. Roslidar
Electrical Engineering Department, Syiah Kuala University

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Ordinal Measure of Discrete Cosine Transform Coefficients and its Application to Fingerprint Matching Fitri Arnia; Hendra Hidayat; Roslidar Roslidar; Khairul Munadi
International Journal of Electrical and Computer Engineering (IJECE) Vol 3, No 6: December 2013
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (885.306 KB)

Abstract

Recently, the identification system is not limited in using an ID and personal identification number (PIN) but also in using biometriccharacteristics.One of biometric characteristics that has been widely used is fingerprint.This paper proposes a fingerprint matching algorithms using ordinal measure of DCT coefficient. The ordinal measure of DCT coefficient is generated from DCT blocks with size 8x8 pixels. Matching level was determined by computing the Minkowski distance between features of input fingerprint image and fingerprint images in the database. The simulations were accomplished using 128 fingerprints that have been normalized, from which as many as 1024 genuine attempts and 15360 impostor attempts were generated. The proposed algorithms achievedan Equal Error Rate (EER) at threshold 0.3. At the EER, it resulted in FAR value of 0.82%, and FRR value of 78.41% respectively.The low value of FAR showed that the system wasconsiderably secure.DOI:http://dx.doi.org/10.11591/ijece.v3i6.4373
The Development of Online Disaster Information System Using Location Based Service (LBS) Technology Nasaruddin Syafie; Yudha Nurdin; Roslidar Roslidar
International Journal of Informatics and Communication Technology (IJ-ICT) Vol 3, No 1: April 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1068.716 KB) | DOI: 10.11591/ijict.v3i1.pp47-58

Abstract

Indonesia is geographically located in the disaster vulnerable area and frequently hit by various disasters such as earthquake, flood, etc. So that Indonesian people aware that the disaster information system is very important. Thus, the development of information and communication technology application is needed for disaster management. For this purpose, this paper proposes on the development of online disaster information system based on location based service (LBS) technology by using short message service (SMS) gateway and global positioning system (GPS). Then,the web-based prototype of online disaster information system is designed and developed as the media to provide information of location and situation of the disaster area. Furthermore, a user interface is also designed and developed to transmit input data as the location information using manual SMS and automatically using smartphone based on SMS/GPS. The research method used in this research is a spiral method that begins with conceptual design, prototype development, application test, and evaluation. The results of this research are the web-based information system and the implemented user interface application (we called ASIKonLBS) for Android based smartphone. The online mapping of input data from smartphone to the web-based system has been tested. It shows that the disaster location information can be mapped to Google Maps timely and accurately that can be accessed using the Internet connection. The evaluation to mapping delay time shows that it is lower than the refresh time of the web-based system. Therefore, the proposed online system can be categorized as a real-time system.
The Design of Capacitive Slit on Improving the Antenna Gain of Binomial Double Strip Hexacula Omnidirectional Broadband Antenna Syahrial Syahrial; Safwan Safwan; Rizal Munadi; Roslidar Roslidar
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 16, No 5: October 2018
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v16i5.8669

Abstract

The capacitive slit is a method of making the impedance value to be resistive. To achieve this goal is a challenge in addition to the slit antenna and gives impact to gain as one of the important parameters in antenna design. The antenna gain in a particular direction is defined as 4π times the ratio of radiation intensity in that direction to the power received by the transmitter antenna. In this research, the proposed capacitive slit method was tested on the hexacula omnidirectional broadband antenna operating on frequency 0.85-3 GHz and gain 4.8 dBi. The testing was conducted to obtain the gain improvement of the hexacula omnidirectional broadband antenna. The placement of the capacitive slit was implemented on double strip antenna with 4 times experiments. The best experiment result was obtained when three capacitive slits were placed on different strips. The capacitive slit was designed by analyzing the average value of input impedance before calculating the dimension of the capacitive slit that applied to the antenna. The experiment result shows that the best value of antenna gain is 7.19 dBi. The gain increment is linear to the number of capacitive slits applied to the antenna.
Design of prototype for online disaster multimedia data transmission based on Android . ROSLIDAR; YUDHA NURDIN; . NASARUDDIN
Proceedings of The Annual International Conference, Syiah Kuala University - Life Sciences & Engineering Chapter Vol 4, No 1 (2014): Engineering
Publisher : Syiah Kuala University

