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Mochammad Apriyadi Hadi Sirad
Contact Email
ijeeic.unkhair@gmail.com
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+6282292852552
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ijeeic.unkhair@gmail.com
Editorial Address
Departement of Electrical Engineering, Faculty of Engineering, Universitas Khairun, Address: Yusuf Abdulrahman No. 53 (Gambesi) Ternate City - Indonesia
Location
Kota ternate,
Maluku utara
INDONESIA
International Journal of Electrical Engineering and Intelligent Computing
Published by Universitas Khairun
ISSN : -     EISSN : 30315255     DOI : 10.33387/ijeeic
Core Subject : Science, Engineering,
Computer Science & IT Electrical & Electronics Engineering Energy
International Journal of Electrical Engineering and Intelligent Computing, E-ISSN : 3031-5255 is an official publication of the Universitas Khairun. The IJEEIC is an international journal is a peer-reviewed open-access. The IJEEIC that has been published online since 2023.
Arjuna Subject : Teknik (semua kategori) - Teknik Listrik dan Elektro
Articles 24 Documents
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Prediction of the Number of Motorized Vehicles in Ternate City Using the Average Based Fuzzy Time Series Model Method Friyanti Friyanti; Iis Hamsir Ayub Wahab; Arbain Tata
International Journal Of Electrical Engineering and Inteligent Computing Vol 1, No 2 (2024): International Journal Of Electrical Engineering And Intelligent Computing
Publisher : Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/ijeeic.v1i2.9110

Abstract

Prediction or forecasting is one of the most important elements in decision-making. The impact caused is the number of motorized vehicles, residents, roads, and area area. By predicting the number of motor vehicles, the prediction data can be used from a program to reduce the impact of a high number of motor vehicles. This study aims to determine the Prediction of the Number of Motorized Vehicles in Ternate City using the Average Based Fuzzy Time Series Model Method in Ternate City from 2019 to 2024. Settlement using Average Based Method data and fuzzy time series interval numbers have been determined at the beginning of the calculation process, this process is very influential in the formation of fuzzyrelationship on each number to compare each other which will certainly have an impact on the difference in the results of the reduction calculation. The test results are known that the Fuzzy time series is one of the methods for prediction. One type of method is the average-based fuzzy time series with the average total value calculated using the Mean Absolute Percentage Error (MAPE) method obtained from the number of each indicator of 2.98% which shows that this study is included in the category of good used in the prediction of motor vehicles in Ternate City because it has an accuracy value of less than 20%. From the predictions carried out, the MAPE value of the test was 1.01%, the MSE value of forecasting was 1400.5, and the MAD value of forecasting was 27.93.
Coordinated WECS–BESS Control for Frequency Resilience Enhancement in Low-Inertia Power Systems Andi Syarifuddin; Muhammad Naim; Amelya Indah Pratiwi
International Journal Of Electrical Engineering and Inteligent Computing Vol 3, No 1 (2025): International Journal Of Electrical Engineering And Intelligent Computing
Publisher : Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/ijeeic.v3i1.11314

Abstract

The growing dominance of power-electronics–interfaced renewable resources, particularly wind energy conversion systems (WECS), has led to a substantial reduction in system inertia, posing significant challenges to frequency resilience in modern power grids. Previous national-scale studies on a 23-bus equivalent transmission system have highlighted degraded dynamic performance under high wind penetration; however, active mitigation strategies were not incorporated. This paper extends that work by developing and validating a coordinated control framework combining virtual inertia and adaptive droop mechanisms implemented on Battery Energy Storage Systems (BESS) and DFIG-based WECS. A modified IEEE 23-bus model, scaled from the scaled to represent a national transmission grid, is simulated in MATLAB/Simulink to evaluate performance under various wind penetration and fault conditions. Simulation results demonstrate that the proposed coordinated control improves transient frequency resilience reducing the rate of change of frequency (RoCoF) by up to 38%, increasing frequency nadir by 0.43 Hz, and accelerating voltage recovery within grid-code limits. The MATLAB/Simulink workflow provides a reproducible validation platform for coordinated grid-forming strategies. The proposed approach effectively addresses the low-inertia limitation identified in the previous study and establishes a scalable framework for future techno-economic optimization and hybrid renewable integration in national power systems.  
Overload Protection and Electricity Volume Monitoring on Internet of Things (IOT)-Based Three-Phase Induction Motors Ramly Rasyid; Miftah Muhammad; Mochammad Apriyadi Hadi Sirad
International Journal Of Electrical Engineering and Inteligent Computing Vol 2, No 1 (2024): International Journal Of Electrical Engineering And Intelligent Computing
Publisher : Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/ijeeic.v2i1.9711

Abstract

The protection and monitoring of the amount of electricity in three-phase induction motors that are widely used in the industry needs to be carried out continuously so that the performance of the motor continues to run well and if there is a disturbance, it can be known early. The purpose of the research to be carried out is to make a device to protect and monitor the amount of electricity of a three-phase induction motor based on the Internet of Things (IoT) and see the performance of the device. From the results of the overload protection test with the three-phase induction motor load current indicator, it can be seen that when the motor is loaded until the current rises at the R phase of 1.23 A, the S phase 1.31 A, and the T phase 1.24 A, which means that the maximum current of the induction motor is exceeded by 0.401 A as the relay works to protect the induction motor. As for the calculation of the measurement error presentation, it can be seen that for the error presentation, the voltage measurement ranges from 0.001% to 0.088%, current 0.001% to 3.509%, power factor 0.433% to 4.438%, apparent power 0.020% to 3.774%, active power 0.149% to 4.904%, and reactive power 0.008% to 4.455%.  The tool that is made works well because the protection runs well and the error presentation is below 5%. 
Performance Visualization of Southbound Interface in Software Defined Networking Fahrizal Djohar; Eueung Mulyana; Suciana Suciana; Andi Muhammad Ilyas; Muhammad Natsir Rahman; Achmad Prajudin Sardju
International Journal Of Electrical Engineering and Inteligent Computing Vol 1, No 1 (2023): International Journal of Electrical Engineering and Intelligent Computing
Publisher : Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/ijeeic.v1i1.6926

Abstract

Software Defined Networking (SDN) makes Internet network configuration easier by separating the control plane and data plane. The control plane on the controller has information on network devices in the data plane and centrally control these devices. One of the controllers in SDN being developed is the Open Network Operating System (ONOS). ONOS provides interfaces such as Representational State Transfer (REST) Application Programming Interface (API). The ONOS core REST API provides some information from the network connected to it, such as devices, statistics, and the information in JSON file. The primary objective of this study is to develop an interface that simplifies performance monitoring through graphical representation. This involves testing the visualization with various topologies and conducting a comparative analysis of the visualization results across these topologies. The creation of the interface entails presenting statistical data, available in the form of a JSON file from the ONOS controller via the REST API, on the web interface in graphical format. The resulting visualization generates a graph that aligns with the performance characteristics of each topology, reflecting device details, ports, and additional parameters such as the count of sent and received packets, as well as sent and received bytes. The performance visualization outcomes specific to each topology are consistent with the number of connections and are prominently displayed on the web interface. Additionally, this research evaluates network throughput and bandwidth by sending ICMP packet and iperf tests across each topology. Among all the openflow tests performed on various network topologies, it was observed that the tree topology exhibited the lowest network capacity utilization, followed by the leaf-spine topology, and finally the ring topology.

Page 3 of 3 | Total Record : 24

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