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All Journal International Journal of Reconfigurable and Embedded Systems (IJRES) International Journal of Applied Power Engineering (IJAPE) Bulletin of Electrical Engineering and Informatics JEECAE (Journal of Electrical, Electronics, Control, and Automotive Engineering) Jurnal Teknik Elektro dan Komputasi (ELKOM) Jurnal Sistim Informasi dan Teknologi Jurnal ELTEK Jurnal ELTEK
Vicky Andria Kusuma
Institut Teknologi Kalimantan
Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering Mechanical Engineering

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Journal : International Journal of Reconfigurable and Embedded Systems (IJRES)

 1 
Analysis of the Potential for Installing a Solar Power Plant on a BNI Bank Rooftop in the City of Balikpapan Permai Vicky Andria Kusuma; Sena Sukmananda Suprapto; Aji Akbar Firdaus; Jenrychk Marcelino Tandi Karrang
International Journal of Reconfigurable and Embedded Systems (IJRES) Vol 12, No 1: March 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijres.v12.i1.pp%p

Abstract

The installation of a solar energy generation system is being carried out to increase the use of renewable energy. This research is on the availability of many solar pandies behind the equator and requires banks. The Solar Power Plant (SPP) design results in the Bank Negara Indonesia (BNI) Balikpapan Permai bank building have shown good potential to be implemented even in changing climatic conditions. The SPP system has a total power higher than the total power consumption in the BNI bank building, with a power consumption of 33 kW. In comparison, for the SPP system in November, the power was 50,78 kW, and the power generated in December was 5,696 kW. This means that the BNI office receives an electricity surplus of 12,696 kW - 17,78 kW, with a total power of 9,8 kW from solar modules used.
Gym training muscle fatigue monitoring using EMG myoware and arduino with envelope and sliding window methods Sena Sukmananda Suprapto; Vicky Andria Kusuma; Mifta Nur Farid; Muhammad Agung Nursyeha; Kharis Sugiarto; Aji Akbar Firdaus; Dimas Fajar Uman Putra
International Journal of Reconfigurable and Embedded Systems (IJRES) Vol 12, No 3: November 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijres.v12.i3.pp345-350

Abstract

Muscles are an important organ in the movement of the body's skeleton to carry out sports activities. Measurement of muscle activity during the exercise process can be done using electromyography (EMG). This research uses Myoware muscle sensor (AT-04-001) which is integrated with Arduino Uno and Xbee to monitor biceps brachii muscle fatigue wirelessly. Fatigue data processing is carried out objectively using the envelope and sliding window method and subjectively verbally from the respondents. From this study, it was found that muscle fatigue can be measured using the method objectively when there is an increase in EMG amplitude with a window size of 5 s. The indication of biceps brachii muscle fatigue for the right arm is stronger to withstand the load during exercise with the average duration of the measurement of the right arm is 41.87 s from 69.67 s; 53.53 s from 98.90 s and 76.87 s from 98.80 s with the ratio of the left arm tending to fatigue more quickly is 23.53 s from 42.13 s; 41.87 s from 51.60 s and 23.53 s from 44.73 s.
An internet of things-based touchless parking system using ESP32-CAM Vicky Andria Kusuma; Hamzah Arof; Sena Sukmananda Suprapto; Bambang Suharto; Rizky Amalia Sinulingga; Fadli Ama
International Journal of Reconfigurable and Embedded Systems (IJRES) Vol 12, No 3: November 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijres.v12.i3.pp329-335

Abstract

As technology continues to advance, governments around the world have implemented health protocols to minimize direct contact between individuals and objects, in response to the ongoing COVID-19 outbreak. To address this need, a touchless parking portal was designed using a microcontroller-based and internet of things (IoT) -based system, with the Arduino UNO microcontroller device serving as the core component. The system employs an ultrasonic sensor HC-SR04 and passive infrared (PIR) to detect vehicles as they arrive at the portal area, in addition to requiring an ESP32-CAM camera, servo motor, light-emitting diode (LED), I2C 16x2 liquid crystal display (LCD), push button, universal serial bus (USB) to transistor-transistor logic (TTL) converter, power supply, and portal bar. The system builder software was developed using Arduino integrated development environment (IDE), Android, and Blynk. The authors conducted thorough testing and analysis of the system, concluding that its overall performance reaches 100%. Nevertheless, despite the extensive experimentation conducted, there remains a possibility that certain factors could still affect the results. Therefore, caution is advised when interpreting the outcomes of this experiment.
Implementing hue-saturation-value filter and circle hough transform for object tracking on ball-wheeled robot Sugiarto, Kharis; Kusuma, Vicky Andria; Firdaus, Aji Akbar; Suprapto, Sena Sukmananda; Putra, Dimas Fajar Uman
International Journal of Reconfigurable and Embedded Systems (IJRES) Vol 13, No 1: March 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijres.v13.i1.pp52-58

