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All Journal Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Jurnal Ilmiah Kursor JURNAL INTEGRASI Jurnal Elementer (Elektro dan Mesin Terapan) INOVTEK Polbeng - Seri Informatika Technologia: Jurnal Ilmiah Journal of Applied Electrical Engineering Jurnal Nasional Teknik Elektro dan Teknologi Informasi Proceeding Applied Business and Engineering Conference
Iman Fahruzi
Politeknik Negeri Batam
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Journal : JURNAL INTEGRASI

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Sistem Pengaman Motor Menggunakan Smartcard Politeknik Negeri Batam Efrianto Efrianto; Ridwan Ridwan; Iman Fahruzi
JURNAL INTEGRASI Vol 8 No 1 (2016): Jurnal Integrasi - April 2016
Publisher : Politeknik Negeri Batam

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Abstract

Pada saat ini pencurian kendaraan beroda semakin meningkat setiap tahunnya. dapat dilihat pada kendaraan yang sangat minim ataupun kurangnya keamanan sehingga pencurianpun dapat terjadi dengan mudahnya baik di pedesaan maupun di tengah keramaian kota. Hanya bermodalan dengan tang pemotong saja, motor dapat dengan mudahnya dibawa kabur oleh seseorang. Keamanan yang paling standard dari sebuah pabrik industri pada kendaraan beroda dua hanyalah pengunci stang dan juga untuk lebih meningkatkan kendaraan, sering pengendara menggunakan gembok kecil untuk menggembok kendaraannya. Namun hal ini tidaklah efisien, karena sering sekali pengendara lupa untuk melakukan nya dikarenakan beberapa faktor. Sedangkan terkadang beberapa pencuri pada saat beraksi mematahkan stang yang telah dikunci tersebut dengan cara memaksanya atau pun menggunakan alat seperti besi panjang ataupun linggis. Dengan menggunakan sistem pengaman smartcard ini keamanan dapat lebih dimaksimalkan dengan adanya alarm juga pada sistem ini.
Rancang Bangun Sistem Biometrik Pengenalan Wajah Menggunakan Principal Component Analysis Nicco Nicco; Iman Fahruzi
JURNAL INTEGRASI Vol 7 No 2 (2015): Jurnal Integrasi - Oktober 2015
Publisher : Politeknik Negeri Batam

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Biometric security system can recognize its user more precisely than password-based security systems. The biometrics have characteristics like not easily lost, can’t be forgotten, and not easily counterfeited because its existence inherent in human beings. There are several different types of security by using biometric technologies including fingerprint recognition, eye retina, and facial structure. In this study, the authors have developed a face recognition into real-time security system for the entrance. This research uses a webcam to capture the image of the user’s face and then compared with the face that stored in the database. Generally, there are two methods used by the author which is HaarCascade method for face detection and PCA or Eigenface method for face recognition. Experiments were done using 150 training data and 150 test data. In this system, 30 cm were used as parameters of distance to measure the accuracy. The results showed overall recognition success rate of 83.33%. This system is designed to work in real-time with the hope to make it easier for the user and can minimize criminal act in the future.
Rancang Bangun Sistem Biometrik Pengenalan Wajah Menggunakan Principal Component Analysis Nicco Nicco; Iman Fahruzi
JURNAL INTEGRASI Vol 6 No 1 (2014): Jurnal Integrasi - April 2014
Publisher : Politeknik Negeri Batam

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Abstract

Biometric security system can recognize its user more precisely than password-based security systems. The biometrics have characteristics like not easily lost, can’t be forgotten, and not easily counterfeited because its existence inherent in human beings. There are several different types of security by using biometric technologies including fingerprint recognition, eye retina, and facial structure. In this study, the authors have developed a face recognition into real-time security system for the entrance. This research uses a webcam to capture the image of the user’s face and then compared with the face that stored in the database. Generally, there are two methods used by the author which is HaarCascade method for face detection and PCA or Eigenface method for face recognition. Experiments were done using 150 training data and 150 test data. In this system, 30 cm were used as parameters of distance to measure the accuracy. The results showed overall recognition success rate of 83.33%. This system is designed to work in real-time with the hope to make it easier for the user and can minimize criminal act in the future.
Mengurangi Pengaruh Noise Baseline Wander pada Sinyal Electrocardiogram(ECG) Iman Fahruzi
JURNAL INTEGRASI Vol 5 No 1 (2013): Jurnal Integrasi - April 2013
Publisher : Politeknik Negeri Batam

