Implementation of Digital Signage with DistilBERT -Based Question Answering in an Islamic School in Bandung Regency
Keywords:
digital signage, question answering, Islamic schools, Internet of Things, DistilBERTAbstract
Digital signage plays an important role in the world, especially education and offices by improving communication, engagement, and information dissemination. However, the implementation of digital signage in an Islamic school environment is a research opportunity. This community service research aims to implement a digital signage in an Islamic School. Also, we developed question answering (QA) with DistilBERT that can be applied to digital signage and can answer questions about Islam. The first step of this research is to design and train DistilBERT-based QA using the Stanford Question Answering Dataset (SQuAD) and then test it using several contexts (C), questions (Q), and answers (A). Next is to design an Internet of Things (IoT)-based digital signage that utilizes proximity sensors, Arduino Uno, and a cloud server. We then developed a state-of-the-art digital signage utilizing LEDs. Then we coordinate with Islamic Schools to deploy. In the next step, we visited Islamic Schools, conducted deployment and counseling. The test results showed that, after training DistilBERT on SQuAD, QA had an accuracy of 83.3% after being tested on six Qs and five Cs. At the deployment stage of digital signage, consultation, deployment, and counseling went smoothly with good acceptance from the Assuruur Islamic Boarding School.
References
[1] L. Meng-Chew, O. Lee-Yeng, and N. Jian-Wei, “Digital Signage-Augmented Roadshow (DiSAR),” in Proc. 2023 10th Int. Conf. ICT Smart Soc. (ICISS), IEEE, 2023, pp. 1–8. [Online]. Available: https://ieeexplore.ieee.org/abstract/document/10291352/
[2] S. Saini, S. Bansal, and P. Verma, “Use me or use me not? A communication tool—digital signages for fashion apparel stores,” Community & Communication, Amity School of Communication, vol. 15, 2022, pp. 2456–9011.
[3] V. Roger-Monzó, M. Guijarro-García, and M. Martí-Sánchez, “Digital signage: An experience of innovation in higher education,” Multidisciplinary Journal for Education, Social and Technological Sciences, vol. 2, no. 2, pp. 1–13, 2015.
[4] J. Schmank and R. Buchkremer, “The application of artificial intelligence to elaborate the role of digital signage in public and higher education,” in INTED2023 Proc., IATED, 2023, pp. 2110–2115. [Online]. Available: https://library.iated.org/view/SCHMANK2023APP
[5] M. Müller, N. Otero, and M. Milrad, “Guiding the design and implementation of interactive public displays in educational settings,” Journal of Computers in Education, vol. 11, no. 3, pp. 823–854, Sep. 2024, doi: 10.1007/s40692-023-00280-0.
[6] M. M. A. R. Abd HadiBorham, W. H. Abdullah, M. Akramin Kamarulzaman, and A. G. Don, “Significant of information needs towards Muslim communities based on the mosque digital information board in Malaysia.” [Online]. Available: https://www.researchgate.net/profile/Abd-Bin-Borham/publication/362358837_Significant-of-Information-Needs-towards-Muslim-Communities-Base-on-the-Mosque-Digital-Information-Board-in-Malaysia/links/62e545b33c0ea878876ac2a0/Significant-of-Information-Needs-towards-Muslim-Communities-Base-on-the-Mosque-Digital-Information-Board-in-Malaysia.pdf
[7] A. Deni and M. Sa’diyah, “Digital-based learning planning at Baiturrahman Islamic boarding school in the academic year 2024/2025,” At Turots: Jurnal Pendidikan Islam, pp. 120–131, 2024.
[8] M. Witkowski and A. Kapczyński, “Research on the development of digital signage systems and the factors that influence the effectiveness of the message,” Scientific Papers of Silesian University of Technology. Organization & Management, no. 186, 2023. [Online]. Available: https://managementpapers.polsl.pl/wp-content/uploads/2024/02/186-Witkowski-Kapczy%C5%84ski.pdf
[9] D. Park, “Digital signage with motion graphics,” Journal of Digital Convergence, vol. 18, no. 2, pp. 377–383, 2020.
[10] R. R. Tanjung, A. A. Ritonga, B. M. Abdullah, N. A. Siregar, and A. Armilah, “Transformasi digital dalam pendidikan: Meningkatkan kualitas pembelajaran melalui teknologi,” Sinar Dunia: Jurnal Riset Sosial Humaniora dan Ilmu Pendidikan, vol. 3, no. 2, pp. 211–217, 2024.
[11] T. T. Bui and T. S. Nguyen, “The survey of digital transformation in education: A systematic review,” International Journal of TESOL & Education, vol. 3, no. 4, pp. 32–51, 2023.
[12] N. Putri, M. Yanto, M. Istan, and D. Destriani, “Revolusi teknologi dalam pendidikan Islam di zaman globalisasi,” Tarbiyatuna: Kajian Pendidikan Islam, vol. 8, no. 2, pp. 214–231, 2024.
