ANALISIS KESIAPAN ADOPSI ARTIFICIAL INTELLIGENCE DALAM TRANSFORMASI DIGITAL SEKOLAH MENENGAH PERTAMA MENGGUNAKAN PENDEKATAN TOE FRAMEWORK (STUDI KASUS: SMP NEGERI 4 YENDIDORI KABUPATEN BIAK NUMFOR)

Fery Arung Tongka, Alva Hendi Muhammad

Abstract


Di wilayah 3T (Terdepan, Terpencil, Tertinggal) Kabupaten Biak Numfor, Provinsi Papua, penelitian ini menyelidiki kesiapan untuk adopsi kecerdasan buatan (Artificial Intelligence/AI) dalam transformasi digital sekolah menengah pertama. Wilayah ini merupakan konteks yang belum pernah dikaji sebelumnya dalam penelitian tentang adopsi AI di pendidikan dasar di Indonesia. Pendekatan disaggregated Technology-Organization-Environment (TOE) Framework digunakan untuk menentukan determinan kesiapan AI. 133 responden, termasuk kepala sekolah, guru, tenaga kependidikan, dan siswa, disurvei menggunakan metode Structural Equation Modeling-Partial Least Squares (SEM-PLS). 28 indikator ditampilkan dalam delapan subdimensi TOE, dengan R² = 0,641 (tingkat kecocokan model sedang hingga kuat) dan Q² = 0,409 (relevansi prediktif model sedang hingga kuat). Dari delapan hipotesis yang diuji, enam dianggap signifikan terhadap kesiapan AI: Compatibility (β = 0,232), Observability (β = 0,265), Top Management Support (β = 0,201), Technology Orientation (β = 0,190), Legal Framework (β = 0,225), dan Perceived Trend (β = 0,155). Sebaliknya, Government Support dan Relative Advantage tidak terbukti signifikan, menunjukkan bahwa infrastruktur fisik yang terbatas dan kekurangan dukungan pemerintah daerah bukan faktor pendorong utama kesiapan adopsi AI di wilayah 3T. Temuan ini menunjukkan bahwa elemen persepsi, keselarasan teknologi, dan kepemimpinan transformasional lebih penting dalam mendorong kesiapan digital di lingkungan pendidikan terpencil.

Keywords


AI Readiness; Sekolah 3T ; SEM-PLS; TOE Framework; Transformasi Digital

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DOI: https://doi.org/10.29100/jipi.v11i3.10508

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