Analisis Simulasi Wireless Sensor Network Berbasis Game Interaktif Sebagai Media Pembelajaran

Authors

  • Nabila ardiansyah Universitas Madura image/svg+xml Author
  • Moh. Rafael Kamil Ardiansyah Author
  • Nabila Ambarwati Author
  • Raditya Dwi Akmal Purnomo Author

Keywords:

wireless sensor network, game-based learning, simulasi jaringan, media pembelajaran, internet of things

Abstract

Perkembangan teknologi jaringan mendorong meningkatnya kebutuhan akan pemahaman konsep Wireless Sensor Network (WSN) yang menjadi komponen penting dalam berbagai sistem modern, termasuk Internet of Things (IoT). Namun, kompleksitas konsep WSN sering menjadi kendala dalam proses pembelajaran konvensional yang bersifat teoritis. Penelitian ini bertujuan untuk menganalisis dan mengembangkan simulasi Wireless Sensor Network berbasis game interaktif sebagai media pembelajaran yang mampu meningkatkan pemahaman dan keterlibatan peserta didik. Pendekatan Game-Based Learning digunakan untuk menghadirkan proses pembelajaran yang lebih menarik dan aplikatif melalui visualisasi dan interaksi langsung dengan sistem simulasi. Metode penelitian yang digunakan adalah System Development Life Cycle (SDLC), yang meliputi tahap analisis kebutuhan, perancangan sistem, implementasi, pengujian, dan pemeliharaan. Hasil penelitian diharapkan dapat menunjukkan bahwa simulasi WSN berbasis game interaktif mampu membantu peserta didik memahami konsep dasar WSN, karakteristik jaringan, serta tantangan komunikasi dan keamanan secara lebih efektif, sekaligus mendukung proses pembelajaran teknologi jaringan yang relevan dengan perkembangan IoT.

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Author Biographies

  • Moh. Rafael Kamil Ardiansyah

    orang ganteng

  • Nabila Ambarwati

    nothing

  • Raditya Dwi Akmal Purnomo

    orang

References

[1] Safiuddin, S., & Putra, F. P. E. (2023). Strategi Efisiensi Wireless Sensor Network (WSN). INFORMATICS FOR EDUCATORS AND PROFESSIONAL: Journal of Informatics, 8(1), 52-56. Doi https://doi.org/10.51211/itbi.v8i1.2441

[2] Culler, D., Estrin, D., & Srivastava, M. (2004). Guest editors' introduction: Overview of sensor networks. Computer, 37(08), 41-49. Doi https://doi.ieeecomputersociety.org/10.1109/MC.2004.93

[3] Handayani, A. S., Pujiana, D., Husni, N. L., Amin, J. M., Sitompul, C. R., Taqwa, A., & Soim, S. (2018, October). Robustness of Sensors Network in Environmental Monitoring. In 2018 International Conference on Applied Science and Technology (iCAST) (pp. 515-520). IEEE. Doi https://doi.org/10.1109/iCAST1.2018.8751508

[4] Putra, A. N., & Yundra, E. (2019). Pengembangan trainer weather station dengan sistem wireless sensor network sebagai media pembelajaran pada mata pelajaran Mikroprosesor dan Mikrokontroler di SMK Negeri 1 Blitar. Jurnal Pendidikan Teknik Elektro, 8(1). Doi https://doi.org/10.26740/jpte.v8n1.p%25p

[5] G. P. N. Hakim, D. Septiyana, and I. Suwarno, “Survey Paper Artificial and Computational Intelligence in the Internet of Things and Wireless Sensor Network,” J. Robot. Control, vol. 3, no. 4, pp. 439–454, 2022, doi: 10.18196/jrc.v3i4.15539.

[6] W. Choi, J. Kim, S. E. Lee, and E. Park, “Smart home and internet of things: A bibliometic study,” J. Clean. Prod., vol. 301, p. 126908, 2021, doi: 10.1016/j.jclepro.2021.126908.

[7] Anggy Giri Prawiyogi and Aang Solahudin Anwar, “PerkembanganInternet of Things (IoT) pada Sektor Energi : Sistematik Literatur Review,” J. MENTARI Manajemen, Pendidik. dan Teknol. Inf., vol. 1, no. 2, pp. 187–197, 2023, doi: 10.34306/mentari.v1i2.254.