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ECG signal is one of the main tools used to make the diagnosis of heart abnormalities and can also be used to determine the steps recovery before a more serious medical treatment. Description and feature extraction just before taking a decision to be the most important in diagnosing patients' heart health. The main steps in the analysis of the ECG signal is to eliminate or reduce the noise from ECG signals using a variety of filtering techniques, detection of cardiac cycle by detecting QRS complex signal, the detection of the main characteristics of the signal to be analyzed and ultimately determine the formula of the characteristic features that have been obtained in the previous section. In this study, the authors will examine the ECG signal by eliminating or reducing noise on the signal ECG wave pattern up and down making it very difficult for the detection and extraction of ECG signals. The current results of testing showed that the ECG signal which initially did not constantly be on the line isolines become ECG signal consistently isolines are on the line so that this condition makes subsequent processing to diagnose cardiac abnormalities in a timely and accurate.
Deteksi Kelainan Jantung Premature Atrial Contractions (PACS) Berbasis Kombinasi Baseline Wander dan Denoising Menggunakan PR Interval Iman Fahruzi
JURNAL INTEGRASI Vol 4 No 2 (2012): Jurnal Integrasi - Oktober 2012
Publisher : Politeknik Negeri Batam

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Abstract

Biomedical signals such as heart signals periodically always changing frequencies over time, causing a wave of complexity and heterogeneity. Electrocardiogram (ECG), which is a picture of the heart's electrical potential activity is one of the medical tools that are widely used to make the diagnosis of heart abnormalities. In this study developed an algorithm to detect cardiac abnormalities premature based on the characteristics of ECG signal form the subject of study heart defect Atrial premature contractions (PACs). Testing is done using some data from the MIT-BIH Arrhythmia Database representing some heart abnormalities PACs. The level of accuracy when testing for R peak detection of 99.30% . While the accuracy of detection of heart abnormalities PACs when testing is 93.74%.
Kotak Surat Pintar Berbasis Mikrokontroler ATMEGA8535 Parulian Sepriadi; Agus Wahyudi; Iman Fahruzi; Siti Aisyah
JURNAL INTEGRASI Vol 2 No 2 (2010): Jurnal Integrasi Edisi Khusus (Seminar Nasional) - Juli 2010
Publisher : Politeknik Negeri Batam

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Abstract

Makalah ini disarikan dari hasil pengerjaan sebuah praktikum Tugas Akhir Diploma Tiga yang bertema Kotak Surat Pintar Berbasis Mikrokontroler Atmega8535. Kotak surat ini dibuat dengan tujuan mempermudah pegawai kantor pos dalam memonitor isi kotak surat. Dengan dilengkapi komunikasi jarak jauh maka kotak surat ini sangat tepat diperuntukkan bagi daerah terpencil. Dalam pengaplikasiannya, alat ini membutuhkan satu PC dan satu LCD untuk memonitor jumlah isi kotak surat. Kotak Surat pintar ini menggunakan mikrokontroler ATMEGA8535 sebagai pengolah data dan juga dilengkapi dengan transmitter radio RF XETX01A dan receiver radio RF FS1000A sebagai komunikasi untuk pengiriman dan penerimaan data jarak jauh.
Sistem Pengaman Loker Menggunakan Smart Card PN532 RFID/NFC Faizal Rozy; Iman Fahruzi
JURNAL INTEGRASI Vol 14 No 2 (2022): Jurnal Integrasi - Oktober 2022
Publisher : Pusat Penelitian dan Pengabdian Masyarakat Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/ji.v14i2.4503

Abstract

Loker adalah sebuah tempat yang digunakan untuk menyimpan barang keperluan pribadi atau barang berharga. Loker biasanya ditempat pada fasilitas umum yang membutuhkan ruang untuk menyimpan barang seperti pakaian, sepatu, helm dan benda lainnya dengan beragam ukuran. Penggunaan loker yang tinggi dan sangat dibutuhkan merupakan layanan jasa yang sangat menjanjikan terutama jika disediakan di area publik dengan intensitas pergerakan barang dan orang yang terbatas, seperti sekolah atau kampus, bandara, rumah sakit, pusat kebugaran, bioskop, tempat olahraga dan lain sebagainya. Saat ini, loker berbagai ukuran dan fitur sudah banyak disediakan, berbayar atau gratis, kunci manual atau kunci otomatis. Pada penelitian ini, rancangan pengaman loker memungkinkan pengguna menggunakan smart card berteknologi frekuensi radio untuk mengakses buka dan tutup pintu loker. Skema identifikasi meggunakan RFID terdiri dari smart card sebagai masukan bagi RFID reader, mikrokontroler Arduino sebagai unit pengolah data, dan LCD dan Seven Segment sebagai unit keluaran untuk menginformasi kepada pengguna seperti indikasi loker penuh atau tidak, nomor loker, ID dan informasi posisi pintu terbuka dan tertutup. Pengujian dilakukan menggunakan kartu mahasiswa atau KTM sebagai smart card untuk mengakses loker. Hasil pengujian menunjukkan, sistem pengaman loker dengan smart card mampu melakukan buka dan tutup pintu loker dengan baik.
Pengujian Komunikasi Perangkat Lora untuk Pengiriman Data Detak Jantung Menggunakan Topologi Point to Point Berbasis LoraWAN Fahruzi, Iman; Timanta, Febrian Harlim; Panjaitan, Junaedi Satrio; Ferdinan, Wisnu; Marpaung, John Purba; Silalahi, Laurent; Ricardo, Riki; Oktani, Dessy; Wikanta, Prasaja
JURNAL INTEGRASI Vol. 15 No. 2 (2023): Jurnal Integrasi - Oktober 2023
Publisher : Pusat Penelitian dan Pengabdian Masyarakat Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/ji.v15i2.6296