[13] A. Sumarna, E. S. Fatimah, and Q. Y. Zaqiah, “Utilization of educational technology in Islamic education,” EDUTEC: Journal of Education and Technology, vol. 7, no. 3, pp. 480–487, 2024.
[14] S. Saini, S. Bansal, and P. Verma, “Use me or use me not? A communication tool—digital signages for fashion apparel stores,” Community & Communication, Amity School of Communication, vol. 15, 2022, pp. 2456–9011.
[15] S. Phenix, “Broadened applications of digital signage create truly immersive displays,” Information Display, vol. 40, no. 5, p. 6, Sep. 2024, doi: 10.1002/msid.1513.
[16] M. O. Nugroho and A. B. Cahyono, “Perancangan UI/UX digital signage untuk peningkatan akses informasi di Fakultas Teknologi Industri UII,” EDUSAINTEK: Jurnal Pendidikan, Sains dan Teknologi, vol. 11, no. 2, pp. 445–462, 2024.
[17] B. C. H. Reddy, K. R. Preetham, S. Alosha, G. S. D. Naidu, N. Rajesh, and G. K. Walia, “IoT-based multilingual and multicolored scrolling display,” in Proc. 2024 2nd World Conf. Communication & Computing (WCONF), IEEE, 2024, pp. 1–6. [Online]. Available: https://ieeexplore.ieee.org/abstract/document/10692228/
[18] C. Xing, “Perspective of proximity sensors on robots using cross-thought,” Highlights in Science, Engineering and Technology, vol. 38, pp. 875–887, 2023.
[19] G. D. Wicaksana, M. Abdurohman, and A. G. Putrada, “Peningkatan quality of experience pada permainan online multiplayer berbasis Arduino dengan menggunakan MQTT server,” Jurnal Teknologi dan Sistem Komputer, vol. 8, no. 1, pp. 36–43, 2020.
[20] A. Burrello, M. Scherer, M. Zanghieri, F. Conti, and L. Benini, “A microcontroller is all you need: Enabling transformer execution on low-power IoT endnodes,” in Proc. 2021 IEEE Int. Conf. Omni-Layer Intelligent Systems (COINS), IEEE, 2021, pp. 1–6. [Online]. Available: https://ieeexplore.ieee.org/abstract/document/9524173/
[21] A. Pramanick, Y. Hou, S. M. Mohammad, and I. Gurevych, “The nature of NLP: Analyzing contributions in NLP papers,” arXiv preprint arXiv:2409.19505, Sep. 2024, doi: 10.48550/arXiv.2409.19505.
[22] K. S. Prasanna, S. Lokesh, G. Chandramouli, N. Vimala, M. Puneeth, and P. D. S. S. Chandranath, “BERT-QA: Empowering intelligent question answering with NLP and entity recognition,” in Proc. 2024 3rd Int. Conf. Applied Artificial Intelligence and Computing (ICAAIC), IEEE, 2024, pp. 1006–1010. [Online]. Available: https://ieeexplore.ieee.org/abstract/document/10575242/
[23] A. G. Putrada, N. Alamsyah, and M. N. Fauzan, “BERT for sentiment analysis on Rotten Tomatoes reviews,” in Proc. 2023 Int. Conf. Data Science and Its Applications (ICoDSA), IEEE, 2023, pp. 111–116. [Online]. Available: https://ieeexplore.ieee.org/abstract/document/10276800/
[24] A. G. Putrada, N. Alamsyah, S. F. Pane, M. N. Fauzan, and D. Perdana, “Knowledge distillation for a lightweight deep learning-based indoor positioning system on edge environments,” in Proc. 2023 Int. Seminar Intelligent Technology and Its Applications (ISITIA), IEEE, 2023, pp. 370–375. [Online]. Available: https://ieeexplore.ieee.org/abstract/document/10220996/
[25] V. Kumari, S. Keshari, Y. Sharma, and L. Goel, “Context-based question answering system with suggested questions,” in Proc. 2022 12th Int. Conf. Cloud Computing, Data Science & Engineering (Confluence), IEEE, 2022, pp. 368–373. [Online]. Available: https://ieeexplore.ieee.org/abstract/document/9734207/
[26] Traditional and Innovative Scientific Research: Domestic and Foreign Experience. Publishing House “Baltija Publishing,” 2024, doi: 10.30525/978-9934-26-436-8.
[27] J. K. Meena and R. K. Banyal, “Incorporating an attention layer in deep learning models to enhance short-term stock price predictions,” 2024. [Online]. Available: https://www.researchsquare.com/article/rs-5241185/latest
[28] R. R. M. Irvan, M. Abdurohman, and A. G. Putrada, “Designing a monitoring and prediction system of water quality pollution using artificial neural networks for freshwater fish cultivation in reservoirs,” in Proc. Sixth Int. Congress Information and Communication Technology, vol. 236, X.-S. Yang, S. Sherratt, N. Dey, and A. Joshi, Eds., Lecture Notes in Networks and Systems. Singapore: Springer, 2022, pp. 469–476, doi: 10.1007/978-981-16-2380-6_41.
