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Signal and Image Processing Letters
Published by Association For Scientific Computing Electrical and Engineering
ISSN : 27146669     EISSN : 27146677     DOI : 10.31763/simple
Core Subject : Science, Engineering,
Computer Science & IT Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering
The journal invites original, significant, and rigorous inquiry into all subjects within or across disciplines related to signal processing and image processing. It encourages debate and cross-disciplinary exchange across a broad range of approaches.
Arjuna Subject : Ilmu Komputer (semua kategori) - Pemrosesan Sinyal
Articles 89 Documents
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Smart Fan Using Room Temperature Sensor and Human Movement Ciputra, Tri Yuga; Muchlas, Muchlas
Signal and Image Processing Letters Vol 5, No 1 (2023)
Publisher : Association for Scientific Computing Electrical and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/simple.v5i1.60

Abstract

Fans are electrical equipment that people often need in their daily lives. Fans that are available in the market generally use a manual button to turn it on and off. It is necessary to develop a system so that the fan can be turned on automatically without the need to press a button on the fan. The system designed in this study has PIR, LM35 and Ultrasonic sensor devices, while the control uses an Arduino Uno microcontroller. PIR testing is done by measuring the sensor output for each input object movement. The LM35 sensor was tested by comparing the temperature measurement results obtained with the measurement results using a standardized digital thermometer. The ultrasonic sensor is tested by comparing the detected distance reading to the actual distance using a ruler placed under the sensor. Overall system testing is done by observing the fan rotation for each given input parameters. The criteria used are if there is human movement and the room temperature is above 28 0C and the object distance is less than 16 cm, then fan 1 and fan 2 rotate simultaneously. Another criterion, if the temperature is below 28 0C, then fan 1 turns off even though there is human movement and fan 2 remains on because the object distance is limited to less than 16 cm. The results showed that the system had worked well, namely fan 1 and fan 2 had behaved according to the specified criteria. This system is expected to be used to assist humans in operating the fan automatically based on room temperature, human movement, and human distance.
Design and Build a Rugby Ball Thrower in the Kontes Robot ABU Indonesia 2020 Using Pneumatic Imran, Ali; Sapto Aji, Wahyu
Signal and Image Processing Letters Vol 3, No 1 (2021)
Publisher : Association for Scientific Computing Electrical and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/simple.v3i1.40

Abstract

The Kontes Robot ABU Indonesia (KRAI) is a robot contest held by the Directorate General of Higher Education (DIRJEN DIKTI). The winner of the national robot contest then represented Indonesia at the ABU (Asia–Pacific Broadcasting Union) Robocon which in 2020 was held in Fiji. Robot competition consists of two kinds, namely manual robots and automatic robots. In the competition there is one session or section, namely throwing the rugby ball. In the rugby ball throwing session, it is expected that the ball can be thrown and right into the goal so that it gets a maximum point of 5 points. This study tested the throw using pneumatics with the aim of getting the throw to get 5 points. The parameter that must be achieved is mechanical optimization with the throw landing on target and into the goal so as to get maximum points. The KRAI 2020 robot thrower uses pneumatics. Wind pressure determines the strength of a rugby ball toss. In calculating the distance, the parabolic formula is used and the method used to retrieve data through trial and error is to experiment from two angles, namely 40, and 50 then take good data.
Implementation of Heart Rate System using AD8232 and Arduino Microcontrollers Setiawan, Muhammad Haryo; Sari, Nurjanah Arvika; Prasetya, Wahyu Latri; Feter, Muslih Rayullan; Saputra, Dodi; Ma'arif, Alfian
Signal and Image Processing Letters Vol 2, No 1 (2020)
Publisher : Association for Scientific Computing Electrical and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/simple.v2i1.84

Abstract

The human heart's pivotal role in maintaining overall health by ensuring oxygen and nutrient delivery to tissues and waste elimination highlights the global importance of cardiac health. Electrocardiography (ECG) is a fundamental tool for assessing cardiac conditions, capturing intricate electrical signals during each heartbeat. ECG sensors are instrumental in this process, finding extensive applications in personal health monitoring, disease management, and medical research. This article emphasizes the significance of ECG sensors, particularly the AD8232 ECG sensor paired with the Arduino Nano microcontroller. It outlines their operational principles, measurement methods, and signal-processing techniques. The research aims to enhance the accuracy and efficiency of ECG data capture, contributing to advanced cardiac monitoring systems. Intelligent systems employing biopotential sensors and electrocardiographs enhance diagnostic precision, minimizing interpretational errors. ECG sensors, which record and translate the heart's electrical activity into interpretable data, are integral to modern medicine. They are used in diverse settings, from clinical environments to personal health monitoring. Ensuring ECG sensor accuracy is critical, as the data directly impacts diagnosis and treatment. This article offers insights into fundamental principles, measurement procedures, and programming techniques for ECG sensors, facilitating efficient data capture and processing. These findings promise user-friendly cardiac monitoring systems advancements, significantly contributing to medical technology and healthcare.
Classification of concentration or focus by signal Electroencephalography (EEG) and addiction Watching K-Dramas Using Algoritma K-Nearest Neighbor Azhari, Ahmad; Ramadan, Rizky
Signal and Image Processing Letters Vol 1, No 3 (2019)
Publisher : Association for Scientific Computing Electrical and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/simple.v1i3.26

