Misfa Susanto

@unila.ac.id

Department of Electrical Engineering/Faculty of Engineering
Universitas Lampung

Misfa Susanto


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https://researchid.co/misfasusanto
Misfa Susanto received his Bachelor's, MSc, and PhD degrees from Institut Teknologi Sepuluh Nopember, Indonesia, the University of Salford, UK, and the University of Bradford, UK, respectively. Upon completing his PhD in 2015, he resumed as a senior lecturer at the University of Lampung, Indonesia. He actively pursues grants at the national and international levels. He has conducted several successful research projects, including the BLESS-U project, a joint project between the University of Lampung, Indonesia, and the University of Bradford, UK. Furthermore, he serves as a reviewer in various international conferences and journals. His research interests encompass wireless communication systems and networks, focusing on interference management for heterogeneous wireless networks, femtocells-microcells, device-to-device communications, ultra-dense networks, and wireless-aided reconfigurable intelligent surfaces. He applies various algorithms in resource allocations, clustering,

EDUCATION

PhD, University of Bradford, UK

RESEARCH, TEACHING, or OTHER INTERESTS

Electrical and Electronic Engineering, Computer Networks and Communications, Signal Processing, Multidisciplinary
37

Scopus Publications

484

Scholar Citations

14

Scholar h-index

16

Scholar i10-index

Scopus Publications

  • RELoc: An Enhanced 3D WiFi Fingerprinting Indoor Localization Algorithm with RFECV Feature Selection
    Shehu Lukman Ayinla, Azrina Abd Aziz, Micheal Drieberg, Misfa Susanto, Anis Laouiti
    Sensors, 2026
    The use of Artificial Intelligence (AI) algorithms has enhanced WiFi fingerprinting-based indoor localization. However, most existing approaches are limited to 2D coordinate estimation, which leads to significant performance declines in multi-floor environments due to vertical ambiguity and inadequate spatial modeling. This limitation reduces reliability in real-world applications where accurate indoor localization is essential. This study proposes RELoc, a new 3D indoor localization framework that integrates Recursive Feature Elimination with Cross-Validation (RFECV) for optimal Access Point (AP) selection and Extremely Randomized Trees (ERT) for precise 2D and 3D coordinate regression. The ERT hyperparameters are optimized using Bayesian optimization with Optuna’s Tree-structured Parzen Estimator (TPE) to ensure robust, stable, and accurate localization. Extensive evaluation on the SODIndoorLoc and UTSIndoorLoc datasets demonstrates that RELoc delivers superior performance in both 2D and 3D indoor localization. Specifically, RELoc achieves Mean Absolute Errors (MAEs) of 1.84 m and 4.39 m for 2D coordinate prediction on SODIndoorLoc and UTSIndoorLoc, respectively. When floor information is incorporated, RELoc improves by 33.15% and 26.88% over the 2D version on these datasets. Furthermore, RELoc outperforms state-of-the-art methods by 7.52% over Graph Neural Network (GNN) and 12.77% over Deep Neural Network (DNN) on SODIndoorLoc and 40.22% over Extra Tree (ET) on UTSIndoorLoc, showing consistent improvements across various indoor environments. This enhancement emphasizes the critical role of 3D modeling in achieving robust and spatially discriminative indoor localization.
  • Interference management based on clustering in RIS-aided ultra dense network under multicell scenario
    Misfa Susanto, Alisha Gita Gumilang, Helmy Fitriawan, Azrina Abd Aziz
    Bulletin of Electrical Engineering and Informatics, 2025
    Ultra dense network (UDN) and reconfigurable intelligent surface (RIS) are two latest technologies in encountering the increasing demands for network capacity and quality of service in wireless cellular networks. UDN is created by densely deploying femtocells in macrocells area. It causes complex interferences because distances among femtocells are likely very close. RIS provides solution in regulating the reflection of the signal emitted from the transmitter to the receiver to resolve the obstacles. However, RIS reflects the interference signals as well causing more complex interference problems. This paper proposes a solution using clustering method as interference management in RIS-aided UDN network. By clustering method, nearby femtocells are grouped and allocated different frequency channels among femtocells in a cluster. The performance of two systems–the baseline system and the one employing a clustering method–is evaluated based on signal to interference plus noise ratio (SINR), throughput, and bit error rate (BER). Simulation results indicate that SINR and throughput improved by 1.57% and 1.73%, respectively. Meanwhile, the BER for the baseline system is 5.78×10-8 and decreased when applying the proposed method system with a value of 2.26×10-8. The proposed clustering method is promising to confront the interference problems.
