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Optimizing the Personnel Position Monitoring System Using the Global Positioning System in Hostage Release Irmanto, Dodo; Sujito, Sujito; Aripriharta, Aripriharta; Widiatmoko, Dekki; Kasiyanto, Kasiyanto; Omar, Saodah
INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi Vol 8 No 1 (2024): February 2024
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/intensif.v8i1.21665

In the contemporary era of globalization, maintaining public order depends on strong security measures. Addressing security challenges, particularly in hostage release scenarios, requires rapid and appropriate responses, highlighting the need for efficient personnel deployment. This research proposes an advanced solution using a GPS Tracking System which uses a sequential method by utilizing digital photos from GPS satellites to monitor the movement of individuals and objects. Specifically applied to the Sandra rescue mission, our research uses the NodeMCU ESP8266 component, which integrates GPS and Wi-Fi functions while considering wind direction. Tests performed demonstrated an impressive success rate of 98.6%, demonstrating the effectiveness of our real-time personnel positioning approach.

Queen honey bee migration (QHBM) optimization for droop control on DC microgrid under load variation Aripriharta, Aripriharta; Al Rasyid, Mochammad Syarifudin; Bagaskoro, Muhammad Cahyo; Fadlika, Irham; Sujito, Sujito; Afandi, Arif Nur; Omar, Saodah; Rosmin, Norzanah
Journal of Mechatronics, Electrical Power, and Vehicular Technology Vol 15, No 1 (2024)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/j.mev.2024.742

Transmission line impedance in DC microgrids can cause voltage dips and uneven current distribution, negatively impacting droop control and voltage stability. To address this, this study proposes an optimization approach using heuristic techniques to determine the optimal droop parameters. The optimizcv ation considers reference voltage constraints and virtual impedance at various load conditions, particularly resistive. The optimization problem is addressed using two techniques: queen honey bee migration (QHBM) and particle swarm optimization (PSO). Simulation results show that QHBM reaches an error of 0.8737 at the fourth iteration. The QHBM and PSO algorithms successfully optimized the performance of the DC microgrid under diverse loads, with QHBM converging in 5 iterations with an error of about 0.8737, and PSO in 40 iterations drawn error is 0.9 while keeping the current deviation less than 1.5 A and voltage error less than 0.5 V. The deviation of current control and virtual impedance values are verified through comprehensive simulations in MATLAB/Simulink.

Control energy management system for photovoltaic with bidirectional converter using deep neural network Widjonarko, Widjonarko; Utomo, Wahyu Mulyo; Omar, Saodah; Baskara, Fatah Ridha; Rosyadi, Marwan
International Journal of Electrical and Computer Engineering (IJECE) Vol 14, No 2: April 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v14i2.pp1437-1447

Rapid population growth propels technological advancement, heightening electricity demand. Obsolete fossil fuel-based power facilities necessitate alternative energy sources. Photovoltaic (PV) energy relies on weather conditions, posing challenges for constant energy consumption. This hybrid energy source system (HESS) prototype employs extreme learning machine (ELM) power management to oversee PV, fossil fuel, and battery sources. ELM optimally selects power sources, adapting to varying conditions. A bidirectional converter (BDC) efficiently manages battery charging, discharging, and secondary power distribution. HESS ensures continuous load supply and swift response for system reliability. The optimal HESS design incorporates a single renewable source (PV), conventional energy (PNL and genset), and energy storage (battery). Supported by a BDC with over 80% efficiency in buck and boost modes, it stabilizes voltage and supplies power through flawless ELM-free logic verification. Google Colab online testing and hardware implementation with Arduino demonstrate ELM's reliability, maintaining a direct current (DC) 24 V interface voltage and ensuring its applicability for optimal HESS.

Load forecasting analysis for estimating transformer capacity of Karangkates Substations using Holt-Winters method in Python Rahmawati, Yuni; Kaki, Gregorius Paulus Mario Laka; Aripriharta, Aripriharta; Sujito, Sujito; Afandi, Arif Nur; Wibawa, Aji Prasetya; Purwatiningsih, Ayu; Bagaskoro, Muhammad Cahyo; Omar, Saodah; Rosmin, Norzanah
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 15, No 4: December 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v15.i4.pp2222-2233

In the six years from 2010 to 2015, the peak load in the East Java region increased by an average of 284MW per year. Karangkates Substation is part of an interconnected electrical system that supplies Java Island. To ensure a high level of reliability in its service, it is necessary to prepare for load growth to make sure that it does not exceed its ideal conditions, therefore special analysis of transformer capacity is needed. Using the Holt-Winters (HW) method as a reference for processing the data can be used as a reference in planning and anticipating the growing electricity demand. The results of this study are with the accuracy of the HW method with mean absolute percentage error (MAPE) = 2.645%, while the accuracy of the fuzzy time series (FTS) method = 6.399%. A forecast result done with HW methods shows the transformer at the substation Karangkates reached its normal working capacity in March 2018 at 99.583% of installed capacity and exceeded the maximum capacity in April 2018 at 101.493% of installed capacity.

