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<![CDATA[PENGENDALIAN PARABOLA BERGERAK MENGGUNAKAN MIKROKONTROLER ]]>
<![CDATA[Matalangi, Matalangi]]>
<![CDATA[ ILKOM Jurnal Ilmiah Vol 9, No 1 (2017) ]]>
Publisher : <![CDATA[Program Studi Teknik Informatika Fakultas Ilmu Komputer Univeristas Muslim Indonesia ]]>
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<![CDATA[Penelitian bertujuan merancang pengendalian parabola bergerak menggunakan Mikrokontroler, Aktuator sebagai penggerak untuk menggerakan parabola kearah timur dan kebarat dan switch sebagai titik tempu pada parabola sehingga dapat berbalik arah timur dan barat, program merumuskan untuk dapat menggerakkan parabola kearah barat dan timur hingga mendapatkan sinyal dan mencapai kemiringan dari 70 derajat ke barat hingga 120 derajat kearah timur.Hasil penelitian ini adalah perancangan dan pembuatan Pengendali Parabola Bergerak. Pengendalian parabola bergeraka ini terbuat dari bahan aluminium berbentuk lingkaran. Dengan ukuran Linkaran 170cm dan tinggi 150cm. Desain Pengendalian Parabola Bergerak ini terdiri dari 4 komponen utama, dimana komponen pertama sebagai Tiang penopang payung, komponen kedua digunakan sebagai penerima sinyal, komponen ketiga sebagai penerima yang menerima sinyal dari LNB, komponen yang keempat digunakan sebagai pengontrol dari parabola yang menggerakkan Payung parabola ke titik focus satelit yang di kendalikan dan control oleh mikrokontroler.]]>
<![CDATA[Sistem Pengaman Komputer Berbasis Mikrokontroler Pada Laboratorium STMIK Handayani ]]>
<![CDATA[', Matalangi]]>
<![CDATA[ JURNAL IT: Media Infromasi STMIK Handayani Makassar Vol 8 No 2 (2017): Volume 8 Nomor 2, Agustus 2017 IT JURNAL ]]>
Publisher : <![CDATA[LPPM- STMIK HANDAYANI MAKASSAR ]]>
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<![CDATA[Penelitian ini bertujuan untuk membuat sistem pengamanan komputer laboratorium berbasis mikrokontroler Atmega8535 yang menggunakan smart card. Metode yang digunakan berupa pembuatan pengamanan komputer Laboratorium berbasis mikrokontroler yang dapat menjaga komputer secara aman. Input alat ini menggunakan smart card, kemudian dideteksi oleh sensor infra merah. Sensor infra merah diproses melalui program yang ada dalam mikrokontroler ATmega8535, hasil dari proses mikrokontroler ATmega8535 dikirim ke motor DC yang dapat mengaktifkan komputer secara otomatis.
Hasil rancangan berupa pengaman yang dapat membuka dan menutup komputer secara otomatis. Ketika memasukan kartu dosen atau kartu mahasiswa ke pembaca kartu pada komputer, kemudian dibaca oleh sensor infra merah dan sensor infra merah akan mengirimkan data ke mikrokontroler untuk di proses. Setelah mikrokontroler memproses data dari sensor infra merah kemudian mikrokontroler mengirimkan data lagi ke driver motor dan menggerakkan motor DC. Maka komputer akan terbuka dan tertutup secara otomatis.]]>
<![CDATA[Motion Detection of Objects in Home Security Systems Using Binary-Image Comparison Method Based on Robot Operating System 2 and Raspberry Pi ]]>
<![CDATA[Jalil, Abdul]]>;
<![CDATA[Matalangi, Matalangi]]>
<![CDATA[ ILKOM Jurnal Ilmiah Vol 13, No 1 (2021) ]]>
Publisher : <![CDATA[Teknik Informatika Fakultas Ilmu Komputer Univeristas Muslim Indonesia ]]>
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<![CDATA[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.]]>
<![CDATA[DETEKSI GERAK OBJEK BERBASIS PENGOLAHAN CITRA MENGGUNAKAN METODE BINARY-IMAGE COMPARISON ]]>
<![CDATA[Matalangi Matalangi]]>;
<![CDATA[Abdul Jalil]]>
<![CDATA[ Electro Luceat Vol 6 No 1 (2020): Electro Luceat (JEC) - July 2020 ]]>
Publisher : <![CDATA[LPPM Poltek ST Paul ]]>
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DOI: 10.32531/jelekn.v6i1.207
<![CDATA[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.]]>
<![CDATA[PERANCANGAN PARABOLA BERGERAK MENGGUNAKAN MIKROKONTROLER ATMEGA8535 ]]>
<![CDATA[Matalangi Matalangi]]>;
<![CDATA[Guntur Guntur]]>
<![CDATA[ E-JURNAL JUSITI : Jurnal Sistem Informasi dan Teknologi Informasi Vol 7 No 1 (2018): e-jurnal JUSITI ]]>
Publisher : <![CDATA[Universitas Dipa Makassar ]]>