  • Design of Entry Detection System Using Dual Sensor of Ultrasonic for Hospital Room Monitoring
    Muhammad Ferdillah Ghalib, Misfa Susanto, Sri Purwiyanti
    Proceeding 2025 International Conference on Computer System Information Technology and Electrical Engineering Cosite 2025, 2025
  • Design and Implementation of a Laravel-Based Web Dashboard for Indoor Asset Tracking in Hospital
    Omar Al-Maktary, Misfa Susanto, Mardiana
    Proceedings International Conference on Smart Green Technology in Electrical and Information Systems Icsgteis, 2025
    Healthcare facilities face significant operational challenges with medical equipment management, as staff wastes approximately 6-9% of their time locating assets. This paper presents the design and implementation of a prototype web dashboard developed using Laravel 12 for an indoor asset tracking system utilizing Bluetooth Low Energy (BLE) technology. The system enables administrators to manage assets, configure BLE readers, and monitor tracking logs. Key features include dual discovery modes (explicit/pattern), dynamic reader configuration, and threshold-based data filtering achieving 83.8% reduction in database load. Testing with 5 BLE tags and 2 ESP32 readers demonstrated 13-second end-to-end latency and zero data loss over continuous operation. The prototype dashboard integrates Kalman filter algorithm, validating the system's potential to reduce equipment search time from an average of 22.5 minutes to under 13 seconds. This prototype solution demonstrates how affordable, customizable asset tracking technology can feasibly improve hospital operational efficiency.
  • Prototyping Network-connected Multi-sensor Node of Wearable Device for Inpatient Monitoring System: Sensor Calibration Aspect
    Misfa Susanto, Michelin Radina Putri, Sri Purwiyanti, Fadil Hamdani, Azrina Abd Aziz
    Icocseti 2025 International Conference on Computer Sciences Engineering and Technology Innovation Proceeding, 2025
    Inpatient room monitoring system has its prominence in fulfilling a smart hospital system in healthcare industry. Monitoring patient itself has its importance such as monitoring the patient who is in intensive care unit or in isolated inpatient room. It requires a real-time monitoring system that can observe patient conditions. Therefore, it is necessary to realize a real-time patient monitoring system through a wearable device. It is as our long-term goal to realize network-based wearable device for such inpatient monitoring system. Motivated by such long-term goal, this paper presents calibration aspects for prototyping a network-connected wearable device in which the device is based on muti-sensor node. Each sensor certainly requires a good accuracy value or level before being used commercially or applied to the patients. Therefore, calibration is needed. The calibrated sensors are the MAX30100 sensor as the patient's pulse and oxygen respiration sensor and the DS18B20 sensor as the patient's body temperature sensor. The method used in this calibration uses the linear regression since the two sensors have a simple and consistent relationship between the sensor output and the measured value from a standard measurement tool. The calibrated sensors are then validated using Bland Altman plot. The results have good accuracies with all parameters have more than 99% of accuracy. Multi-sensor device can be implemented as a prototype of wearable device for real-time inpatient room monitoring system.
  • RIS-Aided Ultra Dense Networks of Heterogeneous Femtocell-Macrocell Network with Clustering Method
    Misfa Susanto, Alisha Gita Gumilang, Lukmanul Hakim, Rudi Kurnianto, Azrina Abd Aziz
    Icocseti 2025 International Conference on Computer Sciences Engineering and Technology Innovation Proceeding, 2025
    Ultra Dense Network (UDN) and Reconfigurable Intelligent Surface (RIS) are technologies useable as responses in dealing with interference problems in urban areas that have high users’ demands of coverage and capacity. This paper discusses the implementation of clustering method in addressing co-tier interference problem that occur in UDNs. The clustering method applied is an algorithm or method that groups the closest HeNBs and assigns different channels among HeNBs in the same cluster. While RIS technology helps in reducing the effects of obstructed signals between the transmitter and the receiver. Simulation experiments are conducted to evaluate the performance of the UDN according to four performance parameters that are evaluated i.e., signal to interference plus noise ratio (SINR), average network energy, spectral efficiency, and bit error rate (BER). The results show that the SINR is increased applying the clustering method by 0.232dB, the result of spectral efficiency is increased by 0.08 bit/s/Hz, BER value is decreased by 0.5x10-3 when number of HeNBs reaches 210. Average network energy is decreased by 4.2 J/bit. The experiment evaluates comparisons to a baseline system. It can be concluded that the use of clustering method in UDNs provides a better network and system performance compared to the baseline system.