[29] A. Gupta, A. Ozdemir, and G. Anumanchipalli, “Re-introducing LayerNorm: Geometric meaning, irreversibility and a comparative study with RMSNorm,” arXiv preprint arXiv:2409.12951, Sep. 2024, doi: 10.48550/arXiv.2409.12951.
[30] Y. Zhou, M. Fritz, and M. Keuper, “MultiMax: Sparse and multi-modal attention learning,” arXiv preprint arXiv:2406.01189, Jan. 2025, doi: 10.48550/arXiv.2406.01189.
[31] A. Colley, L. Ventä-Olkkonen, F. Alt, and J. Häkkilä, “Insights from deploying see-through augmented reality signage in the wild,” in Proc. 4th Int. Symp. Pervasive Displays, Saarbrücken, Germany, ACM, Jun. 2015, pp. 179–185, doi: 10.1145/2757710.2757730.
[32] H. S. Kim and J. K. Paik, “A study on effective information delivery of digital sign systems in general hospitals,” in Korea Science and Art Forum, The Korean Society of Science & Art, 2015, pp. 281–292. [Online]. Available: https://koreascience.kr/article/JAKO201515856009503.page
[33] Z. Zhang, Y. Takahashi, M. Fujimoto, Y. Arakawa, and K. Yasumoto, “Investigating user reactions to interactive-signage-based stimulation toward behavior change,” in Proc. 2018 11th Int. Conf. Mobile Computing and Ubiquitous Network (ICMU), IEEE, 2018, pp. 1–6. [Online]. Available: https://ieeexplore.ieee.org/abstract/document/8653587/
[34] Z. Koto, “Interactive digital signage architecture to improve user interaction on tourism information services,” in Proc. 2016 Int. Symp. Electronics and Smart Devices (ISESD), IEEE, 2016, pp. 380–385. [Online]. Available: https://ieeexplore.ieee.org/abstract/document/7886752/
[35] W. Daryono, “The use of digital signage as media campus information (Penggunaan digital signage sebagai media informasi kampus),” Pekommas, vol. 3, no. 1, 2018.
[36] D. Macrì, A. F. Gentile, and P. Sabatino, “An IoT-based approach to expert recommendation in community question answering for disaster recovery,” in Proc. 2023 IEEE Int. Conf. Data Mining Workshops (ICDMW), IEEE, 2023, pp. 860–867. [Online]. Available: https://ieeexplore.ieee.org/abstract/document/10411653/
[37] R. Zhang and M. Xie, “A knowledge graph question answering approach to IoT forensics,” in Proc. 8th ACM/IEEE Conf. Internet of Things Design and Implementation, San Antonio, TX, USA, ACM, May 2023, pp. 446–447, doi: 10.1145/3576842.3589161.
[38] E. Leroux and P.-C. Pupion, “Smart territories and IoT adoption by local authorities: A question of trust, efficiency, and relationship with the citizen-user-taxpayer,” Technological Forecasting and Social Change, vol. 174, p. 121195, 2022.
[39] K. Shimoda, D. Diefenbach, K. Singh, A. Taya, Y. Tobe, and P. Maret, “RW-QAnswer: An assisting system for intelligent environments using semantic technology,” Journal of Reliable Intelligent Environments, vol. 6, pp. 215–231, 2020.
[40] R. Liu and Z. Dong, “A study of user experience in knowledge-based QA chatbot design,” in Intelligent Human Systems Integration 2019, vol. 903, W. Karwowski and T. Ahram, Eds., Advances in Intelligent Systems and Computing. Cham, Switzerland: Springer, 2019, pp. 589–593, doi: 10.1007/978-3-030-11051-2_89.
[41] P. Bazelais, D. J. Lemay, and T. Doleck, “User acceptance and adoption dynamics of ChatGPT in educational settings,” EURASIA Journal of Mathematics, Science and Technology Education, vol. 20, no. 2, p. em2393, 2024.
[42] I. Baroni, G. R. Calegari, D. Scandolari, and I. Celino, “AI-TAM: A model to investigate user acceptance and collaborative intention in human-in-the-loop AI applications,” Human Computation, vol. 9, no. 1, pp. 1–21, 2022.
[43] Z. Li, P. Sharma, X. H. Lu, J. C. K. Cheung, and S. Reddy, “Using interactive feedback to improve the accuracy and explainability of question answering systems post-deployment,” in Findings of the Association for Computational Linguistics: ACL 2022, 2022, pp. 926–937, doi: 10.18653/v1/2022.findings-acl.75.
[44] S. Perlman-Arrow, N. Loo, N. Bobrovitz, T. Yan, and R. K. Arora, “A real-world evaluation of the implementation of NLP technology in abstract screening of a systematic review,” Research Synthesis Methods, vol. 14, no. 4, pp. 608–621, Jul. 2023, doi: 10.1002/jrsm.1636.