Abstract

K-drama or drakor is currently being enjoyed in Indonesia when the Covid-19 pandemic hits, especially by the fair sex. From the sources obtained, the number of k-dramas or dramas also increased during the covid-19 pandemic from the previous 2.7 hours a day to 4.6 hours a day. The issue raised by the authors in this study is whether the impressions of drakor will later affect the concentration of an individual. Data acquisition was carried out using the NeuroSky Mindwave Mobile 2 tool to retrieve EEG data.  After the data acquisition is completed, the next process is preprocessing, which is to perform feature extraction using the Fast Furious Transform method to find the average values of the highest and lowest peaks. After the preprocessing is completed go to the classification stage. The classification used is K-Nearest Neighbor with a value of k=9.  For evaluation using confusion matrix to determine the accuracy value of the built KNN model. This study used 100 respondents who were37 people who were addicted to drakor. A total of 24 people out of the 37 or about 64.87% turned out to have a lack of concentration level when taking concentration tests. This is enough to prove that drama impressions can reduce the concentration or focus of a person, especially women. For the classification process to have an accuracy of 80% and for variable correlation testing, it turns out that independent variables do have a simultaneous effect on the dependent variables with a calculated f value of 35.642 and a sig value of 0.000b.
Real Time Home-security Monitoring Using Smartphone Based IoT Siregar, M. Taufiq Wahyudi; Sunardi, Sunardi
Signal and Image Processing Letters Vol 4, No 3 (2022)
Publisher : Association for Scientific Computing Electrical and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/simple.v4i3.68

Abstract

One of the most widely used security systems is the CCTV. The use of CCTV is not only as a security system on multistory buildings or offices, but also has already graduated homes are mainly in big cities where sometimes living functions aren't can be felt as comfortably as possible. This is happening because it is concerns the living owners who haven't been able to monitor in person thorough. Therefore, CCTV cameras are required for viewing it used to monitor home security conditions. The study uses IoT-based automation method, among others  hardware design of CCTV boxes, 3d CCTV camera design, system wiring, and layout boards. Software design includes block diagram and flowchart the system. The testing of the tool work is deploy on ESP32-cam, ultrasonic sensor, PIR sensor, and buzzer. The research was able to build a home security monitoring system from a long distance based on a IoT in real time. Remote test results obtained average HC-SR04 ultrasonic sensor error with a standard roll gauge 1.18%.
Design of Rectangular Microstrip Antenna Using Inset Feed and DGS Methods for Digital Television at 598 MHz Frequency Hardiwansyah, Muttaqin; Purnamasari, Dian Neipa; Ms, Achmad Ubaidillah; Haryanto, Haryanto; Ulum, Miftachul
Signal and Image Processing Letters Vol 7, No 1 (2025)
Publisher : Association for Scientific Computing Electrical and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/simple.v7i1.102

Abstract

The development of a microstrip antenna for digital TV applications at the center frequency of 598 MHz has been carried out to meet the needs for optimal signal reception in urban areas such as Surabaya. In this research, a microstrip antenna is designed, simulated, and fabricated to verify its performance. The simulation results show that the antenna has a return loss of -12.27 dB, VSWR 1.639, bandwidth 359 MHz, gain 2.26 dBi, and an omnidirectional radiation pattern. After the fabrication process, antenna performance measurements show a return loss of -25.78 dB, VSWR 1.849, and bandwidth 154 MHz. Discrepancies between simulation and fabrication results are mainly due to manufacturing tolerances and material variations. Nevertheless, the results obtained show that the developed microstrip antenna has good performance and is suitable for digital TV applications at the targeted frequency, with the ability to receive signals omnidirectionally which is very important in dense urban environments.
Horizontal Lines and Haar-like Features for Car Detection Using Support Vector Machine on Traffic Imagery Abdillah, Aldi Khoirul; Prahara, Adhi
Signal and Image Processing Letters Vol 3, No 1 (2021)
Publisher : Association for Scientific Computing Electrical and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/simple.v3i1.29