  • An Enhanced Deep Neural Network Approach for WiFi Fingerprinting-Based Multi-Floor Indoor Localization
    Shehu Lukman Ayinla, Azrina Abd Aziz, Micheal Drieberg, Misfa Susanto, Afidalinatumian, Mazlaini Yahya
    IEEE Open Journal of the Communications Society, 2025
    WiFi fingerprinting based on the Received Signal Strength Indicator (RSSI) is a widely used technique for indoor localization. However, achieving the necessary precision for most smart applications has proven difficult due to various challenges, including the time-varying characteristics of indoor RSSI, device heterogeneity, and ambiguity in the positional fingerprints. To address these concerns, Artificial Intelligence (AI) techniques such as Machine Learning (ML) and Deep Learning (DL) have been used to classify and predict indoor locations. While these techniques have shown promising results, they face two significant challenges. First, their complex multilayer architecture requires extensive training iterations. Second, the distribution of the input layer fluctuates as the network’s parameters are updated. In this study, we propose a WiFi indoor localization framework based on Recursive Feature Elimination with Cross-Validation (RFECV) and Deep Neural Network with Batch Normalization (DNNBN). The CV process is repeated multiple times to assess the RFE’s generalization ability for optimal feature selection, and the BN algorithm is integrated into each layer of the DNN to ensure consistent activation value distribution and stabilization of the training process. Two datasets were used to assess the performance of the proposed RFECV-DNNBN method. The results show that the method addresses the challenges faced by existing AI techniques and outperforms current methods in classification and regression tasks. Our proposed framework achieved 100% accuracy in building classification and 94.69% and 96.39% in floor classification on the UJIIndoorLoc and UTSIndoorLoc datasets, respectively, demonstrating its effectiveness. Additionally, it achieved a Mean Absolute Error (MAE) of 5.08 m and 4.29 m for the respective datasets, highlighting its potential in multi-floored environments.
  • Received signal power evaluation of RIS-aided wireless networks on THz bands
    Fadil Hamdani, Misfa Susanto
    Aip Conference Proceedings, 2024
  • Reducing interference effects in distributed D2D communication underlaying multicell cellular communication network using Soft Fractional Frequency Reuse
    Misfa Susanto, Soraida Sabella, FX Arinto Setyawan
    International Journal of Electronics and Telecommunications, 2024
    The interests of researchers in expanding network capacity and enhancing network quality have risen as a result of the growing demands for mobile multimedia traffics in cellular communication networks. Device-to-Device (D2D) communication has become a promising technology to enhance spectral efficiency and network capacity. However, since D2D devices share the frequency bandwidth with the traditional cellular networks, it causes interference problems. This paper proposes a soft Fractional Frequency Reuse (FFR) scheme to resolve the interference problems in such D2D communications. Extensive simulation experiment has been carried out. The performance of the system with proposed scheme is compared to a baseline system. The simulation results show that the proposed scheme is able to increase the value of SINR and throughput, achieving the values from 19.8 dB to 20.7 dB and from 66.1 to 68.8 Mbp, respectively. For CUE the scheme is able to provide an increase of 15.5% for SINR and 15% increase for throughput on downlink transmission.
  • Performance Evaluation of Soft FFR Scheme in RIS-aided Ultra Dense Femto-Macrocellular Network
    Alisha Gita Gumilang, Misfa Susanto, Helmy Fitriawan, Azrina Abd Aziz
    Proceedings 2024 Fortei International Conference on Electrical Engineering Empowering Innovations Navigating the Future of Semiconductor Industry Fortei Icee 2024, 2024