Abstract

The ball-wheeled robot relies on a camera for receiving information on the object to be followed. Object tracing is one of the methods that can be used for detecting object movement. In recognizing objects around it, the robot requires an image analysis process that involves visual perception. Image processing is the process of processing and analyzing images that involves visual perception, and is characterized by input data and output information in the form of images. This is how the robot can see objects around it and then be assisted by computer vision to make a decision. The object tracking method with hue-saturation-value (HSV) colour filtering and shape recognition with circle hough transform (CHT) is applied to the ball-wheeled robot. The front vision of the robot uses HSV colour filtering with various test values to determine the thresholding value, and it was found that the ball could be identified up to a distance of 1,000 cm. To further improve the performance of recognizing the ball object, CHT was applied. It was found that the ball could be identified up to a distance of 700 cm. Furthermore, the ball can be identified in obstructed conditions up to 75%.
Optimized Kalman filtering in dynamical environments for thumb robot motion estimation Herlambang, Teguh; Susanto, Fajar Annas; Firdaus, Aji Akbar; Kusuma, Vicky Andria; Suprapto, Sena Sukmananda; Muhaimin, Muhaimin; Arof, Hamzah
International Journal of Reconfigurable and Embedded Systems (IJRES) Vol 13, No 3: November 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijres.v13.i3.pp512-519

Abstract

Stroke, a prevalent nerve disorder in Indonesia, necessitates post-stroke rehabilitation like physical and occupational therapy. Hand and finger muscle training, crucial for restoring movement, often involves innovative solutions like finger prosthetic robotics arms. In particular, the advancement in thumb robotics emphasizes the estimation of thumb motion, where the ensemble Kalman filter square root (EnKF-SR) and H-infinity methods are deemed dependable for both linear and nonlinear models. Simulation results, using 400 ensembles, demonstrated nearly identical accuracy between the methods, exceeding 99%, with a 6-7% increase in accuracy compared to 200 ensembles. These advancements offer promising prospects for effective post-stroke rehabilitation and improved thumb movement restoration.
Design and build an airbag system for elderly fall protection using the MPU6050 sensor module Suprapto, Sena Sukmananda; Kusuma, Vicky Andria; Firdaus, Aji Akbar; Putra, Wahyu Haryanto; Yuniar, Risty Jayanti
International Journal of Reconfigurable and Embedded Systems (IJRES) Vol 13, No 1: March 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijres.v13.i1.pp111-116

Abstract

The use of technology has a significant impact to reduce the consequences of accidents. Sensors, small components that detect interactions experienced by various components, play a crucial role in this regard. This study focuses on how the MPU6050 sensor module can be used to detect the movement of people who are falling, defined as the inability of the lower body, including the hips and feet, to support the body effectively. An airbag system is proposed to reduce the impact of a fall. The data processing method in this study involves the use of a threshold value to identify falling motion. The results of the study have identified a threshold value for falling motion, including an acceleration relative (AR) value of less than or equal to 0.38 g, an angle slope of more than or equal to 40 degrees, and an angular velocity of more than or equal to 30 °/s. The airbag system is designed to inflate faster than the time of impact, with a gas flow rate of 0.04876 m3 /s and an inflating time of 0.05 s. The overall system has a specificity value of 100%, a sensitivity of 85%, and an accuracy of 94%.
Co-Authors Arof, Hamzah Bambang Suharto Barokatun Hasanah Barokatun Hasanah, Barokatun Dimas Fajar Uman Putra Fadli Ama Firdaus, Aji Akbar Firillia Filliana Hamzah Arof Happy Aprillia Jenrychk Marcelino Tandi Karrang Karrang, Jenrychk Marcelino Tandi Kharis Sugiarto M. Ihsan Alfani Putra Mifta Nur Farid Muhaimin Muhaimin Muhammad Agung Nursyeha Muhammad Nizhom Ramadhani Novian Patria Uman Putra Priyanto, Yun Tonce Kusuma Putra, Dimas Fajar Uman Putra, Wahyu Haryanto Risty Jayanti Yuniar Sena Sukmananda Suprapto Sinulingga, Rizky Amalia Slamet Slamet . Sugiarto, Kharis Suprapto, Sena Sukmananda Susanto, Fajar Annas Teguh Herlambang Trimulya, Hanif Tuwaidan, Yosua Utami, Amalia Rizqi Wicaksono, Himawan Yuli Prasetyo