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Mochammad Apriyadi Hadi Sirad
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ijeeic.unkhair@gmail.com
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Departement of Electrical Engineering, Faculty of Engineering, Universitas Khairun, Address: Yusuf Abdulrahman No. 53 (Gambesi) Ternate City - Indonesia
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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
 1   2   3 
Proposed method for digital image normalisation Omar Muayad Abdullah
International Journal Of Electrical Engineering and Inteligent Computing Vol 2, No 2 (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.v2i2.10096

Abstract

Image normalisation is considered as an important factor in the scope of image enhancement. In this research paper we introduced a proposed model used for image normalisation (contrast stretching) through two phases, design phase and implementation phase. First, the design phase consists of the proposed formulas used for processing the degraded images, where the first formula represents the processing of the darked image illuminations and the second one represents the processing of the highlighted image illuminations, the second part of the design phase we determined which formula has to be used for processing the image degradation. So here for processing this part, we used a K-means clustering machine learning algorithm. The second part is the implementation phase which is used for applying the proposed model and the final step comparing the obtained results with other determined normalisation algorithms.
Smart Parking based on Car Detection using Deep Learning YOLOv8 Waluyo Nugroho; Afianto Afianto; Mada Jimmy Fonda Arifianto
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.v2i1.8692

Abstract

In the context of rapidly growing urbanization, the need for efficient parking management solutions is becoming increasingly urgent. This research develops and implements a car detection system based on YOLOv8 (You Only Look Once Version 8) for smart parking applications using Raspberry Pi and the Node-RED platform. This system is designed to optimize the use of parking spaces and increase parking management efficiency by utilizing YOLO's real-time object detection capabilities. Data processed by the Raspberry Pi is sent to the Node-RED platform for Internet of Things (IoT) via MQTT protocol. Node-RED functions as a management and visualization system, allowing users to monitor parking status in real-time through an intuitive graphical interface. With Node-RED, users can find out which parking lots are full and which areas are still available.
The Real Time Monitoring System and Early Detection of Unbalanced Load for the Three Phase Distribution Systems in Urban Areas Syarifuddin Nojeng; Arif Jaya; Reny Murniati
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.v1i1.5623

Abstract

This paper introduces a three-phase unbalanced load condition monitoring system in a power distribution network that can monitor and provide early warning. The distribution system is a component of the power system that must always be observed in maintaining the service of delivering electricity to customers. Currently, many technologies are applied to the distribution system that can ensure the operation of the distribution network, especially distribution transformers to determine real-time transformer conditions so that damage and power losses can be minimized, but do not provide early detection. Therefore, the role of information technology is currently one of the investments that must be made for all electric power supply operators in maintaining the performance of distribution transformers through early detection. In this study, the system developed based on Internet of Things (IoT) technology that was built consists of: embedded system devices that function to carry out measurements and transmit data, Web Service software that functions to receive data from sensor systems, and Arduino-based software using the Blynk Cloud application platform in presenting data and managing data through Android display devices (HP/Laptop). The Blynk is a compatible platform for applications on Mobile OS (iOS and Android) in controlling Arduino, Raspberry Pi, or ESP8266-based modules, as well as similar modules via the Internet (IoT). This system was built to provide an early warning function against network parameter anomalies such as overload, overvoltage, and unbalanced load. After getting the data, the system will perform calculations to obtain recommendations for system optimization in the form of balancing, maintenance, or load maneuver. Based on testing, the time needed to send and receive notifications on smartphone users via the blynk application ranges from 3-4 seconds. By setting a tolerance limit of 20%, when the load is severely unbalanced where the neutral current is almost equal to or greater than the phase current, the local indicator light will light up and the Android system will provide an unbalanced load indicator.
Robust Beamforming Design Under Statistical Channel Knowledge for Multi-User Radar Communication Systems Saidah Suyuti; Respaty Namruddin; Abdullah Basalamah
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.v3i1.11310

Abstract

The simultaneous operation of radar and communication systems over the same frequency band causes severe mutual interference, especially in multi-user multiple-input multiple-output (MIMO) scenarios. Most existing radar–communication coexistence schemes rely on instantaneous channel state information, which is difficult to acquire accurately in fast-varying environments and leads to high signaling overhead and computational complexity. This paper investigates a robust joint beamforming framework for multi-user MIMO radar–communication coexistence systems based exclusively on statistical channel state information. The objective is to improve the achievable ergodic sum rate of communication users while preserving radar operational requirements under transmit power and coexistence constraints. By exploiting long-term channel statistics and large-system analysis, a deterministic approximation of the ergodic sum rate is derived, enabling low-complexity beamforming design without requiring instantaneous channel knowledge. To address imperfections in statistical CSI estimation, a worst-case robust optimization framework is developed, and an efficient alternating optimization algorithm is proposed. Simulation results demonstrate that the proposed robust beamforming scheme significantly outperforms non-robust statistical-CSI-based approaches, achieves performance close to instantaneous-CSI-based benchmarks, and maintains robustness against statistical CSI uncertainty while effectively managing the trade-off between communication performance and radar interference.
Recommendation systems: A Review Zaid Mundher
International Journal Of Electrical Engineering and Inteligent Computing Vol 2, No 2 (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.v2i2.9956