    Ultra Dense Network (UDN) and Reconfigurable Intelligent Surface (RIS) are known as latest technologies that can enhance system capacity and performance. Deployment of RIS in UDN can overcome the signal blockages that is common in urban areas where UDN applied. However, due to dense deployed small cells, i.e. femtocell in macrocellular network, co-channel interference in UDN faces challenging problem. Applying RIS in UDN can encounter the interference problems more challenging. This paper applies soft FFR scheme in RIS-aided UDN cellular network to investigate its effects in mitigating interference problems in RIS-aided UDN cellular network. Simulation experiment has been carried to evaluate the performance of such RIS-aided UDN network. Three parameters are used to evaluate the performance of network under study, namely Signal-to- Interference plus Noise Ratio (SINR), throughput and Bit Error Rate (BER). The outcomes of the simulation for the network with soft FFR are compared to the network without FFR scheme, referred to as baseline system. The simulation results show that the SINR of femtocell for the network with soft FFR scheme increases 3.07 dB, throughput increases 9.99 Mbps and BER decreases from 2.96 x 10–3 to 5.73 X 10-5• The system with soft FFR scheme outperforms the baseline system and soft FFR is promising to reduce the interference effects in RIS-aided UDN network.
  • Testing and Calibration of Electronic Sensor Devices for Application of Smart Hospital Room Monitoring System
    Muhammad Ferdillah Ghalib, Misfa Susanto, Sri Purwiyanti, Fadil Hamdani, Azrina Abd Aziz
    Proceedings 2024 Fortei International Conference on Electrical Engineering Empowering Innovations Navigating the Future of Semiconductor Industry Fortei Icee 2024, 2024
  • Network Performance Evaluation Based on RSSI for Inpatient Room Monitoring Application
    Michelin Radina Putri, Misfa Susanto, Sri Purwiyanti, Fadil Hamdani, Azrina Abd Aziz
    Proceedings 2024 Fortei International Conference on Electrical Engineering Empowering Innovations Navigating the Future of Semiconductor Industry Fortei Icee 2024, 2024
  • Performance of Distance-Based Clustering Method for RIS-aided D2D Communications in Multicell Cellular Network
    Soraida Sabella, Misfa Susanto, Fx Arinto Setyawan, Helmy Fitriawan, Mardiana, Fadil Hamdani
    Proceeding 2023 International Conference on Radar Antenna Microwave Electronics and Telecommunications Empowering Global Progress Innovative Electronic and Telecommunication Solutions for A Sustainable Future Icramet 2023, 2023
  • Interference Management Using Fractional Frequency Reuse for Ultra Dense Networks at Downlink Transmission
    Misfa Susanto, Sri Suryani, Sitronella Nurfitriani Hasim, Ageng Sadnowo Repelianto, Helmy Fitriawan, Fadil Hamdani, Azrina Abd Aziz
    Proceedings of the 3rd 2023 International Conference on Smart Cities Automation and Intelligent Computing Systems Icon Sonics 2023, 2023
  • Soft FFR Scheme for Distributed D2D Communication in Multicell of Cellular Communication Networks
    Soraida Sabella, Misfa Susanto, FX. Arinto Setyawan, Fadil Hamdani
    Proceeding IEEE International Conference on Communication Networks and Satellite Comnetsat 2022, 2022
  • Interference Management Using Power Allocation for Downlink Transmission of Femtocell-Macrocell Ultra Dense Networks
    Sri Suryani, Misfa Susanto, Ageng Sadnowo, Sitronella Nurfitriani Hasim, Fadil Hamdani
    Proceedings 2022 9th International Conference on Information Technology Computer and Electrical Engineering Icitacee 2022, 2022
  • Performance Evaluation of RIS-aided Multicell 5G and Beyond Wireless Cellular Communication Network
    Mohammad Alizal Surya, Misfa Susanto, Soraida Sabella, Helmy Fitriawan, Fadil Hamdani
    Proceeding 2022 International Conference on Radar Antenna Microwave Electronics and Telecommunications Emerging Science and Industrial Innovation in Electronics and Telecommunication Icramet 2022, 2022
  • Interference Management with Relay-Based Clustering Method on Ultra Dense Networks of Femto-Macrocellular Network
    Sitronella Nurfitriani Hasim, Misfa Susanto, Helmy Fitriawan, Fadil Hamdani
    Proceedings Iccteie 2021 2021 International Conference on Converging Technology in Electrical and Information Engineering Converging Technology for Sustainable Society, 2021
  • Dynamic Radio Resource Allocation Based on Location for Mobile Femtocell in Cellular Network
    Misfa Susanto, Soraida Sabella, Syaiful Alam, Fadil Hamdani
    Proceedings Iccteie 2021 2021 International Conference on Converging Technology in Electrical and Information Engineering Converging Technology for Sustainable Society, 2021
  • Design of DC to DC Converter for Solar Photovoltaic Power Plant Applications
    Ahmad Saudi Samosir, Sri Purwiyanti, Herri Gusmedi, Misfa Susanto
    Proceedings Iccteie 2021 2021 International Conference on Converging Technology in Electrical and Information Engineering Converging Technology for Sustainable Society, 2021
