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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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Automatic Tourism Waste Selection Using Image Digital and Artificial Intelligence (AI) Bakir, Muh Janwar; Fathurrahman, Haris Imam Karim
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.v5i2.94

Abstract

Garbage is leftovers or discarded items that are no longer used and are no longer used by their owners. Waste is generally divided into two, namely organic and inorganic waste. Both of these wastes have benefits for us, but they also have an impact on the environment. Organic waste is waste that comes from the remains of living creatures (nature) such as animals, humans, plants that are experiencing decay or weathering. This waste is classified as environmentally friendly waste because it can be broken down by bacteria naturally and quickly. The research object studied in this research is camera detection on a waste detection tool using a camera which aims to detect types of tourism waste, where in this research I will conduct research on the detection of organic and non-organic tourism waste. The waste problem in Indonesia is caused by an increase in waste produced by the community, a lack of rubbish disposal sites (TPS), the spread of insects and rats due to rubbish, as well as environmental pollution through land, water and air pollution. So it is hoped that this tool will be able to reduce the waste problem in Indonesia, especially in the tourism environment. In this study, an average value of 0.83% was obtained, where the results were in accordance with the initial target when starting training and carrying out detection. This makes it possible to move the servo more accurately because the detection results have a high value. From the test results above, an accuracy of 90% was obtained, and the results of the servo movement were in accordance with the detection results, where if the results were organic waste detection, the servo would rotate 90 degrees and if the detection results were non-organic, the servo would not move or remain in the 0 degree position. There was no error in servo accuracy, but the error in detection was 10% from 20 samples which resulted in the servo moving in the direction of the servo movement in the error detection direction.
A Splicing Technique for Image Tampering using Morphological Operations Gaffar, Achmad Fanany Onnilita; Supriadi, Supriadi; Saputra, Arief Bramanto Wicaksono; Malani, Rheo; Wajiansyah, Agusma
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.v1i2.4

Abstract

Image tampering is one part of the field of image editing or manipulation that changes certain parts of the graphic content of a given image. There are several techniques commonly used for image tampering, such as splicing, copy-move, retouching, etc. Splicing is a type of image tampering technique that combines two different images, replacing particular objects, skewing, rotation, etc. This study applies the splicing technique to image tampering using morphological operations.  Morphology is a collection of image processing operations that process images based on their shape. The aim of this study is to replace particular objects in an original image with other objects that are similar to another selected image.  In this study, we try to replace the ball object in the original image with another ball object from another image
Monitoring Tools of Water Temperature and pH in Fresh Water Fish Pool Based on the Internet of Things (IoT) Amin, Muhammad; Ma'arif, Alfian; Suwarno, Iswanto
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.v4i2.51

Abstract

One of the fish species that can live in high salinity (euryhaline) is tilapia (Oreochromis niloticus). It is not surprising that tilapia can be found in brackish water, swamps, reservoirs, lakes and rivers. The growth rate of tilapia is influenced by age and water quality as well as the quality and quantity of feed given. The definition of growth is the increase in weight and also the length of the body of living things during a certain period of time. These parameters should be monitored for the survival of the fish. The use of Internet of Things (IoT) can be used as a monitoring and automation system for fish environmental parameters. IoT in this research was chosen because this system can simplify human work. The instruments needed in designing the monitoring system include components that function as the main controller, namely the Node MCU ESP2866 microcontroller, components for detecting water pH levels, namely a pH meter sensor type pH-4502C, and a water temperature measuring component, namely DS18B20. NodeMCU is the main component as a microcontroller as well as a component that connects to Wi-Fi. This system displays the temperature and pH of the water on the LCD and is sent to the android application. The results of the design of the temperature and pH monitoring tool obtained the average error value on temperature readings is 0.88%. The small error value gives the conclusion that the temperature sensor readings in this study are accurate. The pH acidity reading has an average error value of 0.42%. The small error value gives the conclusion that the pH sensor readings in this study are accurate. With the results of sensor value readings and errors, it can be concluded that the tool can be used and can work properly.
Implementation of Base Station Communication Systems on Wheels Football Robots Agitasani, Revi; Puriyanto, Riky Dwi
Signal and Image Processing Letters Vol 4, No 2 (2022)
Publisher : Association for Scientific Computing Electrical and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/simple.v4i2.39

