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Annisa Sarah
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Prodi Teknik Elektro, Fakultas Teknik Unika Atma Jaya Jakarta BSD City, Jl. Cisauk, Sampora, Cisauk Tangerang, Banten 15345 Tel. : +62 21 570 8826 Fax : +62 21 579 00573
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INDONESIA
JURNAL ELEKTRO
Published by Universitas Katolik Indonesia Atma Jaya
ISSN : 19799780     EISSN : 27464288     DOI : -
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering
Jurnal Elektro diterbitkan oleh Program Studi Teknik Elektro, Fakultas Teknik Unika Atma Jaya Jakarta. Jurnal Elektro terbuka untuk penelitian dalam bidang-bidang teknik elektro seperti elektro arus kuat, elektronika, sistem kontrol atau kendali, telekomunikasi, komputer dan berbagai sub topik yang relevan terhadap perkembangan dan implementasi teknik elektro. Jurnal Elektro is published by the Electrical Engineering Bachelor Program, Faculty of Engineering, Atma Jaya Catholic University of Indonesia, Jakarta. Jurnal Elektro is open to research in the fields of electrical engineering such as power, electronics, control or control systems, telecommunications, computers and various sub-topics relevant to the development and implementation of electrical engineering.
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 143 Documents
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Studi Performa Panel Surya 100 WP Menggunakan Software Homer Di Universitas Pamulang simanjuntak, Refor mangasi; Triyanto, Aripin
Jurnal Elektro Vol 17 No 2 (2024): Jurnal Elektro: Oktober 2024
Publisher : Prodi Teknik Elektro, Fakultas Teknik Unika Atma Jaya Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25170/jurnalelektro.v17i2.5884

Abstract

Studies on designs and systems for solar panels are currently continuing to be developed. One application is to design a Homer-based solar power generation system (PLTS) with a solar panel capacity of 100 Wp and analyze the system performance at different loads. This research was conducted to determine the amount of power that solar panels can produce, load consumption, and determine a suitable system configuration to meet electricity needs at different loads. The method used is design, determining parameters on the homer and creating a simulation with loading. The research results show that the amount of power that can be produced by solar panels is 75,2kWh/year and can meet electricity needs at different loads. It is hoped that this research can be a solution to optimize the use of solar energy on a small scale and support renewable energy programs in Indonesia.
PENGEMBANGAN PERANGKAT LUNAK UNTUK AKUISISI DATA KONSUMSI DAYA LISTRIK DARI POWER METER Ginting, Ignatius; Mulyadi, Melisa; Wijayanti, Linda; Manalu, Ferry Rippun Gideon
Jurnal Elektro Vol 17 No 2 (2024): Jurnal Elektro: Oktober 2024
Publisher : Prodi Teknik Elektro, Fakultas Teknik Unika Atma Jaya Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25170/jurnalelektro.v17i2.6109

Abstract

Technological developments make it possible to monitor electricity consumption in real-time via the internet. The system developed uses a power meter to collect data, Python to process data and IoT connectivity via NodeMCU ESP8266 to send data to the internet. Python is used so that measurement data can be processed and presented in an easy-to-understand format. The test results show that electrical data measurements can be displayed with an error ranging from 0.04% -11.56%. This is because there is a delay from the time the power meter is measured until the data is displayed on ThingSpeak.
Frequency Extraction of Phonocardiogram Signal using Fourier Transform Bachri, Karel Octavianus
Jurnal Elektro Vol 17 No 2 (2024): Jurnal Elektro: Oktober 2024
Publisher : Prodi Teknik Elektro, Fakultas Teknik Unika Atma Jaya Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25170/jurnalelektro.v17i2.6195

Abstract

This article presents Fourier Transform application to extract features of Phonocardiogram Signals into its frequency components. Data was taken from Physionet Dataset of Phonocardiogram which comprises of normal and abnormal heart condition. Raw data was preprocessed using time clipping of 2 seconds at certain area that contains less noise. A lowpass filter was applied to denoise the raw signals. Experiments show the PCG of normal hearts has a dominant frequency of 50Hz to 150Hz, with the subdominant frequencies of 450 Hz to 650 Hz. The subdominant frequency of the normal hearts sometimes show anomaly with more amplitude compared to the dominant frequency.

Page 15 of 15 | Total Record : 143

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