Abstract

Recommendation systems have become one of the most widespread types of systems today, as they have become a necessity and a need. Recommendation systems can be defined as methods for presenting or marketing electronic products (in various forms) to users, with the selection of products based on the user's actual needs. This is achieved through the use of specific algorithms and methods to gauge the user's interest in the suggested products. Recently, the applications of recommendation systems have expanded beyond a single field or aspect, extending into many areas of life and science. Many methods have been developed and improved for building recommendation systems from naive to advanced ones.This study aims to provide a comprehensive overview of recommendation systems: definitions, objectives, and types, including the advantages and disadvantages of each type.
Sea Water Distillation Design Using Renewable Energy for Drinking Water Andi Muhammad Ilyas; Yuliana Yuliana; Muhammad Natsir Rahman; Mochammad Apriyadi Hadi Sirad; Fahrizal Djohar; Md Hasanuzzaman; Zulaeha Mabud
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.v1i2.7346

Abstract

The increase in drinking water needs in Ternate City is ttriggered by very rapid population growth. Population growth has resulted in the conversion of forests into housing which has resulted in reduced water catchment areas. In the end, several locations experienced a decline in water quality from fresh to brackish. To overcome the decline in the volume and quality of clean water, a plan is being made to distill sea water into fresh water. The method used in this research is the experimental method. Solar desalination is a process where solar energy is utilized to putify the fresh water from saline/brackish water for drinking purposes, in charging of the batteries, research laboratories. Experimental results with a distillation flow area of 325 cm with an average volume of 43.7 ml. Tests with a distillation drain area of 650 cm produced 76.0 ml of fresh water. Experiments with a distillation flow area of 975 cm produced an average of 106.3 ml of fresh water. The effectiveness of distillation occurs at the widest drainage. The price of fresh water per milliliter is IDR 1.41 cheaper than bottled water, namely IDR. 6.66 per milliliter. The results of research on the salinity of salt water to fresh water show that the salinity of salt water is 35 ppt, while the salinity of distilled water is 0, this shows that the result of distillation is fresh water that can be consumed.
Symbiotic Organism Search Based on Sensitivity Factor for Optimal Location and Sizing of Distributed Generation Iswan Iswan; Umar Umar; M Natsir Rahman; Suparman Suparman; Muhammad Said; Faris Syamsuddin; Dharmawan Dharmawan; Andi Syarifuddin
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.v3i1.9716

Abstract

The technology of Distributed Generations (DGs) has attracted the focus of researchers and engineers over the past two decades as an effective solution to address power quality and supply issues for customers. Determining the optimal locations and sizes for DGs remains a significant challenge. This study explores the optimization of DG placement and sizing to reduce power losses in radial distribution systems. The Loss Sensitivity Factor (LSF) is used to identify suitable locations for DGs, while Symbiotic Organisms Search (SOS) is utilized to determine their capacities. Simulation results using three DGs on the IEEE 33-bus distribution system indicate that this approach can reduce active power losses by 67.66%.
Personal Tool for Protection on the Net Yasir Ali Mahmood
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.v2i1.9105

Abstract

Every time a computer device connects to the Internet it is at risk. Data theft is one of the threats facing computers when they connect to the Internet. For a computer to connect to the Internet, it needs an IP address and a port address to send and receive data. When the data reaches the computer via a port, it needs to reach the process that requested this information, which is linked to that port. A process does all the internet connections by the compute. These processes need an approach to send and receive information, which is the ports themselves. The attacker uses this port to make a connection to the victim's computer to steal information. In such situations, support is crucially needed to prevent these attacks from affecting our system. This work develops a personal tool for helping users to protect themselves from external attacks. The proposed tool monitors the open ports and shows all the information about the processes that are used. The proposed tool can close the open port, kill the process associated with it, and delete the process. When closing this port, the attacker cannot have access to the victim's computer. The findings show that the proposed tool is highly efficient when it comes to computer protection. The experimental results also demonstrate that the features of the tool can be tuned to fit users’ interest.
Planning Analysis of the Utilization of Ocean Currents as a Power Plant Using Gorlov Turbines in the Botang Lomang District, South Halmahera Regency Idham A Djufri
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.v1i1.6968

Abstract

Electrical energy is a basic need of the community and supports aspects of national life and development, including improving living standards. Indonesia actually has the potential for new renewable energy sources in large quantities. Ocean current energy is one of the renewable energy whose existence is continuous and environmentally friendly. One of the potential energy of ocean currents is in the Botang Lomang District Area. This study aims to determine the amount of power generated from the potential of ocean currents. The minimum average speed at a depth of 10 meters is (0.21 m/s) and the maximum is (1.26 m/s). And the minimum average speed at a depth of 20 meters is (0.28 m/s) and maximum (1.67 m/s). The power obtained from the minimum and maximum ocean current speeds at a depth of 10 meters is 252 Watts to 54.654 kW. While the power obtained from the minimum and maximum sea current speeds at a depth of 20 meters is 599 Watts to 127,252 kW.
Comparative Performance Analysis of VANET Routing Protocols under Dynamic Node Mobility Fahrizal Djohar; Hafid Syaifuddin; Dharmawan Dharmawan
International Journal Of Electrical Engineering and Inteligent Computing Vol 2, No 2 (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.v2i2.10058

Abstract

Vehicular Ad Hoc Networks (VANETs) face significant challenges in maintaining reliable communication due to high node mobility and frequent topology changes. This study evaluates the throughput performance of two routing protocols—one proactive and one reactive—under varying speed scenarios using the NS-3 simulator. Simulations were conducted in an area with node speeds set at 10 m/s (36 km/h) and 20 m/s (72 km/h). NetAnim was used to visualize node movement and routing behavior. The results show that the reactive protocol outperforms the proactive protocol in high-mobility scenarios by maintaining higher throughput and reducing routing overhead. These findings highlight the importance of selecting routing protocols that adapt effectively to different mobility conditions in VANETs, contributing to the design of more efficient vehicular communication systems.

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