Forecasting Student Academic Performance Trends Using a Hybrid Time-Series and Deep Learning Model in Curriculum Implementation Evaluation
Keywords:
Prestasi Akademik, Time-Series Forecasting, Deep Learning, Model Hibrida, Evaluasi KurikulumAbstract
This paper provides a template for preparing papers for electronic production of the Jurnal Pedagogi dan Pembelajaran. A well-prepared abstract enables the reader to identify the basic content of a document quickly and accurately, to determine its relevance to their interests, and thus to decide whether to read the document in its entirety. The Abstract should be informative and completely self-explanatory, provide a clear statement of the problem, the proposed approach or solution, and point out major findings and conclusions. The Abstract should be 200 to 250 words in length. The abstract should be written in the past tense. Standard nomenclature should be used and abbreviations should be avoided. No literature should be cvited. The keyword list provides the opportunity to add keywords, used by the indexing and abstracting services, in addition to those already present in the title. Judicious use of keywords may increase the ease with which interested parties can locate our article

