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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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Classification of Concentration Levels in Adult-Early Phase using Brainwave Signals by Applying K-Nearest Neighbor Azhari, Ahmad; Ammattulloh, Fathia Irbati
Signal and Image Processing Letters Vol 1, No 1 (2019)
Publisher : Association for Scientific Computing Electrical and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/simple.v1i1.89

Abstract

The brain controls the center of human life. Through the brain, all activities of living can be done. One of them is cognitive activity. Brain performance is influenced by mental conditions, lifestyle, and age. Cognitive activity is an observation of mental action, so it includes psychological symptoms that involve memory in the brain's memory, information processing, and future planning. In this study, the concentration level was measured at the age of the adult-early phase (18-30 years) because in this phase, the brain thinks more abstractly and mental conditions influence it. The purpose of this study was to see the level of concentration in the adult-early phase with a stimulus in the form of cognitive activity using IQ tests with the type of Standard Progressive Matrices (SPM) tests. To find out the IQ test results require a long time, so in this study, a recording was done to get brain waves so that the results of the concentration level can be obtained quickly. EEG data was taken using an Electroencephalogram (EEG) by applying the SPM test as a stimulus. The acquisition takes three times for each respondent, with a total of 10 respondents. The method implemented in this study is a classification with the k-Nearest Neighbor (kNN) algorithm. Before using this method, preprocessing is done first by reducing the signal and filtering the beta signal (13-30 Hz). The results of the data taken will be extracted first to get the right features, feature extraction in this study using first-order statistical characteristics that aim to find out the typical information from the signals obtained. The results of this study are the classification of concentration levels in the categories of high, medium, and low. Finally, the results of this study show an accuracy rate of 70%.
Solenoid as a Wheeled KRSBI Robot Kicking Mechanism Nurimam, Ahmad; Puriyatno, Riky Dwi
Signal and Image Processing Letters Vol 4, No 1 (2022)
Publisher : Association for Scientific Computing Electrical and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/simple.v4i1.37

Abstract

Some types of kickers used are kicker mechanisms using spring, pneumatic, and solenoid. One of the uses of the magnetic field is to use a solenoid as a kicking mechanism in a robot, the magnetic field generated from the solenoid is able to move the plunger or iron core, designing the tool using copper weighing 2 kg. The problem faced is that the kick is not far away and the effects of the electromagnetic field generated from the solenoid can interfere with the electronic system on the robot. In this study, making a solenoid with the middle dimensions on the solenoid to 41 mm and the diameter of the plunger to 38 mm and using a cover with an iron faraday cage method with a   thickness of 2 mm to minimize the magnetic field generated from the solenoid. In this study, the mechanism solenoid consists of 1 mm enamel wire and has a copper winding with a total of 1210 windings, in the power supply of a 12V Li-Po battery which is stepped up in its voltage to 400V and stored in a capacitor using a capacity of 5600 μF. By applying a solenoid voltage of 400V and a current of 4 A and being able to produce kicks with a distance of more than 6.68 meters, the height of which is able to pass through obstacles or obstacles.
IoT-based Low-cost Children Tracker System Marhoon, Hamzah M; Ma'arif, Alfian; Aljanabi, Haider Dheyaa Kamil; Alanssari, Ali Ihsan; Nadheer, Israa
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.v5i1.62

Abstract

Recently many cases of missing children between ages 14 and 17 years have been reported. Parents always worry about the possibility of kidnapping their children. This work proposes an Android-based solution to aid parents to track their children in real-time. Nowadays, most mobile phones are equipped with internet service capabilities allowing them to connect with the world. The system's architecture is built on two main components: GPS satellite and IoT technology. The most important features of this work are the low cost, lightweight, and small size. The Blynk app is installed on the mobile phone and the GPS is attached to the NodeMCU microcontroller. The location information is reached through the Blynk app with the help of map services.
Temperature Monitoring System Internet of Things-based Electric Cars (IoT) Ardana, Regina Olivia Fitri; Ma'arif, Alfian; Marhoon, Hamzah M; Salah, Wael; Sharkawy, Abdel-Nasser
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.v7i1.107