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<![CDATA[Penelitian ini bertujuan merancang pengendalian parabola bergerak menggunakan Mikrokontroler, Aktuator sebagai penggerak untuk menggerakan parabola kearah timur dan kebarat dan switch sebagai titik tempu pada parabola sehingga dapat berbalik arah timur dan barat, program merumuskan untuk dapat menggerakkan parabola kearah barat dan timur hingga mendapatkan sinyal dan mencapai kemiringan dari 70 derajat ke barat hingga 120 derajat kearah timur. Metode yang digunakan dalam penelitian ini adalah metode eksperimetaal yaitu dengan melakukan perancangan, pembuatan dan pengujian model sistem. Hasil dari penelitian ini adalah perancangan dan pembuatan Pengendali Parabola Bergerak yang digunakan untuk mengarakan parabola kearah satelit yang diinginkan. Pengendaliaan parabola bergerak bekerja berdasarkan input yang diberikan sehingga mendapat titik focus dari satelit melalui lintasan katulistiwa. Pengendalian parabola bergeraka ini terbuat dari bahan aluminium berbentuk lingkaran. Dengan ukuran Linkaran 170cm dan tinggi 150cm. Desain Pengendalian Parabola Bergerak ini terdiri dari 4 komponen utama, dimana komponen pertama sebagai Tiang penopang payung, komponen kedua digunakan sebagai penerima sinyal, komponen ketiga sebagai penerima yang menerima sinyal dari LNB, komponen yang keempat digunakan sebagai pengontrol dari parabola yang menggerakkan Payung parabola ke titik focus satelit yang di kendalikan dan control oleh mikrokontroler]]>
<![CDATA[PENGENDALIAN PARABOLA BERGERAK MENGGUNAKAN MIKROKONTROLER ]]>
<![CDATA[Matalangi Matalangi]]>
<![CDATA[ ILKOM Jurnal Ilmiah Vol 9, No 1 (2017) ]]>
Publisher : <![CDATA[Teknik Informatika Fakultas Ilmu Komputer Univeristas Muslim Indonesia ]]>
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DOI: 10.33096/ilkom.v9i1.113.78-85
<![CDATA[Penelitian bertujuan merancang pengendalian parabola bergerak menggunakan Mikrokontroler, Aktuator sebagai penggerak untuk menggerakan parabola kearah timur dan kebarat dan switch sebagai titik tempu pada parabola sehingga dapat berbalik arah timur dan barat, program merumuskan untuk dapat menggerakkan parabola kearah barat dan timur hingga mendapatkan sinyal dan mencapai kemiringan dari 70 derajat ke barat hingga 120 derajat kearah timur.Hasil penelitian ini adalah perancangan dan pembuatan Pengendali Parabola Bergerak. Pengendalian parabola bergeraka ini terbuat dari bahan aluminium berbentuk lingkaran. Dengan ukuran Linkaran 170cm dan tinggi 150cm. Desain Pengendalian Parabola Bergerak ini terdiri dari 4 komponen utama, dimana komponen pertama sebagai Tiang penopang payung, komponen kedua digunakan sebagai penerima sinyal, komponen ketiga sebagai penerima yang menerima sinyal dari LNB, komponen yang keempat digunakan sebagai pengontrol dari parabola yang menggerakkan Payung parabola ke titik focus satelit yang di kendalikan dan control oleh mikrokontroler.]]>
<![CDATA[Object motion detection in home security system using the binary-image comparison method based on robot operating system 2 and Raspberry Pi ]]>
<![CDATA[Abdul Jalil]]>;
<![CDATA[Matalangi Matalangi]]>
<![CDATA[ ILKOM Jurnal Ilmiah Vol 13, No 1 (2021) ]]>
Publisher : <![CDATA[Teknik Informatika Fakultas Ilmu Komputer Univeristas Muslim Indonesia ]]>
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DOI: 10.33096/ilkom.v13i1.686.1-8
<![CDATA[This study aims is to build a home security system based on object motion detection using the Robot Operating System 2 (ROS2) and the Raspberry Pi. ROS2 in this study was used to read and process the camera data and to control the buzzer sound. At the same time, the Raspberry Pi hardware functioned to run ROS2 using the Linux Ubuntu 18.04 operating system. The camera function to read the image and video data could be developed for the input device to control the home security systems based on object motion detection. The method used to detect an object motion was Binary-Image Comparison (BIC). This method works by comparing the value of the binary image object with the binary master and using it as a decision-making algorithm when the camera detected the object movement based on the object colors. The object colors that were detected in this study were red, yellow, green, and blue. Each object color was processed using the OpenCV library in the ROS2 node service. After that, all of the nodes communicated through topics to communicating and exchanging the message data. This study has successfully developed a prototype that can generate a buzzer sound warning to the user when the camera detected the object motion based on the object color.]]>
