cover
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
ISSN : 27146669     EISSN : 27146677     DOI : 10.31763/simple
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.
Articles 5 Documents
Search results for , issue "Vol 3, No 1 (2021)" : 5 Documents clear
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).
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.
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.
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).
IMU Sensor Based Home Search Method Using Backtracking Algorithm on Hexapod Robot in Indonesia Fire Extinguisher Robot Contest Maydevanti, Yesa Friti; Widodo, Nuryono Satya
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.v3i1.42

Abstract

Abstract-This paper describes the IMU sensor-based home search using a backtracking algorithm on a hexapod robot in the Indonesian fire fighting robot contest. The search for the homepage in this Indonesian legged robot contest is part of the robot's mission to achieve maximum points in the race. The algorithm discussed in this paper is a backtracking algorithm. Where the robot will return to the initial position by tracing solutions that meet the requirements. By using the IMU BNO055 sensor the robot will follow the direction that will depart then will guide the robot back to its home position. The results show that the backtracking algorithm is successfully implemented. So that the robot will still return home even though an error occurs when crossing the room intersection.

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