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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 5 Documents
 1 
Search results for , issue "Vol 4, No 3 (2022)" : 5 Documents clear
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.
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.
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%.
Mixer Control System for Brick Making Based on PLC Omron CP1E-NA20DR-A Setiawan, Eka Budi; Aji, Wahyu Sapto
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.v4i3.69

Abstract

Bricks play a very important role in the construction of houses. No matter how beautiful a house is, without bricks, it cannot be said to be a house. With the development of architecture, bricks are not limited to the protection of the house, the role of bricks is now shifting towards a broader architectural design or construction. This research was conducted by designing hardware and software design and research materials. This hardware consists of several parts and ways of working in producing bricks, ranging from the frame as a support, control panel from PLC, pneumatic system, soil milling place, and 3-phase induction motor as a drive for the milling process so as to produce soil that is ready for molding. In programming the OMRON CP1E NA20DR-A PLC, supporting software is needed, namely CX-ONE software. CX-ONE software is designed on the software arranged according to the working principle, the volume of the mixture between 2 liters of soil and 2 liters of water using a delta circuit then a brick dough is produced that can be used properly. The existence of this tool is expected to make it easier to produce bricks.
Identification of Infant Crying Using Mel-Frequency Cepstral Coefficient (MFCC) and Artificial Neural Network (ANN) Methods Azhari, Ahmad; Destiyanti, Intan
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.v4i3.70

Abstract

The crying of infants aged 0-3 months can be classified according to their needs, as identified by Dunstan Baby Language, which consists of specific sounds denoting different needs. These sounds include "eairh" for discomfort caused by fart, "neh" indicating hunger, "heh" representing general discomfort, "owh" signaling tiredness or sleepiness, and "eh" expressing the need to burp. The baby crying sound data was obtained from the Dunstan Baby Language (DBL) database, which includes educational videos about infants and a collection of babies crying sounds. These sounds were converted into *.wav audio format and divided into 5-second segments. A total of 188 audio data segments were collected. The research employed the Artificial Neural Network (ANN) classification method and the Mel-Frequency Cepstral Coefficient (MFCC) feature extraction method. The collected data underwent feature extraction, aiming to identify distinctive characteristics using the librosa library in the Python programming language. This process allowed us to obtain specific information from the acquired sound data. The results of this study achieved an accuracy level of 90%. This research contributes to the understanding and classification of infant crying based on the Dunstan Baby Language, offering insights into their various needs. The implementation of ANN and MFCC techniques showcases the effectiveness of this approach in accurately classifying infant cries and provides a foundation for further research in the field of infant communication.

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