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Transformasi Pendidikan Digital 5.0 melalui Integrasi Inovasi Ilmu Pengetahuan dan Teknologi
Corresponding Author(s) : Muhammad Yusuf
Jurnal MENTARI: Manajemen, Pendidikan dan Teknologi Informasi,
Vol. 2 No. 1 (2023): September
Abstract
Pendidikan Digital 5.0 menggabungkan inovasi ilmu pengetahuan dan teknologi untuk menciptakan
lingkungan belajar yang efektif, interaktif, dan relevan. Penelitian ini bertujuan untuk menggambarkan peran
transformasi pendidikan digital 5.0 melalui integrasi inovasi ilmu pengetahuan dan teknologi. Studi ini
menggunakan metode penelitian kualitatif dengan pendekatan studi literatur. Data dari sumber literatur relevan
digunakan untuk memperoleh pemahaman tentang konsep pendidikan digital 5.0 dan integrasi inovasi ilmu
pengetahuan dan teknologi dalam konteks pendidikan. Hasil penelitian menunjukkan bahwa pendidikan digital
5.0 memberikan peluang baru dalam belajar dan mengajar. Integrasi inovasi ilmu pengetahuan dan teknologi
menciptakan ekosistem pembelajaran berbasis teknologi canggih seperti kecerdasan buatan, pembelajaran
mesin, realitas virtual, dan internet of things. Pendekatan ini meningkatkan motivasi, interaksi, dan partisipasi
siswa. Selain itu, integrasi inovasi ilmu pengetahuan dan teknologi juga mendorong strategi pembelajaran
inovatif seperti flipped classroom, blended learning, dan personalized learning. Guru dapat menghadirkan
konten pendidikan yang menarik dan relevan serta memfasilitasi kolaborasi dan komunikasi yang efektif antara
guru dan siswa. Namun, transformasi pendidikan digital 5.0 juga menghadapi tantangan. Persiapan yang
berkelanjutan diperlukan untuk mempersiapkan guru dan siswa dalam menguasai dan memanfaatkan teknologi
secara optimal. Privasi dan keamanan penggunaan teknologi digital juga harus diperhatikan. Kesimpulannya,
transformasi pendidikan digital 5.0 melalui integrasi inovasi ilmu pengetahuan dan teknologi meningkatkan
kualitas pendidikan. Dengan teknologi canggih dan strategi pembelajaran inovatif, pendidikan digital 5.0
menciptakan lingkungan belajar yang interaktif, kreatif, dan adaptif. Tantangan dalam implementasi teknologi
juga harus diatasi agar potensi penuh pendidikan digital 5.0 dapat terwujud.
Keywords
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- U. Rahardja, T. Hariguna, and Q. Aini, “Understanding the impact of determinants in game learning acceptance: An empirical study,” International Journal of Education and Practice, vol. 7, no. 3, pp. 136–145, 2019, doi: 10.18488/journal.61.2019.73.136.145.
- N. Lutfiani, S. Wijono, U. Rahardja, A. Iriani, Q. Aini, and R. A. D. Septian, “A Bibliometric Study : Recommendation based on Artificial Intelligence for iLearning Education,” Aptisi Transactions on Technopreneurship (ATT), vol. 5, no. 2, pp. 112–119, Nov. 2022, doi: 10.34306/att.v5i2.279.
- H. Haryani, S. M. Wahid, and A. Fitriani, “Analisa Peluang Penerapan Teknologi Blockchain dan Gamifikasi pada Pendidikan,” Jurnal MENTARI: Manajemen, Pendidikan dan Teknologi Informasi, vol. 1, no. 2, pp. 163–174, 2023.
- N. I. Juwita, W. E. Setianingsih, and R. Rusdiyanto, “PENGARUH MOTIVASI, PENGALAMAN, DAN DISIPLIN KERJA TERHADAP KINERJA KARYAWAN DI PT. NOR COFFEE INDONESIA,” Jurnal Mahasiswa Entrepreneurship (JME), vol. 2, no. 2, pp. 155–165, 2023.
- U. Rahardja, M. A. Ngadi, R. Budiarto, Q. Aini, M. Hardini, and F. P. Oganda, “Education exchange storage protocol: Transformation into decentralized learning platform,” in Frontiers in Education, Frontiers, 2021, p. 477.
- A. K. Driscoll and C. P. Valenzuela, “Maternal Characteristics and Infant Outcomes of Women Born in and Outside the United States: United States, 2020,” 2022.
- J. K. Ahmad Dahlan et al., “SEMINAR NASIONAL PENDIDIKAN Fakultas Ilmu Pendidikan Universitas Muhammadiyah Jakarta IMPLEMENTASI PENDIDIKAN KARAKTER DI ABAD 21,” 2019.
