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Dielektrika : Jurnal Ilmiah Kajian Teori dan Aplikasi Teknik Elektro
Published by Universitas Mataram
ISSN : 20869487     EISSN : 2579650X     DOI : https://doi.org/10.29303/dielektrika
Core Subject : Science, Engineering,
Computer Science & IT Electrical & Electronics Engineering Energy
The Aims and scope of the Dielektrika are Power System, Telecommunication, electronics and computer of informatics, including: Electrical Power Systems, High Voltage Technology, Renewable Energy, Power Electronics, Sensing and Automation, Telecommunication system and technique, Signal Processing, Image Processing, Internet of Things, Artificial Intelligence, Data Science Analytic, Biomedical Engineering.
Arjuna Subject : Teknik (semua kategori) - Teknik Listrik dan Elektro
Articles 229 Documents
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PEMODELAN BUCK-BOOST CONVERTER DENGAN KENDALI ARTIFICIAL NEURAL NETWORK UNTUK PENGISIAN BATERAI PADA SISTEM PHOTOVOLTAIC Satiawan, I Nyoman Wahyu; Atmajaya, Sri Dewi Yuliana; Supriono, Supriono
DIELEKTRIKA Vol 10 No 1 (2023): DIELEKTRIKA
Publisher : Jurusan Teknik Elektro Fakultas Teknik Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/dielektrika.v10i1.333

Abstract

Indonesia memiliki potensi energy surya yang sangat besar karena wilayhnya terletak di daerah katulistiwa. Energi surya dikonversi menjadi energi listrik melalui panel surya atau fotovoltaik (PV). Energi listrik yang dihasilkan oleh PV dapat langsung dipergunakan untuk mencatu beban atau disimpan dalam sebuah baterai. Penelitian ini menyelidiki disain sistem pengisian baterai dengan kendali Artificial Neural Networks (ANN). Sistem pengisian baterai dimodelkan menggunakan Matlab / Simulink. ANN dilatih dengan menggunakan data masukan dan keluaran yang didapat dari sistem pengisian baterai yang dikontrol dengan PI. ANN dilatuh dengan algoritma backpropagation. Hasil penelitian menunjukkan bahwa Buck-Boost Converter mmpu mempertahankan tegangan pengisian baterai yang relatif konstan yakni diantara 12.93 V - 14.01 V, pada tegangan keluaran PV yang bernilai diantara 14,01 V - 15,72 V. Sedangkan respon performansi sistem yang dihasilkan dengan kendali PI dan ANN sama yaitu nilai overshoot terbesar senilai 4.99% dan nilai settling time maksimum sebesar 7.16 s. Unjuk kerja performansi respon dari sistem yg dikontrol dengan PI dan ANN cedrung sama. Hal ini disebabkan oleh proses training ANN yang belum optimal karena data latih yang digunakan masih terbatas.
Desain perangkat praktikum Programmable Logic Controller (PLC) Berbasis Arduino Nano Paris Ali Topan; Indra Darmawan Indra
DIELEKTRIKA Vol 10 No 2 (2023): DIELEKTRIKA
Publisher : Jurusan Teknik Elektro Fakultas Teknik Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/dielektrika.v10i2.334

Abstract

Programmable Logic Controller (PLC) merupakan perangkat pengendali yang umum digunakan pada industri, sehingga sudah menjadi suatu keharusan bagi pelajar SMK dan mahasiswa teknik elektro untuk mengetahui prinsip kerja dan cara pemrogramannya. Untuk mempelajari sistem PLC diperlukan perangkat PLC itu sendiri dan beberapa komponen pendukung yang memiliki harga yang cukup mahal. Penelitian ini mencoba untuk mendesain suatu perangkat simulator PLC yang terjangkau dengan hanya memanfaatkan Arduino Nano sebagai microprocessor dan Outseal PLC sebagai editor untuk pemrograman PLC berbasis Ladder Diagram, perangkat simulator ini berhasil dibuat pada sebuah Printed Circuit Board profesional. Walaupun sudah berhasil dibuat, namun masih terdapat beberapa kendala yang perlu diselesaikan seperti terjadinya error saat transfer program ke perangkat dari Outseal Studio
Study Literature Study on Predicting Gold Prices using Machine Learning Sri Wahyuningsih; Kusrini; Hanafi
DIELEKTRIKA Vol 10 No 2 (2023): DIELEKTRIKA
Publisher : Jurusan Teknik Elektro Fakultas Teknik Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/dielektrika.v10i2.335

