Garuda - Garba Rujukan Digital

SISTEM KONTROL MESIN PENUKARAN UANG KERTAS RUPIAH BERBASIS PENGOLAHAN CITRA DAN RASPBERRY PI Jalil, Abdul
ILKOM Jurnal Ilmiah Vol 10, No 2 (2018)
Publisher : Program Studi Teknik Informatika Fakultas Ilmu Komputer Univeristas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (504.755 KB)

The research purpose is to build a machine control system for exchange nominal of rupiahs paper money from big nominal to small nominal based on image processing and Raspberry Pi. The method for money exchange is detecting the authenticity of money, nominal of money, and amount of money exchange. The money authenticity was detected by the invisible image and nominal of money was detected by money color. Technique for detection the authenticity and nominal of money are using image processing that is processed on the Raspberry Pi. The algorithm used for detecting the authenticity and nominal of money are using template color algorithm and for exchange amount of money using the greedy algorithm. The research result is system able to detect the authenticity and nominal of paper money IDR 100.000, IDR 50.000, and IDR 20.000 then exchange it with the small nominal of money in accordance with the user choice.

ROBOT OPERATING SYSTEM (ROS) DAN GAZEBO SEBAGAI MEDIA PEMBELAJARAN ROBOT INTERAKTIF Jalil, Abdul
ILKOM Jurnal Ilmiah Vol 10, No 3 (2018)
Publisher : Program Studi Teknik Informatika Fakultas Ilmu Komputer Univeristas Muslim Indonesia

A robot is a prototype that is able to control by automatically to help the human work. Some of the parts to build a robot system are making the mechanical system, hardware, and software. The limitation of cost to make the robot hardware and programming skills are an obstacle to learn and develop the robot system. The development of the robot community nowadays makes the Robot Operating System (ROS) and Gazebo as an interactive media to learn and make the robot simulation. ROS is a middleware that equipped with tools and libraries to create a robot software, while Gazebo is a 3D simulation application to build a robot hardware design. On this paper, the researcher makes a robot simulation to avoid the object using Lidar sensor and camera, the simulation has developed using ROS and Gazebo that be able to use as a media for robot learning interactive.

Sistem Kontrol Deteksi Level Air Pada Media Tanam Hidroponik Berbasis Arduino Uno Jalil, Abdul
JURNAL IT: Media Infromasi STMIK Handayani Makassar Vol 8 No 2 (2017): Volume 8 Nomor 2, Agustus 2017 IT JURNAL
Publisher : LPPM- STMIK HANDAYANI MAKASSAR

Show Abstract | Download Original | Original Source | Check in Google Scholar

Tanaman hidroponik merupakan media tanam yang digunakan sebagai solusi bagi petani yang tidak membutuhkan lahan tanam yang luas. Tujuan dari penelitian ini adalah bagaimana membangun sebuah sistem pendeteksi level air pada tanaman hidroponik berbasis Arduino Uno. Masalah pada penelitian ini adalah bagaimana level air pada tanaman hidroponik dapat dikontrol agar dapat mempermudah petani dalam mengontrol volume air pada media tanam hidroponik. Solusi pada penelitian ini adalah membangun sistem untuk dapat mengontrol level air secara otomatis menggunakan sensor level air dan Arduino uno. Metode yang digunakan untuk menyelesaikan masalah adalah berupa media input, proses dan output. Input pada penelitian ini adalah menggunakan sensor level air, dimana terdapat tiga level air yang dideteksi yaitu level rendah, sedang dan tinggi. Proses pada penelitian ini adalah menggunakan Arduino uno sebagai pusat kontrol. Output pada sistem ini adalah menggunakan pompa air untuk mengontrol keluar masuknya air pada media tanam hidroponik. Hasil dari penelitian ini adalah sistem dapat mendeteksi ketinggian level air rendah 2 cm, ketinggian level air sedang 6 cm dan tinggi level air 10 cm. Pada saat  level air rendah maka pompa pengisi air akan aktif , jika level air sedang maka pompa pengisi dan penghisap akan mati dan jika air mencapai level tinggi maka pompa penghisap air akan aktif. Saran yang dapat dikembangkan pada penelitian ini adalah informasi pada sensor level air dapat dikontrol secara online menggunakan jaringan internet.  

