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All Journal JURNAL NASIONAL TEKNIK ELEKTRO JOIV : International Journal on Informatics Visualization Journal of Information Technology and Computer Engineering CHIPSET (Journal on Computer Hardware, Signal Processing, Embedded System and Networking)
Anandika, Arrya
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Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

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Smart Room System for Paralysis Patients with Mindwave EEG Sensor Control Anandika, Arrya; Ferdian, Rian; Eriyandha, Alivia; Suwandi, Rifki; Hafidz, Muhammad
JOIV : International Journal on Informatics Visualization Vol 7, No 4 (2023)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.7.4.1745

Abstract

Persons with disabilities experience physical, intellectual, mental, or sensory difficulties. One type of disability is paralysis. Paralysis is a condition where there is interference with the nerves that control body movement, causing the limbs to be unable to move. Paralyzed people will find it difficult to move without the help of others. Therefore, research was carried out by creating an intelligent room system to help persons with disabilities manage their own rooms so that they do not always have to be accompanied by a nurse. Paralyzed people can turn lights or fans on and off, and send help messages to their carers via the Telegram bot. This study used the NeuroSky Mindwave EEG headset which detects the user's brain signals with outputs in the form of attention level, relaxation level (meditation), and blink strength level. The resulting signal is processed via a PC and sent via NodeMCU to give commands in the form of turning lights and fans on or off, as well as sending messages to nurses. From this research a system was produced that could turn on the lights based on the value of Attention ≥ 70, turn on the fan based on the Meditation value ≥ 74, then the value of BlinkStrength ≥ 81 which was counted 2 times to turn off the lights, 3 times to turn off the fan, 4 times to turn off the lights and fan, and more than 4 times sending help messages
Hand Gesture to Control Virtual Keyboard using Neural Network Anandika, Arrya; Rusydi, Muhammad Ilhamdi; Utami, Pepi Putri; Hadelina, Rizka; Sasaki, Minoru
JITCE (Journal of Information Technology and Computer Engineering) Vol. 7 No. 01 (2023)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jitce.7.01.40-48.2023

Abstract

Disability is one of a person's physical and mental conditions that can inhibit normal daily activities. One of the disabilities that can be found in disability is speech without fingers. Persons with disabilities have obstacles in communicating with people around both verbally and in writing. Communication tools to help people with disabilities without finger fingers continue to be developed, one of them is by creating a virtual keyboard using a Leap Motion sensor. The hand gestures are captured using the Leap Motion sensor so that the direction of the hand gesture in the form of pitch, yaw, and roll is obtained. The direction values are grouped into normal, right, left, up, down, and rotating gestures to control the virtual keyboard. The amount of data used for gesture recognition in this study was 5400 data consisting of 3780 training data and 1620 test data. The results of data testing conducted using the Artificial Neural Network method obtained an accuracy value of 98.82%. This study also performed a virtual keyboard performance test directly by typing 20 types of characters conducted by 15 respondents three times. The average time needed by respondents in typing is 5.45 seconds per character.
Animal Protection System Cats and Dogs Approaching The Substance With The Mini Computer Aulia Ramadhani, Shafira; Anandika, Arrya; Syahputra, Ronaldo; Purbolingga, Yoan
CHIPSET Vol. 6 No. 01 (2025): Journal on Computer Hardware, Signal Processing, Embedded System and Networkin
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/chipset.6.01.18-29.2025

Abstract

Litter bins that do not have lids, as well as the time span of garbage collection, especially when garbage is accumulating, can attract animals to enter the bin, some of the animal patterns are to carry garbage out of the bin, so that it can be consumed by dogs/cats. The purpose of this problem is to help the community in preventing and minimizing animals that litter and prevent the spread of diseases in animals due to consuming garbage, for example diseases caused by bacteria from garbage, namely rabies. This final project results in the detection of cats and dogs using YOLO with 90% accuracy, when a cat or dog is detected the system will issue an output so that the animal does not get closer and out of the trash, the output will continue to be issued until the animal is no longer detected by the camera.
Enhancing Interface Efficiency: Adaptive Virtual Keyboard Minimizing Keystrokes in Electrooculography-Based Control Anandika, Arrya; Laksono, Pringgo Dwi; Suhaimi, Muhammad Syaiful Amri bin; Muguro, Joseph; Rusydi, Muhammad Ilhamdi
JURNAL NASIONAL TEKNIK ELEKTRO Vol 12, No 3: November 2023
Publisher : Jurusan Teknik Elektro Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jnte.v12n3.1160.2023

