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Perbaikan MPPT Incremental Conductance menggunakan ANN pada Berbayang Sebagian dengan Hubungan Paralel HABIBI, MUHAMMAD NIZAR; PRAKOSO, DIMAS NUR; WINDARKO, NOVIE AYUB; TJAHJONO, ANANG
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 8, No 3: Published September 2020
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v8i3.546

Abstract

ABSTRAKAlgoritma IncrementaL Conductance (IC) adalah algoritma yang bisa diimplementasikan pada sistem Maximum Power Point Tracking (MPPT) untuk mendapatkan daya maksimum dari panel surya. Akan tetapi algoritma MPPT IC tidak bisa bekerja dikondisi berbayang sebagian, karena menimbulkan daya maksimum lebih dari satu. Artificial Neural Network (ANN) bisa mengidentifikasi kurva karakteristik pada kondisi berbayang sebagian dan dapat mengetahui posisi daya maksimum yang sebenarnya. Masukan dari ANN merupakan nilai arus hubung singkat serta tegangan buka dari panel surya, dan keluaran dari ANN adalah nilai duty cycle yang digunakan sebagai posisi awal tracking dari MPPT IC. Data learning didapatkan dari perubahan nilai duty cycle secara manual pada sistem MPPT di berbagai kondisi radiasi. Hasil pengujian menunjukkan algoritma yang diajukan dapat menaikkan energi 5.79% - 13.32% dibandingkan dengan ANN-Perturb and Observe dan ANN-Incremental Resistance dengan durasi 0.6 detik.Kata kunci: MPPT, Incremental Conductance, Artficial Neural Network, Berbayang Sebagian, Hubungan Paralel ABSTRACTThe Incremental Conductance (IC) algorithm is an algorithm that can be implemented on Maximum Power Point Tracking (MPPT) systems to get maximum power from solar panels. However, the MPPT IC algorithm cannot work in partial shading conditions because it causes more than one maximum power. Artificial Neural Network (ANN) can identify characteristic curves under partial shading conditions and can know the actual maximum power position. The input from ANN is the short circuit current and the open voltage of the solar panel. The output of ANN is the duty cycle value that is used as the initial tracking position of the MPPT IC. Learning data is obtained from manually changing the duty cycle value in the MPPT system in various radiation conditions. The test results show the proposed algorithm can increase energy 5.79% - 13.32% when compared with ANN-Perturb and Observe and ANN-Incremental Resistance with a duration of 0.6 seconds.Keywords: Maximum Power Point Tracking, Incremental Conductance, Artficial Neural Network, Partial Shading, Parallel Connection
Pelatihan Uji Kelaikan Elektrikal Bangunan Gedung Pada Wilayah Pemkab Madiun Guna Pengajuan Perizinan Dimas Nur Prakoso; Budi Triyono; Basuki Winarno; Yuli Prasetyo; Renna Melinda
Abdi Laksana : Jurnal Pengabdian Kepada Masyarakat Vol 5 No 3 (2024): Abdi Laksana : Jurnal Pengabdian Kepada Masyarakat
Publisher : LPPM Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/abdilaksana.v5i3.39955

Abstract

Sejak diundangkannya UU Nomor 28 Tahun 2002 tentang Bangunan Gedung dan sejalan dengan UU Nomor 23 Tahun 2014 tentang Pemerintahan Daerah, Pemerintah Kabupaten/Kota memiliki tanggung jawab terhadap penyelenggaraan bangunan gedung yang tertib dan andal khususnya dalam proses penyelenggaraan Izin Mendirikan Bangunan Gedung (IMB) dan Sertifikat Laik Fungsi Bangunan Gedung (SLF). Dengan diterbitkannya UU Nomor 11 Tahun 2020 tentang Cipta Kerja, terdapat perubahan substansi fundamental dalam proses penyelenggaraan perizinan bangunan gedung yang dituangkan dalam Peraturan Pemerintah Nomor 16 Tahun 2021 tentang Peraturan Pelaksanaan Undang Undang Nomor 28 Tahun 2002 tentang Bangunan Gedung. Dengan terbitnya peraturan tersebut, substansi pada aplikasi SIMBG berubah dan diperlukan penyesuaian. Dengan adanya peraturan yang berlaku maka perlu diberi pelatihan kepada pengaju perijinan melalui Dinas Pekerjaan Umum Kabupaten Madiun guna menyadarkan Masyarakat akan pentingnya perijinan bangunan gedung dan sertifikat laik fungsi demi legalitas bangunan yang dimiliki. Perlu diberi pelatihan untuk pengisian daftar Simak melalui SIM BG bagi konsultan penyedia jasa
Design of an Over Current Relay (OCR) System on a Distribution Network Using a Raspberry Pi Prasetyo, Yuli; Triyono, Budi; Prakoso, Dimas Nur; Kusumo Haryo, R. Jasa
Journal Geuthee of Engineering and Energy Vol 2, No 1 (2023): Journal Geuthee of Engineering and Energy
Publisher : Geuthèë Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (806.52 KB) | DOI: 10.52626/joge.v2i1.13