Abstract

Gold is a metal that is believed to be able maintain prices and can be a medium of exchange that has different forms and functions. In addition, gold can be used as a long-term investment tool at various prices. Price variations can be influenced by many factors, so predicting gold prices can minimize risk. Gold price predictions are not only interesting for collectors but also interesting for analysts to discuss. Machine learning is one method that is often used to predict gold prices. In this study will discuss the study of literature based on the methods and results of previous literature. The purpose of this study is to determine the best performance of the methods that have been used and can be used as a reference in predicting gold prices. The purpose of writing this journal is to provide an overview as well the benefits of applying data mining techniques to machine learning. These benefits include development better understanding of machine learning, as well as improved decision making and technological innovation.
Analisis Potensi Matahari dan Angin menggunakan Reanalysis Dataset ECMWF dan NASA POWER di Pulau Teupah Lisman Lisman; Ira Devi Sara; Tarmizi Tarmizi
DIELEKTRIKA Vol 10 No 2 (2023): DIELEKTRIKA
Publisher : Jurusan Teknik Elektro Fakultas Teknik Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/dielektrika.v10i2.337

Abstract

Analisis potensi energi terbarukan banyak menggunakan dataset dari sumber sekunder seperti Solargis, ECMWF, NASA, dan Meteonorm karena dapat memberikan informasi yang relevan dan konsisten dalam jangka panjang sampai puluhan tahun. Penelitian ini membandingkan potensi energi matahari dan angin menggunakan reanalysis dataset ECMWF dan NASA POWER di Pulau Teupah dalam skala jam dari tahun 2012 sampai 2021. Metode analisis yang digunakan adalah kuantitatif dan deskriptif. Hasilnya, potensi energi matahari dan angin untuk dataset ECMWF lebih besar dibandingkan dataset NASA POWER. Namun secara karakteristik potensi energi matahari dan angin baik perhari dan perbulan untuk dataset ECMWF dan dataset NASA POWER tidak berbeda secara signifikan. Potensi energi matahari di Pulau Teupah lebih direkomendasikan untuk dikembangkan sebagai pembangkit energi terbarukan daripada potensi energi angin pada ketinggian kurang dari 50 Meter.
Tourism Destination Article Search Features using TF-IDF and Cosine similarity Mizanul Ridho Aohana; Fitri Bimantoro
DIELEKTRIKA Vol 10 No 2 (2023): DIELEKTRIKA
Publisher : Jurusan Teknik Elektro Fakultas Teknik Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/dielektrika.v10i2.338

Abstract

In the current digital era, the increasing public interest in searching for information about travel destinations necessitates an effective and accurate search system. However, search results for travel destination articles often yield irrelevant or inadequate outcomes. To address this issue, this paper proposes applying the Term Frequency-Inverse Document Frequency (TF-IDF) algorithm and Cosine Similarity in the search feature for travel destination articles. By employing these algorithms, the search system is anticipated to deliver more relevant and accurate results according to user needs. This research contributes to developing an effective search system for travel destination articles, assisting users in obtaining relevant and high-quality information about the destinations they are searching for. The methodology involves collecting data on travel destination articles, implementing the TF-IDF algorithm to evaluate term importance, and utilizing Cosine Similarity to measure the similarity between articles and user queries. The study results demonstrate that implementing the TF-IDF algorithm and Cosine Similarity in the search feature for travel destination articles enhances the accuracy and relevance of search results. Users can quickly discover articles that align with their queries, improving their search experience. In conclusion, this research highlights that applying the TF-IDF algorithm and Cosine Similarity in the search feature significantly improves the accuracy and relevance of search results for travel destination articles. This enhances the search experience for users seeking information about travel destinations.
Prototype Home Door Security with Fingerprint Sensor and Bluetooth Modules Using the Arduino Uno as a Controller Masyitah Aulia; Titi Andriani; Ghufron Awliya Syahroni; Paris Ali Topan
DIELEKTRIKA Vol 10 No 2 (2023): DIELEKTRIKA
Publisher : Jurusan Teknik Elektro Fakultas Teknik Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/dielektrika.v10i2.340

Abstract

The security system is very important, especially for a house. The security system is one way to prevent theft. Door security systems are conventionally vulnerable to theft because they are easy to break into. Therefore, it is necessary to apply a safer door security system with the latest technology to minimize theft. One way is to use a fingerprint sensor to open the door, often known as a fingerprint lock, and an Android Smartphone Bluetooth control system. The fingerprint sensor connected to the Arduino Uno will record the registered user's fingerprint. The fingerprint function is to open the door after the finger is placed on the fingerprint sensor. The specialty of this system is that only registered fingerprints can open the door. Meanwhile, by using Bluetooth, the locked door is opened using the Android system. Through this system, it can minimize the crime of burglary. The result of this system is that the user's fingerprint data will be displayed via the LCD, which contains the ID number and the accuracy value of the fingerprint when pasted, and also that information that the door lock has been opened will be visible on the Android screen via Bluetooth. The method used is a prototype so that the design of this system can be developed according to the wishes and size of the house.
Rancang Bangun Hot Plate Magnetic Stirrer Berbasis Mikrokontroler budi darmawan; Suthami Ariessaputra; Muhammad Alfarizi Putra
DIELEKTRIKA Vol 10 No 2 (2023): DIELEKTRIKA
Publisher : Jurusan Teknik Elektro Fakultas Teknik Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/dielektrika.v10i2.344

