device as well as the Blynk application, which displays an online status when the device is connected and an offline status when it is not. The MPU 6050 sensor works effectively in detecting the user's inclination at the specified angles, forming a 70 angle for pull-up movements and a 90 angle for push-up movements. Testing was conducted using a comparative method between manual counting and counting using the device. In the tests conducted at three different movement speeds, it was found that fast movements in pull-ups resulted in a difference in counting of 7.6%, while in push-ups, there was a difference in counting of 6.8%. These differences were due to the device's inability to detect the intended angles of inclination accurately. On the other hand, movements at moderate and slow speeds showed a 0% difference in counting for both pull-ups and push-ups.
Prototype Resusitasi Jantung Paru (RJP) menggunakan Motor Nema 23 dan Sensor Detak Jantung untuk Memudahkan Media Interface Maili, Ramadoni; Jufrizel, Jufrizel; Ullah, Aulia; Maria, Putut Son
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 8, No 3 (2024): Juli 2024
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v8i3.7690

Abstract

The growth of technology has an important role in supporting medical equipment facilities, especially for tools for providing compression or cardiopulmonary resuscitation (CPR). CPR is a first aid measure for victims of sudden cardiac arrest in which cardiac compression is carried out for 4 cycles, each cycle consisting of 30 compressions. CPR given manually can endanger the victim due to certain factors such as insufficient or excessive pressure applied. So that the above can be realized, a tool is needed that can make it easier for someone to check their heart rate on their skin quickly and effectively. The MAX30102 sensor is a sensor that can calculate heart rate. This research aims to create an optimal automatic cardiopulmonary resuscitation device to help victims continue to breathe. This RJP tool uses a Nema 23 stepper motor as the driving motor, the motor driver uses a TB6600 driver as the motor controller. During testing, 1 minute produced 103 compressions and 30 compressions in 18 seconds. The torque strength of the stepper motor is only capable of lifting a load of 7 kg, the torque produced is 2.06 Nm. This research also uses sensors to detect heartbeats. This allows the device user to monitor the patient's heartbeat while undergoing RPJ.
Pemantauan Kelembapan dan Pengendalian Suhu Serta Pemberian Nutrisi Selada di Prototype Greenhouse dengan Nutrient Film Technique Berbasis IoT Derafi, Ryan; Ullah, Aulia; Maria, Putut Son; Faizal, Ahmad
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 8, No 3 (2024): Juli 2024
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v8i3.7674

Abstract

Nutrient Film Technique (NFT) is a hydroponic plant cultivation method in which plant roots grow in a shallow, particulated nutrient layer that allows plants to obtain water, nutrients and oxygen. In order to maintain a stable condition, kasturi farm hydroponic farmers experience problems in controlling and monitoring the condition of their plants, without having to sacrifice other activities. This research was carried out through a series of processes, starting from analyzing the needs, designing, and testing the design in providing nutrition, temperature control and monitoring the humidity of rockwool foam based on ESP 32. The hardware used are TDS (Total Dissolved Solids) Sensor, Ultrasonic Sensor, LDR (Light Dependent Resistor) Sensor, DHT 11 Sensor, Soil Sensor and DC Pump. The control used is ESP 32, and the application used is Blynk. The optimal control system in maintaining nutrients is 560 to 660 ppm and otherwise experiences a significant change of 1185 ppm. optimal temperature control with the highest temperature of 29.20 ˚C, and not using control will be more unstable. Rockwool humidity experienced an ideal stable increase of 50% - 56%. The average height of lettuce from the test results is about 22.07 cm with an average weight of 119.805 g. Measurement of lettuce plants indicated variations in fresh weight and height, with 3 prominent plants. The system effectively monitors and controls plant growth conditions, creating an optimal hydroponic environment. Based on the test results, the use of IoT technology in hydroponic NFT systems has proven to be very helpful for farmers in monitoring humidity, temperature and nutrients in real-time. Farmers can easily access plant condition information through remote devices, allowing farmers to immediately take necessary actions to maintain the health and productivity of hydroponic plants.
Pemantauan Kelembapan dan Pengendalian Suhu Serta Pemberian Nutrisi Selada di Prototype Greenhouse dengan Nutrient Film Technique Berbasis IoT Derafi, Ryan; Ullah, Aulia; Maria, Putut Son; Faizal, Ahmad
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 8, No 3 (2024): Juli 2024
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v8i3.7674

Abstract

Nutrient Film Technique (NFT) is a hydroponic plant cultivation method in which plant roots grow in a shallow, particulated nutrient layer that allows plants to obtain water, nutrients and oxygen. In order to maintain a stable condition, kasturi farm hydroponic farmers experience problems in controlling and monitoring the condition of their plants, without having to sacrifice other activities. This research was carried out through a series of processes, starting from analyzing the needs, designing, and testing the design in providing nutrition, temperature control and monitoring the humidity of rockwool foam based on ESP 32. The hardware used are TDS (Total Dissolved Solids) Sensor, Ultrasonic Sensor, LDR (Light Dependent Resistor) Sensor, DHT 11 Sensor, Soil Sensor and DC Pump. The control used is ESP 32, and the application used is Blynk. The optimal control system in maintaining nutrients is 560 to 660 ppm and otherwise experiences a significant change of 1185 ppm. optimal temperature control with the highest temperature of 29.20 ËšC, and not using control will be more unstable. Rockwool humidity experienced an ideal stable increase of 50% - 56%. The average height of lettuce from the test results is about 22.07 cm with an average weight of 119.805 g. Measurement of lettuce plants indicated variations in fresh weight and height, with 3 prominent plants. The system effectively monitors and controls plant growth conditions, creating an optimal hydroponic environment. Based on the test results, the use of IoT technology in hydroponic NFT systems has proven to be very helpful for farmers in monitoring humidity, temperature and nutrients in real-time. Farmers can easily access plant condition information through remote devices, allowing farmers to immediately take necessary actions to maintain the health and productivity of hydroponic plants.
Prototype Resusitasi Jantung Paru (RJP) menggunakan Motor Nema 23 dan Sensor Detak Jantung untuk Memudahkan Media Interface Maili, Ramadoni; Jufrizel, Jufrizel; Ullah, Aulia; Maria, Putut Son
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 8, No 3 (2024): Juli 2024
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v8i3.7690

Abstract

The growth of technology has an important role in supporting medical equipment facilities, especially for tools for providing compression or cardiopulmonary resuscitation (CPR). CPR is a first aid measure for victims of sudden cardiac arrest in which cardiac compression is carried out for 4 cycles, each cycle consisting of 30 compressions. CPR given manually can endanger the victim due to certain factors such as insufficient or excessive pressure applied. So that the above can be realized, a tool is needed that can make it easier for someone to check their heart rate on their skin quickly and effectively. The MAX30102 sensor is a sensor that can calculate heart rate. This research aims to create an optimal automatic cardiopulmonary resuscitation device to help victims continue to breathe. This RJP tool uses a Nema 23 stepper motor as the driving motor, the motor driver uses a TB6600 driver as the motor controller. During testing, 1 minute produced 103 compressions and 30 compressions in 18 seconds. The torque strength of the stepper motor is only capable of lifting a load of 7 kg, the torque produced is 2.06 Nm. This research also uses sensors to detect heartbeats. This allows the device user to monitor the patient's heartbeat while undergoing RPJ.