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Abstract

The development of information and communication technology application is growing rapidly. It has motivated the use of mobile devices for various social networking mobile services such as android based multimedia disaster information transmission. Disaster multimedia information is important for quick response and recovery phases of the disaster management. In previous work, an online disaster information system based on location (we called it ASIKonLBS) has been proposed. However, it was only providing the coordinate information of the disaster location by using short message service (SMS) gateway and global positioning system (GPS). In this paper, we propose the design of prototype for online disaster multimedia data transmission based on android. Such that, the ASIKonLBSv2 can provide not only the information of the location, but also the situation of the disaster area including news, picture, and video. The research method refers to a spiral model that begins with conceptual design, prototype development and evaluation. The result shows that the designed prototype can be implemented for online disaster multimedia data transmission (news, photo and video) using Android Developer Tools. Furthermore, the prototype can be installed in the android-based smartphone and map the disaster multimedia data onto the web of ASIKonLBS. Therefore, the proposed prototype is useful for the disaster agencies and practitioners in order to give the first aid for the victim in the disaster area
RANCANG BANGUN PENGEMBANGAN PINTU OTOMATIS PENDETEKSI MASKER DAN SUHU TUBUH MENGGUNAKAN RASPBERRY PI 4 Teuku Radhi Muhammad Fitrah; Yudha Nurdin; Roslidar Roslidar
Jurnal Komputer, Informasi Teknologi, dan Elektro Vol 6, No 2 (2021)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/kitektro.v6i2.21428

Abstract

Pada masa pandemi COVID-19 saat ini, pemerintah memberlakukan peraturan yaitu ketika akan masuk ke dalam ruangan (khususnya gedung publik) diharuskan mematuhi protokol kesehatan berupa menggunakan masker dan dilakukan pengukuran suhu tubuh. Namun banyak dari masyarakat yang tidak mematuhi peraturan tersebut sehingga apabila memasuki suatu ruangan yang berisi banyak orang dan tanpa  protokol kesehatan akan berpotensi terpapar virus COVID-19. Salah satu solusi untuk mengimplementasikan protokol kesehatan tersebut adalah dengan menggunakan pintu otomatis yang dapat terbuka dengan sendirinya apabila seseorang memakai masker dan suhu tubuhnya kurang dari 38 ̊ C. Pada penelitian ini akan dibuat sebuah prototipe pintu yang mendeteksi penggunaan masker dan suhu tubuh dengan kamera dan sensor suhu tubuh. Penelitian ini menggunakan metode deep learning untuk mendeteksi masker dan pengukuran sensor suhu tubuh untuk mendeteksi suhu tubuh serta sebagai pemrosesan sensor, aktuator dan komponen lainnya digunakan raspberry pi 4. Hasil dari penelitian ini berupa prototipe pintu otomatis yang akan bekerja saat user berada pada posisi ≤ 6 cm, Adapun kondisi yang harus terpenuhi agar pintu terbuka adalah user memakai masker dan suhu tubuh 38 ̊ C maka pintu terbuka, user memakai masker dan suhu tubuh ≥ 38 ̊ C maka buzzer berbunyi dan pintu tidak terbuka, user tidak memakai masker dan suhu tubuh 38 ̊ C maka buzzer berbunyi dan pintu tidak terbuka, user tidak memakai masker dan suhu tubuh ≥ 38 ̊ C maka buzzer berbunyi dan pintu tidak akan terbuka. Adapun hasil akurasi deteksi masker tertinggi yaitu pada masker kn95 dengan akurasi 99.95 % dan pendeteksian suhu akurat pada jarak 2 cm yang menghasilkan galat 0.05%. Dengan demikian prototipe pintu otomatis telah diuji dan berjalan dengan baik mengikuti kondisi yang ditentukan.
SISTEM PENGONTROLAN SUHU DAN KELEMBAPAN PADA ALAT PENGERING BUAH PINANG MENGGUNAKAN PENGENDALI LOGIKA FUZZY T. M. Rizki Aldiza; Alfatirta Mufti; Roslidar Roslidar
Jurnal Komputer, Informasi Teknologi, dan Elektro Vol 6, No 3 (2021)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/kitektro.v0i0.22225

