E-Learning is Effectively Used for Management for IT Service Courses
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This development research ailems to develop learning media (E-Learning) for employee class in management for IT service courses at Metamedia University. E-Learning is designed to improve student learning outcomes, so students can fully understand the material provided. This study uses the Instructional Development Institute development method. IDI procedures are defining, developing, and evaluating. The type of data is primary data where the data obtained from media experts, lecturers and students. Data were analysed using Descriptive Data Analysis Techniques which describe the validity, practicality, and effectiveness of using E-Learning. The results obtained from this research and development are as follows; (1) The validity of E-Learning is stated to be very valid in terms of content and interest with a total validity value of 84%, while the design aspect is stated to be valid with a total value of 85% (2) The practicality of E-Learning is based on the lecturer's response after through validation is stated to be practical with a total score of 87.5%, while the practicality of E-learning based on student responses after going through validation is stated to be practical with a total score of 80% (3) The results obtained from this study are E-Learning is effectively used by employee class students with a graduation rate of 48 student or 89% of 54 students. Based on the findings of this study, it was concluded that E-Learning is valid, practical and effective for use as a learning medium.
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Ali, M., Kaddoum, G., Li, W.-T., Yuen, C., Tariq, M., & Poor, H. V. (2023). A Smart Digital Twin Enabled Security Framework for Vehicle-to-Grid Cyber-Physical Systems. IEEE Transactions on Information Forensics and Security, 18, 5258–5271. Scopus. https://doi.org/10.1109/TIFS.2023.3305916
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Bhola, A., & Kumar, P. (2024). Farm-Level Smart Crop Recommendation Framework Using Machine Learning. Annals of Data Science. Scopus. https://doi.org/10.1007/s40745-024-00534-3
Chen, X., Jiang, J., Li, Z., Qi, H., Li, Q., Liu, J., … Deng, Y. (2023). An online continual object detector on VHR remote sensing images with class imbalance. Engineering Applications of Artificial Intelligence, 117. Scopus. https://doi.org/10.1016/j.engappai.2022.105549
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Du, G., Yao, G., Li, C., & Liu, P. (2022). An Offline-Merge-Online Robot Teaching Method Based on Natural Human-Robot Interaction and Visual-Aid Algorithm. IEEE/ASME Transactions on Mechatronics, 27(5), 2752–2763. Scopus. https://doi.org/10.1109/TMECH.2021.3112722
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Khoiri, A., Sibyan, H., Muryanto, S., Agussuryani, Q., Hannan, I. A., Misbah, M., … Sedon, M. F. (2024). DEVELOPMENT OF E-LEARNING ETHNO SOCIOSCIENTIFIC ISSUES (ESSI) “WASTE AND ITS HANDLING” TO EMPOWER STUDENTS’ CREATIVE THINKING SKILLS. Journal of Engineering Science and Technology, 19(5), 1617–1644. Scopus. Diambil dari Scopus.
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Li, Z., Zuo, C., & Chen, Q. (2023). Deep learning-assisted slightly off-axis digital holographic quantitative phase imaging. Dalam Zhou C., Poon T-C., Cao L., & Yoshikawa H. (Ed.), Proc SPIE Int Soc Opt Eng (Vol. 12768). SPIE. Scopus. https://doi.org/10.1117/12.2688338
Liu, Z., Zhang, Y., Ding, Z., & He, X. (2023). An Online Active Broad Learning Approach for Real-Time Safety Assessment of Dynamic Systems in Nonstationary Environments. IEEE Transactions on Neural Networks and Learning Systems, 34(10), 6714–6724. Scopus. https://doi.org/10.1109/TNNLS.2022.3222265
Lu, R., & Ji, F. (2024). Design and implementation of a virtual teacher teaching system algorithm based on facial expression recognition in the era of big data. Applied Mathematics and Nonlinear Sciences, 9(1). Scopus. https://doi.org/10.2478/amns.2023.2.00053
