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All Journal JURNAL NASIONAL TEKNIK ELEKTRO Jurnal Teknoif Teknik Informatika Institut Teknologi Padang International Journal of Wireless And Multimedia Communications
Firdaus
Politeknik Negeri Padang
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering

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Penerapan Face Recognition Pada Sistem Starter Mobil Otomatis Menggunakan Metode Eigenface Berbasis Mini PC Mohammad Hafiz Hersyah; Firdaus; Atillah Sridany Putri
Jurnal Teknoif Teknik Informatika Institut Teknologi Padang Vol 6 No 2 (2018): JURNAL TEKNOIF ITP
Publisher : ITP Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (619.809 KB) | DOI: 10.21063/jtif.2018.V6.2.81-89

Abstract

Telah dilakukan penelitian terkait Face Recognition dengan menerapkan metode Eigenface sebagai pemicu untuk menyalakan starter mobil manual secara otomatis. Pada penelitian ini, terungkap bahwa Sistem pengenalan wajah yang dibuat memiliki tingkat keberhasilan sebesar 77% dari 13 kali pengujian pada keadaan intensitas cahaya bernilai 27 lux, dan 67% dari 15 kali pengujian pada keadaan intensitas cahaya bernilai 85 lux. Tingkat keberhasilan sebesar 75% pada keadaan sudut pencahayaan yang berbeda dengan keadaan pencahayaan data training dari 12 kali pengujian. Sistem mampu mengambil keputusan untuk wajah masukan yang tidak dikenali dengan benar dengan tingkat keberhasilan sebesar 100% dari 12 kali pengujian, dan mampu mengenali wajah dengan jarak antara camera dengan penguji berkisar 80 cm – 130 cm
Microstrip Rectangular Patch Array Antenna for Tsunami Radar Fitrilina Fitrilina; Junas Haidi; Alex Surapati; Hendy Santosa; Firdaus; Rudy Fernandez
JURNAL NASIONAL TEKNIK ELEKTRO Vol 11, No 2: July2022
Publisher : Jurusan Teknik Elektro Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1303.072 KB) | DOI: 10.25077/jnte.v11n2.1020.2022

Abstract

Tsunami radar is one of the detection tools used in the tsunami early warning system. The most commonly used is high-frequency radar with a long-range but high power and low resolution. However, in order to improve the reliability of the tsunami warning system in detecting signs of a tsunami and monitoring with a high speed of updating information, a radar system with a high resolution is needed. High resolution can only be obtained by a radar that has a large bandwidth in the radio spectrum. Increasing the bandwidth can be done by increasing radar operating frequency. An antenna is one of the essential components that can determine the performance of the radar system. Therefore, in this study, an antenna was designed at Super High Frequency to be applied to a radar system. The designed antenna is a microstrip antenna with a rectangular patch using array method. The desired specifications at a frequency of 5.8 GHz are return loss ≤-10 dB, VSWR ≤2, bandwidth >150 Mhz, beamwidth >200. After the simulated design met the specifications, the fabrication and measurements were later carried out. The measurement results show a frequency shift to 5,71 GHz with a return loss of -21,346, VSWR of 1,186, bandwidth of 200 MHz, a beamwidth of 40o and gain 11.65 dB. Thus, the proposed antenna, the 8-rectangular patch microstrip array antenna, can be applied in tsunami radar systems.
Implementation Of Internet Of Things (Iot) Based Lecture Schedule In Building G Floor 3 Padang State Polytechnic Anggelina Wulandari; Lifwarda Lifwarda; Firdaus
International Journal of Wireless And Multimedia Communications Vol. 1 No. 1 (2024): International Journal of Wireless And Multimedia Communications
Publisher : Politeknik Negeri Padang

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Abstract

The internet of things-based lecture schedule aims to improve the efficiency and effectiveness of time management. Thus, students, lecturers, and staff can know the time change so that they can prevent delays. By using Arduino Uno as the main component microcontroller, RTC as a clock module that calculates the time that will be displayed on the LCD. Bell and Speaker will sound when the clock on the RTC is the same as the inputted schedule clock, then sent to IoT via the ESP01 wifi module. This tool can also be used as a medium for delivering information because it is equipped with a mic. The RTC in this tool successfully calculates the time according to real time where the Bell and Speaker can work on time according to the schedule. When the bell sounds the measured voltage is 225 volts while the speaker is 2 volts. This tool has also been connected to ThingSpeak using the ESP01 wifi module.  
Water Quality Monitoring System and Automatic Filter System Based on the Internet of Things Nelvidawati; Firdaus
International Journal of Wireless And Multimedia Communications Vol. 1 No. 1 (2024): International Journal of Wireless And Multimedia Communications
Publisher : Politeknik Negeri Padang

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Abstract

PDAM's peak usage of clean water means that water supply to customers often stops due to insufficient distribution of discharge and pressure. To overcome the problem of insufficient water flow, the community provides a water storage tank consisting of a ground water tank and an over head water tank. PDAM water received by the public through distribution pipes has the potential to be contaminated due to the entry of pollutants from repair activities and pipe leaks. These pollutants will accumulate in the tank, causing the water quality to decline and no longer comply with the established quality standards. To prevent accumulation of pollutants in the tank, before using it, the water should be filtered first. An automatic filtration system with monitoring of turbidity and water levels is a technology that can make people's work easier and the quality of the water used is in accordance with drinking water quality standards. Data obtained from turbidity and water level sensors can also be monitored via the IoT platform. The test results of the turbidity and water level sensors have a low error so that the designed tool can be used to monitor turbidity, water level and automatic filter systems. Sending data so that it can be displayed on IoT platforms such as Blynk has also been successfully created. From 10 attempts, the Water Level Sensor gave an average error of 0.78%.
Co-Authors Alex Surapati Anggelina Wulandari Atillah Sridany Putri Fitrilina Fitrilina Hendy Santosa Hersyah, Mohammad Hafiz Junas Haidi Lifwarda Lifwarda Nelvidawati Rudy Fernandez