Abstract

Disturbances in the electrical installation system will be detrimental to electricity users because it can cause power outages. Therefore we need a protection system that can overcome disturbances such as the use of Over Current Relay (OCR). With OCR can overcome interference quickly and can prevent equipment damage. OCR interference occurs if the current read on sensor 1 is more than 10.5 A, then relay 1 will work after a disturbance of 5 seconds. The indicator light on the PLN side will be red. Meanwhile, if the current at sensor 2 is more than 10 A, then relay 2 will work after a disturbance for 5 seconds. The indicator light on the customer side will be red. Short circuit disturbance occurs if the current read on sensor 1 is more than 20.5 A, then relay 1 will work after an interruption of 2 seconds. The indicator light on the PLN side will be red. Meanwhile, if the current on sensor 2 is more than 20 A, then relay 2 will work after a disturbance for 2 seconds. The indicator light on the customer side will be red.
Data-Driven Anomaly Control Detection for Railroad Lines Using Sobel Filter and VGG-16 Model, Res-Net50, InceptionV3 Ciptaningrum, Adiratna; Apriyanto, R. Akbar Nur; Prakoso, Dimas Nur; Yudha, R. Gaguk Pratama; Echsony, Mohammad Erik
Journal Geuthee of Engineering and Energy Vol 2, No 1 (2023): Journal Geuthee of Engineering and Energy
Publisher : Geuthèë Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52626/joge.v2i1.17

Abstract

Rail inspection is essential to ensure the safety and performance of the rail system. In rail inspection, object detection is an important task to locate and identify damage or obstructions on the rail. This research discusses the use of Sobel features on three convolutional neural network (CNN) architectures, namely VGG-16, ResNet50, and InceptionV3 for object detection in rail inspection. The purpose of this research is to improve the accuracy of object detection in rail inspection by utilizing the edge information obtained from the Sobel filter. This research involves several stages, namely collecting rail image data, image processing with the Sobel filter, feature extraction using three CNN architectures, namely VGG-16, ResNet50, and InceptionV3, and evaluating object detection performance using accuracy metrics. The results show that the use of Sobel features in the three CNN architectures can improve the accuracy of object detection in rail inspection. The evaluation results show that the ResNet50 model provides the best performance with detection accuracy reaching 96%, followed by the InceptionV3 model with 90% accuracy, and the VGG-16 model with 90% accuracy. Based on the results of this study, it can be concluded that the use of Sobel features in CNN architecture can improve object detection accuracy in rail inspection. In addition, the ResNet50 model has the best performance compared to the VGG-16 and InceptionV3 models in object detection in rail inspection. This can be a reference in the development of future rail inspection object detection systems.
Solar Tracking System Pada Panel Surya dengan Metode Optimum Tegangan Menggunakan Mikrokontroler Habsari, Kumala Mahda; Arwin, Zawatan; Ningrum, Hanifah Nur Kumala; Prakoso, Dimas Nur
Elposys: Jurnal Sistem Kelistrikan Vol. 12 No. 2 (2025): ELPOSYS vol. 12 no. 2 (2025)
Publisher : Politeknik Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/elposys.v12i2.7269