Luo, Y., Lu, Z., Yin, X., Lu, S., & Weng, Y. (2023). Application Research of Vertical Federated Learning Technology in Banking Risk Control Model Strategy. Proc. - IEEE Int. Conf. Parallel Distrib. Process. Appl., Big Data Cloud Comput., Sustain. Comput. Commun., Soc. Comput. Netw., ISPA/BDCloud/SocialCom/SustainCom, 545–552. Institute of Electrical and Electronics Engineers Inc. Scopus. https://doi.org/10.1109/ISPA-BDCloud-SocialCom-SustainCom59178.2023.00103
Maulana, I. T., & Firdian, F. (2019). Project-based learning model practicality on local network devices installation subject. International Journal of Emerging Technologies in Learning, 14(15), 94–106. https://doi.org/10.3991/ijet.v14i15.10305
Maulana, I. T., & Firdian, F. (2020). Development of Problem-Based Basic Computer Network Teaching Tools. Journal of Education: Theory, Research, and Development, 21, 671–676. http://dx.doi.org/10.17977/jptpp.v5i5.13523
Maulana, I. T., Firdian, F., & Rahmelina, L. (2021). E-Learning effective during the Covid-19 era. Elementary Education Online, 20(2), 179–188. https://doi.org/10.17051/ilkonline.2021.02.20
Mulya, R., & Juwita, M. D. (2022). E-learning Courseware Development for Power Electronics Course. International Journal of Interactive Mobile Technologies, 16(3), 66–81. Scopus. https://doi.org/10.3991/IJIM.V16I03.27723
Nasir, M., Riaz, K., Zulfiqar, M. H., Mateen Fawad, M., Khan, A., Wang, B., & Bermak, A. (2024). Accessible Remote Electronic Education: Affordable DIY Paper-based Tunable RC Oscillator Circuits. IEEE Conf. Technol. Sustain., SusTech, 226–229. Institute of Electrical and Electronics Engineers Inc. Scopus. https://doi.org/10.1109/SusTech60925.2024.10553508
Ni, T., Li, J., Zhang, X., Zuo, C., Wang, W., Xu, W., … Zhao, Q. (2023). Exploiting Contactless Side Channels in Wireless Charging Power Banks for User Privacy Inference via Few-shot Learning. Proc Annu Int Conf Mobile Comput Networking, 1105–1119. Association for Computing Machinery. Scopus. https://doi.org/10.1145/3570361.3613288
Oktavia, Y., & Zaim, M. (2024). Development of the BROSING Model in Scientific Article Writing Learning. International Journal of Information and Education Technology, 14(8), 1078–1089. Scopus. https://doi.org/10.18178/ijiet.2024.14.8.2136
Santos, C., Pedro, L., Carvalho, A. R., & Ferreira, A. L. (2023). Designing and validating the gamification strategy model of a digital platform to promote extracurricular projects in K-12 schools the GENE gamification strategy model. Iberian Conf. Inf. Syst. Technol., CISTI, 2023-June. IEEE Computer Society. Scopus. https://doi.org/10.23919/CISTI58278.2023.10211925
Setyosari, P., Kuswandi, D., & Ulfa, S. (2023). Creative Problem Solving Process Instructional Design in the Context of Blended Learning in Higher Education. Electronic Journal of E-Learning, 21(2), 80–97. Scopus. https://doi.org/10.34190/ejel.21.2.2653
Singh, M., Smitham, P., Jain, S., Day, C., Nijman, T., George, D., … Nimon, G. (2024). Exploring the viability of Virtual Reality as a teaching method for knee aspiration. Virtual Reality, 28(3). Scopus. https://doi.org/10.1007/s10055-024-01027-7
Siswanto, J., Harjanta, A. T. J., Suminar, I., & Suyidno, S. (2022). Digital Learning Integrated with Local Wisdom to Improve Students’ Physics Problem-Solving Skills and Digital Literacy. J. Phys. Conf. Ser., 2392(1). Institute of Physics. Scopus. https://doi.org/10.1088/1742-6596/2392/1/012025
Tambak, S., Hamzah, M. L., Purwati, A. A., Irawan, Y., & Umam, M. I. H. (2022). Effectiveness of Blended Learning Model Based on Problem-Based Learning in Islamic Studies Course. International Journal of Instruction, 15(2), 775–792. Scopus. https://doi.org/10.29333/iji.2022.15242a