[8] S. Barkin, E. H. Ip, I. Richardson, S. Klinepeter, S. Finch, dan M. Krcmar, "Technology and Early Childhood Health: Trends and Considerations," Academic Pediatrics, vol. 22, no. 2, pp. 315-323, 2022. [Online]. Available: https://doi.org/10.1016/j.acap.2021.08.009

[9] M. Y. Chang, C. H. Yuan, dan Y. P. Chi, "The Role of Mobile Digital Devices in Early Childhood Development: A Review of Recent Studies," Early Child Development and Care, vol. 193, no. 6, pp. 911-925, 2023. [Online]. Available: https://doi.org/10.1080/03004430.2021.1989633.

[10] Jahirin dan Amelinda, "HUBUNGAN PENGGUNAAN GADGET (HANDPHONE) DENGAN POLA PERKEMBANGAN SOSIAL ANAK USIA PRASEKOLAH," VII, no. 2, 2019. . [Online]. Available: https://doi.org/10.1080/03004430.2021.1989633.

[11] R. A. Fidalgo, C. Rocha, dan P. Alves-Oliveira, "Smart Toy in Early Childhood and Primary Education: A Systematic Review of Technological and Educational Affordances," Applied Sciences, vol. 11, no. 15, p. 6734, 2021. [Online]. Available: https://doi.org/10.3390/app11156734

[12] Bian, W. Li, H. Jin, J. Li, Y. Li, dan S. Wang, "A Voice Recognition Sensor and Voice Control System in an Intelligent Toy Robot System," Frontiers in Robotics and AI, vol. 8, p. 712517, 2021. [Online]. Available: https://doi.org/10.3389/frobt.2021.712517

[13] C. L. Casas, V. Charisi, K. Groth, dan F. Wijnen, "Influence of a Socially Assistive Robot on Physical Activity, Social Play Behavior, and Toy-Use Behaviors of Children in a Free Play Environment," Frontiers in Robotics and AI, vol. 8, p. 676553, 2021. [Online]. Available: https://doi.org/10.3389/frobt.2021.676553

[14] Fauzan Prasetyo Eka Putra, S. Mishra, V. K. Jain, K. Gyoda, and S. Jain, “An efficient content replacement policy to retain essential content in informationcentric networking based internet of things network,” Ad Hoc Networks, vol. 155, 2024, doi: 10.1016/j.adhoc.2023.103389.

[15] K. Li et al., “When Internet of Things Meets Metaverse: Convergence of Physical and Cyber Worlds,” IEEE Internet Things J., vol. 10, no. 5, pp. 4148–4173, 2023, doi: 10.1109/JIOT.2022.3232845.

[16] M. Malnar and N. Jevtic, “An improvement of AODV protocol for the overhead reduction in scalable dynamic wireless ad hoc networks,” Wirel. Networks, vol. 28, no. 3, pp. 1039–1051, 2022, doi: 10.1007/s11276-022-02890-5.

[17] A. I. Griva et al., “LoRa-Based IoT Network Assessment in Rural and Urban Scenarios,” 2023, mdpi.com. doi: 10.3390/s23031695.

[18] T. Mazhar et al., “Analysis of Challenges and Solutions of IoT in Smart Grids Using AI and Machine Learning Techniques: A Review,” Electron., vol. 12, no. 1, 2023, doi: 10.3390/electronics12010242.

[19] R. A. Putra and A. Ma’arif, “Internet of Things (IoT) Based Speed Monitoring System for Electric Cars,” Bul. Ilm. Sarj. Tek. Elektro, vol. 6, no. 2, pp. 182–189, 2024, doi: 10.12928/biste.v6i2.11317.

[20] Fauzan Prasetyo Eka Putra, J. Seetha, R. Priyadarshini, M. Gopila, and G. Saranya, “IoT-based patient monitoring system for predicting heart disease using deep learning,” Meas. J. Int. Meas. Confed., vol. 218, 2023, doi: 10.1016/j.measurement.2023.113235.doi: https://doi.org/10.71155/fht5vy25

[21] Y. Gil, C. Greaves, J. Hendler, and H. Hirsh, “Interactive Knowledge Acquisition Tools: A Perspective of Individualized Instruction,” in Proc. 24th Annu. Conf. Cognitive Science Association, 2019, pp. 1152–1157.doi: https://doi.org/10.71155/fht5vy25

[22] Z. Liu, L. Huang, and X. Zhang, “Using the Concept of Game-Based Learning in Education,” Int. J. Emerg. Technol. Learn., vol. 15, no. 14, pp. 112–127, 2020.

