MODEL PENERIMAAN E-KTP DI KECAMATAN GONDOKUSUMAN YOGYAKARTA DENGAN PENDEKATAN UTAUT

KTP as a legal ID document in Indonesia has one big issue problem, that many citizen commited fraud by having KTP more than one. In order to solve that problem, government made a policy by replacing old KTP with e-KTP. This e- KTP program has been conducted in Gondokusuman Subdistrict, Yogyakarta as...

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Bibliographic Details
Main Authors: , Mita Indriani, , Ir. P. Insap Santosa, M.Sc., Ph.D.
Format: Thesis
Published: [Yogyakarta] : Universitas Gadjah Mada 2011
Subjects:
ETD
Description
Summary:KTP as a legal ID document in Indonesia has one big issue problem, that many citizen commited fraud by having KTP more than one. In order to solve that problem, government made a policy by replacing old KTP with e-KTP. This e- KTP program has been conducted in Gondokusuman Subdistrict, Yogyakarta as one of 6 goverment pilot projects. However, the implementation of e-KTP in Gondokusuman Subdistrict has many obstacles like uncollected e-KTPs by some citizen in Subdistrict Gondokusuman and the refusal of e-KTP by banking institutions. Therefore this research aims to understand the acceptance of e-KTP in Gondokusuman Subdistric and to understand factors that determine the acceptance of e-KTP. This research uses regression analysis with Unified Theory of Acceptance and Use of Technology (UTAUT) model with some modifications. The survey was conducted by distributing questionnaires to e-KTP�s holders in Gondokusuman Subdistrict. From 200 distributed questionnaires, 194 questionnaires return and only 184 questionnaires that don�t have any blank responses. By assessing intention to use, this research verified that e-KTP acceptance in Gondokusuman Subdistrictis is good enough even it�s only so-so. The main determinans of intention to use are performance expectancy, facilitating conditions, and perceive credibility. This research verified that gender has moderating effect, although it is considered weak, but it influence facilitating conditions relation to intetion to use with negatif value interaction. With gender as moderating variabel, the model can explain until 18,9 % of varians.