Penerapan Metode Pembelajaran Mesin Berbasis Fuzzy Logic untuk Prediksi Kualitas Layanan Jaringan IoT (Internet of Things)

Authors

  • Suprayoga Rajabana Universitas Pamulang
  • Sukri Sukri Universitas Pamulang
  • Munawaroh Munawaroh Universitas Pamulang

DOI:

https://doi.org/10.32493/informatika.v8i2.30572

Keywords:

Jaringan IoT, Logika fuzzy, Optimasi parameter, Pembelajaran mesin

Abstract

Masalah yang dihadapi dalam pengelolaan kualitas layanan jaringan Internet of Things (IoT) adalah ketidakpastian dan kompleksitas data yang ambigu. Dalam penelitian ini, kami bertujuan untuk menerapkan metode pembelajaran mesin berbasis logika fuzzy guna memprediksi kualitas layanan pada jaringan IoT. Metode pembelajaran mesin berbasis logika fuzzy digunakan dengan melatih model menggunakan algoritma fuzzy c-means dan melakukan optimasi parameter melalui validasi silang. Kami melakukan evaluasi kinerja model dengan menggunakan metrik akurasi, presisi, recall, dan F1-score. Hasil penelitian kami menunjukkan bahwa metode pembelajaran mesin berbasis logika fuzzy mampu mengatasi tantangan ketidakpastian dan kompleksitas data pada jaringan IoT. Model yang dikembangkan mampu memprediksi kualitas layanan dengan tingkat akurasi yang tinggi. Atribut masukan seperti kecepatan transfer data, latensi, kestabilan koneksi, dan kehilangan paket dapat diklasifikasikan ke dalam kategori kualitas layanan yang sesuai. Evaluasi kinerja model juga menunjukkan tingkat akurasi, presisi, recall, dan F1-score yang seimbang. Penelitian ini memiliki implikasi penting dalam pengembangan dan pengelolaan jaringan IoT. Metode pembelajaran mesin berbasis logika fuzzy dapat memberikan pemahaman yang lebih baik, mendukung pengambilan keputusan, dan meningkatkan kualitas layanan pada jaringan IoT. Penelitian selanjutnya dapat melibatkan pengembangan model fuzzy logic yang lebih kompleks, penggunaan dataset yang lebih besar, serta mempertimbangkan faktor-faktor lain yang mempengaruhi kualitas layanan pada jaringan IoT.

References

Alotaibi, A., & Alshehri, M. (2021). Quantitative Evaluation of QoS in IoT Using Fuzzy Logic. International Journal of Computer Networks and Communications Security, 9(6), 233-240.

Al-Sabbagh, M. M., & Mohammad, B. (2019). Internet of Things Quality of Service Evaluation Using Fuzzy Logic Techniques. International Journal of Communication Systems, 32(6), e3970.

Ammar, M. A., & Hamza, H. M. (2021). A Comprehensive Review on Data Normalization Techniques for Machine Learning. Irbid Journal for Research and Studies, 20(1), 11-22.

Ayuso, J., & Chiclana, F. (2022). A New Fuzzy Logic-Based Model for Quality of Service Assessment in IoT Applications. IEEE Internet of Things Journal, 9(9), 8267-8278.

B. Patil, P. Kamalapur, & M. Kamatgi. (2018). "A Hybrid Fuzzy Logic Model for QoS Prediction in IoT Environment,". 2nd International Conference on Trends in Electronics and Informatics (ICOEI), 637-641.

Bansal, P., & Gupta, A. (2018). Internet of Things (IoT) in Agriculture: System Architecture, Approaches, and Applications. Journal of Ambient Intelligence and Humanized Computing, 9(3), 457-479.

Barasa, C. M., & Zhou, M. (2021). Design and Implementation of a Data Collection and Storage Platform for IoT Applications. International Journal of Engineering Research & Technology, 10(9), 147-152.

