AbstrakPemanfaatan e-learning di Politeknik Negeri Bali masih relatif baru. Sebagai inovasi baru, adopsi e-learning rentan terhadap penolakan. Dibutuhkan adanya informasi dalam mengurangi ketidakpastian dari adopsi e-learning tersebut. Tujuan penelitian adalah: (1) mendeskripsikan faktor-faktor adopsi inovasi e-learning; dan (2) menguji model pengukuran adopsi inovasi e-learning. Penelitian dilaksanakan menggunakan pendekatan kuantitatif dengan metode survei. Jumlah sampel sebanyak 130, dipilih dari staf pengajar yang pernah mengikuti pelatihan e-learning di setiap program studi di Politeknik Negeri Bali. Tingkat partisipasi responden (respons rate) mencapai 86,9%. Data dianalisis secara deskriptif kuantitatif dan analisis faktor konfirmatori. Adopsi inovasi e-learning dijelaskan oleh lima karakteristik yaitu keunggulan relatif, kompatibilitas, kompleksitas, trialability, dan observability. Faktor keunggulan relatif mempunyai rerata tertinggi (3,92), yang kemudian berturut-turut diikuti oleh trialability, observability, kompatibilitas, serta faktor kompleksitas mempunyai rerata terendah (2,99). Berdasarkan nilai muatan faktor serta reliabilitas konstruk ditemukan bahwa variabel-variabel yang diamati mampu menjelaskan faktor-faktor yang menjadi karakteristik adopsi e-learning. Dengan demikian kelima karakteristik e-learning dinyatakan valid sebagai model pengukuran adopsi inovasi elearning dengan nilai p=0,00224 dan RMSEA=0,060.
Kata-kata kunci: model pengukuran, adopsi, inovasi, e-learning
AbstractThe e-learning usage in Bali State Polytechnic is relatively new. As a new innovation, adoption of e-learning is vulnerable to rejection. It takes information to reduce uncertainty the adoption of e-learning. The research objectives are: (1) describe the adoption factors of e-learning innovation; and (2) confirmatory tests of the adoption e-learning innovation construct. The research was conducted using a quantitative approach with a survey method. Sample size are 130, representing of faculty members in each study program Bali State Polytechnic. The response rate in this study was 86.9%. Data were analyzed by descriptive quantitative and confirmatory factor analysis. Adoption of e-learning innovations described by five characteristics: relative advantage, compatibility, complexity, trialability, and observability. Relative advantage has the highest average (3.92), followed by trialability, observability, compatibility, and complexity has the lowest average (2.99). Based on loading factor and constructs reliability, the observed variables are able to explain the factors that characterize adoption of e-learning. Thus, five characteristics e-learning is valid as a measurement model adoption of e-learning innovation with p-value=0.00224 and RMSEA=0.060.
