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All Journal Elektron Jurnal Ilmiah JURNAL NASIONAL TEKNIK ELEKTRO Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Seminar Nasional Teknologi Informasi Komunikasi dan Industri Jurnal Pengelolaan Laboratorium Pendidikan Indonesian Journal of electronics, electromedical engineering, and medical informatics Daengku: Journal of Humanities and Social Sciences Innovation Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi) Jurnal Abdimas: Pengabdian dan Pengembangan Masyarakat JECCOM Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics
Era Madona
Politeknik Negeri Padang
Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Other

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Journal : JECCOM

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Implementation of K-Nearest Neighbor for Fall Position Detection of Dementia Patients Based Microcontroller Yulastri; Era Madona; Laxmy Devy; Anggara Nasution; Nur Iksan
JECCOM: International Journal of Electronics Engineering and Applied Science Vol. 1 No. 2 (2023)
Publisher : Politeknik Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30642/jeccom.1.2.79-85.2023

Abstract

A microcontroller-based detection tool for the presence of patients with dementia has been made using the K-Nearest Neighbor (KNN) method with the help of coordinate points that can be seen via Google Maps. which is based on patient care with a patient-oriented approach. The targets of this research are (a) designing and implementing a fall detection system using the mpu6050 sensor, (b) using the (KNN) method to determine the coordinates of the location of dementia patients using GPS. The research method starts from making a prototype and measuring system performance. The test results on GPS produced an average latitude error of 0.002091% and an average longitude error of 0.000032% in Pauh District, while in Lubuk Kilangan District the average latitude error was 0.002641% and an average longitude error of 0.000150%. The KNN method with the Eucledian distance formula can help supervisors find out the nearest police station to the patient through the coordinate points detected by GPS by taking the smallest value from the comparison of values in the form of degrees between the Pauh police station and the Lubuk Kilangan police station for the patient. Overall the tool can function well.
Design of Internet Of Things (IoT) trainer kit with Multi Communication Era Madona; Efrizon; Anggara Nasution; Rara Yetrisia; Laxsmy Devy
JECCOM: International Journal of Electronics Engineering and Applied Science Vol. 1 No. 2 (2023)
Publisher : Politeknik Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30642/jeccom.1.2.47-57.2023

Abstract

Industry 4.0, or the Fourth Industrial Revolution, is a recent technological development that has significantly changed the industrial production process. One of the keys to this change is the Internet of Things (IoT), where the role of humans is likely to diminish and be replaced by machines. Aligning the workforce with IoT is important, but creating a qualified workforce is a challenge. IoT learning modules are needed to help students understand IoT concepts. The purpose of this research is to design an Internet of Things kit module with Radio communication with LoRa SX1278 Ra-02. The research stages start from literature study, hardware design, software design and overall testing. Module testing is done by sending DHT11 sensor data using LoRa SX1278 Ra-02 and monitored in Thingspeak. From the test results that have been carried out, it can be concluded that sending using LoRa (Long Range) technology is influenced by distance and obstacles. At a distance of 40 to 230 metres, communication between the Lora Transmitter and Lora Receiver is successful, which shows that LoRa technology is able to overcome communication distances in that range. However, at a distance of more than 230 metres to 300 metres, data transmission can still be done by the Lora Transmitter, but the data cannot be received by the Lora Receiver, indicating a bottleneck in communication.
Design and Implementation Monitoring System for The effects of Prolonged Sitting Yulastri Yulastri; Aprinal Adila Asril; Era Madona; Roni Putra
JECCOM: International Journal of Electronics Engineering and Applied Science Vol. 1 No. 1 (2023)
Publisher : Politeknik Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30642/jeccom.1.1.9-15.2023

Abstract

Workers spent more than two-thirds of their working hours sitting behind their desk. Almost all of them never put attention to good sitting position and caused health problems for themselves such as increasing the risk of hemorrhoids, heart disease, diabetes, obesity, joints damage, muscles and posture. The workers are not aware into account how long they had been sitting. Thus, one way to avoid health problems caused by long-term sitting is using a device which monitors body temperature, heart and muscle. In this study, the prototype is designed and implemented to monitor how long the worker had sit in their chair and the effect to their body. This system detected the temperature on the chair using temperature sensor, sensor ECG to heart detection placed on the finger and the sensor EMG to detect muscle is placed on the hand muscles. The information from the sensors are sent and saved to the database server and displayed through the website. The test results indicate that body weight and gender affect the speed of rise of body temperature which is measured on the seat cushions. Functional testing using the web interface successfully performed in displaying the results to the web interface sensor readings in real time and displays the results of the previous sensor readings.
Wireless Sensor Network Based Server Room Temperature Monitoring System Reza Nandika; Era Madona; Laxsmy Devy; Adi Chandranata; Yultrisna Yultrisna
JECCOM: International Journal of Electronics Engineering and Applied Science Vol. 1 No. 1 (2023)
Publisher : Politeknik Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30642/jeccom.1.1.16-22.2023

