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Analysis of algorithms and data processing efficiency in movie recommendation systems based on machine learning Rachmat , Rachmat; Yusuf, Muhammad; Basmar, Muh. Fahmi; Suherwin, Suherwin
Jurnal Mandiri IT Vol. 13 No. 2 (2024): CALL FOR PAPER !!! Scope Computer Science
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mandiri.v13i2.358

Abstract

This study explores the use of content-based filtering and collaborative filtering algorithms in machine learning (ML)-based movie recommendation systems. The Collaborative Filtering and Content-Based Filtering algorithms work rather well, according to evaluation using Precision, Recall, and F1-Score metrics; Precision is approximately 0.82, Recall is approximately 0.85, and F1-Score is approximately 0.83. These findings show that both systems are capable of providing users with accurate and pertinent movie suggestions. The Collaborative Filtering and Content-Based Filtering algorithms work rather well, according to evaluation using Precision, Recall, and F1-Score metrics; Precision is approximately 0.82, Recall is approximately 0.85, and F1-Score is approximately 0.83. These findings show that both systems are capable of providing users with accurate and pertinent movie suggestions. The results demonstrate that both Collaborative Filtering and Content-Based Filtering produce highly accurate and relevant movie suggestions. When it comes to data processing, collaborative filtering is shown to be more effective than content-based filtering. The research advances the fields of information technology and computer science, especially in the creation of more precise and effective movie recommendation systems. The study also emphasizes how combining both algorithms in a hybrid approach could lead to even greater advancements in the creation of ML-based recommendation systems. Nevertheless, the study contains drawbacks, including the use of a small dataset and the failure to take into account additional variables that can affect movie choices. The goal of future studies should be to increase the dataset's size and take into account more aspects of the creation of movie recommendation systems.
Integrating Pancasila philosophy into arts education curriculum design Hadi, Sumasno; Rachmat , Rachmat; Sulisno, Sulisno
Dewa Ruci: Jurnal Pengkajian dan Penciptaan Seni Vol. 19 No. 1 (2024)
Publisher : Pascasarjana Institut Seni Indonesia Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33153/dewaruci.v19i1.5986

Abstract

When national education policy in Indonesia first included art as a content of the formal learning curriculum, art learning in schools has generally underwent many developments. The dynamics of its development also raise conceptual and practical issues, one of which is about the basic paradigm of art education in higher education (universities) that prepare art teachers in public schools. This research aims to find the educational philosophy that underlies and emphasizes the concept of art education in Indonesia so that it can guide the formulation of the curriculum content of art lessons in schools. This research uses the hermeneutic-philosophical method through three steps: finding and describing concepts, systematizing concepts, and then testing the level of explanation of the resulting concept system. Based on the results of the research, it is known that the philosophy of art education in Indonesia refers to the cultural values of the Indonesian nation formulated in the philosophy of Pancasila and the opening of the 1945 Constitution. The paradigm of art education in Indonesia must also be based on the philosophical concepts of Pancasila. The implication is that the concepts of formal art education in Indonesia, which include goals, curriculum content, students and educators, as well as the socio-cultural environment, must integrate the values of Pancasila.