Article Per Year (5 Year)
p-Index From 2021 - 2026
2.147
P-Index
This Author published in this journals
All Journal Transmisi: Jurnal Ilmiah Teknik Elektro TRANSIENT: Jurnal Ilmiah Teknik Elektro JURNAL NASIONAL TEKNIK ELEKTRO Sistemasi: Jurnal Sistem Informasi ILKOM Jurnal Ilmiah Jurnal Tecnoscienza Jurnal Teknologi Elekterika International Journal of Hydrological and Environmental for Sustainability International Journal of Electrical Engineering and Intelligent Computing
Hariani M. Pakka
Universitas Muslim Indonesia
Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Environmental Science Mathematics Other

Published : 13 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 13 Documents
Search

 1   2 
Expert System Implementation of the Certainty Factor Method for Smartphone Damage Diagnosis Syahrul Mubarak Abdullah; Hariani Ma'tang Pakka; Andi Syarifuddin; Ahmed Saeed Alghamdi
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.v1i2.7810

Abstract

Android smartphone is currently one of the most extensively utilized operating systems. Nevertheless, Android devices are susceptible to issues such as Ic Emmc, Ic Power, software malfunctions, Blank Screen, Hang, complete device malfunction, and boot loop. Prompt intervention is crucial when a smartphone experiences a problem to prevent more harm and safeguard the user. The Certainty Factor (CF) accounts for the inherent uncertainty in an expert's analysis. Expressions such as "uncertain," "highly probable," "likely," "very likely," "almost certain," and "certain" are frequently employed in this context. This study employed a manual questionnaire to assess the efficacy of the expert system in identifying malfunctions in Android devices. All five technicians and all five user respondents expressed significant agreement about the reliability of the expert system in the questionnaire, and the black box test yielded a perfect 100% success rate. Through accuracy testing, using 10 samples of expert analysis data and 10 samples of system data, it was determined that the expert system achieved an 80% accuracy rate in generating diagnostic conclusions based on the tested data.
Hybrid Systems for Energy Distribution and Telecommunication Reliability in Smart Grids Saidah Sayuti; Hariani Ma'tang Pakka; Andi Syarifuddin; Muhammad Yusuf Mappeasse; Widya Wisanty
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.v2i1.9520

Abstract

The integration of energy distribution systems and telecommunication networks is crucial for improving the reliability, efficiency, and scalability of smart grids. However, challenges such as electromagnetic interference (EMI), latency, and fault tolerance complicate seamless operation. This study proposes a hybrid framework using MATLAB/Simulink to model and simulate energy distribution, real-time monitoring, and fault detection in high-voltage environments. The simulation framework consists of a high-voltage energy distribution network modeled with multiple buses, transformers, and distributed renewable energy sources. IoT-based sensors are strategically placed at critical nodes to collect real-time voltage and current data, which are transmitted via 5G communication protocols using the MQTT messaging standard. Fault detection is performed using an AI-driven Support Vector Machine (SVM) algorithm, trained with historical fault data to detect anomalies and classify fault types with high accuracy. The simulation environment integrates power flow analysis, real-time fault detection mechanisms, and communication latency assessment to evaluate system performance. Key findings demonstrate up to 92.8% energy efficiency with 60% renewable energy penetration, fault recovery times reduced to 35 ms through AI-based detection, and communication latency maintained below 15 ms for IoT-based monitoring. These results validate the proposed framework’s ability to address critical challenges in smart grids, including EMI mitigation, fault tolerance, and system scalability. This research bridges the gap between energy distribution and telecommunication systems, offering a scalable and sustainable solution for smart grid optimization.
Enhancement of Generator Contribution Allocation Using Power Tracing Approaches in Deregulated Power Systems Syarifuddin Nojeng; Muhammad Nawir; Reny Murniati; Hariani Ma’tang Pakka; 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.v3i1.11304

Abstract

The implementation of transmission open access in deregulated power systems requires transparent and equitable allocation of transmission usage among market participants. A key challenge is determining the actual contribution of individual generators to transmission line flows, particularly in meshed networks where loop flows and counterflows occur. Although power tracing based allocation methods are widely adopted due to their conceptual simplicity, classical approaches often fail to accurately represent generator responsibility under such conditions. This paper presents a comparative evaluation of generator contribution allocation using three representative power tracing approaches: the Bialek proportional sharing method, the Extended Incidence Matrix (EIM) approach, and the Generalized Generation Distribution Factor (GGDF) based method. A unified DC power flow–based analytical framework is employed to ensure consistent assessment in a deregulated transmission environment. A standardized 6-bus test system is used to illustrate the differences among the examined approaches. The results show that proportional tracing methods allocate only positive contributions, whereas the GGDF-based formulation is able to capture counterflow effects through negative contribution values. The findings provide useful insights for transmission usage allocation and congestion-related applications in deregulated electricity markets.
Co-Authors A. Ulfah Tenripada Abdullah, Syahrul Mubarak Abdurrahman, Tanridio Silviati Delfina Ahmed Saeed AlGhamdi Ahmed Saeed Alghamdi Al Ghamdi, Ahmed Saeed AlGhamdi, Ahmed Saeed Amelya Indah Pratiwi Amelya Indah Pratiwi Andi Syarifuddin Andi Syarifuddin Andiyan As'ad, Ihwana Azis, Andi Adillah Firstania Eren, Halit Fahmi Fahmi Faradibah, Amaliah Halit Eren Hartono, Sriwijanaka Yudi Husain, Fadel Muhammad Ihwana As’ad Jamaluddin Jamaluddin Joemsittiprasert, Watcharin Masa, M. Anas Masa, Muhammad Anas Muhammad Arfah Asis Muhammad Nawir Muhammad Yusuf Mappeasse Nawir, Alfian NUR FADLIAH BASO Prasetyawati Umar, Emi Putra, Irfan Pratama Rahmatullah, Andi Muhammad Randi Mursalim Reny Murniati Saidah Sayuti Saidah Suyuti Salmiah Salmiah Syahrul Mubarak Abdullah Syarifuddin Nojeng Tappa, Nurfadhilah Sam Umar Umar Wisanti, Widya Yusnita binti Muhamad Noor