Test Hybrid PV System Performance Against Load Variations Aripriharta, Aripriharta; Amin, Muhammad Adib; Sujito, Sujito; Faiz, Mohamad Rodhi; Bagaskoro, Muhammad Cahyo; Susilo, Suhiro Wongso; Omar, Saodah
Circuit: Jurnal Ilmiah Pendidikan Teknik Elektro Vol 9, No 1 (2025)
Publisher : PTE FTK UIN Ar-Raniry

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22373/crc.v9i1.23284

The depletion of fossil fuels has driven significant changes in the global electricity system. Solar Power Plants (PLTS) as a renewable energy source have shown the potential to contribute up to 25% of global electricity generation by 2050. The electricity system often experiences disturbances that can affect its performance and reliability. This study examines the performance of a 1.2 kW hybrid PV system under various load conditions. The system was tested with load variations of 2%, 7%, 22%, and 26% to assess its efficiency and performance. Despite a slight voltage drop of 4V Vac (-1.82%) at higher loads, the hybrid PV system consistently maintained a voltage range of 216-220V Vac, which meets the standard requirements. The system demonstrated high efficiency, averaging over 95%, with a peak efficiency reaching 98.5% at 2% load. These results confirm the effectiveness, safety, and reliability of the system under various load conditions. The findings are based on direct testing and measurements of a 1.2 kW hybrid PV system to evaluate the impact of load variations on its performance. The 1.2 kW hybrid PV system has been proven to be effective, safe and reliable in the face of load variations. These findings support the potential implementation of hybrid PV systems as a future renewable energy solution in the electricity sector

Test Hybrid PV System Performance Against Load Variations Aripriharta, Aripriharta; Amin, Muhammad Adib; Sujito, Sujito; Faiz, Mohamad Rodhi; Bagaskoro, Muhammad Cahyo; Susilo, Suhiro Wongso; Omar, Saodah
Circuit: Jurnal Ilmiah Pendidikan Teknik Elektro Vol. 9 No. 1 (2025)
Publisher : PTE FTK UIN Ar-Raniry

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22373/crc.v9i1.23284

The depletion of fossil fuels has driven significant changes in the global electricity system. Solar Power Plants (PLTS) as a renewable energy source have shown the potential to contribute up to 25% of global electricity generation by 2050. The electricity system often experiences disturbances that can affect its performance and reliability. This study examines the performance of a 1.2 kW hybrid PV system under various load conditions. The system was tested with load variations of 2%, 7%, 22%, and 26% to assess its efficiency and performance. Despite a slight voltage drop of 4V Vac (-1.82%) at higher loads, the hybrid PV system consistently maintained a voltage range of 216-220V Vac, which meets the standard requirements. The system demonstrated high efficiency, averaging over 95%, with a peak efficiency reaching 98.5% at 2% load. These results confirm the effectiveness, safety, and reliability of the system under various load conditions. The findings are based on direct testing and measurements of a 1.2 kW hybrid PV system to evaluate the impact of load variations on its performance. The 1.2 kW hybrid PV system has been proven to be effective, safe and reliable in the face of load variations. These findings support the potential implementation of hybrid PV systems as a future renewable energy solution in the electricity sector

PERFORMANCE ANALYSIS OF MPPT-QHBM ON SOLAR PANEL SYSTEMS UNDER UNCERTAIN IRRADIATION CONDITIONS Susilo, Suhiro Wongso; Aripriharta, Aripriharta; Kusumawardana, Arya; Gumilar, Langlang; Afnan Habibi, Muhammad; Sujito, Sujito; Faiz, Mohamad Rodhi; Omar, Saodah
Jurnal Inovasi Teknologi dan Edukasi Teknik Vol. 5 No. 8 (2025)
Publisher : Universitas Ngeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar

The utilization of solar energy is an important solution in meeting renewable energy needs, especially in Indonesia which has high irradiation potential. However, photovoltaic (PV) systems face challenges in the form of irradiation fluctuations and partial shading effects that reduce efficiency. To overcome this, a reliable Maximum Power Point Tracking (MPPT) algorithm is needed. This study analyzes the performance of the Queen Honeybee Migration (QHBM) algorithm in tracking the maximum power point (MPP) under uncertain irradiation conditions in the Tulungagung region, using a Monte Carlo simulation approach. Simulations were conducted using MATLAB in two scenarios: standard conditions (1000 W/m²) and fluctuating conditions based on historical data. Results show that the QHBM achieves 99.98% efficiency with the fastest convergence time (5 iterations) under STC conditions, as well as an average efficiency of 98.99% (normal) and 97.86% (abnormal) under fluctuating conditions. In addition, the system successfully charged the battery, with SOC increasing by 0.038% (optimal) and 0.026% (volatile). The QHBM algorithm is proven to be adaptive to irradiation dynamics and superior to GWO, PSO, and P&O, making it a potentially effective solution for PV systems operating under changing irradiation conditions throughout the day