  • Development of an IoT Based Monitoring System for Solar PV Power Plant Application
    Ahmad Saudi Samosir, Ade Fachrur Rozie, Sri Purwiyanti, Herri Gusmedi, Misfa Susanto
    Proceedings Iccteie 2021 2021 International Conference on Converging Technology in Electrical and Information Engineering Converging Technology for Sustainable Society, 2021
  • Prototype of Sensor Node for Low-Cost Machine Vibration Monitoring System Using Accelerometer Sensor
    Misfa Susanto, Rizky Saputra, Herlinawati, Shirley Savetlana, Syaiful Alam
    2020 IEEE International Conference on Communication Networks and Satellite Comnetsat 2020 Proceedings, 2020
  • Performance Evaluation of Cell-Edge Femtocell Densely Deployed in OFDMA-Based Macrocellular Network
    Sitronella Nurfitriani Hasim, Misfa Susanto
    2020 3rd International Seminar on Research of Information Technology and Intelligent Systems Isriti 2020, 2020
  • Energy-efficient 5G cloud RAN with virtual BBU server consolidation and base station sleeping
    Tshiamo Sigwele, Yim Fun Hu, Misfa Susanto
    Computer Networks, 2020
  • Preface
    Atta-ur-Rahman
    Journal of Physics Conference Series, 2019
  • Uplink Power Control Based on SINR for D2D Enabled in Cellular Communication Network
    M Susanto, A Abadi, Herlinawati, A Trisanto
    Journal of Physics Conference Series, 2019
  • Building a Semantic RESTFul API for Achieving Interoperability between a Pharmacist and a Doctor using JENA and FUSEKI
    T Sigwele, A Naveed, Y.F Hu, M Ali, J Hou, M Susanto, H Fitriawan
    Journal of Physics Conference Series, 2019
  • An Intelligent Edge Computing Based Semantic Gateway for Healthcare Systems Interoperability and Collaboration
    Tshiamo Sigwele, Yim Fun Hu, Muhammad Ali, Jiacheng Hou, Misfa Susanto, Helmy Fitriawan
    Proceedings 2018 IEEE 6th International Conference on Future Internet of Things and Cloud Ficloud 2018, 2018
  • Impact of mobile sink on grid topology of wireless sensor network
    Misfa Susanto, Yona Annisa, Agus Trisanto, Syaiful Alam
    2017 International Conference on Broadband Communication Wireless Sensors and Powering Bcwsp 2017, 2018
  • Intelligent and Energy Efficient Mobile Smartphone Gateway for Healthcare Smart Devices Based on 5G
    Tshiamo Sigwele, Yim Fun Hu, Muhammad Ali, Jiachen Hou, Misfa Susanto, Helmy Fitriawan
    Proceedings IEEE Global Communications Conference Globecom, 2018
  • Downlink power control for interference management in femtocell-macrocell cellular communication network
    Misfa Susanto, Dika Fauzia, Melvi, Syaiful Alam
    Qir 2017 2017 15th International Conference on Quality in Research Qir International Symposium on Electrical and Computer Engineering, 2017
  • Interference Management using power control for uplink transmission in femtocell-macrocell cellular communication network
    Misfa Susanto, Risdawati Hutabarat, Yetti Yuniati, Syaiful Alam
    Qir 2017 2017 15th International Conference on Quality in Research Qir International Symposium on Electrical and Computer Engineering, 2017
  • ZigBee based wireless sensor networks and performance analysis in various environments
    Helmy Fitriawan, Misfa Susanto, Ahmad Surya Arifin, Danny Mausa, Agus Trisanto
    Qir 2017 2017 15th International Conference on Quality in Research Qir International Symposium on Electrical and Computer Engineering, 2017
  • On the reduction of interference effect using power control for device-to-device communication underlying cellular communication network
    Misfa Susanto, Helmy Fitriawan, Andri Abadi, Herlinawati
    Icecos 2017 Proceeding of 2017 International Conference on Electrical Engineering and Computer Science Sustaining the Cultural Heritage Toward the Smart Environment for Better Future, 2017
  • Network coding for multicast communications over satellite networks
    Esua Kinyuy Jaff, Misfa Susanto, Muhammadu Ali, Prashant Pillai, Yim Fun Hu
    Lecture Notes of the Institute for Computer Sciences Social Informatics and Telecommunications Engineering Lnicst, 2015
  • Network coding applications to high bit-rate satellite networks
    Giovanni Giambene, Muhammad Muhammad, Doanh Kim Luong, Manlio Bacco, Alberto Gotta, Nedo Celandroni, Esua Kinyuy Jaff, Misfa Susanto, Yim Fun Hu, Prashant Pillai, Muhammad Ali, Tomaso de Cola
    Lecture Notes of the Institute for Computer Sciences Social Informatics and Telecommunications Engineering Lnicst, 2015
  • Joint random linear network coding and convolutional code with interleaving for multihop wireless network
    M. Susanto, Yim Fun Hu, P. Pillai
    Proceedings 27th International Conference on Advanced Information Networking and Applications Workshops Waina 2013, 2013