Bharti, S., & Kumar, N. (2023). Quality of Service Management for Internet of Things Using Fuzzy Logic Approach. International Journal of Applied Engineering Research, 18(3), 255-263.

Chatterjee, M., & Bhattacharya, A. (2019). Fuzzy Logic-Based Decision Support System for Quality of Service Management in Internet of Things. International Journal of Information Management, 49, 168-179.

Ghosh, P., & Das, S. (2020). A Fuzzy Logic Based QoS Evaluation System for Internet of Things. International Journal of Computing and Digital Systems, 9(6), 554-565.

Han, Q., & Liu, J. (2022). An Enhanced Fuzzy Logic-Based Framework for Quality of Service Assessment in Internet of Things. International Journal of Distributed Sensor Networks, 18(2), 209-217.

Hossain, M. A., & Alam, M. S. (2020). A Fuzzy Logic-Based Approach for Quality of Service Assessment in IoT Networks. International Journal of Electrical and Computer Engineering, 10(4), 4071-4080.

Islam, M. A., & Mahmud, S. (2022). Quantitative Analysis of Quality of Service in IoT Networks Using Fuzzy Logic. International Journal of Advanced Computer Science and Applications, 13(3), 34-42.

J. Yu, S. Shu , & D. Liang. (2019). "A Fuzzy Logic Based IoT Network Service Quality Prediction Model,". International Conference on Artificial Intelligence and Computer Applications (ICAICA), 274-279.

Kalimuthu, P., & Ghanbari, M. (2019). A Fuzzy Logic-Based QoS Evaluation Framework for IoT Healthcare Applications. Journal of Medical Systems, 43(11), 333.

Karray, A., & Alkhatib, R. (2019). Fuzzy Logic-Based Variable Linguistic Membership Function Generation for QoS Evaluation in IoT Networks. International Journal of Advanced Computer Science and Applications, 10(9), 59-67.

Manoj, M., & Raghuveer, K. (2019). Intrusion Detection System Using Fuzzy Logic for Internet of Things. Journal of Ambient Intelligence and Humanized Computing, 10(9), 3621-3632.

Mishra, P. S., & Patil, A. S. (2021). A Quantitative Analysis of Quality of Service in IoT Networks Using Fuzzy Logic Approach. International Journal of Advanced Research in Computer Science, 12(3), 1-6.

Prusty, A. (2021). Fuzzy logic-based QoS evaluation for IoT applications. Journal of Ambient Intelligence and Humanized Computing, 12(8), 8769–8780.

Rezvan, A., & Al-Fuqaha. (2018). Fuzzy Logic-Based QoS and Energy Aware Routing for Internet of Things. IEEE Internet of Things Journal, 5(6), 4616-4625.

S. Bandyopadhyay, & S. K. Bhattacharyya. (2019). "A Fuzzy c-Means based Particle Swarm Optimization Algorithm for Cluster Analysis,". Applied Soft Computing, vol. 80, 195-211.

S. Upadhyay, R. Singh, & M. Saxena. (2019). "QoS Prediction using Fuzzy Logic for Internet of Things (IoT) Environment,". International Conference on Automation, Computational and Technology Management (ICACTM), 166-170.

Singh, D., & Saini, R. (2021). Fuzzy Logic-Based QoS Evaluation Framework for IoT Applications. International Journal of Advanced Intelligence Paradigms, 15(2), 112-129.

Sood, R., & Sharma, D. (2018). Feature Selection for Quality of Service Prediction in Internet of Things using Ant Colony Optimization. International Journal of Advanced Computer Science and Applications, 9(9), 486-492.

Wang, & Zhang. (2020). A Duplicate Data Cleaning Method for Internet of Things Based on Machine Learning. IEEE Internet of Things Journal, 7(6), 5206-5214.

Zhang, Z., & Li, J. (2021). Fuzzy Logic Based Quality of Service Evaluation for Internet of Things. IEEE Internet of Things Journal, 8(1), 503-513.

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Published

2023-06-30