Yaniawati, P., Maat, S. M., Supianti, I. I., & Fisher, D. (2022). Mathematics mobile blended learning development: Student-oriented high order thinking skill learning. European Journal of Educational Research, 11(1), 69–81. Scopus. https://doi.org/10.12973/EU-JER.11.1.69
Yanto, D. T. P., Kabatiah, M., Sardi, J., & Zaswita, H. (2024). Evaluating the Practicality of Android-Based Courseware in Enhancing Electrical Circuit Proficiency among Vocational Students. International Journal of Interactive Mobile Technologies, 18(2), 27–42. Scopus. https://doi.org/10.3991/ijim.v18i02.46341
Yar, A., Henna, S., McAfee, M., & Gharbia, S. S. (2023). Air Pollution Monitoring Using Online Abuhmaid, A. M. (2020). The efficiency of online learning environment for implementing project-based learning: Students’ perceptions. International Journal of Higher Education, 9(5), 76–83. https://doi.org/10.5430/ijhe.v9n5p76
Ali, M., Kaddoum, G., Li, W.-T., Yuen, C., Tariq, M., & Poor, H. V. (2023). A Smart Digital Twin Enabled Security Framework for Vehicle-to-Grid Cyber-Physical Systems. IEEE Transactions on Information Forensics and Security, 18, 5258–5271. Scopus. https://doi.org/10.1109/TIFS.2023.3305916
Bao, L., Tran, S. V.-T., Nguyen, T. L., Pham, H. C., Lee, D., & Park, C. (2022). Cross-platform virtual reality for real-time construction safety training using immersive web and industry foundation classes. Automation in Construction, 143. Scopus. https://doi.org/10.1016/j.autcon.2022.104565
Bhola, A., & Kumar, P. (2024). Farm-Level Smart Crop Recommendation Framework Using Machine Learning. Annals of Data Science. Scopus. https://doi.org/10.1007/s40745-024-00534-3
Chen, X., Jiang, J., Li, Z., Qi, H., Li, Q., Liu, J., … Deng, Y. (2023). An online continual object detector on VHR remote sensing images with class imbalance. Engineering Applications of Artificial Intelligence, 117. Scopus. https://doi.org/10.1016/j.engappai.2022.105549
Cheng, Y. H. G., & Fur, K. T. (2023). From Internet Celebrity to Teacher – The Evolutionary Challenge of Design Courses. Dalam Coman A. & Vasilache S. (Ed.), Lect. Notes Comput. Sci.: Vol. 14026 LNCS (hlm. 31–48). Springer Science and Business Media Deutschland GmbH. Scopus. https://doi.org/10.1007/978-3-031-35927-9_3
Dahal, N., Pant, B. P., Luitel, B. C., Khadka, J., Shrestha, I. M., Manandhar, N. K., & Rajbanshi, R. (2023). Development and Evaluation of E-Learning Courses: Validity, Practicality, and Effectiveness. International Journal of Interactive Mobile Technologies, 17(12), 40–60. Scopus. https://doi.org/10.3991/ijim.v17i12.40317
Du, G., Yao, G., Li, C., & Liu, P. (2022). An Offline-Merge-Online Robot Teaching Method Based on Natural Human-Robot Interaction and Visual-Aid Algorithm. IEEE/ASME Transactions on Mechatronics, 27(5), 2752–2763. Scopus. https://doi.org/10.1109/TMECH.2021.3112722
Ferrer, G. R., & Elipane, L. E. (2024). Assessing the Effectiveness of Cerebry as an Online Instructional Tool in Enhancing Student Learning in Mathematics. ACM Int. Conf. Proc. Ser., 222–227. Association for Computing Machinery. Scopus. https://doi.org/10.1145/3670013.3670063
Huang, X. (2023). Design and Application of English Assisted Learning System Based on Mobile Learning Platform. Dalam Macintyre J., Zhao J., & Ma X. (Ed.), Procedia Comput. Sci. (Vol. 228, hlm. 231–240). Elsevier B.V. Scopus. https://doi.org/10.1016/j.procs.2023.11.027
Khabbali, H., Seghroucheni, Y. Z., & Ziti, S. (2023). Agile pedagogy: Using scrum and project based learning for enhanced educational experiences. Colloq. Inform. Sci. Technol., CIST, 445–449. Institute of Electrical and Electronics Engineers Inc. Scopus. https://doi.org/10.1109/CiSt56084.2023.10410018
Khoiri, A., Sibyan, H., Muryanto, S., Agussuryani, Q., Hannan, I. A., Misbah, M., … Sedon, M. F. (2024). DEVELOPMENT OF E-LEARNING ETHNO SOCIOSCIENTIFIC ISSUES (ESSI) “WASTE AND ITS HANDLING” TO EMPOWER STUDENTS’ CREATIVE THINKING SKILLS. Journal of Engineering Science and Technology, 19(5), 1617–1644. Scopus. Diambil dari Scopus.