Abstract

In the wheeled soccer robot contest competition, you have to prepare a strategy to win the race. The strategy used is a communication system. The communication system on the wheeled soccer robot has an important role during the match. This research will discuss the implementation of the GUI on the Base Station using the processing 3 application in its manufacture and using the Java language and analyzing data transmission. The use of the GUI is shown to make it easier to control robots during matches and minimize human work. The communication system used uses multicast with the UDP (User Datagram Protocol) protocol. Based on the results of research using the UDP protocol, the data transmission carried out by the GUI at the Base Station can function as a robot sending data. The resulting average delay is the farther the distance the more the average delay generated. The success rate of delivery is 100%.
Direct Current Processing in DC Motor Using Arduino and Peak Value Method Ma'arif, Alfian; Sari, Nurjanah Arvika; Prasetya, Wahyu Latri; Feter, Muslih Rayullan; Saputra, Dodi; Setiawan, Muhammad Haryo
Signal and Image Processing Letters Vol 3, No 3 (2021)
Publisher : Association for Scientific Computing Electrical and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/simple.v3i3.79

Abstract

The research proposes about monitoring current of Direct Current (DC) Motor using microcontroller, current sensor and peak value method. The device is Arduino Uno R3 microcontroller, current sensor INA 219, motor driver L298, DC motor JGA25-370 and computer. The algorithm detects the inrush of the DC Motor Current. In the experiment result, the device can measurement the current sensor by varying the Pulse Width Modulation (PWM) such as 50-150. The method can avoid the zero current value. Thus, the proposed method could be implemented for monitoring the direct current of DC Motor.
Design of Automatic Attendance System Using RFID and ESP32 Based on Internet of Things (IoT) Febriana, Lutfi Afudn; Aji, Wahyu Sapto
Signal and Image Processing Letters Vol 6, No 2 (2024)
Publisher : Association for Scientific Computing Electrical and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/simple.v6i2.113

Abstract

The development of RFID technology in the field of education is quite interesting, including the implementation of an automated presence system that is integrated with the database that supports the processing of information about the presence of lectures. The app consists of several major components, such as an RFID Tag, an RFID Reader, and the ESP32 microcontroller. RFID Tags are used to read data and serve as student IDs. This tool system is integrated into the website according to the concept of the Internet of Things. This concept is the communication between the tool system and the website; data is automatically stored directly into the database that has been provided. The mode used by the presence system consists of two modes, namely list mode and presence mode. The functionality of the system hardware and software has been tested to ensure that the tools and components work properly and can function as required. The test results showed that the distance required to be able to read RFID Tags was 0 to 2.5 cm, the read time of an RFID Tag was an average of 2.39 seconds, and the update time of website data was 3.33 seconds. The performance of the system in testing failed to read an RFID Tag three times, with a success rate of 85.71%.
Multivariate Time Series Stock Price Data Prediction in The Banking Sector in Indonesia Using Bidirectional Long Short-Term Memory (BiLSTM) Pramesti, Mara Indar; Indikawati, Fitri Indra; Prahara, Adhi
Signal and Image Processing Letters Vol 4, No 2 (2022)
Publisher : Association for Scientific Computing Electrical and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/simple.v4i2.33

Abstract

The capital market is a place for individuals or business entities to carry out investment activities, especially in the banking sector, one of the sectors in the LQ45 stock index which is in great demand by investors in Indonesia. In the capital market, one of the investments that can be made is stock investment, but investors will be faced with uncertainty by fluctuations in stock prices caused by several factors, one of which is macroeconomic factors. Therefore, a predictive analysis of stock prices is needed to prevent uncertainty and minimize losses. Accurate prediction models can use deep learning algorithm methods. In the prediction of stock price movements, the data used is historical data on stock prices which is time series type data. This study conducted stock price predictions using the Bidirectional Long Short-Term Memory (biLSTM) method. biLSTM is another variation of the LSTM model. The object of this study uses the variables open, close, adj close, low, high, volume, value, buying rate, selling rate. The data that has been obtained will be preprocessing. Next build a prediction model using hyperparameter tuning with Genetic Algorithm (GA), train the model and evaluate the model. Data testing was carried out using Root Mean Squared Error (RMSE) and Mean Absolute Percentage Error (MAPE) with 4 data from the banking sector in Indonesia including Bank BRI, Bank BNI, Bank BCA, and Bank Mandiri. Based on the data testing that has been carried out, the results of the biLSTM algorithm can predict stock prices accurately because it has a relatively low RMSE value with a MAPE value below 10%.
Design and Construction of Measuring the Height Underground Tank SPBU Using Raspberry Pi Irahadiputra, Wisnu Franca; Fadli, Abdul
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.v4i3.67