Abstract

Pinang merupakan jenis tanaman yang banyak dimanfaatkan oleh masyarakat Indonesia terkhusus untuk kebutuhan budaya dan kesehatan. Pinang sendiri umumnya dimanfaatkan dalam keadaan kering sehingga para petani pinang akan melakukan pengeringan terhadap buah pinang agar lebih mudah dijual. Namun, metode pengeringan yang digunakan masih bersifat tradisional dengan memanfaatkan panas dari sinar matahari, sehingga akan menghabiskan waktu setidaknya 7 hari. Pada penelitian ini dilakukan peningkatan performa pada alat pengering buah pinang dengan memanfaatkan sistem logika fuzzy. Alat pengering buah pinang didesain menggunakan panas cahaya lampu pijar sebagai pemanas yang diatur pada temperatur 45oC dan mempertahankan kelembapan dibawah 50%. Waktu yang dibutuhkan agar suhu wadah mencapai 45oC adalah 486 detik dan untuk waktu agar kelembapan berada dibawah 50% yaitu 372 detik. Rise time yang didapatkan pada sistem yaitu 272 detik dengan persentase overshoot 0% dan tingkat steady state error ± 0,2oC. Waktu yang dibutuhkan selama proses pengeringan buah pinang untuk menurunkan kadar air buah pinang dari 27% menuju 6,5% yaitu 10 jam 23 menit. Sehingga, jika dibandingkan dengan pengeringan menggunakan metode tradisional yang membutuhkan waktu setidaknya 7 hari, pengeringan buah pinang dengan sistem logika fuzzy lebih efisien dari segi waktu serta kualitas buah pinang yang dihasilkan tetap terjaga dalam keadaan kering sempurna.
Rancang Bangun Alat Pengukur Jarak Tempuh Lari Laun Menggunakan Sensor Inertial Measurement Unit (IMU) Berbasis Mikrokontroler Yunidar Yunidar; Yazid Yaskur; Roslidar Roslidar; Mohd. Syaryadhi
Jurnal Rekayasa Elektrika Vol 18, No 1 (2022)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1742.758 KB) | DOI: 10.17529/jre.v18i1.22973

Abstract

Jogging is a form of trotting or running at a slow or leisurely pace. So far, the measurement of running distance is determined by wearables Global Positioning System (GPS) and pedometers. The use of wearables with GPS commonly used by joggers cannot be used in indoor conditions. In addition, the use of a pedometer for measuring the number of steps cannot calculate the specific distance due to the inconsistency of human footsteps. This study aims to design a device to measure the distance traveled in jogging. To measure the distance traveled in a run, an Inertial Measurement Unit (IMU) sensor can be used with a linear acceleration output then reduce the measurement noise by using a Kalman Filter. The acceleration signal is processed into a velocity signal and the velocity signal is processed into a distance signal through integration. From the results of the prototype design, it is able to measure a distance of 25m with an error of 0.78%, a distance of 50m with 0.53% and a distance of 75m with 0.22%.   
Perancangan Robot Light Follower untuk Kursi Otomatis dengan Menggunakan Mikrokontroler ATmega 328P Roslidar Roslidar; Alfatirta Mufti; Haris Akbarsyah
Jurnal Rekayasa Elektrika Vol 13, No 2 (2017)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1117.813 KB) | DOI: 10.17529/jre.v13i2.8093

