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Elektron Jurnal Ilmiah
Published by Politeknik Negeri Padang
ISSN : 20856989     EISSN : 26544733     DOI : -
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering
Elektron Jurnal Ilmiah (EJI) is a peer-reviewed journal which is published by Department of Electrical Engineering, Politeknik Negeri Padang. The ISSN number is 2085-6989. EJI published the first edition in 2009 and since 2014, EJI publishes in Juni and December. The scopes of the journal are: electrical power, telecommunication, control, electronic and robotics.
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Articles 5 Documents
 1 
Search results for , issue "Volume 16 Nomor 1 Tahun 2024" : 5 Documents clear
Analisa dan Optimasi Pengaruh Physical Tunning Terhadap Handover Failure Pada Jaringan 4G LTE Di Kecamatan Kuranji Aulia, Siska; Angela, Tri Utari; Maria, Popy; Dewi, Ratna; Ramiati, Ramiati
Elektron : Jurnal Ilmiah Volume 16 Nomor 1 Tahun 2024
Publisher : Teknik Elektro Politeknik Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/eji.0.0.439

Abstract

Data collection has been carried out using the drivetest method to determine the quality and problems of the 4G LTE network in Kuranji District, Padang City. The aim of the research is to determine the existence of handover failure and optimize handover failure on the 4G LTE network using the physical tuning method in Kuranji District. The research method is physical tuning for network optimization planning using Atoll software. The research results obtained 2 points of handover failure; at point 1 handover failure latitude -0.9133879 and longitude 100.4189513 served by site Kuranji 3 cell id 326 sec 3 optimization of antenna tilting from 2º to 6.5º, site Kuranji cell id 55 sec 2 optimization of re-azimuth from 140º to 100º , antenna tilting from 2º to 3.5º, antenna height from 23m to 31m. At point 2 handover failure latitude -0.8906544 and longitude 100.4185787, the site serving the Belimbing cell ID 131 sector 3 overshoot occurs, the antenna is tilted from 2º to 8º and the site serving the handover failure area occurs, the Belimbing site cell ID 130 sec 2 tilts the antenna. from 2º to 8. Optimization of physical tuning is able to cover handover failure areas and increase the total performance quality value of RSRP signal strength coverage from 33.46% to 33.74%, SINR from 81.7% to 81.57%, and Throughput optimization results remain the same at 100%.
Deteksi Jamur Beracun dan Tidak Beracun Menggunakan CNN dan YOLO Fajria, Nurul; Lifwarda, Lifwarda; Ramiati, Ramiati; Yulindon, Yulindon
Elektron : Jurnal Ilmiah Volume 16 Nomor 1 Tahun 2024
Publisher : Teknik Elektro Politeknik Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/eji.0.0.453

Abstract

In Indonesia, which has a tropical climate there is a lot of wood which is very suitable for mushroom growth. However, some of these mushrooms are poisonous and should be avoided. By examining the morphological characteristics of the mushroom, such as the shape of the mushroom cap, color, smell, and other characteristics it is possible to identify between poisonous and non-poisonous mushrooms. However, some poisonous mushrooms have the same morphological characteristics as non-poisonous mushrooms, making it difficult for us to differentiate them when seen with the naked eye. As a solution to this problem, machine learning is needed to identify which mushrooms are poisonous and which are not. As in this research, Convolutional Neural Network (CNN) and You Only Look Once (YOLO) were used as methods for identification. The stages in this research include collecting datasets, modeling and training data, and the final process, namely deployment. CNN Method got an accuracy value of 55% and succeeded in identifying 5 correct and 5 incorrect images from the 10 images given. Meanwhile, using YOLOv5, we got a high accuracy value of 91% and succeeded in identifying 9 correct and 1 incorrect image out of the 10 images provided. From a comparison of the 2 methods, it was found that detecting poisonous and non-toxic mushrooms was better using the YOLO method than the CNN method
Rancang Bangun Bak Mandi Bayi Otomatis Menggunakan Logika Fuzzy Ardhana, Aliya Mitha; Wijayanto, Ardik; Rosalinda, Hanny Megawati; Gusti, Agrippina Waya Rahmaning
Elektron : Jurnal Ilmiah Volume 16 Nomor 1 Tahun 2024
Publisher : Teknik Elektro Politeknik Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/eji.0.0.455

Abstract

The temperature and the depth of water should be monitored during the process of bathing a baby. The acceptable temperature range for a baby's skin is very narrow, yet caregivers often pour water based on subjective estimation. Moreover, there are frequent cases of drowning during baby-bathing processes. This research aims to develop an automatic baby bathtub to facilitate safety and efficiency, by giving appropriate values of temperature and depth. The method used to control the temperature using fuzzy logic with two inputs: water temperature and depth. Meanwhile, the depth is controlled by a servo motor connected to a valve. Using fuzzy logic, Pulse-Width Modulation (PWM) signals—connected to the water heater, can be controlled so that the water reaches the desired temperature. Simulation implementation results show a similarity value of 99.72%, indicating the device accurately reads the temperature and the depth. Tests in real conditions show that the system functions well, with an average time of 2.99 minutes to increase the temperature by 2°C and 4.8 minutes for the valve to adjust the water depth.
Sistem Pemantauan Kualitas Air Mineral Berbasis Internet of Things Listiani, Rizka; Syifa, Fikra Titan; Kurnianto, Danny
Elektron : Jurnal Ilmiah Volume 16 Nomor 1 Tahun 2024
Publisher : Teknik Elektro Politeknik Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/eji.0.0.459

Abstract

Research has been carried out regarding checking and monitoring water quality based on parameters of turbidity level and dissolved solids in the water. The aim of this research is to rank water quality based on turbidity parameters and dissolved solids in well water, spring water and packaged product water using the simple additive weighting method. The method used is to design a water quality monitoring system using a turbidity sensor and a TDS (total dissolved solid) sensor. Processing data from sensors uses a microcontroller, namely NodeMCU ESP8266. Water quality ranking is carried out using a simple additive weighting method. The results of water quality testing are displayed on the LCD and the Blynk application using Internet of Things technology. The ranking results show that water sourced from springs is of better quality compared to well water. The water quality ranking for packaged products is ranked first, namely product Y, followed by second rank, namely product X, and finally product Z.
Implementasi Fuzzy Query dalam Sistem Pendukung Keputusan untuk Investasi Properti Edelani, Renovita; Kusumaningtyas, Entin Martiana; Prasetyaningrum, Ira; Anggriawan, Bagus
Elektron : Jurnal Ilmiah Volume 16 Nomor 1 Tahun 2024
Publisher : Teknik Elektro Politeknik Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/eji.0.0.467

Abstract

Rapid urbanization and the increasing demand for residential property have created significant challenges in the real estate market. Prospective homebuyers often face difficulties in finding properties that meet their specific criteria in a crowded and competitive market. This research proposes an approach to property investment decision-making based on the Fuzzy Query method, providing a web-based application designed to simplify the property search process. The application allows users to filter properties based on various criteria, such as price, land area, building area, number of bathrooms, number of bedrooms, certificate type, and environmental noise levels. The application features an intuitive user interface that enables users to quickly find properties that match their preferences. This decision support system effectively assists property investors in obtaining investment assessments.

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