cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Ahmad Azhari
Contact Email
simple@ascee.org
Phone
-
Journal Mail Official
simple@ascee.org
Editorial Address
Jl. Raya Janti No.130B, Karang Janbe, Karangjambe, Kec. Banguntapan, Kabupaten Bantul, Daerah Istimewa Yogyakarta 55198
Location
Kab. bantul,
Daerah istimewa yogyakarta
INDONESIA
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
 4   5   6   7   8 
Real-time Facial Expression Recognition to Track Non-verbal Behaviors as Lie Indicators During Interview Setiawan, Arif Budi; Anwar, Kaspul; Azizah, Laelatul; Prahara, Adhi
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.v1i1.85

Abstract

During interview, a psychologist should pay attention to every gesture and response, both verbal and nonverbal language/behaviors, made by the client. Psychologist certainly has limitation in recognizing every gesture and response that indicates a lie, especially in interpreting nonverbal behaviors that usually occurs in a short time. In this research, a real time facial expression recognition is proposed to track nonverbal behaviors to help psychologist keep informed about the change of facial expression that indicate a lie. The method tracks eye gaze, wrinkles on the forehead, and false smile using combination of face detection and facial landmark recognition to find the facial features and image processing method to track the nonverbal behaviors in facial features. Every nonverbal behavior is recorded and logged according to the video timeline to assist the psychologist analyze the behavior of the client. The result of tracking nonverbal behaviors of face is accurate and expected to be useful assistant for the psychologists.
Android-based Heart Rate and Blood Oxygen Level Monitoring System (Oximeter) Saputra, Candra Deska; Yudhana, Anton
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.v3i1.34

Abstract

The development of increasingly modern technology makes it possible to create a more advanced tool. The health sector as one of the important components of life also does not escape the support of technology. One of its implementations is an android-based heart rate and oxygen level monitoring system (oximeter). Heart rate monitoring can be done by everyone by utilizing existing technological developments. Measurements are made using only the fingers of the hand as input. The purpose of this study was to determine the design of a research tool for a heart rate monitoring system and blood oxygen levels (oximeter) based on android. This measuring instrument uses a Max30100 sensor which is attached to one person's fingertip to detect a heart rate signal, then the data generated by the sensor is received by Arduino, after that it is forwarded to Bluetooth and displayed on the Android application, then it will be processed into beats per minute (BPM) and blood oxygen levels (SPO2) so that you can find out the results of heart rate and oxygen levels displayed on Android. Based on the results obtained in heart rate monitoring, it can work well so that it can be seen the results of measurements using a device made with a person in normal conditions the heart rate beats between 60 to 75 beats per minute  (BPM) and oxygen levels (SpO2) which can beat between 95 to 100, while using pulse oximetry  results in normal body conditions the heart rate beats between 60 to 75 beats per minute  (bpm) and oxygen levels (SpO2) which can be between 95 and 100 oxygen levels (SpO2).
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.
Improvement of Power in Piezoelectric Energy Harvesting Systems Using the Synchronized Switch Harvesting Inductor (SSHI) Technique Fikri, M. Ihsanul; Baswara, Ahmad Raditya Cahya
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.v6i1.103

Abstract

Energy needs have always been a problem that must be solved, the utilization of fossil energy sources is a solution that is widely used, but this energy source can run out at any time. The idea to create an energy producer that utilizes mechanical energy from the motion of objects, creating a tool in the form of a floor that can produce electrical energy by utilizing piezoelectricity as a harvester with SSHI technique as an optimizer. Piezoelectric is a sensor that can react when given vibration or pressure. The energy harvesting floor is made using piezoelectrics arranged in series of 16 pieces, this harvesting tool is assisted by standard energy harvesting (SEH) and syncronized swiych harvesting inductor (SSHI) techniques this technique combines several components namely, MOSFET IRF530N, Inductor, reactifier, capacitor. This floor can produce 5V AC energy in a few steps, and produce 2V - 2.5V DC after entering the rectifier, after being given a load in the form of a capacitor and LED the voltage generated per beat is 0.03V - 0.06V, this study compares the harvesting circuit using SSHI and not using SSHI, getting the conclusion SSHI as a harvesting stabilizer dampens the resulting power surge.
Multinomial Naïve Bayes for Sentiment Analysis of Indonesian's Local Government Performance Azhari, Ahmad; Hadi, Muhammad Saepul
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.v3i2.22