Abstract

Traffic monitoring system in Indonesia is not yet efficient. CCTV cameras had been installed to monitor the traffic in strategic locations. However, it is difficult to monitor each traffic point all the time. This problem leads to the development of intelligent traffic monitoring system using computer vision technology. In this research, a car detection method is proposed. Car detection still poses challenges especially when dealing with various situations on the road. The proposed car detection method uses horizontal lines and Haar-like features trained with Support Vector Machine (SVM) to detect cars on traffic imagery. The car detector is trained on frontal-view car dataset. The test result shows 0.2 log average miss rate and 0.9 average precision. From the low miss rate and high precision, the proposed method shows promising solution in detecting cars on traffic imagery.
Real Time Clock (RTC) Module Based Dance Humanoid Robot Timer System Amiruddin, Nanda Fahmi; Fadlil, Abdul
Signal and Image Processing Letters Vol 5, No 2 (2023)
Publisher : Association for Scientific Computing Electrical and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/simple.v5i2.56

Abstract

The Indonesian Dance Robot Contest (KRSTI) is a competition for the manufacture, design, and programming of dance robots with elements of the arts and culture of the dance department, especially the archipelago. The obstacle faced by the robot is when the robot is required to stop according to time on the music but there is a movement that appears when the time has been declared over. The method used is using the RTC module. The DS3231 type RTC module is a circuit that functions to store time and date with accuracy and precision and is integrated with the AT24c32 eeprom serial for other data storage purposes. The results of time research testing on this robot are running well, the first results obtained are that the robot can adjust the time when it runs. Furthermore, at the time of pause the RTC module does not interfere with the running of the robot. Finally, the success rate of the robot stopping at the specified time is 100%, the robot can be tested with time according to the user's wishes.
Comparative Study of KNN, SVM and SR Classifiers in Recognizing Arabic Handwritten Characters Employing Feature Fusion Huque, Abu Sayeed Ahsanul; Haque, Mainul; Khan, Haidar A.; Al Helal, Abdullah; Ahmed, Khawza I.
Signal and Image Processing Letters Vol 1, No 2 (2019)
Publisher : Association for Scientific Computing Electrical and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/simple.v1i2.1

Abstract

This paper evaluates and compares the performance of K-Nearest Neighbors (KNN), Support Vector Machine (SVM) and Sparse Representation Classifier (SRC) for recognition of isolated Arabic handwritten characters. The proposed framework converts the gray-scale character image to a binary image through Otsu thresholding, and size-normalizes the binary image for feature extraction. Next, we exploit image down-sampling and the histogram of image gradients as features for image classification and apply fusion (combination) of these features to improve the recognition accuracy. The performance of the proposed system is evaluated on Isolated Farsi/Arabic Handwritten Character Database (IFHCDB)-a large dataset containing gray scale character images. Experimental results reveal that the histogram of gradient consistently outperforms down-sampling based features, and the fusion of these two feature sets achieves the best performance. Likewise, SRC and SVM both outperform KNN, with the latter performing the best among the three. Finally, we achieved a commanding accuracy of 93.71% in character recognition with fusion of features classified by SVM, where 92.06% and 91.10% is achieved by SRC and KNN respectively.
The Method of Taking the Blessing Ball for Manual Robots at the 2018 Indonesian Robot Contest Septian, Andi; Sapto Aji, Wahyu
Signal and Image Processing Letters Vol 2, No 2 (2020)
Publisher : Association for Scientific Computing Electrical and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/simple.v2i2.44

Abstract

KRAI (Indonesian Abu Robot Contest) is a robotics contest between Higher Education in Indonesia. Indonesian ash robot contest organized by the Directorate General of Higher Education (DIRJEN DIKTI). The winner of the KRAI will represent Indonesia in the ABU (Asia-Pacific Broadcasting Union) Robocon which is held annually with locations moving around within ABU member countries. KRAI 2018 made a blessing ball picking robot with a gripper. The parameter that must be achieved is that the optimization of the robot drive can take the blessing ball. The design of the blessing ball picking mechanic can use the servo gripper by determining the slope of the robot. The angle of inclination of the robot determines the taking of the ball. Based on the results of the study, the results were obtained by testing carried out taking test data with an angle of 20 ?-50 ?. The robot can pick up when 1 ball with that angle. Testing with an angle of 50 ?-80 ?. The robot can take 2 balls with that angle. Testing with an angle of 80 ?-110 ?. The robot can take 3 balls with that angle. With an angle of 110 ?-140 ?. The robot can take 2 balls. With a blade of 140 ?-170 ? the robot can take 1 ball. In the method of taking the ball in the 10 tests that have been carried out, there are experiments that are declared efficient to be able to take 3 balls with a 100% success percentage in an average time of 21 seconds. So it can be implied that the tester at the ball picking used an angle of 80 ?-110 ? more efficiently than the angle of 20 ?-80 ? and 110 ?-170 ?.

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