RECENT SCHOLAR PUBLICATIONS

  • PENERAPAN SISTEM DIGITAL PEMANTAU KUALITAS AIR PADA KOLAM TANAH BUDIDAYA IKAN NILA DI DESA KUTA DALOM, PESAWARAN, LAMPUNG
    F Hamdani, M Susanto, N Soedjarwanto, D Budiyanto
    Jurnal Pengabdian Kepada Masyarakat Sakai Sambayan 10 (1), 7-12 , 2026
    2026
  • RELoc: An Enhanced 3D WiFi Fingerprinting Indoor Localization Algorithm with RFECV Feature Selection
    SL Ayinla, A Abd Aziz, M Drieberg, M Susanto, A Laouiti
    Sensors 26 (1), 326 , 2026
    2026
    Citations: 1
  • Design and Implementation of a Laravel-Based Web Dashboard for Indoor Asset Tracking in Hospital
    O Al-Maktary, M Susanto, Mardiana
    2025 International Conference on Smart-Green Technology in Electrical and … , 2025
    2025
  • Design of Entry Detection System Using Dual Sensor of Ultrasonic for Hospital Room Monitoring
    MF Ghalib, M Susanto, S Purwiyanti
    2025 3rd International Conference on Computer System, Information Technology … , 2025
    2025
  • Evaluation of RSSI-Based Distance Estimation with ESP32 BLE Modules for Indoor Asset Tracking
    O Al-Maktary, MS Susanto, M Mardiana
    ELKHA: Jurnal Teknik Elektro 17 (2), 172-179 , 2025
    2025
    Citations: 2
  • Clustering technique for dense D2D communication in RIS-aided multicell cellular network
    M Susanto, S Sabella, L Hakim, R Kurnianto, AA Aziz
    Indonesian Journal of Electrical Engineering and Computer Science 39 (2 … , 2025
    2025
  • Interference management based on clustering in RIS-aided ultra dense network under multicell scenario
    M Susanto, AG Gumilang, H Fitriawan, AA Aziz
    Bulletin of Electrical Engineering and Informatics 14 (4), 2662-2673 , 2025
    2025
  • PENILAIAN RISIKO BERBASIS ISO 31000: 2018 PADA UNIT TIK PERGURUAN TINGGI (STUDI KASUS: POLITEKNIK NEGERI LAMPUNG)
    P Marlando, M Susanto
    Jurnal Informatika dan Teknik Elektro Terapan 13 (3) , 2025
    2025
    Citations: 1
  • RIS-Aided Ultra Dense Networks of Heterogeneous Femtocell-Macrocell Network with Clustering Method
    Misfa Susanto, Alisha Gita Gumilang, Lukmanul Hakim, Rudi Kurnianto, Azrina ...
    2025 International Conference on Computer Sciences, Engineering, and … , 2025
    2025
  • Prototyping Network-connected Multi-sensor Node of Wearable Device for Inpatient Monitoring System: Sensor Calibration Aspect
    Misfa Susanto, Michelin Radina Putri, Sri Purwiyanti, Fadil Hamdani, Azrina ...
    2025 International Conference on Computer Sciences, Engineering, and … , 2025