Abstract

Digitalization of government performance, in conveying information and getting criticism, suggestions, and complaints from the public, is currently being carried out using social media. The use of social media is a form of government responsibility and openness to society. The high number of Twitter users in Indonesia, which reaches 6.43 million, allows the government to get many responses from the public. This background provides an opportunity for the public to be able to measure government performance based on a number of criticisms, suggestions, and complaints that the government responds to. However, public sentiment towards government performance has not been used as an evaluation and benchmark for the government in determining policies. The purpose of this research is to build a social media twitter sentiment analysis system to measure public sentiment towards local government performance by implementing Multinomial Naïve Bayes. This research is divided into several stages including tweet grabbing, manual tweet filtering, tweet labeling, split tweets, preprocessing tweets, term frequency, classification, and evaluation. The tweet retrieval process was carried out on 1 June - 31 July 2020 with 2000 tweets used from the total tweets obtained after manual filtering was carried out. This study shows that the sentiment analysis carried out obtained an accuracy of 80%, a precision of 78%, and a recall of 82%.
Automation of Water Circulation Regulation and Nutritional Administration in Catfish Cultivation Ponds with Bioflocculation Technology Ashari, Irvan; Yudhana, Anton
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.v5i1.52

Abstract

Many catfish cultivators in Indonesia have failed due to lack of attention to the quality of the water used in aquaculture ponds. Water quality is very influential on the catfish farming system with biofloc technology, water has the most important role for the survival of catfish. This research periodically measures the level of turbidity and pH in the water, then the readings from the sensor will be processed by Arduino Uno which will be displayed on the LCD. In addition, this tool can also schedule the provision of nutrients as desired and is able to perform automatic water changes according to the conditions of the aquaculture pond, if the pH and turbidity conditions of the pond exceed the existing threshold, it will activate the drain pump and water increase. The accuracy of the acidity (pH) sensor has an accuracy rate of 96.21% which is very good, with a standard deviation of 2.49. The turbidity sensor has a standard deviation of 0.133. So this tool is designed to make it easier for cultivators to take care of the pond. The hope is that by making this tool it can overcome or overcome the mortality rate of catfish among cultivators.
Kalman Filter for Noise Reducer on Sensor Readings Ma'arif, Alfian; Iswanto, Iswanto; Nuryono, Aninditya Anggari; Alfian, Rio Ikhsan
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.v1i2.2

Abstract

Most systems nowadays require high-sensitivity sensors to increase its system performances. However, high-sensitivity sensors, i.e. accelerometer and gyro, are very vulnerable to noise when reading data from environment. Noise on data-readings can be fatal since the real measured-data contribute to the performance of a controller, or the augmented system in general. The paper will discuss about designing the required equation and the parameter of modified Standard Kalman Filter for filtering or reducing the noise, disturbance and extremely varying of sensor data. The Kalman Filter equation will be theoretically analyzed and designed based on its component of equation. Also, some values of measurement and variance constants will be simulated in MATLAB and then the filtered result will be analyzed to obtain the best suitable parameter value. Then, the design will be implemented in real-time on Arduino to reduce the noise of IMU (Inertial Measurements Unit) sensor reading. Based on the simulation and real-time implementation result, the proposed Kalman filter equation is able to filter signal with noises especially if there is any extreme variation of data without any information available of noise frequency that may happen to sensor- reading. The recommended ratio of constants in Kalman Filter is 100 with measurement constant should be greater than process variance constant.
Letter Detection: An Empirical Comparative Study of Different ML Classifier and Feature Extraction Wibawa, Aji Prasetya; Putri, Nastiti Susetyo Fanany; Widiharso, Prasetya
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.v5i1.45