[23] S. Gunawan, A. A. R. Santosa, dan E. M. S. Sakti, “Analisis Keamanan Jaringan 5G: Ancaman dan Upaya Mitigasi,” TEKINFO, vol. 22, no. 2, hlm. 54–62, Okt 2024, doi: 10.37817/tekinfo.v25i2..

[24] M. Syani, E. A. Firdaus, dan D. Mulyana, “Design a Chicken Coop Monitoring System Based on the Internet of Things,” NUANSA INFORMATIKA, vol. 18, no. 1, hlm. 106–114, 2024, doi: https://doi.org/10.25134/ilkom.v18i1.64.

[25] AWS. (2023). Apa itu 5G?. AmazonWebServices, Inc.. https://aws.amazon.com/id/whatis/5g/. DOI: https://doi.org/10.30811/litek.v21i1.33

[26] V. T. Truong, A. Nayyar, and S. A. Lone, “System performance of wireless sensor network using LoRa-Zigbee hybrid communication,” Comput. Mater. Contin., vol. 68, no. 2, pp. 1615–1635, 2021, doi: 10.32604/cmc.2021.016922.

[27] S. Sadowski and P. Spachos, “Wireless technologies for smart agricultural monitoring using internet of things devices with energy harvesting capabilities,” Comput. Electron. Agric., vol. 172, 2020, doi: 10.1016/j.compag.2020.105338.

[28] Ramadevi, P., Ayyasamy, S., Suryaprakash, Y., Anilkumar, C., Vijayakumar, S., & Sudha, R. (2023). Security for wireless sensor networks using cryptography. Measurement: Sensors, 29(August), 100874. https://doi.org/10.1016/j.measen.2023.100874

[29] Ahmad, R., Wazirali, R., & Abu-Ain, T. (2022). Machine Learning for Wireless Sensor Networks Security: An Overview of Challenges and Issues. Sensors, 22(13). https://doi.org/10.3390/s22134730.

[30] Salmi, S., & Oughdir, L. (2023). Performance evaluation of deep learning techniques for DoS attacks detection in wireless sensor network. Journal of Big Data, 10(1). https://doi.org/10.1186/s40537-023-00692-w.

[31] Guerrero-Sanchez, A. E., Rivas-Araiza, E. A., Gonzalez-Cordoba, J. L., Toledano-Ayala, M., & Takacs, A. (2020). Blockchain mechanism and symmetric encryption in a wireless sensor network. Sensors (Switzerland), 20(10). https://doi.org/10.3390/s20102798.

[32] Ismail, S., Dawoud, D. W., & Reza, H. (2023). Securing Wireless Sensor Networks Using Machine Learning and Blockchain: A Review. Future Internet, 15(6), 1–45. https://doi.org/10.3390/fi15060200.

[33] Oztoprak, A., Hassanpour, R., Ozkan, A., & Oztoprak, K. (2024). Security Challenges, Mitigation Strategies, and Future Trends in Wireless Sensor Networks: A Review. ACM Computing Surveys, 57(4). https://doi.org/10.1145/3706583.

[34] Nancy, P., Muthurajkumar, S., Ganapathy, S., Santhosh Kumar, S. V. N., Selvi, M., & Arputharaj, K. (2020). Intrusion detection using dynamic feature selection and fuzzy temporal decision tree classification for wireless sensor networks. IET Communications, 14(5), 888–895. https://doi.org/10.1049/iet-com.2019.0172.

[35] Nourildean, S. W., Hassib, M. D., & Mohammed, Y. A. (2022). Internet of things based wireless sensor network: a review. Indonesian Journal of Electrical Engineering and Computer Science, 27(1), 246–261. https://doi.org/10.11591/ijeecs.v27.i1.pp246-261.

[36] Mengistu, T. M., Kim, T., & Lin, J. W. (2024). A Survey on Heterogeneity Taxonomy, Security and Privacy Preservation in the Integration of IoT, Wireless Sensor Networks and Federated Learning. Sensors, 24(3). https://doi.org/10.3390/s24030968.

[37] Heidari, A., & Mollah, M. (2024). Assessment of reliability and availability of wireless sensor networks in industrial applications by considering permanent faults. Concurrency and Computation: Practice and Experience, 36(3), e8252. https://doi.org/10.1002/cpe.8252.

[38] Rehman, A., Abdullah, S., Fatima, M., Iqbal, M. W., Almarhabi, K. A., Ashraf, M. U., & Ali, S. (2022). Ensuring Security and Energy Efficiency of Wireless Sensor Network by Using Blockchain. Applied Sciences (Switzerland), 12(21). https://doi.org/10.3390/app122110794.

