Penerapan portal data terbuka merupakan suatu gagasan baru yang dilakukan oleh pemerintah di Indonesia untuk mendukung terwujudnya pemerintah terbuka. Portal Jakarta Open Data adalah inovasi yang lahir untuk menyediakan data terbuka yang akurat, terintegrasi, lengkap dan akuntabel bagi masyarakat serta dapat meningkatkan transparansi dan akuntabilitas dari kinerja Pemerintah Provinsi DKI Jakarta. Penelitian ini bertujuan untuk mengetahui faktor-faktor yang mempengaruhi penerimaan dan penggunaan teknologi data terbuka pada portal Jakata Open Data dengan metode kuantitatif melalui kuesioner dengan teknik analisis data menggunakan Structural Equation Modeling (SEM). Penelitian ini menggunakan penggabungan antara teori kesuksesan sistem informasi DeLone & McLean dan Technology Acceptance Model (TAM). Hasil penelitian dari 10 hipotesis terdapat 5 hipotesis yang diterima dan 5 hipotesis yang ditolak. Hipotesis yang diterima adalah service quality berpengaruh terhadap perceived ease of use, system quality berpengaruh terhadap perceived usefulness, perceived ease of use berpengaruh terhadap perceived usefulness, perceived ease of use berpengaruh terhadap user satisfaction dan user satisfaction berpengaruh terhadap Net Benefit. 

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The application of an open data portal is a new idea carried out by the Government in Indonesia to support the realization of an open government. Jakarta Open Data Portal is an innovation that was born to provide open, accurate, integrated, complete and accountable data for the community and can increase transparency and accountability of the performance of the DKI Jakarta Provincial Government.

This study aims to determine the factors that influence the acceptance and use of open data technology on the Jakata Open Data portal with quantitative methods through questionnaires with data analysis techniques using Structural Equation Modeling (SEM). This study uses a combination of the success theory of DeLone & McLean information systems and Technology Acceptance Model (TAM).

The results of the study of 10 hypotheses there are 5 accepted hypotheses and 5 rejected hypotheses. The accepted hypothesis is that service quality has an effect perceived ease of use, system quality has an effect perceived usefulness, perceived ease of use has an effect perceived usefulness, perceived ease of use has an effect on user satisfaction and user satisfaction has an effect on Net Benefit.