PANELIZED ELECTRICAL POWER OUTPUT MONITORING SYSTEM INTEGRATED SOLAR WEB SERVER Aripriharta, Aripriharta; Aprilia Putri , Annisa Firly; Afandi, Arif Nur; Omar, Saodah; Faiz, Mohamad Rodhi
Jurnal Inovasi Teknologi dan Edukasi Teknik Vol. 4 No. 11 (2024)
Publisher : Universitas Ngeri Malang

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In Indonesia, the duration of sunlight energy harvesting is around 7-8 hours perday. It is considered capable of generating electricity with photovoltaics (PV). Proper monitoring of solar panels can help identify and fix problems with solar panels. To overcome these problems, this research will develop a solar panel electrical power output monitoring system integrated with a Web Server using the Internet of Things that allows users to perform remote monitoring via smartphones and PCs. The method used in this research is the DevOps method. The results showed that the monitoring system of solar panel electrical power output integrated with Web Server runs well and can display data in real-time with a delay time of ± 0.50 ms. Furthermore, overall system testing was carried out from 08.00 to 16.00 with the maximum voltage and current generated of 5.13V and 0.176A. The efficiency value produced by the 10Wp solar panel is 94.16%.

TECHNO- ECONOMIC ANALYSIS OF SOLAR POWER PLANT SYSTEMS TO REALIZE SUSTAINABLE DEVELOPMENT GOALS (SDGS) Aripriharta, Aripriharta; Sari, Lia Yunita; Faiz, Mohamad Rodhi; Affandi, Arif Nur; Susilo, Suhiro Wongso; Rosmin, Norzanah Binti; Omar, Saodah
Jurnal Inovasi Teknologi dan Edukasi Teknik Vol. 4 No. 10 (2024)
Publisher : Universitas Ngeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar

Energy issues related to global warming, the environment, and energy flows are socio-economic challenges in the demand for electrical energy. The demand for electrical energy will increase by around 11-12% in 2025 and 6-7% by 2050 with the Indonesian State Electricity Company being the primary supplier of electrical energy which is mostly sourced from fossil fuels. Applying renewable energy is a solution to reducing dependence on fossil fuels. This study analyzes the technical and economic feasibility of a 46 kWp Solar Power Plant in Beloh village by utilizing PVsyst software. This hybrid system uses 184 solar panels with a capacity of 250 Wp, 2 units of 20 kW inverters, and 224 units of 100 Ah batteries. The results showed that the system output power is 189.25 kWh per day or 69077 kWh/year which will supply the load of 40 houses of 166.82 kWh/ day. In realizing the SDGs, solar power plants can apply SDG 7 with a Performance Ratio (PR) value of 75.7%, SDG 9 regarding industry, innovation, and infrastructure, SDG 11 related to sustainable cities and human settlements. This solar power plant is very environmentally friendly and can reduce carbon dioxide emissions by 1118 tons/25 years. This designed solar power plant system is accompanied by an economic analysis of Net Present Value (NPV) amounting to IDR 404,631,838. Payback Period in the 9th year, Break Even Point (BEP) achieved in the 8th year, and Return on Investment (ROI) of215%.

Optimization of distributed generation placement in distribution network based on queen honey bee migration algorithm Fachriyyah, Alif Dhurrotul; Aripriharta, Aripriharta; Sujito, Sujito; Prasetyo, Muchamad Wahyu; Bagaskoro, Muhammad Cahyo; Rosmin, Norzanah binti; Omar, Saodah; Horng, Gwo Jiun
Journal of Mechatronics, Electrical Power, and Vehicular Technology Vol 16, No 2 (2025)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/j.mev.2025.856

In this research, an optimal distributed generation (DG) placement method for radial distribution systems based on queen honey bee migration (QHBM) and backward forward sweep (BFS) is presented. The suggested approach makes it possible to evaluate DG placement options in terms of branch currents, voltage profiles, and active power losses in a physically consistent manner. DG units are characterized as photovoltaic-based sources operating at unity power factor using an explicit net load formulation at the bus level, ensuring a clear interplay between DG injection and current-based load flows. Throughout the optimization process, a constraint-aware migration technique is employed to explicitly impose voltage limitations with the goal of minimizing overall active power losses while maintaining bus voltage magnitudes within allowable bounds. The proposed method was tested on an IEEE 69-bus radial distribution system to evaluate its performance. The results show that the placement of three DG units with a total installed capacity of approximately 2600 kW at buses 61, 64, and 17 produces a significant improvement in network operation. Under this arrangement, active power losses drop markedly from 224.4419 kW in the base condition to 72.7840 kW, corresponding to a reduction of 67.6 %. At the same time, the lowest bus voltage rises from 0.9104 p.u. to 0.9931 p.u., while voltage levels across the network consistently remain within the allowable range of 0.95–1.05 p.u. The study's findings suggest that QHBM-BFS can be used as a trustworthy and useful method for figuring out where DG should be placed in radial distribution systems.

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