Sistem Rekomendasi Dosen Pembimbing Tugas Akhir Menggunakan Content Based Filtering
The determination of supervisors is more on random factors or students who determine lecturers without
considering the lecturers' expertise in the research to be carried out. The procedure for determining
supervisors in this way will cause problems such as less than optimal results of the final assignment
because the supervisor is not exactly selected. The final task supervisor has an important role because it
has the responsibility to ensure that students are able to prepare the final assignment properly
so that the final assignment is ready to be tested and qualified. In an effort to overcome the problem of inaccurate selection of supervisors, recommendations can be made based on expertise or research that has been carried out by supervisors using the con tent - based filtering method.
Anis Budiono, et al. (2023). Sistem Rekomendasi Dosen Pembimbing Tugas Akhir Menggunakan Content Based Filtering. Jurnal Elektronika dan Komputer, 16(1). https://doi.org/10.51903/elkom.v16i1.1002
Anis Budiono; Sri Eniyati; Anis Budiono; Sri Eniyati, "Sistem Rekomendasi Dosen Pembimbing Tugas Akhir Menggunakan Content Based Filtering," Jurnal Elektronika dan Komputer, vol. 16, no. 1, 2023.
Anis Budiono; Sri Eniyati; Anis Budiono; Sri Eniyati. "Sistem Rekomendasi Dosen Pembimbing Tugas Akhir Menggunakan Content Based Filtering." Jurnal Elektronika dan Komputer, vol. 16, no. 1, 2023.
Anis Budiono; Sri Eniyati; Anis Budiono; Sri Eniyati. "Sistem Rekomendasi Dosen Pembimbing Tugas Akhir Menggunakan Content Based Filtering." Jurnal Elektronika dan Komputer 16, no. 1 (2023).
Anis Budiono, et al. (2023) 'Sistem Rekomendasi Dosen Pembimbing Tugas Akhir Menggunakan Content Based Filtering', Jurnal Elektronika dan Komputer, 16(1). doi: 10.51903/elkom.v16i1.1002.
Anis Budiono; Sri Eniyati; Anis Budiono; Sri Eniyati. Sistem Rekomendasi Dosen Pembimbing Tugas Akhir Menggunakan Content Based Filtering. Jurnal Elektronika dan Komputer. 2023;16(1).
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