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Fachrul Rozie
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ENTRIES
Published by Politeknik Negeri Ketapang
ISSN : -     EISSN : 29872170     DOI : https://doi.org/10.58466/entries
Core Subject : Science, Engineering,
Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering
Journal of Electrical Network Systems and Sources (ENTRIES) is a peer-review journal published by Politeknik Negeri Ketapag . Journal of electrical network system and sources aims to provide a forum for academic researchers, industrial professionals, engineers, consultants, managers, educators and practitioners to contribute and disseminate innovative new work on electrical engineering related smart electrical network and system. All accepted papers will be published twice a year which is available online (open access). The manuscripts should be well presented in English or Indonesian. The author must follow ENTRIES template otherwise, the paper will not be processed.
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 5 Documents
 1 
Search results for , issue "Vol 4 No 1 (2025): Electrical Network Systems and Sources" : 5 Documents clear
Generator Listrik Tenaga Gelombang Air Menggunakan Kristal Piezoelektrik Eko, Muhammad; Ilyas Hadikusuma, Mohd; Rusyda Saufa, Rianda
Electrical Network Systems and Sources Vol 4 No 1 (2025): Electrical Network Systems and Sources
Publisher : entries

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58466/entries.v4i1.1703

Abstract

This research aims to explore the utilization of water waves as a source of electrical energy using piezoelectric crystals. In this study, a device is designed to harness water waves to drive an iron marble that strikes piezoelectric crystals, generating electrical signals. The generated electrical signals are then directed to a peak detector circuit to convert the AC signal into DC, which is temporarily stored in a capacitor. This process ensures signal stability before further processing. Subsequently, the stored electrical signals in the capacitor are processed using a step-up boost converter to increase the voltage. The boosted voltage is then regulated by a charger module for efficient and safe battery charging. The generated electrical energy is stored in a battery for future use. This research aims to harness the kinetic energy from water waves and convert it into stable and well-managed electrical energy, thereby potentially supporting the development of wave-based renewable energy technology
Sistem Kontrol dan Monitoring Daya Output Hybrid PLTS dan PLTB Nazib, Ainun; Mardianto, Eko; Rianda
Electrical Network Systems and Sources Vol 4 No 1 (2025): Electrical Network Systems and Sources
Publisher : entries

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58466/entries.v4i1.1725

Abstract

The current energy crisis encourages the use of renewable energy resources to reduce dependence on non-renewable fossil fuels. The use of renewable energy resources is environmentally friendly, especially in power generation. The research method uses a Hybrid PLTS and PLTB output power control and monitoring system, which monitors both solar power plants and windmills. Data from the sensor is stored according to the time of collection, and monitored via a Smartphone or Laptop device using the ThinkSpeak website via the ESP32 microcontroller. The sensors used include the Non-Inverting Buffer Sensor and the ACS758 Sensor. Temperature, temperature and wind testing is carried out with a DHT22 sensor and an anemometer. DHT and Annemometer sensor data do not use a data storage system, only monitoring.
Monitoring Dan Keamanan Smarthome Berbasis Internet Of Things (Iot) Yudistira, Agung
Electrical Network Systems and Sources Vol 4 No 1 (2025): Electrical Network Systems and Sources
Publisher : entries

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58466/entries.v4i1.1729

Abstract

This study aims to design a home security system based on the Internet of Things (IoT) that can be operated via a smartphone application as a solution to security issues in Pontianak and West Kalimantan. Security threats such as burglary and fire are significant in this region, with 1,149 burglary cases reported in Pontianak and 3,470 cases in West Kalimantan in 2020. Additionally, there were 473 fire incidents between 2010 and 2015, primarily caused by electrical short circuits. The proposed system utilizes the Telegram application as a two-way communication medium, equipped with a flame sensor for fire detection and an MQ-2 sensor for gas leak detection. When these sensors detect a threat, the system responds by activating a water pump to extinguish the fire and a buzzer as an emergency alarm. The system can provide real-time notifications to users via Telegram, enabling a quick response to security threats. The findings indicate that this IoT-based security system not only provides effective notifications but also enhances control and convenience for homeowners, especially when they are away from home. It is hoped that this system can improve security and comfort for residents by allowing them to manage their homes more effectively
Artificial Neural Network Untuk Memprediksi Beban Listrik Dengan Menggunakan Metode Backpropagation Dermawan, Heri; Ishak Alkadri, Syarif
Electrical Network Systems and Sources Vol 4 No 1 (2025): Electrical Network Systems and Sources
Publisher : entries

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58466/entries.v4i1.1744

Abstract

PT PLN Area Ketapang West Kalimantan is a State-Owned Enterprise engaged in the provision of Electricity Resources in Ketapang, West Kalimantan. Prediction of future electricity needs is an important part, in order to meet electricity needs in Ketapang. Artificial Neural Network uses the Backpropagation method applied in this study to predict electricity load needs, it is expected to help in solving this problem. This electricity usage load prediction is influenced by input data on the amount of customer power from various sectors so that the amount of electricity load is known as the target. The data used is electricity sales report data from 2012 - 2016 PT. PLN Area Ketapang. Implementation of the artificial Neural Network backpropagation method using Matlab 8.5 as supporting software
Prototype Kontrol Dan Monitoring Air Tandon Berbasis Mikrokontroler Wati, Hera; Riyanto, Agus; Mardianto, Eko; Syamsudin, Mariana; Rahayu, Wiwit Indah
Electrical Network Systems and Sources Vol 4 No 1 (2025): Electrical Network Systems and Sources
Publisher : entries

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58466/entries.v4i1.1732

Abstract

The availability of clean water is important for health, but not all areas have adequate access. Some communities rely on rainwater, wells, or unsuitable ditches for their daily needs. To overcome this problem, a microcontroller-based water tank control and monitoring system was developed near water sources such as ponds or ditches. This system uses simple filtration with silica sand, zeolite stone, activated carbon, coral shell sand, and coconut fiber to filter dirty water into clean water. The filtration results showed an increase in water quality: the pH of clean water increased from 6.39 to 8.18 and the TDS decreased from 0.63 to 0.03. Pond water increased in pH from 7.22 to 8.19, with TDS decreasing from 0.61 to 0.43. Ditch water showed an increase in pH from 6.97 to 7.77, but a slight increase in TDS from 0.80 to 0.85. Overall, this filtration improves water quality by adjusting pH and reducing TDS.

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