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All Journal Prosodi: Jurnal Ilmu Bahasa dan Sastra Daengku: Journal of Humanities and Social Sciences Innovation
Kenya Permata Kusumadewi
Universitas Negeri Surabaya
Humanities Education Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Other

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Pelatihan Pembuatan Poster Green Tourism untuk Meningkatkan Kesadaran Pariwisata Berkelanjutan di SD Bright Kiddie Surabaya Kenya Permata Kusumadewi
Prosodi Jurnal Ilmu Bahasa dan Sastra Vol 20, No 1: Prosodi
Publisher : Program Studi Bahasa Inggris Universitas Trunodjoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/prosodi.v20i1.33933

Abstract

Kegiatan pengabdian kepada masyarakat ini bertujuan untuk menumbuhkan kesadaran wisata berkelanjutan melalui pelatihan Green Tourism bagi siswa SD Bright Kiddie Surabaya. Pelatihan dilaksanakan dalam tiga tahap, yaitu pengenalan konsep wisata berkelanjutan, pembuatan kampanye digital melalui Canva, serta sesi umpan balik dan refleksi secara daring melalui Zoom dan Google Drive. Metode pelatihan menggabungkan pendekatan partisipatif dan pembelajaran berbasis digital untuk meningkatkan pemahaman konseptual, kreativitas, serta literasi lingkungan peserta. Hasil kegiatan menunjukkan bahwa peserta mampu memahami prinsip green tourism dan menerapkannya dalam bentuk kampanye visual yang komunikatif dan inspiratif. Melalui kegiatan ini, siswa tidak hanya belajar tentang tanggung jawab lingkungan, tetapi juga mengembangkan kemampuan berpikir kritis dan kolaborasi digital. Kegiatan ini diharapkan dapat menjadi model pembelajaran partisipatif yang efektif dalam pendidikan lingkungan berbasis teknologi.
Designing an Intelligent Decision Support System for Evaluating Teaching Effectiveness in Technology-Enhanced Classrooms Ramadiani Ramadiani; Azainil Azainil; Kenya Permata Kusumadewi; Guellica Agnesia Claudia Thanos; Toong Hai Sam
Daengku: Journal of Humanities and Social Sciences Innovation Vol. 6 No. 2 (2026)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.daengku4848

Abstract

The rapid digital transformation of education has significantly increased the adoption of technology-enhanced classrooms, generating substantial educational data that can support intelligent instructional evaluation. However, conventional teacher assessment systems remain limited by subjectivity, inconsistent evaluation standards, and the inability to analyze multidimensional learning analytics data effectively. This study aims to design an Intelligent Decision Support System (IDSS) for evaluating teaching effectiveness in smart classroom environments using the ELECTRE (Elimination and Choice Translating Reality) method integrated with Artificial Intelligence (AI)-based educational analytics. The proposed framework combines learning analytics indicators, machine learning models, and outranking-based multi-criteria decision-making to support transparent and data-driven educational governance. The evaluation criteria include student engagement, attendance rate, assignment completion, student satisfaction, learning outcomes, classroom interaction, technology integration, and instructor responsiveness. The computational process involved decision matrix construction, normalization, weighted normalization, concordance-discordance analysis, and aggregate dominance evaluation. The results demonstrated that the ELECTRE method effectively identified dominant teaching alternatives and handled conflicting instructional criteria systematically. Teacher 3 achieved the highest performance ranking due to superior instructional performance across all evaluation indicators. Additionally, AI-based predictive analysis improved evaluation accuracy and instructional pattern identification within technology-enhanced classrooms. The study contributes theoretically by extending the application of ELECTRE within intelligent educational DSS frameworks and practically by providing educational institutions with a scalable and transparent mechanism for evaluating teaching effectiveness. The proposed system supports smart educational governance, data-driven decision-making, and sustainable classroom quality assurance in digital learning ecosystems.
Co-Authors Azainil Azainil Guellica Agnesia Claudia Thanos Ramadiani - Toong Hai Sam