PENGARUH PENGGUNAAN TEKNOLOGI UI.VISION TERHADAP AKURASI DAN EFEKTIVITAS ENTRI DATA PTSL DI KANTOR PERTANAHAN KABUPATEN BANDUNG

SEKAR RAHMAWATI, 21303906 (2025) PENGARUH PENGGUNAAN TEKNOLOGI UI.VISION TERHADAP AKURASI DAN EFEKTIVITAS ENTRI DATA PTSL DI KANTOR PERTANAHAN KABUPATEN BANDUNG. Diploma thesis, Sekolah Tinggi Pertanahan Nasional.

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Abstract

This research is motivated by the government's efforts through the Ministry of Agrarian Affairs and Spatial Planning/National Land Agency (ATR/BPN) to accelerate the Complete Systematic Land Registration (PTSL) program across Indonesia. However, implementation challenges persist, particularly limited human resources and a high rate of errors in manual data entry. To address this, technological innovation is considered necessary to improve work accuracy and efficiency. One such innovation is UI.Vision, an automation-based software that utilizes Robotic Process Automation (RPA) and Optical Character Recognition (OCR) technologies. This study uses a quantitative approach with a pre-test and post-test design, in which the same respondents perform data entry manually and using UI.Vision. The collected data were then analyzed using the Wilcoxon Signed-Rank Test to determine whether there are significant differences in accuracy and efficiency between the two methods. The results show that UI.Vision successfully reduced the error rate from 23.64% to 1.82% and shortened the average data entry time from 6.75 minutes to 1.32 minutes per five files. The Wilcoxon test also indicated a significance value below 0.05, confirming a statistically significant difference. This research concludes that UI.Vision has a positive impact on improving the quality of work in the PTSL data entry process and is expected to be widely adopted as part of the digital transformation in land administration. Keywords: PTSL, UI.Vision, Accuracy, Effectiveness, Automation.

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