PEMANFAATAN MIDDLEWARE ROBOT OPERATING SYSTEM (ROS) DALAM MENJAWAB TANTANGAN REVOLUSI INDUSTRI 4.0 Jalil, Abdul
ILKOM Jurnal Ilmiah Vol 11, No 1 (2019)
Publisher : Univeristas Muslim Indonesia

The industrial revolution 4.0 is the development of industrial based on the internet, control, robotics, and networking. This study describes the usage of a Robot Operating System (ROS) middleware to answer the challenges of the industrial revolution 4.0 for control the industrial electronic devices and household electronic equipment using Raspberry Pi. ROS has nodes, topics and messages that can be used to manage the Raspberry Pi GPIO pins to be active high (1) or active low (0). The result of this study is the system be able to control the on and off electronic devices through the GPIO pins of Raspberry Pi and relay module based on message commands from the ROS node. The electronic devices had controlled in this study are a fan, light, air conditioner, and room heater that have 110/220 AC voltage.

Motion Detection of Objects in Home Security Systems Using Binary-Image Comparison Method Based on Robot Operating System 2 and Raspberry Pi Jalil, Abdul; Matalangi, Matalangi
ILKOM Jurnal Ilmiah Vol 13, No 1 (2021)
Publisher : Teknik Informatika Fakultas Ilmu Komputer Univeristas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar

The purpose of this study to build a home security system based on object motion detection using Robot Operating System 2 (ROS2) and Raspberry Pi. ROS2 function in this study as a software that used to read and process the camera data then control the buzzer sound, while the Raspberry Pi hardware function to running the ROS2 on the top of Linux Ubuntu 18.04 operating system. Camera function to read the image and video data can be developing for input device to control the home security systems based on the object motion detection. The method has used to detect the object motion is Binary-Image Comparison (BIC), where this method worked by compare the value of the binary image object with the binary master to use it as a decision-making algorithm when the camera detecting the object movement based on object color. Object colors detected in this study are red, yellow, green, and blue. Each object colors are processes using OpenCV library in the ROS2 node service, after that all of the nodes will communicate through topics to communicating and exchanging the message data. This study result is the prototype has developed can give a buzzer sound warning to the user when the camera detecting the object motion based on the object's color.

DETEKSI GERAK OBJEK BERBASIS PENGOLAHAN CITRA MENGGUNAKAN METODE BINARY-IMAGE COMPARISON Matalangi Matalangi; Abdul Jalil
Electro Luceat Vol 6 No 1 (2020): Electro Luceat (JEC) - July 2020
Publisher : LPPM Poltek ST Paul

The purpose of this study is to build the object motion detection system based on the image processing technique used a Binary-Image Comparison (BIC) method. The function of the BIC method in this study is as a decision-maker to make the system be able to send the message data as a result of object motion detection. The object motion has detected in this study is the object with a colour of red, yellow, green and blue. In this study, the image processing segmentation has been processed using OpenCV library software and was executed in the Robot Operating System 2 (ROS2) nodes. Some of the ROS2 nodes have been used to build the object motion detection on this study, that is a node to read the RGB camera input, a node to detect the red object motion, a node to detect the yellow object motion, a node to detect the green object motion, a node to detect the blue object motion, and a node to receive the result of the motion detection object. Each node in this systems will be connected to each other through a topic to make them are able to exchange the image message data using the Data Distribution Service (DDS) protocol on the ROS2. The result from this study is the systems can be detected the object motion are red, yellow, green, and blue then sent it as a message data based on the resulting process from the BCI method.

SENSOR MULTI-MODAL UNTUK DETEKSI GERAK OBJEK PADA SISTEM KEAMANAN RUMAH BERBASIS KOMUNIKASI NODE ROBOT OPERATING SYSTEM I Wayan Suparno; Abdul Jalil
Electro Luceat Vol 7 No 1 (2021): Electro Luceat (JEC) - July 2021
Publisher : LPPM Poltek ST Paul

