Article Per Year (5 Year)
p-Index From 2019 - 2024
0.835
P-Index
This Author published in this journals
All Journal Journal of Telecommunication Control and Intelligent System Jurnal Pengabdian dan Pemberdayaan Masyarakat Indonesia
Israa Al_barazanchi
Baghdad College of Economic Sciences University, Baghdad - Iraq
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Mathematics Public Health Social Sciences

Published : 5 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : Journal of Telecommunication Control and Intelligent System

 1 
Particle Swarm Optimization Algorithm Based Optimization of Steam Turbine Generator and Gas Turbine Generator at Pt. Sriwidjaja Fertilizer Wiwin A. Oktaviani; Taufik Barlian; Azizul Muttaqin; Israa Al_barazanchi; Irfan Ahmad
Journal of Telecommunication Control and Intelligent System Vol. 1 No. 3 (2021): Monograph Book of Intellegent System
Publisher : PTTI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/jtcis.v1i3.34

Abstract

Electricity needs at PT. PUSRI is currently generated by four main generating units in the form of a Gas Turbine Generator (GTG). The three power plants are PUSRI-II (2006-J), PUSRI-III (3006-J), PUSRI-IV (4006-J) each with a capacity of 21.588kVA. PUSRI-IB (5006-J) with a capacity of 26.65kVA. Each unit is operated in parallel via a 13.8 kV syncronizing bus. However, for reasons of generator efficiency at PT. PUSRI with gas costs that are quite expensive will gradually be replaced by a Steam Turbine Generator – Coal (STG-BB) generator. The contribution of this paper uses the Particle Swarm Optimization (PSO) algorithm to find the optimum output (MW) from each generating unit. The results of the PSO calculation provide a better solution performance compared to the real system with the same generated power variation, namely 34.25 (MW) to 37.63 (MW). The cost savings obtained from the comparison between the PSO method and the real output of the system is Rp. 5,180.509 at load 34.25 (MW) and Rp. 6,416.864 at 37.63(MW) load.
Research Methodology Design for WBAN Smart System Connection to Control Covide19 Patients Remotely Israa Al_barazanchi; Haider Rasheed Abdulshaheed; Wahidah Hashim; Ammar Ahmed Alkahtani; Rina Azlin Razali; Elika daghighi; Zahraa A. Jaaz; Shihab A. Shawkat
Journal of Telecommunication Control and Intelligent System Vol. 1 No. 1 (2021): Monograph Book of Telecommunications
Publisher : PTTI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/jtcis.v1i1.45

Abstract

The main objective of any research is to find a solution that helps solve a certain problem or improve the performance of the current solution. Therefore, sufficient justification of the study should be presented as there must be a specific problem to try to resolve it. The second objective is to prove that the research methodology developed as a proposal to solve the problem, and which is expected to achieve the results with the participation of an active contribution in this field There are two types of research methodology available, the stander and specific. The stander methodology includes the V-Shaped methodology, Design Research Methodology (DRM), and spiral methodology; Therefore, the research methodology used by this research will be scientific and relevant to cover the scientific aspects from the beginning of the work to the end. The proposed smart system will be tested using the simulation environment and will be validated by comparing the results obtained with the existing research to prove the proposed smart system called as IKS is able to increase the network performance in WBAN. The analysis of the network performance was implemented in real WBAN dataset and used the Multi-Parameter Intelligent Monitoring for Intensive Care (MIMIC) database. MIMIC database included the data recorded from 90 Intensive Care Unit (ICU) patients
Co-Authors Adhianty Nurjanah Alfian Ma’arif Ammar Ahmed Alkahtani Azizul Muttaqin Denny Hardiyanto Dhiya Uddin Rijalusalam Dhiya Uddin Rijalusalam Dyah Anggun Sartika Elika daghighi Haider Rasheed Abdulshaheed Irfan Ahmad Iswanto Suwarno Muhammad Abdus Shomad Nia Maharani Raharja Rachmad Andri Atmoko Rina Azlin Razali Samuel Kristiyana Sashikala Mishra Shihab A. Shawkat Taufik Barlian Wahidah Hashim Wiwin A. Oktaviani Zahraa A. Jaaz