Abstract

Work and communication activities are inextricably linked. Letters are an example of a communication medium that is still widely utilized. When it comes to significant job, however, simply an official letter is required. Official and private letters must be distinguished and classified. Different feature extraction methods, such as the count-vectorizer and TF-IDF vectorizer, are employed to transmit the detection of this official and personal letter. To categorize letters by type, various machine learning (ML) techniques are employed. Nave Bayes, Support vector machine, and AdaBoost are the algorithms. The accuracy measurements used in this study include accuracy scores, F1-mean, recall, and precision. The best working algorithm is Naïve Bayes for two vectorizer methods used, with an accuracy value of 98%.
Microcontroller-based Soft Starter and Overcurrent Detector for Enhancing Performance of Induction Motor Lestiana, Leila; Muchlas, Muchlas; Sutikno, Tole
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.v6i1.92

Abstract

When an induction motor starts up, it draws a large current, which can damage it and cause a voltage dip effect that interferes with other electrical equipment. The machine, however, has numerous applications, particularly in the industrial sector, due to its low cost, robustness, and dependability. Induction motor performance must be improved to reduce starting current surges and protect against overcurrent. Thyristors are used in the developed system to control the voltage level. The microcontroller's trigger pulse causes a ramp-up in supply voltage, resulting in a soft-starting effect in a 1-phase induction motor. The system detects overcurrent using the popular current sensor module. This research results in a high-performing soft starter and overcurrent detector. When compared to supplying the motor directly online, the soft-starter unit can reduce the starting current by 55%. Meanwhile, the embedded overcurrent detector performs admirably, accurately detecting motor overcurrent and cutting off the power supply when the motor reaches overcurrent.
Alarm System and Suitcase Tracker with Arduino Microcontroller Based on the Internet of Things Prihandono, Yudi Renaldi; Baswara, Ahmad Raditya Cahya
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.v4i2.38

Abstract

Suitcases are prone to criminal crimes, because suitcases are a place to store valuables, especially when traveling. It is difficult to track the availability of suitcases because there are too many of the same suitcases. Research on the manufacture of alarm tools and suitcase trackers is intended to design and build a luggage tracking system using GPS, SIM 800L, Buzzer, Li-Ion 18650 Battery, and Arduino Nano which can provide alerts through smartphones connected to IoT. To find out how the system works well, testing is carried out by measuring the length of time it takes for alarm devices and suitcase trackers to track and the time it takes for the alarm to sound. The successful design of an alarm and suitcase tracker using GPS, SIM 800L, Buzzer, IoT, Li-Ion 18650 Battery, and Arduino Nano. GPS devices can lock signals with an accuracy of 98.53% for operator one and by 35.59% for operator two in a closed room state, by 97.71% for operator one, and by 62.85% for operator two in an open room state. The phone delay time with buzzer has an average delay time value of 14 seconds for operator one and 16.4 seconds for operator two and an accuracy value of 98.78%. Thus using operator one is more efficient than operator two.

Page 6 of 9 | Total Record : 89

 4   5   6   7   8 

Filter by Year

2019 2025


Reset
Filter By Issues
All Issue Vol 7, No 2 (2025) Vol 7, No 1 (2025) Vol 6, No 2 (2024) Vol 6, No 1 (2024) Vol 5, No 3 (2023) Vol 5, No 2 (2023) Vol 5, No 1 (2023) Vol 4, No 3 (2022) Vol 4, No 2 (2022) Vol 4, No 1 (2022) Vol 3, No 3 (2021) Vol 3, No 2 (2021) Vol 3, No 1 (2021) Vol 2, No 2 (2020) Vol 2, No 1 (2020) Vol 1, No 3 (2019) Vol 1, No 2 (2019) Vol 1, No 1 (2019) More Issue