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32531/jelekn.v7i1.339

Tujuan penelitian ini adalah membangun sebuah modul sensor multi-modal yang dapat digunakan untuk mendeteksi gerak objek pada sistem keamanan rumah dengan memanfaatkan layanan sistem komunikasi antar node Robot Operating System (ROS). ROS merupakan framework atau middleware perangkat lunak robot yang dapat digunakan untuk mengintegrasikan beberapa modul sensor sehingga menjadi sebuah perangkat sensor multi-modal. Pada penelitian ini kami mengintegrasikan tiga buah sensor deteksi gerak objek yaitu sensor Passive Infrared Receiver (PIR), sensor jarak ultrasonic (PING), dan sensor Infrared (IR). Metode yang digunakan untuk mengintegrasikan sensor-sensor tersebut adalah dengan memanfaatkan sistem komunikasi antar node ROS menggunakan Arduino Uno dan Raspberry Pi, dimana fungsi Arduino adalah sebagai perangkat keras level bawah yang digunakan untuk membaca data sensor sedangkan Raspberry Pi berfungsi sebagai pusat pengolahan data sensor. Hasil dari penelitian ini adalah integrasi sensor deteksi gerak objek menjadi sebuah perangkat sensor multi-modal yang dapat digunakan untuk mendeteksi gerak objek secara kompleks, dimana kelebihan-kelebihan yang ada pada sensor PIR, sensor PING, dan sensor IR dipadukan menjadi satu kesatuan sehingga dapat digunakan untuk mendeteksi gerak objek pada sistem keamanan rumah.

IMPLEMENTASI SENSOR MULTI-MODAL MENGGUNAKAN RASPBERRY PI DAN ROBOT OPERATING SYSTEM PADA SISTEM KEAMANAN RUMAH I Wayan Suparno; Abdul Jalil
Electro Luceat Vol 7 No 2 (2021): Electro Luceat (JEC) - November 2021
Publisher : LPPM Poltek ST Paul

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32531/jelekn.v7i2.405

The purpose of this study to build a Sensor Multi-Modal (SMM) can be used for home security system using Raspberry Pi hardware and Robot Operating System (ROS) software. SMM is the combination of several types of sensors into one unit to becomes a new module sensor. Sensors used in this study are PIR sensor, PING sensor, DHT11 sensor, IR sensor, fire sensor, and camera. The method used to connect the sensors are based on the communication of ROS nodes that processes using Arduino Uno and Raspberry Pi. ROS is a robot control software can be used to control the hardware and devices for embedded system. The Arduino Uno function in this study is low-level hardware used to read the sensors data, then sent the data to the Raspberry Pi to process the sensor data using ROS software. This study result is the implementation of SMM for home security system where this device can give a warning in the form of a buzzer when this SMM detect the object motion and fire.

SISTEM KONTROL MESIN PENUKARAN UANG KERTAS RUPIAH BERBASIS PENGOLAHAN CITRA DAN RASPBERRY PI Abdul Jalil
ILKOM Jurnal Ilmiah Vol 10, No 2 (2018)
Publisher : Teknik Informatika Fakultas Ilmu Komputer Univeristas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v10i2.272.128-135

The research purpose is to build a machine control system for exchange nominal of rupiah's paper money from big nominal to small nominal based on image processing and Raspberry Pi. The method for money exchange is detecting the authenticity of money, nominal of money, and amount of money exchange. The money authenticity was detected by the invisible image and nominal of money was detected by money color. Technique for detection the authenticity and nominal of money are using image processing that is processed on the Raspberry Pi. The algorithm used for detecting the authenticity and nominal of money are using template color algorithm and for exchange amount of money using the greedy algorithm. The research result is system able to detect the authenticity and nominal of paper money IDR 100.000, IDR 50.000, and IDR 20.000 then exchange it with the small nominal of money in accordance with the user choice.

PEMANFAATAN MIDDLEWARE ROBOT OPERATING SYSTEM (ROS) DALAM MENJAWAB TANTANGAN REVOLUSI INDUSTRI 4.0 Abdul Jalil
ILKOM Jurnal Ilmiah Vol 11, No 1 (2019)
Publisher : Teknik Informatika Fakultas Ilmu Komputer Univeristas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v11i1.412.45-52

The industrial revolution 4.0 is the development of industrial based on the internet, control, robotics, and networking. This study describes the usage of a Robot Operating System (ROS) middleware to answer the challenges of the industrial revolution 4.0 for control the industrial electronic devices and household electronic equipment using Raspberry Pi. ROS has nodes, topics and messages that can be used to manage the Raspberry Pi GPIO pins to be active high (1) or active low (0). The result of this study is the system be able to control the on and off electronic devices through the GPIO pins of Raspberry Pi and relay module based on message commands from the ROS node. The electronic devices had controlled in this study are a fan, light, air conditioner, and room heater that have 110/220 AC voltage.

Title

Found 17 Documents
Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title Search

Found 17 Documents Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title

Found 17 Documents
Search