Abstract

This study examines the application of a Solar Tracking System on photovoltaic panels using the Optimal Voltage Method controlled by an Arduino Mega 2560 microcontroller. The system is designed to dynamically optimize the panel's position to continuously face the sun, thereby increasing radiation absorption and improving electrical energy conversion efficiency. Testing was conducted by comparing the output voltage of the panel with and without the tracking system. The measurement results showed an average increase of 1.51% in the output voltage when the tracking system was activated. Analysis of solar irradiation data and light intensity further supports the system's effectiveness in maximizing solar energy utilization throughout the day. With the Arduino Mega 2560's ability to process data in real-time and control linear actuators, this system has proven to be effective in enhancing photovoltaic panel performance. This research is expected to lead to significant changes. The innovation made can improve solar energy efficiency, reduce costs, and expand global access to clean energy. Furthermore, this innovation contributes to achieving sustainability goals set by various countries, creating a positive impact on economic growth, job creation, and environmental health. With ongoing technological advancements, the solar tracking system has the potential to play a key role in realizing a more sustainable and environmentally friendly future in the energy sector.
Integrated IoT System for Real-Time Electrical Load Monitoring Prasetyo, Yuli; Triwijaya, Santi; Khakim, Ainul; Prakoso, Dimas Nur; Winarno, Basuki
Journal Geuthee of Engineering and Energy Vol 4, No 1 (2025): Journal Geuthee of Engineering and Energy
Publisher : Geuthèë Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52626/joge.v4i1.57

Abstract

 The uncontrolled and excessive consumption of electrical energy, especially in households, often leads to significant energy waste. This issue adversely affects both consumers and electricity providers such as PLN. To address this problem, a system titled "Centralized Monitoring and Control Based on Load Characteristics Using the Internet of Things (IoT)" was developed. This system is designed to monitor and control household electrical loads in real time. The system consists of a PZEM-004T sensor for measuring voltage, current, power, energy usage, frequency, and power factor. An Arduino microcontroller processes the sensor data, while an ESP32 module transmits the data to an online database. A relay module is used to control electrical devices remotely. The data is stored in a database and visualized through a web-based interface, which also enables users to download monitoring reports in PDF or Excel formats. Testing results showed that the system operates with high accuracy. When compared to a standard power analyzer, the measurement error for parameters such as voltage, current, frequency, and power factor remained low, with a maximum error of only 1.9%. It demonstrates the system’s potential for efficient energy monitoring and management in residential settings.
Variable speed drive control system as a controller for a 3-phase motor using function block diagram on zelio PLC Triyono, Budi; Winarno, Basuki; Prakoso, Dimas Nur; Utama, Ferdiansyah Prasetya
Journal Geuthee of Engineering and Energy Vol 4, No 2 (2025): Journal Geuthee of Engineering and Energy
Publisher : Geuthèë Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52626/joge.v4i2.62

Abstract

A 3-phase electric motor is one of the key components in industrial production processes. In industrial activities, electric motors play a significant role in the production process, as almost all machines in the industry use electric motors as their driving force. This type of motor is susceptible to overcurrent, caused either by an overload or excessive current. Common disturbances that may occur in a 3-phase electric motor include: high starting current, overcurrent, overvoltage, undervoltage, underfrequency, and short circuit undervoltage. A protection system is needed to minimize the losses caused by these disturbances, making it essential to conduct a protection system analysis to be installed on the motor. Using the Multi-Function Meter SMART 7KT as a device capable of detecting these disturbances and taking the necessary protective actions, the protection system employs a PLC (Programmable Logic Controller) and HMI (Human Machine Interface) as the interface for controlling and monitoring the protection system on the electric motor, communicated via Modbus RTU. Therefore, this protection system can safeguard the 3-phase electric motor from disturbances such as large starting current, overcurrent, undervoltage (-10% from normal voltage), overvoltage (+5% from normal voltage), and underfrequency. With this developed protection system, the risk of damage to critical or vital 3-phase electric motors can be minimized
Implementation of smart room system based PLC and block diagram function programming Triwijaya, Santi; Prasetyo, Yuli; Triyono, Budi; Nur Prakoso, Dimas; Multazam, Teuku
Journal Geuthee of Engineering and Energy Vol 3, No 1 (2024): Journal Geuthee of Engineering and Energy
Publisher : Geuthèë Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52626/joge.v3i1.36