Abstract

Chemical laboratories require additional equipment that is used as a mixer into the solution or chemical to be studied. The mechanism that is often used to accelerate the process of dissolving or mixing chemicals is heating and stirring. In addition to dissolving faster, the resulting solution will also be more homogeneous. In this research a Hot Plate Magnetic Stirrer was designed and manufactured by setting the time, temperature and stirring speed via a keypad so that accurate time, temperature and speed were obtained. The Hot Plate Magnetic Stirrer made in this study uses an infrared sensor to detect the speed of stirring, and an NTC 3950 sensor which is immersed in the solution to detect the temperature of the solution during stirring. The Hot Plate Magnetic Stirrer tool that has been made can run as expected. In the stirring time test, the system will work according to the input time. In testing the stirring temperature the system can maintain the stability of the solution temperature as desired with a maximum temperature of 110˚C. In the stirring speed test, the maximum speed of stirring was obtained, namely 1500 RPM when stirring using a beaker glass with a diameter of 6 cm and a bar magnet length of 4 cm.
Save Our Sea : Rancangan Game 2D RPG Berbasis Android Menggunakan Godot Engine Giri Wahyu Wiriasto; Kevin Asgaryansyah
DIELEKTRIKA Vol 10 No 2 (2023): DIELEKTRIKA
Publisher : Jurusan Teknik Elektro Fakultas Teknik Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/dielektrika.v10i2.345

Abstract

This research is a development of a 2D role-playing game or RPG game using the Godot Engine. The game's rules have been designed to feature a character, a fish, which will be played by the player, embarking on a mission to combat an evil corporation that is polluting the ocean by disposing of marine waste. The gameplay includes platforming challenges, environmental puzzles, and battles. The technical aspects of the game have been explained, detailing the methods and techniques used in its development. This includes implementing player movement, physics, sprite animations, and interactions with various objects, including algorithms for waste collection and encounters with enemies. The main objectives of the game are to overcome platforming obstacles, solve environmental puzzles, and defeat NPC enemy characters. The game's progress is measured by collecting various types of waste as an indicator of environmental cleanup. The successful implementation of the game has allowed it to be played on a simulation scale.
CHANNEL SELECTION SIMULATION WITH RAIN CONDITIONS WITH COMPARISON OF SIGNAL STRENGTH OF RECEIVER EXISTING 5G NETWORK FREQUENCY 2.3 GHZ made sutha yadnya; Suthami Ariessaputra; Natasya Dewi Astuti
DIELEKTRIKA Vol 10 No 2 (2023): DIELEKTRIKA
Publisher : Jurusan Teknik Elektro Fakultas Teknik Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/dielektrika.v10i2.347

Abstract

The 5G network has been used in Grand Prix 1 (GP-1) in Indonesia. In accordance with the permission granted by the Ministry of Communication and Information with a working frequency of below 900 MHZ, mid 2.3 GHz, and high 28 GHz. One of the advantages of 5G is that the download speed reaches 20 Gpbs per user using high frequencies. This study simulates by analyzing the effect of 5G network performance when there is rain attenuation which can reduce signal quality. Then a centralized RAN (C-RAN) architectural scenario is created when the BTS is dampened by rain for each of its links. Then calculating the rainfall data to become rain attenuation with ITU-R recommendations, the SNR values ​​are obtained from 3 dBm to 20 dBm, the SNR values ​​are used as input using the Maximal Ratio Combining method in order to reduce signal interference that occurs due to rain.
Optimalisasi Penentuan Posisi Access Point Pada Ruang Tertutup Menggunakan Algoritma Genetika Misbahuddin; Djul Fikry
DIELEKTRIKA Vol 10 No 2 (2023): DIELEKTRIKA
Publisher : Jurusan Teknik Elektro Fakultas Teknik Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/dielektrika.v10i2.348

Abstract

WiFi is a term used for wireless network devices (WLAN) based on IEEE 802.11 standard. Access Point is a WLAN device that is used as a transmitter or receiver. One of the parameters that can determine the performance of a WiFi is the coverage area of an access point. Placement it is not appropriate with environmental conditions will cause some of an area that is not covered or a blankspot area. In this research, the position of the access point was optimized using a genetic algorithm based on position and coverage area. Total coverage area is obtained by determining the union coverage area of all access points which appropriate with the range that is determined using indoor propagation model. From the research results, the most optimal number of access points is 5 access points. The existing condition with 5 access points has a coverage area of 75.27%, while optimization using 5 access points has a coverage area of 96.64%. The optimization can increase the coverage area by 21.38% and reduce the blank spot area to 3.36%.

Page 19 of 23 | Total Record : 229

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