Kumar, D., & Koul, S. (2024). Investigating students’ perception about LMS-based online examination practices. International Journal of Information and Learning Technology, 41(1), 36–60. Scopus. https://doi.org/10.1108/IJILT-12-2022-0219
Lai, C. (2023). An Optimal VR-Game Content Control Strategy based on User Physiological Conditions. Int. Conf. Eng. Emerg. Technol., ICEET. Dipresentasikan pada 9th International Conference on Engineering and Emerging Technology, ICEET 2023. Institute of Electrical and Electronics Engineers Inc. Scopus. https://doi.org/10.1109/ICEET60227.2023.10525841
Lei, W., Wang, S., Zhang, N., Wen, H., Hou, W., Lin, H., & Han, Z. (2022). Adaptive Decision-Making Framework for Federated Learning Tasks in Multi-Tier Computing. INFOCOM WKSHPS - IEEE Conf. Comput. Commun. Workshops. Dipresentasikan pada INFOCOM WKSHPS 2022 - IEEE Conference on Computer Communications Workshops. Institute of Electrical and Electronics Engineers Inc. Scopus. https://doi.org/10.1109/INFOCOMWKSHPS54753.2022.9798193
Levy, E., Maman, N., Shabtai, A., & Elovici, Y. (2024). AnoMili: Spoofing Hardening and Explainable Anomaly Detection for the 1553 Military Avionic Bus. IEEE Transactions on Aerospace and Electronic Systems, 60(6), 7738–7753. Scopus. https://doi.org/10.1109/TAES.2024.3418757
Li, Z., Zuo, C., & Chen, Q. (2023). Deep learning-assisted slightly off-axis digital holographic quantitative phase imaging. Dalam Zhou C., Poon T-C., Cao L., & Yoshikawa H. (Ed.), Proc SPIE Int Soc Opt Eng (Vol. 12768). SPIE. Scopus. https://doi.org/10.1117/12.2688338
Liu, Z., Zhang, Y., Ding, Z., & He, X. (2023). An Online Active Broad Learning Approach for Real-Time Safety Assessment of Dynamic Systems in Nonstationary Environments. IEEE Transactions on Neural Networks and Learning Systems, 34(10), 6714–6724. Scopus. https://doi.org/10.1109/TNNLS.2022.3222265
Lu, R., & Ji, F. (2024). Design and implementation of a virtual teacher teaching system algorithm based on facial expression recognition in the era of big data. Applied Mathematics and Nonlinear Sciences, 9(1). Scopus. https://doi.org/10.2478/amns.2023.2.00053
Luo, Y., Lu, Z., Yin, X., Lu, S., & Weng, Y. (2023). Application Research of Vertical Federated Learning Technology in Banking Risk Control Model Strategy. Proc. - IEEE Int. Conf. Parallel Distrib. Process. Appl., Big Data Cloud Comput., Sustain. Comput. Commun., Soc. Comput. Netw., ISPA/BDCloud/SocialCom/SustainCom, 545–552. Institute of Electrical and Electronics Engineers Inc. Scopus. https://doi.org/10.1109/ISPA-BDCloud-SocialCom-SustainCom59178.2023.00103
Maulana, I. T., & Firdian, F. (2019). Project-based learning model practicality on local network devices installation subject. International Journal of Emerging Technologies in Learning, 14(15), 94–106. https://doi.org/10.3991/ijet.v14i15.10305
Maulana, I. T., & Firdian, F. (2020). Development of Problem-Based Basic Computer Network Teaching Tools. Journal of Education: Theory, Research, and Development, 21, 671–676. http://dx.doi.org/10.17977/jptpp.v5i5.13523
Maulana, I. T., Firdian, F., & Rahmelina, L. (2021). E-Learning effective during the Covid-19 era. Elementary Education Online, 20(2), 179–188. https://doi.org/10.17051/ilkonline.2021.02.20
Mulya, R., & Juwita, M. D. (2022). E-learning Courseware Development for Power Electronics Course. International Journal of Interactive Mobile Technologies, 16(3), 66–81. Scopus. https://doi.org/10.3991/IJIM.V16I03.27723