- M. R. Anwar, F. P. Oganda, N. P. L. Santoso, and M. Fabio, “Artificial Intelligence that Exists in the Human Mind,” International Transactions on Artificial Intelligence, vol. 1, no. 1, pp. 28–42, 2022.
- Q. Aini et al., “Security Level Significance in DApps Blockchain-Based Document Authentication,” Aptisi Transactions on Technopreneurship (ATT), vol. 4, no. 3, pp. 292–305, 2022.
- M. Taufiqurrohman and M. Yusuf, “Pemanfaatan Energi Terbarukan dalam Pengolahan Daur Ulang Limbah,” Jurnal MENTARI: Manajemen, Pendidikan dan Teknologi Informasi, vol. 1, no. 1, pp. 46–57, 2022.
- T. Jehaman, “HUBUNGAN TINGKAT PENGETAHUAN, SIKAP DAN PENGALAMAN PERAWAT TERHADAP PERILAKU PENCEGAHAN INFEKSI DALAM PERAWATAN LUKA POST OPERASI SECTIO CAESAREA DI RSUD SAWERIGADING PALOPO TAHUN 2022,” Jurnal Kesehatan Luwu Raya, vol. 9, no. 2, pp. 90–99, 2023.
- P. P. Ray, D. Dash, K. Salah, and N. Kumar, “Blockchain for IoT-based healthcare: background, consensus, platforms, and use cases,” IEEE Syst J, vol. 15, no. 1, pp. 85–94, 2020.
- S. Kosasi, S. Millah, and N. P. L. Santoso, “Manajemen dalam Konsep dan Prinsip Pengelolaan Pendidikan menggunakan Komputasi Awan,” Jurnal MENTARI: Manajemen, Pendidikan dan Teknologi Informasi, vol. 1, no. 1, pp. 38–45, 2022.
- Q. Aini, U. Rahardja, N. Puji, L. Santoso, and A. Oktariyani, “APLIKASI BERBASIS BLOCKCHAIN DALAM DUNIA PENDIDIKAN DENGAN METODE SYSTEMATICS REVIEW,” 2021.
- M. Rakhmansyah, U. Rahardja, N. P. L. Santoso, A. Khoirunisa, and A. Faturahman, “Smart Digital Signature berbasis Blockchain pada Pendidikan Tinggi menggunakan Metode SWOT,” ADI Bisnis Digital Interdisiplin Jurnal, vol. 2, no. 1 Juni, pp. 39–47, 2021.
- P. Misra and A. S. Yadav, “Improving the classification accuracy using recursive feature elimination with cross-validation,” Int. J. Emerg. Technol, vol. 11, no. 3, pp. 659–665, 2020.
- R. Rahayu, S. Iskandar, and Y. Abidin, “Inovasi Pembelajaran Abad 21 dan Penerapannya di Indonesia,” Jurnal Basicedu, vol. 6, no. 2, pp. 2099–2104, Feb. 2022, doi: 10.31004/basicedu.v6i2.2082.
- S. Yoon et al., “Working through an ‘infodemic’: The impact of COVID-19 news consumption on employee uncertainty and work behaviors.,” Journal of Applied Psychology, vol. 106, no. 4, p. 501, 2021.
- W. W. C. Leo, G. Laud, and C. Y. Chou, “Digital transformation for crisis preparedness: service employees’ perspective,” Journal of Services Marketing, vol. 37, no. 3, pp. 351–370, 2023.
- M. Cavallone and R. Palumbo, “Debunking the myth of industry 4.0 in health care: insights from a systematic literature review,” The TQM Journal, vol. 32, no. 4, pp. 849–868, 2020.
- U. Rahardja, Q. Aini, D. Manongga, I. Sembiring, and I. D. Girinzio, “Implementation of Tensor Flow in Air Quality Monitoring Based on Artificial Intelligence,” International Journal of Artificial Intelligence Research, vol. 6, no. 1, 2023.
- Y. Guo, Z. Hao, S. Zhao, J. Gong, and F. Yang, “Artificial intelligence in health care: bibliometric analysis,” J Med Internet Res, vol. 22, no. 7, p. e18228, 2020.
- C. Lee and C. Lim, “From technological development to social advance: A review of Industry 4.0 through machine learning,” Technol Forecast Soc Change, vol. 167, p. 120653, 2021.
- G. Nelson, H. Carter, P. Boedeker, E. Knowles, C. Buckmiller, and J. Eames, “A Meta-Analysis and Quality Review of Mathematics Interventions Conducted in Informal Learning Environments with Caregivers and Children,” Rev Educ Res, p. 00346543231156182, 2023.