Abstract

Rapid technological developments, one of which is technology to build communication relationships between humans and machines using Biosignals. One of them is Electrooculography (EOG). EOG is a type of biosignals obtained from eye movement. Research related to EOG has also developed a lot, especially for virtual keyboard control. Research on virtual keyboard control based on eye gaze motion using electrooculography technology has been widely developed. Previous research mostly drew conclusions based on time consumption in typing paragraphs. However, it has not been seen based on the number of eye gaze motions made by the user. In this research, an adaptive virtual keyboard system is built, controlled using EOG signals. The adaptive virtual keyboard is designed with 7x7 dimensions and has 49 buttons, including main buttons, letters, numbers, symbols, and unused buttons. The layout of the adaptive virtual keyboard has six zones. Each zone has a different number of steps. Characters located in the same zone have the same number of steps. The adaptive feature is to rearrange the position of the character's button based on the previously used characters. In the experiments, 30 respondents controlled static and adaptive virtual keyboards with 7 paragraphs typed. Adaptive mode rearranges the position of buttons based on k-selection activities from respondents. the k numbers are 10, 30, 50, 70 and 100. Two virtual keyboard modes are evaluated based on the number of steps required to type the paragraphs. Test results show that the performance of the adaptive virtual keyboard can shorten the number of user steps compared to static mode. There are tests of the optimal system that can be reduced up to 283 number of steps and from respondents, that can reduced up to 258 number of steps or about 40% of steps. This research underscores the promise of EOG-driven adaptive virtual keyboards, signaling a notable stride in augmenting user interaction efficiency in typing experiences, heralding a promising direction for future human-machine interface advancements.
Prototype of Monitoring System for Power Absorption and Solar Panel Maintenance on Website-Based Solar Power Plant Ananda, Melly Wasilah; Yolanda, Desta; Anandika, Arrya
CHIPSET Vol. 5 No. 01 (2024): Journal on Computer Hardware, Signal Processing, Embedded System and Networkin
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/chipset.5.01.40-48.2024

Abstract

Solar power plants (PLTS) are a source of electrical energy that will never run out and will not damage the environment. PLTS is an alternative energy source when an electricity supply has not reached an area or has no commonly used power generation source, such as gas or water. In PLTS, solar panels are devices that need to be considered to maintain the performance of solar panels on PLTS. Several things must be considered, as solar panels must be protected from dust and dirt that can block sunlight. Solar panels should also not dry themselves after being wet with water because there will be traces of water left behind. Moisture on the surface of solar cells significantly reduces cell performance due to the disruption of the absorption and refraction of sunlight. To overcome this problem, the author proposes to design a system that can monitor the absorption of power carried out by solar panels and perform maintenance on solar panels in the form of cleaning from dust and dirt automatically and helping to dry after the rain subsides on the surface of solar panels. This system is integrated with the website so that officers can monitor through the monitoring website interface. This designed system can optimize power absorption on solar panels and help officers know the results of power absorption by solar panels.
Design Of A Portable Mini Pump It Up System Based On Mini Computer For Children's Gross Motor Improvement Prima, Lucky; Anandika, Arrya; Purbolingga, Yoan; Syahputra, Ronaldo
CHIPSET Vol. 5 No. 02 (2024): Journal on Computer Hardware, Signal Processing, Embedded System and Networkin
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/chipset.5.02.126-131.2024

Abstract

The increasing influence of smartphones on young children has raised concerns about the delayed development of gross motor skills, particularly in early childhood. This issue is significant in Indonesia, which ranks fifth in ASEAN for birth rates, resulting in a large population of children at risk. Excessive smartphone use by children leads to decreased physical activity, potentially causing health problems such as obesity and reduced physical fitness. The objective of this study is to design and develop a portable system, called the "Mini Pump It Up," based on a mini-computer (Raspberry Pi 5), that encourages children to engage in more physical activities. This device is intended to divert children from excessive smartphone usage, thereby stimulating their gross motor skills development. Additionally, the system is designed to be used anywhere without requiring an external power source. The research concludes that the system successfully operates in portable mode without the need for a power supply, sustaining functionality for 3 hours, 10 minutes, and 15 seconds. Furthermore, the system effectively captures the interest of children, as evidenced by 84.21% of the 19 children participants choosing to interact with the product instead of engaging with smartphones.
Co-Authors Ananda, Melly Wasilah Aulia Ramadhani, Shafira Eriyandha, Alivia Hadelina, Rizka Laksono, Pringgo Dwi Muguro, Joseph Muhammad Hafidz, Muhammad Muhammad Rusydi H. Prima, Lucky Rifki Suwandi, Rifki Sasaki, Minoru Suhaimi, Muhammad Syaiful Amri Bin Syahputra, Ronaldo Utami, Pepi Putri Yoan Purbolingga Yolanda, Desta