Abstract

Electric cars are a means of transportation that can meet the mobility needs of the community but are still environmentally friendly because they have no air pollution or exhaust emissions. Electric cars at Ahmad Dahlan University began to be made since 2019. In the effort to develop this electric car, there are several obstacles in monitoring the tools on the electric car during the race. So this research provides an Internet of Things-Based Battery and BLDC Motor Temperature Monitoring System on the ADEV 01 Monalisa Electric Car. which is made using several components including the DS18B20 Sensor, ADEV BLDC Motor, NodeMCU ESP32, LCD (Liquid Crystal Display). This research method develops a temperature monitoring system on an Internet of Things-based electric car using the Thinger.io platform. in this study tested the effectiveness of the DS18B20 temperature sensor in monitoring the temperature of the Battery and BLDC Motor on the ADEV 01 Monalisa electric car. the tests carried out were static testing, dynamic testing, testing data transmission to the Thinger.io platform, and distance testing. The results of testing the battery and BLDC motor on the ADEV 01 Monalisa Electric Car in a static state are good because the reading error is 0.60% and 0.50%. As for testing while running, namely 0.90% and 0.86%. Testing on the Internet of Things is successfully sent with a stable and fixed delay. therefore this parameter is good for monitoring electric vehicles. Researchers conducted distance testing for the Internet of Things using Thinger.io which aims to find out how far the internet connection can send sensor readings to Thinger.io. so the results obtained that a distance of 230 meters the internet connection is disconnected and cannot send data to Thinger.io.
Application of Genetic Algorithms for Multiple Traveling Salesman Problems: A Case Study of Distribution of Sacrificial Animal Meat at the Islamic Center in Mataram City Alqorni, Wais; Prahara, Adhi
Signal and Image Processing Letters Vol 4, No 1 (2022)
Publisher : Association for Scientific Computing Electrical and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/simple.v4i1.31

Abstract

Islamic Center of Mataram is the center of Islamic religious activities. On Eid al-Adha and Tasyrik Day, animals are slaughtered. The average amount of animal meat that will be distributed annually is 7500 Kg of raw meat where will be distributed to 9 (nine) urban villages in Mataram City. In distributing the meat of the sacrificial animal, they only have limited time and staff, which is only done on 3 days of Tasyrik or sometimes only 2 days because the slaughtering is not carried out immediately after Eid prayer. Distribution starts from 12.00 - 16.00 every day. To help the problem of the distribution process, known as the Multiple Traveling Salesman Problem, the author uses a genetic algorithm to solve the problem. To build a software to implement Genetic Algorithm on the M-TSP problem in the distribution of sacrificial animal meat, several stages are carried out, starting from collecting data used to apply genetic algorithms, designing display prototypes and features to be able to process the data that has been collected, stages of system coding become a web-based system and finally testing the system that has been made. By implementing officer data and distribution locations which will then be tested using one of algorithms, namely the Genetic Algorithm. The accuracy and efficiency of the total distance that will be taken in making a distribution route using this algorithm where calculation is carried out by finding the largest fitness value from several kromosomal populations that are generated after going through crossover process and gene mutations on each kromosome. The result from this system tests with different method are 100% from using a black box, and 81.7 from using SUS testing which is classified as good. The best average fitness value resulting from testing the distribution system of sacrificial animal meat using the number of chromosomes 9 as many as 5 experiments using the number of generations 3, and the crossover parameter = 40% and mutation = 40% which is 0.045 with a total distance of 22.33 km. The design of this system is very useful for the administrators Islamic Center of Mataram ta'mir as a reference in determining optimal route in process of distributing sacrificial animal meat as well as for authors in applying the scientific theory they have.
Monitoring and Control of Home Garage Access Using Iot-based Smartphones Pratama, Bagas Yudhi; Sunardi, Sunardi
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.v2i2.64

Abstract

Technological developments are increasing to help facilitate human work, including developing control of equipment using smartphones. The system built in this study utilizes the Internet of Things (IoT) and the blynk application as a controller for the garage door opening and closing system using a smartphone to make it easier for owners to open and close the garage door without having to get out of the vehicle and do it manually. The system is built using the NodeMCU ESP8266 microcontroller which is connected to the blynk application to control the opening and closing of the garage door. Ultrasonic sensors are used to monitor the condition of the vehicles in the garage, while servo motors are used to open and close the garage door. This home garage access prototype using an IoT-based smartphone has succeeded in being able to open and close the garage door using the blynk application with a duration of 10 seconds when opening or closing the garage without having to do it manually. In this system, the user can monitor the condition of the garage for the presence or absence of vehicles by using the application.
Performance Analysis of LDR, Photodiode, and BH1750 Sensors for Sunlight Intensity Measurement in Open Areas Shiddiqy, Muhammad Iqbal Ash; Sunardi, Sunardi
Signal and Image Processing Letters Vol 6, No 1 (2024)
Publisher : Association for Scientific Computing Electrical and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/simple.v6i1.96