- E. Bahar, D. Agushinta, Y. D. Arimbi, and M. Reksoprodjo, “Model Structure of Fetal Health Status Prediction,” JUITA: Jurnal Informatika, vol. 10, no. 2, pp. 159–166, 2022.
- H. Liu et al., “Trustworthy ai: A computational perspective,” ACM Trans Intell Syst Technol, vol. 14, no. 1, pp. 1–59, 2022.
- U. Rahardja, “Skema Catatan Kesehatan menggunakan Teknologi Blockchain dalam Pendidikan,” Jurnal MENTARI: Manajemen, Pendidikan dan Teknologi Informasi, vol. 1, no. 1, pp. 29–37, 2022.
- J. S. N. Tang et al., “Impact of Different AI User Interfaces on Lung Nodule and Mass Detection on Chest Radiographs,” Radiol Artif Intell, p. e220079, 2023.
- V. Tundjungsari, “Open Health Data Development for Machine Learning-based Resource Sharing: Indonesia Case Study,” International Journal of Artificial Intelligence Research, vol. 6, no. 2, 2022.
- L. Sun, Z. Shang, Y. Xia, S. Bhowmick, and S. Nagarajaiah, “Review of bridge structural health monitoring aided by big data and artificial intelligence: From condition assessment to damage detection,” Journal of Structural Engineering, vol. 146, no. 5, p. 04020073, 2020.
References
U. Rahardja, T. Hariguna, and Q. Aini, “Understanding the impact of determinants in game learning acceptance: An empirical study,” International Journal of Education and Practice, vol. 7, no. 3, pp. 136–145, 2019, doi: 10.18488/journal.61.2019.73.136.145.
N. Lutfiani, S. Wijono, U. Rahardja, A. Iriani, Q. Aini, and R. A. D. Septian, “A Bibliometric Study : Recommendation based on Artificial Intelligence for iLearning Education,” Aptisi Transactions on Technopreneurship (ATT), vol. 5, no. 2, pp. 112–119, Nov. 2022, doi: 10.34306/att.v5i2.279.
H. Haryani, S. M. Wahid, and A. Fitriani, “Analisa Peluang Penerapan Teknologi Blockchain dan Gamifikasi pada Pendidikan,” Jurnal MENTARI: Manajemen, Pendidikan dan Teknologi Informasi, vol. 1, no. 2, pp. 163–174, 2023.
N. I. Juwita, W. E. Setianingsih, and R. Rusdiyanto, “PENGARUH MOTIVASI, PENGALAMAN, DAN DISIPLIN KERJA TERHADAP KINERJA KARYAWAN DI PT. NOR COFFEE INDONESIA,” Jurnal Mahasiswa Entrepreneurship (JME), vol. 2, no. 2, pp. 155–165, 2023.
U. Rahardja, M. A. Ngadi, R. Budiarto, Q. Aini, M. Hardini, and F. P. Oganda, “Education exchange storage protocol: Transformation into decentralized learning platform,” in Frontiers in Education, Frontiers, 2021, p. 477.
A. K. Driscoll and C. P. Valenzuela, “Maternal Characteristics and Infant Outcomes of Women Born in and Outside the United States: United States, 2020,” 2022.
J. K. Ahmad Dahlan et al., “SEMINAR NASIONAL PENDIDIKAN Fakultas Ilmu Pendidikan Universitas Muhammadiyah Jakarta IMPLEMENTASI PENDIDIKAN KARAKTER DI ABAD 21,” 2019.
M. R. Anwar, F. P. Oganda, N. P. L. Santoso, and M. Fabio, “Artificial Intelligence that Exists in the Human Mind,” International Transactions on Artificial Intelligence, vol. 1, no. 1, pp. 28–42, 2022.
Q. Aini et al., “Security Level Significance in DApps Blockchain-Based Document Authentication,” Aptisi Transactions on Technopreneurship (ATT), vol. 4, no. 3, pp. 292–305, 2022.
M. Taufiqurrohman and M. Yusuf, “Pemanfaatan Energi Terbarukan dalam Pengolahan Daur Ulang Limbah,” Jurnal MENTARI: Manajemen, Pendidikan dan Teknologi Informasi, vol. 1, no. 1, pp. 46–57, 2022.
T. Jehaman, “HUBUNGAN TINGKAT PENGETAHUAN, SIKAP DAN PENGALAMAN PERAWAT TERHADAP PERILAKU PENCEGAHAN INFEKSI DALAM PERAWATAN LUKA POST OPERASI SECTIO CAESAREA DI RSUD SAWERIGADING PALOPO TAHUN 2022,” Jurnal Kesehatan Luwu Raya, vol. 9, no. 2, pp. 90–99, 2023.
