Hosting Jurnal Akses Terbuka untuk Kampus Indonesia: Model Layanan Terkelola
Abstrak
Kesiapan akreditasi (SINTA, DOAJ, Garuda) tetap menjadi hambatan bagi jurnal kecil Indonesia yang kekurangan staf teknis. Kami menjelaskan model hosting OJS terkelola yang menggabungkan penerapan, pembaruan, pencadangan, dan kepatuhan metadata.
Kata Kunci
- open access
- OJS
- SINTA
- journal hosting
- accreditation
Referensi
- LeCun, Y., Bengio, Y., & Hinton, G. (2015). Deep learning. Nature, 521(7553), 436-444.
- Mohanty, S. P., Hughes, D. P., & Salathe, M. (2016). Using deep learning for image-based plant disease detection. Frontiers in Plant Science, 7, 1419.
- He, K., Zhang, X., Ren, S., & Sun, J. (2016). Deep residual learning for image recognition. In Proc. IEEE CVPR (pp. 770-778).
- Howard, A. G., et al. (2017). MobileNets: Efficient convolutional neural networks for mobile vision applications. arXiv:1704.04861.
- Kingma, D. P., & Ba, J. (2015). Adam: A method for stochastic optimization. In Proc. ICLR.
- Simonyan, K., & Zisserman, A. (2015). Very deep convolutional networks for large-scale image recognition. In Proc. ICLR.
- Deng, J., et al. (2009). ImageNet: A large-scale hierarchical image database. In Proc. IEEE CVPR (pp. 248-255).
- Ferentinos, K. P. (2018). Deep learning models for plant disease detection and diagnosis. Computers and Electronics in Agriculture, 145, 311-318.
- Tan, M., & Le, Q. (2019). EfficientNet: Rethinking model scaling for CNNs. In Proc. ICML (pp. 6105-6114).
- Sandler, M., et al. (2018). MobileNetV2: Inverted residuals and linear bottlenecks. In Proc. IEEE CVPR (pp. 4510-4520).
- Kamilaris, A., & Prenafeta-Boldu, F. X. (2018). Deep learning in agriculture: A survey. Computers and Electronics in Agriculture, 147, 70-90.
- Goodfellow, I., Bengio, Y., & Courville, A. (2016). Deep Learning. MIT Press.
Unduhan
Data unduhan belum tersedia.