Article Per Year (5 Year)
p-Index From 2020 - 2025
1.497
P-Index
This Author published in this journals
All Journal JURNAL SURYA ENERGY Jurnal Gema Ngabdi Journal of Robotics and Control (JRC) Jurnal Abdimas Komunikasi dan Bahasa Jurnal Teknik Elektro
Hurairah, Muhammad
Unknown Affiliation
Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Environmental Science Languange, Linguistic, Communication & Media Mechanical Engineering Social Sciences

Published : 11 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : Journal of Robotics and Control (JRC)

 1 
Path Loss Propagation Evaluation and Modelling based ECC-Model in Lowland Area on 1800 MHz Frequency Alfaresi, Bengawan; Barlian, Taufik; Ardianto, Feby; Hurairah, Muhammad
Journal of Robotics and Control (JRC) Vol 1, No 5 (2020): September
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.1534

Abstract

Propagation modeling is the most important part of mobile wireless network planning. Wireless network planning requires an accurate calculation of the path, which depends on different environmental conditions. It requires accurate path loss modeling of the characteristics of a specific region. The study aimed to obtain a path loss propagation model by modifying the ECC model and using linear, logarithmic regression in lowland areas. The measurement used drive test method, located in the Jakabaring area that represented the lowland area. This research used four existing path loss models, namely Okumura-Hatta, COST-Hatta, Ericsson Model, and ECC Model. It was found that the Okumura-Hatta model had the largest RMSE value, 34.90, followed by the Ericsson model, 27.07, while the ECC model had the smallest RMSE value, 8.43. The ECC model required to be modified using logarithmic, linear regression to obtain the proposed model. The results of the evaluation showed that the proposed model improved with RMSE 4.93, MAPE 2.71, and MAD 3.91, whereas the values of the existing ECC Model before modification were 8.43 for RMSE, 4.72 for MAPE and 7.09 for MAD. The proposed model provided an accurate prediction of the path loss propagation in a lowland environment. The results of the study can be used for planning engineers to plan, design, and implement the wireless communication networks in lowland area conditions.
Path Loss Propagation Evaluation and Modelling based ECC-Model in Lowland Area on 1800 MHz Frequency Bengawan Alfaresi; Taufik Barlian; Feby Ardianto; Muhammad Hurairah
Journal of Robotics and Control (JRC) Vol 1, No 5 (2020): September
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.1534

Abstract

Propagation modeling is the most important part of mobile wireless network planning. Wireless network planning requires an accurate calculation of the path, which depends on different environmental conditions. It requires accurate path loss modeling of the characteristics of a specific region. The study aimed to obtain a path loss propagation model by modifying the ECC model and using linear, logarithmic regression in lowland areas. The measurement used drive test method, located in the Jakabaring area that represented the lowland area. This research used four existing path loss models, namely Okumura-Hatta, COST-Hatta, Ericsson Model, and ECC Model. It was found that the Okumura-Hatta model had the largest RMSE value, 34.90, followed by the Ericsson model, 27.07, while the ECC model had the smallest RMSE value, 8.43. The ECC model required to be modified using logarithmic, linear regression to obtain the proposed model. The results of the evaluation showed that the proposed model improved with RMSE 4.93, MAPE 2.71, and MAD 3.91, whereas the values of the existing ECC Model before modification were 8.43 for RMSE, 4.72 for MAPE and 7.09 for MAD. The proposed model provided an accurate prediction of the path loss propagation in a lowland environment. The results of the study can be used for planning engineers to plan, design, and implement the wireless communication networks in lowland area conditions.
Co-Authors Adi Candra, Adi Andini, Puput Ardianto, Feby Asri Indah Lestari Azis, Ichwanudin Bengawan Alfaresi Eliza Eliza Feby Ardianto Fitria, Savira Ananda Noverianty, Rika Oktaviani Anwar, Wiwin A Pratama, Febrian Arif Purnanto, Arif Wiyat Riyanto, M. Mirza Savitri, Nina Sofiah Sofiah Taufik Barlian Yosi Apriani, Yosi Yujian, Saldes