P. P. Ray, D. Dash, K. Salah, and N. Kumar, “Blockchain for IoT-based healthcare: background, consensus, platforms, and use cases,” IEEE Syst J, vol. 15, no. 1, pp. 85–94, 2020.
S. Kosasi, S. Millah, and N. P. L. Santoso, “Manajemen dalam Konsep dan Prinsip Pengelolaan Pendidikan menggunakan Komputasi Awan,” Jurnal MENTARI: Manajemen, Pendidikan dan Teknologi Informasi, vol. 1, no. 1, pp. 38–45, 2022.
Q. Aini, U. Rahardja, N. Puji, L. Santoso, and A. Oktariyani, “APLIKASI BERBASIS BLOCKCHAIN DALAM DUNIA PENDIDIKAN DENGAN METODE SYSTEMATICS REVIEW,” 2021.
M. Rakhmansyah, U. Rahardja, N. P. L. Santoso, A. Khoirunisa, and A. Faturahman, “Smart Digital Signature berbasis Blockchain pada Pendidikan Tinggi menggunakan Metode SWOT,” ADI Bisnis Digital Interdisiplin Jurnal, vol. 2, no. 1 Juni, pp. 39–47, 2021.
P. Misra and A. S. Yadav, “Improving the classification accuracy using recursive feature elimination with cross-validation,” Int. J. Emerg. Technol, vol. 11, no. 3, pp. 659–665, 2020.
R. Rahayu, S. Iskandar, and Y. Abidin, “Inovasi Pembelajaran Abad 21 dan Penerapannya di Indonesia,” Jurnal Basicedu, vol. 6, no. 2, pp. 2099–2104, Feb. 2022, doi: 10.31004/basicedu.v6i2.2082.
S. Yoon et al., “Working through an ‘infodemic’: The impact of COVID-19 news consumption on employee uncertainty and work behaviors.,” Journal of Applied Psychology, vol. 106, no. 4, p. 501, 2021.
W. W. C. Leo, G. Laud, and C. Y. Chou, “Digital transformation for crisis preparedness: service employees’ perspective,” Journal of Services Marketing, vol. 37, no. 3, pp. 351–370, 2023.
M. Cavallone and R. Palumbo, “Debunking the myth of industry 4.0 in health care: insights from a systematic literature review,” The TQM Journal, vol. 32, no. 4, pp. 849–868, 2020.
U. Rahardja, Q. Aini, D. Manongga, I. Sembiring, and I. D. Girinzio, “Implementation of Tensor Flow in Air Quality Monitoring Based on Artificial Intelligence,” International Journal of Artificial Intelligence Research, vol. 6, no. 1, 2023.
Y. Guo, Z. Hao, S. Zhao, J. Gong, and F. Yang, “Artificial intelligence in health care: bibliometric analysis,” J Med Internet Res, vol. 22, no. 7, p. e18228, 2020.
C. Lee and C. Lim, “From technological development to social advance: A review of Industry 4.0 through machine learning,” Technol Forecast Soc Change, vol. 167, p. 120653, 2021.
G. Nelson, H. Carter, P. Boedeker, E. Knowles, C. Buckmiller, and J. Eames, “A Meta-Analysis and Quality Review of Mathematics Interventions Conducted in Informal Learning Environments with Caregivers and Children,” Rev Educ Res, p. 00346543231156182, 2023.
E. Bahar, D. Agushinta, Y. D. Arimbi, and M. Reksoprodjo, “Model Structure of Fetal Health Status Prediction,” JUITA: Jurnal Informatika, vol. 10, no. 2, pp. 159–166, 2022.
H. Liu et al., “Trustworthy ai: A computational perspective,” ACM Trans Intell Syst Technol, vol. 14, no. 1, pp. 1–59, 2022.
U. Rahardja, “Skema Catatan Kesehatan menggunakan Teknologi Blockchain dalam Pendidikan,” Jurnal MENTARI: Manajemen, Pendidikan dan Teknologi Informasi, vol. 1, no. 1, pp. 29–37, 2022.
J. S. N. Tang et al., “Impact of Different AI User Interfaces on Lung Nodule and Mass Detection on Chest Radiographs,” Radiol Artif Intell, p. e220079, 2023.
V. Tundjungsari, “Open Health Data Development for Machine Learning-based Resource Sharing: Indonesia Case Study,” International Journal of Artificial Intelligence Research, vol. 6, no. 2, 2022.
L. Sun, Z. Shang, Y. Xia, S. Bhowmick, and S. Nagarajaiah, “Review of bridge structural health monitoring aided by big data and artificial intelligence: From condition assessment to damage detection,” Journal of Structural Engineering, vol. 146, no. 5, p. 04020073, 2020.