Article Per Year (5 Year)
p-Index From 2020 - 2025
2.691
P-Index
This Author published in this journals
All Journal International Journal of Electrical and Computer Engineering TELKOMNIKA (Telecommunication Computing Electronics and Control) Bulletin of Electrical Engineering and Informatics ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Jurnal Elektronika dan Telekomunikasi FIRM: Journal of Management Studies eProceedings of Engineering
Nasrullah Armi
Telkom University
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Social Sciences

Published : 28 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : Bulletin of Electrical Engineering and Informatics

 1 
Random sample consensus-based room mapping using light detection and ranging Latukolan, Merlyn Inova Christie; Pramudita, Aloysius Adya; Armi, Nasrullah; Hamdani, Nizar Alam; Susilawati, Helfy; Satyawan, Arief Suryadi
Bulletin of Electrical Engineering and Informatics Vol 13, No 6: December 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v13i6.6932

Abstract

Light detection and ranging (LiDAR) is a high-accuracy data source for geospatial providers that is displayed in two dimensions (2D) or three dimensions (3D). It is used to measure the distances or 2D or 3D maps of the environment. This study examines a random sample consensus (RANSAC)-based room mapping approach utilizing LiDAR. The RANSAC is used to achieve line fitting as a solution to acquire missing or incomplete point cloud data during the process of room scanning. The maximum x-y distance is proposed to achieve a proper model to fix the missing line during the LiDAR scanning process. Data retrieval uses ground-based LiDAR located in the middle of a certain room with the dimension of 5.76×4.95 m2. To explore a room mapping, a 2D LiDAR YDLIDAR G4 with an operating frequency of 7 Hz is used. The derived raw data is then visualized with MATLAB. The results show that the RANSAC can perform line-fitting for missing or illegible LiDAR point cloud data during the scanning process due to reflection or obstacles. The increase in the amount of data used is then directly proportional to the probability of the number of correct models.
A new approach to joint resource management in MEC-IoT based federated meta-learning Samafou, Faustin; Amine Adoum, Bakhit; Abba Ari, Ado Adamou; Marius Fidel, Faitchou; Moungache, Amir; Armi, Nasrullah; Mourad Gueroui, Abdelhakh
Bulletin of Electrical Engineering and Informatics Vol 13, No 5: October 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v13i5.7993

Abstract

MEC and IoT are rapidly expanding technologies that offer numerous opportunities to enhance efficiency and application performance. However, the huge volume of data generated by IoT devices, coupled with computational and latency constraints, poses data processing challenges. To address this within the MEC architecture, deploying computing servers at the network edge near IoT devices is a promising approach. This reduces latency and traffic load on the core network while improving the user experience. However, offloading computations task from IoT devices to MEC servers and efficiently allocating computing resources is a complex problem. IoT tasks may have specific requirements in terms of latency, bandwidth and energy efficiency, while computing resources and capacities maybe limited or shared between several users. We propose an approach called FedMeta2Ag, which we evaluate using the MNIST database. With 20 epochs, the training accuracy reached 91.5%, while the test accuracy achieved 92.0%. Performance consistently improved during the initial 20 iterations and gradually stabilized thereafter. Additionally, we compared the performance of our proposed model with existing methods, finding that our approach outperforms existing models in predicting performance more accurately. Thus, this approach effectively meets the demanding performance requirements of wireless communication systems.
Co-Authors Abba Ari, Ado Adamou Achmad Ali Muayyadi Adam Kusumah Firdaus Agus Subekti Agus Subekti Alfaqih, Muhammad Subhan Aloysius Adya Pramudita Alsha, Nando Irawan Amine Adoum, Bakhit Aminuddin Rizal Andri Fachrur Rozie Andria Arisal Angga Wijaya Anto Satriyo Nugroho, Anto Satriyo Arie Setiawan Arief Suryadi Satyawan Armanda, Ridho Arumjeni Mitayani Aryanti, Evy Aryanti Asih Setiarini Asmail, Asmail BAYU ANGGA, BAYU Bin Ali Wael, Chaeriah Budi Prawara Budiman Putra Asmaur Rohman Chaeriah Bin Ali Wael Chaeriah Bin Ali Wael Dayat Kurniawan Dayat Kurniawan Dayat Kurniawan Dharu Arseno DWI ARYANTA Estiningtyas, Aurellia Kartika Fajri Darwis Ferianasari, Inneke Winda Fiky Y. Suratman Galih Nugraha Nurkahfi Ghifary, Hilmi Rifa Hamdani, Nizar Alam Hana Arisesa Helfy Susilawati HENDRY CAHYO, HENDRY Hi Rauf, Siti Nuraini Indrawijaya, Ratna Isnanta, Rafif Tian Latukolan, Merlyn Inova Christie Lestari, Wina Ayu Marius Fidel, Faitchou Mochamad Mardi Martadinata Montolalu, Ivan Adrian Moungache, Amir Mourad Gueroui, Abdelhakh Muayyadi, Achmad Aly Muhamad Fauzan Muhammad Irfan Alghiffari Muliadi, Jemie Omar Saeed Al Mushayt Pamungkas, Lukas Sangka Prasetyo Putranto Purwoko, Reza Yuridian Rahayaan, Manuela Rendra Dwi Firmansyah Rico Dahlan Rima Melati Ros Sariningrum Ruhdiat, Rudi Rusdianto Roestam Salita Ulitia Prini Samafou, Faustin Saputra, Silvan Satyawan, Arief Suryadi Sopyan Setiana Sudirja Sudirja Sulaksono Priyo Sulistyaningsih Sulistyaningsih Supriyadi, Muhamad Rodhi Suryadi Satyawan, Arief Suyoto Suyoto Suyoto Suyoto Suyoto Suyoto Taufiqqurrachman Taufiqqurrachman Vita Awalia Mardiana Vita Awalia Mardiana Wajeb Gharibi Wan Sen, Tjong Wan Sen Wiko, Bimo Winy Desvasari Winy Desvasari Yulianto, Rivo Dwi