Nasir, M., Riaz, K., Zulfiqar, M. H., Mateen Fawad, M., Khan, A., Wang, B., & Bermak, A. (2024). Accessible Remote Electronic Education: Affordable DIY Paper-based Tunable RC Oscillator Circuits. IEEE Conf. Technol. Sustain., SusTech, 226–229. Institute of Electrical and Electronics Engineers Inc. Scopus. https://doi.org/10.1109/SusTech60925.2024.10553508
Ni, T., Li, J., Zhang, X., Zuo, C., Wang, W., Xu, W., … Zhao, Q. (2023). Exploiting Contactless Side Channels in Wireless Charging Power Banks for User Privacy Inference via Few-shot Learning. Proc Annu Int Conf Mobile Comput Networking, 1105–1119. Association for Computing Machinery. Scopus. https://doi.org/10.1145/3570361.3613288
Oktavia, Y., & Zaim, M. (2024). Development of the BROSING Model in Scientific Article Writing Learning. International Journal of Information and Education Technology, 14(8), 1078–1089. Scopus. https://doi.org/10.18178/ijiet.2024.14.8.2136
Santos, C., Pedro, L., Carvalho, A. R., & Ferreira, A. L. (2023). Designing and validating the gamification strategy model of a digital platform to promote extracurricular projects in K-12 schools the GENE gamification strategy model. Iberian Conf. Inf. Syst. Technol., CISTI, 2023-June. IEEE Computer Society. Scopus. https://doi.org/10.23919/CISTI58278.2023.10211925
Setyosari, P., Kuswandi, D., & Ulfa, S. (2023). Creative Problem Solving Process Instructional Design in the Context of Blended Learning in Higher Education. Electronic Journal of E-Learning, 21(2), 80–97. Scopus. https://doi.org/10.34190/ejel.21.2.2653
Singh, M., Smitham, P., Jain, S., Day, C., Nijman, T., George, D., … Nimon, G. (2024). Exploring the viability of Virtual Reality as a teaching method for knee aspiration. Virtual Reality, 28(3). Scopus. https://doi.org/10.1007/s10055-024-01027-7
Siswanto, J., Harjanta, A. T. J., Suminar, I., & Suyidno, S. (2022). Digital Learning Integrated with Local Wisdom to Improve Students’ Physics Problem-Solving Skills and Digital Literacy. J. Phys. Conf. Ser., 2392(1). Institute of Physics. Scopus. https://doi.org/10.1088/1742-6596/2392/1/012025
Tambak, S., Hamzah, M. L., Purwati, A. A., Irawan, Y., & Umam, M. I. H. (2022). Effectiveness of Blended Learning Model Based on Problem-Based Learning in Islamic Studies Course. International Journal of Instruction, 15(2), 775–792. Scopus. https://doi.org/10.29333/iji.2022.15242a
Yaniawati, P., Maat, S. M., Supianti, I. I., & Fisher, D. (2022). Mathematics mobile blended learning development: Student-oriented high order thinking skill learning. European Journal of Educational Research, 11(1), 69–81. Scopus. https://doi.org/10.12973/EU-JER.11.1.69
Yanto, D. T. P., Kabatiah, M., Sardi, J., & Zaswita, H. (2024). Evaluating the Practicality of Android-Based Courseware in Enhancing Electrical Circuit Proficiency among Vocational Students. International Journal of Interactive Mobile Technologies, 18(2), 27–42. Scopus. https://doi.org/10.3991/ijim.v18i02.46341
Yar, A., Henna, S., McAfee, M., & Gharbia, S. S. (2023). Air Pollution Monitoring Using Online Recurrent Extreme Learning Machine. Ir. Conf. Artif. Intell. Cogn. Sci., AICS. Dipresentasikan pada 2023 31st Irish Conference on Artificial Intelligence and Cognitive Science, AICS 2023. Institute of Electrical and Electronics Engineers Inc. Scopus. https://doi.org/10.1109/AICS60730.2023.10470534
Yu, X., Ye, K., Chen, Z., Yi, J., Chen, X., Liu, B., & Xu, C. (2023). A Semi-supervised Learning Based Method for Identifying Idle Virtual Machines in Managed Cloud: Application and Practice. Dalam Zhang Y. & Zhang L.J. (Ed.), Lect. Notes Comput. Sci.: Vol. 14209 LNCS (hlm. 65–82). Springer Science and Business Media Deutschland GmbH. Scopus. https://doi.org/10.1007/978-3-031-44836-2_5
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