Abstract

A fuel Station or commonly abbreviated as a gas station, is a place to refuel motor vehicles. At gas stations, there are submersion tanks to store oil reserves. In checking, it is still used manual method. The manual method that is still carried out today is considered less efficient in terms of time and accuracy of measuring instrument readings. Moreover, nowadays, it is possible to create digital measuring instruments. In this study, a digital measuring instrument will be designed using raspberry pi. In this study, a prototype of a tubular gas station submersion tank will be made. The measuring instrument consists of raspberry pi as the main processor of the system, using HCSR04-type ultrasonic sensor and LCD as the result viewer. From the research that has been made, a prototype of a submersion tank with dimensions of 60 cm long and 30 cm in diameter has been made. Volume analyzers are able to read with an error percentage of 0.9% in horizontal tube testing and 0.6% in vertical tube testing. The prototype of the gas station submersion tank as an oil container was successfully made and measured in volume by a digital measuring instrument using raspberry pi.
Design the Effectiveness of Various Temperature and Humidity Sensors for Outdor Rurono, Sastro; Sunardi, Sunardi
Signal and Image Processing Letters Vol 5, No 3 (2023)
Publisher : Association for Scientific Computing Electrical and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/simple.v5i3.101

Abstract

Effectiveness is a condition that shows the level of success or achievement of goals measured by quality, quantity, and time in accordance with what has been planned before. The temperature sensor measures the amount of hot / cold energy produced by the object so that it is possible to know or detect the symptoms of temperature changes in the form of analog or digital outputs. A humidity sensor is a measuring instrument to assist in the process of measuring or defining the humidity of water vapor contained in the air. This study used three categories of low price, standard, and expensive. The sensors used are temperature and humidity sensors, namely DHT11, DHT21, and DHT22 which are tested at three different times namely morning, afternoon, and night outdoors, as well as in extreme hot temperature conditions using irons and extreme cold temperature conditions using ice cubes inserted into containers.  This study used a thermohygrometer as a comparison to determine the accuracy of the sensor. After taking data at three different times, namely morning, afternoon, and night outdoors and in extreme hot temperature conditions using irons and extreme cold conditions using ice cubes 30 times, the results obtained were DHT22 sensors with expensive categories whose effectiveness was better than DHT11 sensors and DHT21 sensors. Data from DHT11 morning difference in average temperature (T) = 0.70°C and humidity (H) = 20%, day 1.2°C and 10%, and night 0.70°C and 22%, as well as extreme heat 2.50°C and 4% and extreme cold temperatures average 0.50°C and 15%. The DHT21 sensor in the morning showed an average difference of 0.20°C and 12%, afternoon differences of 0.80°C and 15%, and night 0.30°C and 10%, as well as extreme heat of 0.90°C and 12% and extreme cold of 4.30°C and 4%. DHT22 sensor in morning difference of 0.10°C and 9%, afternoon 0.60°C and 15%, and night 0.10°C and 13%, as well as extreme heat 0.30°C and 12% and extreme cold temperature of 4°C and 2.50% compared to thermohygrometer.
Implementation Method Forward Chaining in Game Puzzle (Case Study in Paud Dini Laras Yogyakarta) Azhari, Ahmad; Dharma Ariawan, Ade
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.v3i1.32

Abstract

In the early childhood education stage, children will tend to be more interested in easy-to-play games that have animated images that attract attention. Whereas currently in learning PAUD children still use the game method using paper media so that the games provided will make children feel bored. This study aims to conduct a new teaching media approach namely Puzzle educational games using the Forward Chaining method as a research topic on compiling desktop-based images and games for PAUD children at DUD Laras Yogyakarta. This research uses Forward Chaining method as an implementation in a Puzzle Game that is R1 is the first rule that is known fact is the Random Puzzle box contained in each scene, R2 is the 2nd rule of the reasoning process when the matching premise is wrong then there is a temporary premise namely the trash box that hold until all the premises are properly matched, R3 is the 3rd rule that is the time and score as a conclusion the game can continue until the game is finished. This research resulted in 2 times Game testing. The first test using black box testing game application is correct and has no malfunction on the button and is feasible to be implemented. And the second test is the quality testing that has been done by testing the choice of answer categories from the questionnaire that has been distributed in the field, it can be concluded that the Puzzle Game is made easy to use and has a pretty good appearance and content suitable for early childhood play (PAUD).

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