    2025
    Citations: 1
  • A Comparative Review of Communication Technologies for Asset Tracking in Healthcare Facilities
    Omar Al-Maktary, Misfa Susanto
    Applied Engineering Innovation and Technology 2 (1), 9 - 14 , 2025
    2025
  • Analisis Quality of Service dengan Metode Peer Connection Queue untuk Management Bandwidht pada Jaringan Point to Point Protocol Over Ethernet
    SN Hasim, M Susanto
    Electrician: Jurnal Rekayasa dan Teknologi Elektro 19 (1), 96-103 , 2025
    2025
  • An enhanced deep neural network approach for wifi fingerprinting-based multi-floor indoor localization
    SL Ayinla, A Abd Aziz, M Drieberg, M Susanto, A Tumian, M Yahya
    IEEE Open Journal of the Communications Society 6, 560-575 , 2024
    2024
    Citations: 16
  • Reducing Interference Effects in Distributed D2D Communication Underlaying Multicell Cellular Communication Network Using Soft Fractional Frequency Reuse
    Misfa Susanto, Soraida Sabella, FX Setyawan
    International Journal of Electronics and Telecommunications 70 (4), 901-908 , 2024
    2024
    Citations: 2
  • Testing and Calibration of Electronic Sensor Devices for Application of Smart Hospital Room Monitoring System
    MF Ghalib, M Susanto, S Purwiyanti, F Hamdani, A Abd Aziz
    2024 FORTEI-International Conference on Electrical Engineering (FORTEI-ICEE … , 2024
    2024
    Citations: 1
  • Network Performance Evaluation Based on RSSI for Inpatient Room Monitoring Application
    MR Putri, M Susanto, S Purwiyanti, F Hamdani, A Abd Aziz
    2024 FORTEI-International Conference on Electrical Engineering (FORTEI-ICEE … , 2024
    2024
    Citations: 2
  • Performance Evaluation of Soft FFR Scheme in RIS-Aided Ultra Dense Femto-Macrocellular Network
    AG Gumilang, M Susanto, H Fitriawan, A Abd Aziz
    2024 FORTEI-International Conference on Electrical Engineering (FORTEI-ICEE … , 2024
    2024
  • Landslide Monitoring and Warning System Based on Wireless Sensor Network
    Ahmad Wahyu Widodo, Misfa Susanto, FX Arinto Setyawan
    ELKHA: Jurnal Teknik Elektro 16 (2), 116-122 , 2024
    2024
    Citations: 1
  • Received signal power evaluation of RIS-aided wireless networks on THz bands
    F Hamdani, M Susanto
    AIP Conference Proceedings 2970 (1), 020015 , 2024
    2024
  • ANALISA PERBANDINGAN DUA METODE KALIBRASI MESIN ANASTHESI VENTILATOR MELALUI PENGUJIAN FUNGSIONAL DAN KALIBRASI
    T Muzaki, M Susanto, S Purwiyanti
    Jurnal Informatika dan Teknik Elektro Terapan 12 (3) , 2024
    2024

