Dedi Saputra, Eva Meilinda, Artika Surniandari, Juniato Sidauruk

Pemilihan Media Pembelajaran Pendidikan Kejuruan Berbasis Artificial Intelligence (AI) Menggunakan Metode Preference Selection Index (PSI)

Introduction

Pemilihan media pembelajaran pendidikan kejuruan berbasis artificial intelligence (ai) menggunakan metode preference selection index (psi). Pemilihan media pembelajaran kejuruan AI efektif menggunakan metode PSI. Evaluasi interaktivitas, fleksibilitas, kecepatan, biaya. Platform Simulasi Virtual terbukti unggul.

Abstract

Dalam pendidikan kejuruan, pemilihan media pendidikan yang efisien sangat berarti buat tingkatkan kompetensi partisipan didik. Pendekatan dengan metode Preference Selection Index (PSI) merupakan pendekatan pengambilan keputusan multi- kriteria yang digunakan buat mengevaluasi serta memilah media pendidikan berbasis kecerdasan buatan (Ai). Riset ini bertujuan buat mengenali media pendidikan terbaik bersumber pada kriteria semacam interaktivitas, fleksibilitas, kecepatan akses, serta bayaran. Hasil riset menampilkan Hasil riset menampilkan kalau Platform Simulasi Virtual unggul dalam interaktivitas dan fleksibilitas, yang menjadi kriteria utama dalam pemilihan media pembelajaran untuk pendidikan kejuruan. Chatbot unggul pada kecepatan akses, sementara video pembelajaran lebih efisien dalam biaya, namun memiliki kelemahan pada interaktivitas. Kelebihan penggunaan metode PSI adalah transparansi dalam pengambilan keputusan, pelaksanaan PSI menciptakan pemilihan media yang sangat cocok dengan kebutuhan pembelajaran kejuruan, dengan bobot kriteria tertentu jadi aspek penentu utama.

Review

The submitted abstract, "Pemilihan Media Pembelajaran Pendidikan Kejuruan Berbasis Artificial Intelligence (AI) Menggunakan Metode Preference Selection Index (PSI)," addresses a highly pertinent topic within contemporary education: the strategic selection of AI-based learning media for vocational education. The stated objective of enhancing student competency through efficient media choice is commendable and directly aligns with the evolving demands of technical and vocational training. The paper proposes a systematic approach using the Preference Selection Index (PSI) method, a multi-criteria decision-making tool, to evaluate and identify optimal learning media based on specific criteria. The research provides an initial comparative analysis of different AI-powered learning media. The abstract highlights Virtual Simulation Platforms as excelling in interactivity and flexibility, which are identified as primary criteria for vocational learning. Chatbots are noted for their superior access speed, while video learning offers cost efficiency, albeit with acknowledged limitations in interactivity. The authors advocate for the PSI method, citing its transparency in decision-making and its perceived ability to tailor media selection precisely to the needs of vocational education, with criterion weighting playing a pivotal role in the outcome. While the abstract offers a clear summary of the study's aims and headline findings, a comprehensive review would benefit from further elaboration in the full paper. Key areas for expansion include a detailed explanation of how the criteria (interactivity, flexibility, access speed, cost) were weighted, the specific context of the vocational education (e.g., industry, student demographic), and the empirical validation of the "best fit" with vocational learning needs. Understanding the practical implementation of the PSI method and the data sources used for evaluation would significantly strengthen the paper's methodological robustness and practical applicability for educators and curriculum developers.

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