Abstract

Light, as an electromagnetic phenomenon, can be elucidated as both a wave and a particle. The wave-particle duality portrays light as an electromagnetic wave and discrete particles known as photons. The spectrum of light represents the wavelength in a visual array of colors. Optics, a vital field in physics, delves into the characteristics of light. Light, an electromagnetic wave with a wavelength of 380-750 nm, exhibits dual nature as both a wave and a particle. Light intensity is measured in lumens or lux, indicating the strength of a light source in a specific direction per unit angle. The human eye, sensitive to the visible light spectrum, holds significance in optics and photometry. Light sensors such as LDR, Photodiode, and BH1750 sensor transform light information into electronic signals for electronic devices like the Arduino Uno microcontroller. The research was methods by measuring light intensity for 5 days at 3 different times (morning, noon and afternoon) simultaneously and open area. The parameters that form the basis of the comparison include error values, stability in the calibration process, light intensity measurement range, and sensor price. Data was collected at the same time during the day to ensure consistent test conditions. Based on the research findings, the BH1750 sensor was selected as the most effective among the three sensors used, exhibiting the smallest average error value of 0.755%. It is easily calibrated, has a wide intensity measurement range (0-65535 lux), and comes at a relatively affordable price.
Mangrove Forest Classification in Drone Images Using HSV Color Moment and Haralick Features Extraction with K-Nearest Neighbor Widodo, Agus Wahyu; Hernando, Deo; Mahmudy, Wayan Firdaus
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.v1i3.6

Abstract

Due to the problems with uncontrolled changes in mangrove forests, a forest function management and supervision is required. The form of mangrove forest management carried out in this study is to measure the area of mangrove forests by observing the forests using drones or crewless aircraft. Drones are used to take photos because they can capture vast mangrove forests with high resolution. The drone was flown over above the mangrove forest and took several photos. The method used in this study is extracting color features using mean values, standard deviations, and skewness in the HSV color space and texture feature extraction with Haralick features. The classification method used is the k-nearest neighbor method. This study conducted three tests, namely testing the accuracy of the system, testing the distance method used in the k-nearest neighbor classification method, and testing the k value. Based on the results of the three tests above, three conclusions obtained. The first conclusion is that the classification system produces an accuracy of 84%. The second conclusion is that the distance method used in the k-nearest neighbor classification method influences the accuracy of the system. The distance method that produces the highest accuracy is the Euclidean distance method with an accuracy of 84%. The third conclusion is that the k value used in the k-nearest neighbor classification method influences the accuracy of the system. The k-value that produces the highest accuracy is k = 3, with an accuracy of 84%.
Electricity Power Monitoring Based on Internet of Things Saputra, Ekky Haqindytia; Ma'arif, Alfian; Alayi, Reza
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.v5i1.48

Abstract

Every year, electricity consumption in Indonesia has increased in line with population growth and the national economy. One of the factors causing an increase in electricity consumption in Indonesia, one of which is caused by the lifestyle of modern society which is wasteful in using electricity. Modern society is increasingly using electricity inefficiently. One potential solution to this problem is the use of the Internet of Things (IoT) concept. The Internet of Things, or IoT for short, is a system of connected computing devices whose sole purpose is to maximize the benefits of an internet connection. The system built using the PZEM-004T sensor which is processed by the Arduino Uno microcontroller will be sent to Wemos D1 Mini via serial communication (TX-RX) so that it can be displayed on the BLYNK New IoT application on a smartphone. As for the parameters that will be displayed in the BLYNK application, namely voltage, current, and power usage of electrical devices. By using this application, users will be able to more easily and effectively monitor and how much electrical energy is used by equipment remotely. This equipment has been tested from September to October, on 5 electronic devices such as lights, TVs, refrigerators, rice cookers, fans with satisfactory results, namely being able to monitor the use of electrical devices using smartphones through the blynk application.
Design of Omron PLC Based Automatic Car Wash Prototype Anggoro, Rois Aditya Yoga; Puriyanto, Riky Dwi
Signal and Image Processing Letters Vol 3, No 2 (2021)
Publisher : Association for Scientific Computing Electrical and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/simple.v3i2.41

Abstract

Increasing automotive production indirectly greatly affects the progress of an increasingly modern era. Indirectly, production in factories will increase to meet the needs and desires of transportation consumers. Therefore, the use of PLC in the industrial sector as production plays an important role in helping humans to do heavy work. The growing demand for increased mobility needs will indirectly require owners to take care to maintain cleanliness in mobility transportation. Therefore, we need a system that can control automatic car washing. This automatic car wash system uses PLC CJ1M with a prototype design of 24cm long, 15cm wide and 15cm high and uses an infrared sensor which is used to read the presence of the car and a pg28 dc motor which is used as the main driver. The programming language used is the ladder language in CX-Programmer. Where this ladder language is used to control several processes, namely, watering, soaping, scrubbing, rinsing water and the drying process. From this research, the researcher obtained the results that the time obtained from manual and automatic calculations to run a washing process by giving a set value of 5 on the counter will give the difference in time obtained, namely watering 1.54 seconds, sprinkling soap water 3.01 seconds, rubbing 3.13 seconds, 3.09 seconds of water rinsing and the same time for the drying process. From the use of the infrared analog sensor used, it successfully reads the presence of the car in front of it and the design of this prototype runs with a predetermined process.

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