MOST CITED SCHOLAR PUBLICATIONS

  • ZigBee based wireless sensor networks and performance analysis in various environments
    H Fitriawan, M Susanto, AS Arifin, D Mausa, A Trisanto
    2017 15th International Conference on Quality in Research (QiR … , 2017
    2017
    Citations: 62
  • Intelligent and energy efficient mobile smartphone gateway for healthcare smart devices based on 5G
    T Sigwele, YF Hu, M Ali, J Hou, M Susanto, H Fitriawan
    2018 IEEE global communications conference (GLOBECOM), 1-7 , 2018
    2018
    Citations: 54
  • Energy-efficient 5G cloud RAN with virtual BBU server consolidation and base station sleeping
    T Sigwele, YF Hu, M Susanto
    Computer Networks 177, 107302 , 2020
    2020
    Citations: 41
  • An intelligent edge computing based semantic gateway for healthcare systems interoperability and collaboration
    T Sigwele, YF Hu, M Ali, J Hou, M Susanto, H Fitriawan
    2018 IEEE 6th International Conference on Future Internet of Things and … , 2018
    2018
    Citations: 36
  • Development of an IoT Based Monitoring System for Solar PV Power Plant Application
    AS Samosir, AF Rozie, S Purwiyanti, H Gusmedi, M Susanto
    2021 International Conference on Converging Technology in Electrical and … , 2021
    2021
    Citations: 21
  • Interference Management using power control for uplink transmission in femtocell-macrocell cellular communication network
    M Susanto, R Hutabarat, Y Yuniati, S Alam
    2017 15th International Conference on Quality in Research (QiR … , 2017
    2017
    Citations: 20
  • On the reduction of interference effect using power control for device-to-device communication underlying cellular communication network
    M Susanto, H Fitriawan, A Abadi, Herlinawati
    2017 International Conference on Electrical Engineering and Computer Science … , 2017
    2017
    Citations: 19
  • Uplink power control based on SINR for D2D enabled in cellular communication network
    M Susanto, A Abadi, Herlinawati, A Trisanto
    Journal of Physics: Conference Series 1376 (1), 012019 , 2019
    2019
    Citations: 18
  • Downlink power control for interference management in femtocell-macrocell cellular communication network
    M Susanto, D Fauzia, Melvi, S Alam
    2017 15th International Conference on Quality in Research (QiR … , 2017
    2017
    Citations: 17
  • An enhanced deep neural network approach for wifi fingerprinting-based multi-floor indoor localization
    SL Ayinla, A Abd Aziz, M Drieberg, M Susanto, A Tumian, M Yahya
    IEEE Open Journal of the Communications Society 6, 560-575 , 2024
    2024
    Citations: 16
  • Performance evaluation of cell-edge femtocell densely deployed in OFDMA-based macrocellular network
    SN Hasim, M Susanto
    2020 3rd International Seminar on Research of Information Technology and … , 2020
    2020
    Citations: 16
  • Dynamic Radio Resource Allocation Based on Location for Mobile Femtocell in Cellular Network
    M Susanto, S Sabella, S Alam, F Hamdani
    2021 International Conference on Converging Technology in Electrical and … , 2021
    2021
    Citations: 15
  • Interference Management with Dynamic Resource Allocation Method on Ultra-Dense Networks in Femto-Macrocellular Network
    M Susanto, SN Hasim, H Fitriawan
    Jurnal Rekayasa Elektrika 17 (4), 230-238 , 2021
    2021
    Citations: 14
  • Addressing semantic interoperability, privacy and security concerns in electronic health records
    A Naveed, T Sigwele, YF Hu, M Kamala, M Susanto
    Journal of Engineering and Scientific Research 2 (1), 31-38 , 2020
    2020
    Citations: 14
  • Interference Management with Relay-Based Clustering Method on Ultra Dense Networks of Femto-Macrocellular Network
    SN Hasim, M Susanto, H Fitriawan, F Hamdani
    2021 International Conference on Converging Technology in Electrical and … , 2021
    2021
    Citations: 10
  • Design of DC to DC Converter for Solar Photovoltaic Power Plant Applications
    AS Samosir, S Purwiyanti, H Gusmedi, M Susanto
    2021 International Conference on Converging Technology in Electrical and … , 2021
    2021
    Citations: 10
  • Interference Management Using Power Allocation for Downlink Transmission of Femtocell-Macrocell Ultra Dense Networks
    S Suryani, M Susanto, A Sadnowo, SN Hasim, F Hamdani
    2022 9th International Conference on Information Technology, Computer, and … , 2022
    2022
    Citations: 9
  • Melvi, and S
    M Susanto, D Fauzia
    Alam,“Downlink Power Control for Interference Management in Femtocell … , 2017
    2017
    Citations: 9
  • Soft FFR Scheme for Distributed D2D Communication in Multicell of Cellular Communication Networks
    S Sabella, M Susanto, FXA Setyawan, F Hamdani
    2022 IEEE International Conference on Communication, Networks and Satellite … , 2022
    2022
    Citations: 7
  • Prototype of sensor node for low-cost machine vibration monitoring system using accelerometer sensor
    M Susanto, R Saputra, S Savetlana, S Alam
    2020 IEEE International Conference on Communication, Networks and Satellite … , 2020
    2020
    Citations: 7