Abstract

Penelitian ini merupakan implementasi protokol LoraWan untuk mengirimkan data sensor berupa rekaman detak jantung secara point to point. Memanfaatkan keunggulan jaringan LoraWAN, data yang dikirim memiliki jangkauan yang jauh dan berdaya rendah sehingga bisa digunakan untuk sistem telemedis pada daerah yang secara geografis sulit dijangkau untuk akses fasilitas kesehatan. Data rekaman detak jantung yang didapat dari setiap sensor yang terkoneksi dan terintegrasi dengan sistem telemedis akan melakukan pengiriman secara periodik. Selanjutnya data yang diterima diteruskan kepada server melalui LoraWAN Gateway. Sistem telemedis ini terdiri dari sensor EKG, arduino dengan jaringan lora, satu LoraWAN Gateway dan server yang terintegrasi dengan pusat data berbasis web dan aplikasi android. Hasil Pengujian menunjukkan konektivitas antara tiga titik sensor dari beberapa lokasi mampu mengirimkan data sensor dengan baik dengan jarak terbatas kurang dari satu kilometer.
Project Based Learning: Sistem Otentifikasi melalui Deteksi Wajah untuk Akses Pintu Otomatis Berbasis Raspberry Pi Alifiansyah, Irfan; Akmal, Muhamad Raihan; Febrianto, Wahyu; Dwijotomo, Abdurahman; Fahruzi, Iman
JURNAL INTEGRASI Vol. 16 No. 2 (2024): Jurnal Integrasi - Oktober 2024
Publisher : Pusat Penelitian dan Pengabdian Masyarakat Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/ji.v16i2.7646

Abstract

Security concerns are of utmost importance in our daily lives. Conventional door locking systems that rely on physical keys possess vulnerabilities in terms of security. Physical keys are susceptible to tampering, theft, and effortless replication. Hence, it is imperative to devise a novel approach that may effectively mitigate this issue. An example of technological use for alternative locks involves utilizing face recognition techniques to grant or deny access to doors depending on the data associated with the individual seeking entry. The primary objective of this study is to create a facial identification approach by employing machine learning techniques, namely the histogram of oriented gradients (HOG) method in conjunction with a linear Support Vector Machine (SVM). This technique is designed to be easily implemented on a Raspberry Pi 4-based Single Board Computer (SBC) that features a video sensor for machine learning input and a doorlock solenoid output. Initially, it is important to train the machine learning algorithm to accurately identify and distinguish the individual who is granted access to the door. The facial data is obtained through the capture of photographs that encompass variations in facial expression, positioning, and lighting conditions. The facial data photos are further analyzed using machine learning techniques to generate a dataset algorithm model capable of accurately identifying faces. When the system is operational and identifies a face that closely matches the trained model, the Raspberry Pi will activate the doorlock solenoid to unlock the door, and conversely, to lock the door. This approach offers security benefits as it restricts access to only those individuals whose facial features are registered in the dataset, hence allowing them to unlock the door. The developed face detection system has an accuracy rate of 83% and is compatible with computing devices possessing constrained computational capabilities, such as the SBC Raspberry Pi 4.
Co-Authors Abdurahman Dwijotomo Agus Wahyudi Akbar, Muhammad Ikram Andrianur Akmal, Muhamad Raihan Alifiansyah, Irfan Anton Sutrisno Efrianto Efrianto Faizal Rozy Febrianto, Wahyu Ferdinan, Wisnu I Ketut Eddy Purnama Ika Karlina Laila Nur Suciningtyas Imam Mulyono Imam Sholihuddin Indra Daulay Kristian Hutagalung, Yogi Lalu Kaisar Wisnu Kita Marpaung, John Purba Mauridhi Hery P Mauridhi Hery Purnomo Nanta Fakih Prebianto Nicco Nicco Oktani, Dessy Panjaitan, Junaedi Satrio Parulian Sepriadi Ricardo, Riki Ridwan Ridwan Rinaldi, Anggi Rindang Alamsyah Silalahi, Laurent Siti Aisyah Stevanus Hardiristanto Timanta, Febrian Harlim Wikanta, Prasaja Zulhaq, Danang Fariz