[39] Hsiao, S. J., & Sung, W. T. (2021). Employing Blockchain Technology to Strengthen Security of Wireless Sensor Networks. IEEE Access, 9, 72326–72341. https://doi.org/10.1109/ACCESS.2021.3079708.

[40] Guerrero-Sanchez, A. E., Rivas-Araiza, E. A., Gonzalez-Cordoba, J. L., Toledano-Ayala, M., & Takacs, A. (2020). Blockchain mechanism and symmetric encryption in a wireless sensor network. Sensors (Switzerland), 20(10). https://doi.org/10.3390/s20102798

[41] Paharia, B., & Bhushan, K. (2019). A comprehensive review of distributed denial of service (DDoS) attacks in fog computing environment. In Handbook of Computer Networks and Cyber Security: Principles and Paradigms. https://doi.org/10.1007/978-3-030-22277-2_20.

[42] Talukder, M. A., Khalid, M., & Sultana, N. (2025). A hybrid machine learning model for intrusion detection in wireless sensor networks leveraging data balancing and dimensionality reduction. Scientific Reports, 15, 4617. https://doi.org/10.1038/s41598-025-87028-1.

[43] Kumar, P., Baliyan, A., Prasad, K. R., Sreekanth, N., Jawarkar, P., Roy, V., & Amoatey, E. T. (2022). Machine Learning Enabled Techniques for Protecting Wireless Sensor Networks by Estimating Attack Prevalence and Device Deployment Strategy for 5G Networks. Wireless Communications and Mobile Computing, 2022. https://doi.org/10.1155/2022/5713092

[44] Fang, W., Zhang, W., Chen, W., Pan, T., Ni, Y., & Yang, Y. (2020). Trust-Based Attack and Defense in Wireless Sensor Networks: A Survey. Wireless Communications and Mobile Computing, 2020. https://doi.org/10.1155/2020/2643546.

[45] Tariq, M. I., Ahmed, S., Memon, N. A., Tayyaba, S., Ashraf, M. W., Nazir, M., Hussain, A., Balas, V. E., & Balas, M. M. (2020). Prioritization of information security controls through fuzzy AHP for cloud computing networks and wireless sensor networks. Sensors (Switzerland), 20(5), 1–36. https://doi.org/10.3390/s20051310.

[46] Ali, S., Humaria, A., Ramzan, M. S., Khan, I., Saqlain, S. M., Ghani, A., Zakia, J., & Alzahrani, B. A. (2020). An efficient cryptographic technique using modified Diffie–Hellman in wireless sensor networks. International Journal of Distributed Sensor Networks, 16(6). https://doi.org/10.1177/1550147720925772.

[47] Moghadam, M. F., Nikooghadam, M., Jabban, M. A. B. Al, Alishahi, M., Mortazavi, L., & Mohajerzadeh, A. (2020). An Efficient Authentication and Key Agreement Scheme Based on ECDH for Wireless Sensor Network. IEEE Access, 8, 73182–73192. https://doi.org/10.1109/ACCESS.2020.2987764

[48] Chandnani, N., & Khairnar, C. N. (2022). An analysis of architecture, framework, security and challenging aspects for data aggregation and routing techniques in IoT WSNs. Theoretical Computer Science, 929(June 2022), 95–113. https://doi.org/10.1016/j.tcs.2022.06.032.

[49] Putra, F. P. E., R.A, M. K., G, M. W. R., & Huda, V. (2025). Analisis Kinerja dan Keamanan Protokol PPTP dan L2TP/IPSec VPN pada Jaringan MikroTik. 8(2), 334–344. https://doi.org/10.29408/jit.v8i2.30230.

[50] Putra, F. P. E., Tamam, A. B., Efendi, R. W., & Muim, Z. (2024). Optimasi Keamanan DNS_ Eksplorasi Optimal dengan Implementasi DNS Security Extensions (DNSSEC). Riset Dan E-Jurnal Manajemen Informatika Komputer, 8(1), 349–358. DOI:10.33395/remik.v8i1.13398.

Published

25-12-2025

How to Cite

Analisis Simulasi Wireless Sensor Network Berbasis Game Interaktif Sebagai Media Pembelajaran. (2025). Karapan Network Journal : Journal Computer Technology and Mobile Ad Hoc Network, 2(01). https://ejournal.omahtabing.com/knj/article/view/126