Abstract

A remote temperature monitoring system has been created in the server room using LoRa technology which is based on preventing overheating on servers which can affect the performance of components in the server. The research objective is to design and implement a new LoRa-based server room monitoring system design. The targets of this research are (a) creating a system prototype, (b) programming the system with the help of Arduino IDE, (c) measuring system performance. The research method starts from making a prototype and measuring system performance. The results of system performance measurements, testing on LoRa showed the best RSSI results of -56 dBm, temperature data from 17°C -19°C and humidity from 55% to 59% in the server room. Overall the tool can function well.
Monitoring System For Premature Baby Weight and Incubator Temperature Using Telegram Messanger With Smart Notificaton Era Madona; Yulastri Yulastri; Roni Putra; Anggara N; Aditya Wardhani
JECCOM: International Journal of Electronics Engineering and Applied Science Vol. 1 No. 1 (2023)
Publisher : Politeknik Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30642/jeccom.1.1.34-40.2023

Abstract

This research is designed as solution to maximize the automation service to premature baby in smart health concept. The aim of this research built the monitoring system to show the condition of premature baby weight and the incubator temperature using telegram messenger. The incubator in this research using grashof method and some hardware consist of DHT and load cell sensor, Ethernet shield and microcontroller arduino uno. The application in this research applied the Bot fiture from telegram messenger to response message and question. There are two service in the application, first baby weight service and incubator temperature services. Besides these services, the application also have notification service that inform the baby weight under 2,2 kg and the temperature. The experiment result of load cell circuit show error of baby weight measurement is 2,325 % and the bot testing using three commands and notification show the satisfied result.
Implementation of LiDAR Sensor for Mobile Robot Delivery Based on Robot Operating System Fiqri Ahmad Agung; H Herizon; Era Madona; Muhammad Rohfadli; Ja'far Ja'far
JECCOM: International Journal of Electronics Engineering and Applied Science Vol. 1 No. 2 (2023)
Publisher : Politeknik Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30642/jeccom.1.2.66-78.2023

Abstract

Recent research has focused on the development of mobile delivery robots as part of the rapidly evolving autonomous technology. The main focus is on creating mobile robots capable of efficiently delivering goods without human intervention. This involves designing systems, core technologies, and overcoming various challenges. The navigation system of the delivery robot is enhanced by the use of LIDAR (Light Detection and Ranging) sensors. One of the sensors used is the RPLIDAR A1M8 which is capable of detecting nearby objects with a distance reading of 360°. Trials were conducted to evaluate the robot's navigation performance with a load variation of 0 kg to 20 kg. The test results show that RPLIDAR A1M8 can read distances up to 1200 cm with an error rate of about 3.15%, and a minimum distance of 15 cm with an error of 1.45%. The durability of this sensor reading is well maintained, with a presentation error of only 0.4%. Mapping trials in the room produced an average error of 18.57% without tracking, and 5.02% with tracking. The weight of the load carried by the robot affects the speed and travel time. The heavier the load, the robot speed decreases from 0.264 m/s at 0 kg load to 0.127 m/s at 20 kg load. Likewise, the travel time increases with the weight of the load, from 7.6 seconds to 15.6 seconds.
Co-Authors Adi Chandranata Albar albar Amril amril Anggara N Anggara N Anggara Nasution Anggara Nasution Anggara Nasution Anggara Nasution Anggara Nasution, Anggara Anggi Lifya Rani Anton anton Aprinal Adila Asril Dikky Chandra Dinda Syafiitri Fiqri Ahmad Agung Herizon Ifni Joi Irmansyah , M.Irmansyah Irmansyah, M. Ja'far Ja'far Laxmy Devy Laxsmy Devy M Irmansyah M Irmansyah M. Irmansyah Muhammad Fajri Muhammad irmansyah Muhammad Rohfadli N, Anggara Nasution, Anggara Ni Luh Ari Yusasrini Novira, Aulia Nur Iksan Nurul Fajria Jaswir Putra, Roni Putri Gemala Sari Rara Yetrisia Reza Nandika Rinaldi Rohfadli, Muhammad Roni Putra Roni Putra SITI NASYRAH RIZQA Syafadilla, Yunike Wardhani, Aditya Widyagustin, Hazimah Yul Antonisfia Yulastri Yulastri Yulastri Yulastri Yulastri Yultrisna Yultrisna Zaini, Zaini Zhefry Anovra Zulfakhri, Fadhilah