<![CDATA[Kit iTCLab Application as a Learning Tool for the Internet of Things ]]>
<![CDATA[Maulana, Asrul]]>;
<![CDATA[Rahmat, Basuki]]>;
<![CDATA[Matalangi, Matalangi]]>
<![CDATA[ Sistemasi: Jurnal Sistem Informasi Vol 14, No 2 (2025): Sistemasi: Jurnal Sistem Informasi ]]>
Publisher : <![CDATA[Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer ]]>
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DOI: 10.32520/stmsi.v14i2.5046
<![CDATA[The rapid advancement of the Internet of Things (IoT) has created opportunities for transformative innovations in various technology-based learning sectors, particularly through Smart Kits. This study aims to develop and implement the Internet-Based Temperature Control Lab (iTCLab) Kit as an interactive learning tool for IoT. The iTCLab application is designed to enable users to monitor and control temperature in real-time via an internet-based platform. The system utilizes temperature sensors, heating actuators, an ESP32 microcontroller, and an internet connection. Testing was conducted through the Microcontroller course in the Informatics Study Program. The results indicate that the iTCLab Kit significantly enhances students' understanding and mastery of practical IoT programming. Thus, the iTCLab Kit serves as an innovative solution to support more effective and efficient IoT learning.]]>
<![CDATA[Implementation of Eye-To-Text Morse Code Device to Help Speech Impairments People ]]>
<![CDATA[Wahyuningsih, Pujianti]]>;
<![CDATA[Matalangi, Matalangi]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 21, No 1 (2025) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v21i1.41268
<![CDATA[This research aims to develop an Eye-to-Text Morse Code (ETT-MC) device as an assistive communication tool for individuals with speech disabilities, based on artificial intelligence image processing. The method used to detect speech codes is based on eye blink input, which is converted into Morse code and then translated into letters by utilizing a thresholding image processing technique that compares the pixel values when the eyes are open and closed. In Morse code, there are two main symbols combined to form a letter: the dash and the dot. The object of this research is the eye, where if the system detects the eye in an open state, it is converted into a dot code or value 1, while when the system detects the eye as closed, it is converted into a dash code or value 0. The results and hypotheses of this research show that the developed ETT-MC device can assist individuals with speech disabilities in communicating by utilizing eye blinks as an input medium to convey messages to others with an accuracy rate of up to 80%. This occurs because the accuracy of eye image detection processed by the system is significantly influenced by light intensity, the quality of the image detected by the camera, and the length of the translated text.]]>
<![CDATA[Anomaly Detection for Security in Children's Play Areas Based on Image Using Multiple Lines Detection Method ]]>
<![CDATA[Wahyuningsih, Pujianti]]>;
<![CDATA[Matalangi, Matalangi]]>;
<![CDATA[Fadhil Sukiman, Muhammad Nur]]>;
<![CDATA[Mahenra, Yusril]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 20, No 1 (2024) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v20i1.34836
<![CDATA[This study aims to build a device as a security system to detect anomalies of children moving in play areas based on the Multiple Line Detection (MLD) method in a streaming image. We developed this device to help parents monitor their children's activities when playing in dangerous areas of the home to protect children from kidnapping. In this study, the MLD method can detect the children's activities when playing in three zones: the safe zone with green lines in the image, the caution zone with yellow lines, and the danger zone with red lines. The hardware used to build the devices in this study consists of three components: a camera to stream the image activities of children, a Raspberry Pi to process the image using OpenCV, and a buzzer for early security systems. The results of this study show that when the device detected the children playing in the safe zone, the system commanded the buzzer to turn off. Furthermore, when the camera detects that the children are playing in the caution and danger zone, the device then commands the buzzer to turn on as an early warning security system for the parents.]]>