Abstract

This article discusses the design of light follower chair prototype with speed adjustment of DC motor according to light intensity using microcontroller ATmega328p. This prototype provides a solution for a chair to be back on the position under the table automatically by using a light follower robot principle. There are many possible positions of a chair after being used: perpendicular or sideways to the table. As the positions after being used are varied, the light is used to direct the chair toward under the table since the light can reach the area around the chair except for the back area. This prototype functions well if the chair is heading to the table and is not designed to function in the backward position. LDR (Light Dependent Resistor) sensors are used to detect the light. As the source of light, 1 W high power LED is put under the table. A microcontroller ATmega328p is used to execute the input and output of this system. Two DC motor are used as actuators to control the movement of the chair toward the light under the table. Ultrasonic sensors HC-SR04 are used to measure the distance between the table and the chair so that the chair can stop at the desired position.
Adaptasi Model CNN Terlatih pada Aplikasi Bergerak untuk Klasifikasi Citra Termal Payudara Roslidar Roslidar; Muhammad Rizky Syahputra; Rusdha Muharar; Fitri Arnia
Jurnal Rekayasa Elektrika Vol 18, No 3 (2022)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (978.915 KB) | DOI: 10.17529/jre.v18i3.8754

Abstract

The model development for breast thermal image classification can be done using deep learning methods, especially the convolutional neural network (CNN) architecture. This article focuses on adapting a trained CNN (trained model) on a mobile application for binary classification of breast thermal images into normal and abnormal classes. The CNN model applied in this study was based on ShuffleNet, called BreaCNet, with a learning weight of 1028 filters generated from training on images downloaded from the Database for Mastology Research (DMR) and a model size of 22 MB. The model must be converted into a mobile application to enable a trained model to be adapted into a mobile platform. The BreaCNet model was built using MatLab; thus, the stages in the adaptation process consisted of converting the model into ONNX file format, converting ONNX files into Tensorflow files, and Tensorflow files into Tensorflow Lite format. However, not all nodes are fully supported by MATLAB. The shuffle node on ShuffleNet cannot be fully exported using ExportToOnnx, so it needs to be re-defined with a placeholder named “MATLAB PLACEHOLDER”. In addition to the model conversion process, this article describes the user interaction process with the application using UML diagrams and application feature menu designs. The application was also tested on 20 thermal images of the breast. The testing results show that the application can perform the image classification process on mobile devices in less than 1 second with an accuracy rate of 85%. Finally, the breast thermal image screening application has been successfully built by directly interpreting the thermal image of the breast on a mobile device to keep the user data private.
Rancang Bangun Alat Pengukur Jarak Tempuh Lari Laun Menggunakan Sensor Inertial Measurement Unit (IMU) Berbasis Mikrokontroler Yunidar Yunidar; Yazid Yaskur; Roslidar Roslidar; Mohd. Syaryadhi
Jurnal Rekayasa Elektrika Vol 18, No 1 (2022)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17529/jre.v18i1.22973

Abstract

Jogging is a form of trotting or running at a slow or leisurely pace. So far, the measurement of running distance is determined by wearables Global Positioning System (GPS) and pedometers. The use of wearables with GPS commonly used by joggers cannot be used in indoor conditions. In addition, the use of a pedometer for measuring the number of steps cannot calculate the specific distance due to the inconsistency of human footsteps. This study aims to design a device to measure the distance traveled in jogging. To measure the distance traveled in a run, an Inertial Measurement Unit (IMU) sensor can be used with a linear acceleration output then reduce the measurement noise by using a Kalman Filter. The acceleration signal is processed into a velocity signal and the velocity signal is processed into a distance signal through integration. From the results of the prototype design, it is able to measure a distance of 25m with an error of 0.78%, a distance of 50m with 0.53% and a distance of 75m with 0.22%.