Abstract

Technological developments have brought a revolution in the smart home concept, with smart rooms becoming the main focus to increase comfort, efficiency and security. This article explores the concept of a Programmable Logic Controller (PLC) based smart room with Function Block Diagram (FBD) programming. PLCs, which were originally used in industry, were introduced into the smart home environment as a central brain capable of managing and controlling electronic devices. FBD programming, with its visual approach, provides an intuitive programming solution by using function blocks to represent control logic. Through the use of FBD-based PLCs, smart rooms can be effectively automated, including lighting, temperature and security aspects. The advantages of this method include an easy-to-understand programming interface and the ability to design control logic without requiring a deep understanding of programming languages. The research results show that FBD-based PLCs provide an efficient and effective solution to improve the function of smart rooms. This implementation can provide significant benefits in terms of energy management, occupant comfort and home security. Thus, the PLC-based smart room concept with FBD programming marks a step forward in realizing a smart home that is responsive, connected, and can be adapted to the needs of residents.
Vawt Helix Turbine Design For Microhybrid Plants Budi Artono; Yuli Prasetyo; Basuki Winarno; Dimas Nur Prakoso; Afifah Al Hayu Nugraheni
JURAL RISET RUMPUN ILMU TEKNIK Vol. 3 No. 2 (2024): Oktober : Jurnal Riset Rumpun Ilmu Teknik
Publisher : Pusat riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jurritek.v3i2.7295

Abstract

Conventional power plants that exist today can cause environmental damage, such as air pollution and the erosion of fossil reserves. Therefore, humans continue to innovate to develop environmentally friendly power plants. One of them is the combined wind turbine and solar cell technology to create a more effective solution called a Hybrid power plant. This research proposes a VAWT Helix Turbine Design for Microhybrid Power Plant. The design is according to the wind speed and solar radiation for the Madiun city area. BMKG data shows that the average wind speed is 3 m/s to 7 m/s. Meanwhile, the sun's heat is on average 25°C to 36°C. The wind turbine uses 3 blades of helix type and the solar cell used is Monocrystalline. The design was designed using the AutoCAD program and simulated using Qblade software. The blades are made using 3D Printing Polylactic Acid (PLA) and then printed using a 3D Printer. Simulation results using Qblade show the average value when the wind speed is 3 m/s produces an average power within 11.4 Watt. When the wind speed is 4 m/s, the average power is 33.7 Watt. When the wind speed of 5 m/s produces an average power of 80.2 watts.
SISTEM CHARGING 110 VDC SEBAGAI SUPPLY CONTROL CIRCUIT VOLTAGE KUBIKEL 20 KV Prakoso, Dimas Nur; Prasetyo, Yuli; Winarno, Basuki; Triyono, Budi; Triwijaya, Santi
ELECTRON Jurnal Ilmiah Teknik Elektro Vol 6 No 2: Jurnal Electron, November 2025
Publisher : Jurusan Teknik Elektro Fakultas Teknik Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/electron.v6i2.322

Abstract

The 110VDC supply at the substation serves as a supply for the control and protection system at the cubicle panel. In addition, the 110VDC battery used as a backup supply plays an important role when the main supply source is lost. Loss of supply 110VDC is fatal to the electrical system. Causes electrical interference cannot be monitored and protection failure. 110VDC batteries may experience voltage drops. There are several ways to keep the battery in good condition when used, one of them with a charging system which functions to maintain the condition battery. This system uses a Buck converter circuit with charging pulses through the duty cycle can distribute high electric current to battery. With a Buck converter output voltage of 111 Volt 6.54 A at duty cycle 55% using dummy load. Test results with a voltage of 110VDC and a current of 5A in testing with dummy load of 10Ω480W obtained voltage output of 103VDC and current of 8.40A, in testing with dummy load of 10Ω400W received voltage output of 136VDC and current of 6.28A, in testing with dummy load of 12Ω500W received voltage output of 122VDC and current of 6.00 A, in testing with dummy load of 15Ω500W received voltage output of 127VDC and current of 5.88 A, in testing with dummy load of 11Ω500W received voltage output of 111VDC and current of 6.54A. From the overall test data by providing a load in the form of a dummy load, an average error of 9.86% was obtained.