Analisis Minat Penggunaan Ev Charging Platform Charge.In Dengan Menggunakan Technology Acceptance Model Modifikasi

Yuwono, Eko (2022) Analisis Minat Penggunaan Ev Charging Platform Charge.In Dengan Menggunakan Technology Acceptance Model Modifikasi. Masters thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

PT PLN (Persero) telah meluncurkan Charge.IN, platform aggregator sistem pengoperasian pengisian daya kendaraan listrik dan transaksi pembayaran di Stasiun Pengisian Kendaraan Listrik Umum (SPKLU) berbasis Open Charge Point Protocol (OCPP) 1.6. Manfaat serta kemudahan yang ditawarkan Charge.IN dapat mempengaruhi peningkatan minat pengguna kendaraan listrik untuk menggunakan Charge.IN. Hadirnya aplikasi sejenis menambah kompetisi dalam penggunaan aplikasi pengisian kendaraan listrik di Indonesia. Sehingga perlu dilakukan suatu penelitian untuk mengukur penerimaan teknologi Charge.IN. Penelitian ini mengidentifikasi faktor-faktor yang berpengaruh dalam keberhasilan penerimaan teknologi terkhusus pada aplikasi selulernya dengan menggunakan Technology Acceptance Model (TAM). Survei ditujukan hanya kepada pengguna Charge.IN. Pengujian Outer Model dan Inner Model digunakan untuk menguji dan menganalisis data dari instrumen penelitian menggunakan aplikasi SMART PLS 3.2.9. Dari hasil uji dan analisa diketahui bahwa dari 14 hipotesis penelitian, ditemukan 8 hipotesis penelitian yang gagal ditolak dan 6 lainnya ditolak. Diketahui bahwa Behavioral Intention berpengaruh positif dan signifikan terhadap Actual Use, kemudian Perceived Usefulness dan Brand Image berpengaruh positif dan signifikan terhadap Behavioral Intention. Sistem/ Software Quality berpengaruh positif dan signifikan terhadap Perceived Usefulness, Perceived Ease of Use, Perceived Security, Perceived Risk, dan Trust. Sedangkan Perceived Ease of Use, Perceived Security, Perceived Risk, Self Efficacy, Perceived Cost, dan Trust tidak berpengaruh terhadap Behavioral Intention. Hasil penelitian ini dapat menjadi rekomendasi kepada PLN untuk meningkatkan eksistensi Charge.IN maupun PLN sebagai pelopor infrastruktur kendaraan listrik di Indonesia.
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PT PLN (Persero) has launched Charge.IN, an aggregator platform for electric vehicle charging operating systems and payment transactions at Electric Vehicle Charging Station (EVCS) based on Open Charge Point Protocol (OCPP) 1.6. The benefits and conveniences offered by Charge.IN can affect the increasing interest of electric vehicle users to use Charge.IN. The presence of similar applications increase the competition in the use of electric vehicle charging applications in Indonesia. So, it is necessary to do a study to measure the acceptance of Charge.IN technology. This study identifies the factors that influence the success of technology acceptance especially it’s mobile application by using the Technology Acceptance Model (TAM). Identification is obtained by measuring the correlation and impact between Perceived Usefulness, Perceived Ease of Use, Perceived Security, Perceived Risk, Self Efficacy, Perceived Financial Cost, System/ Software Quality, Trust, Brand Image, Behavioral Intention, and Actual Use. The research was conducted by making models, determining the population and research samples, making questionnaires, testing the quality of questionnaires, distributing questionnaires, processing data, testing hypotheses, analyzing results and conclusions. The survey is addressed to Charge.IN users. The questions in the survey use a modified TAM approach. Testing Model to test and analyze data from research instruments using the SMART PLS 3.2.9 application. From the results of the test and analysis, it can be seen that of the 14 research hypotheses, it was found that 8 failed to be rejected and 6 were rejected. It is known that Behavioral Intention has a positive and significant effect on Actual Use, then Perceived Usefulness and Brand Image have positive and significant effect on Behavioral Intention. System/ Software Quality positively and significantly affects Perceived Usefulness, Perceived Ease of Use, Perceived Security, Perceived Risk, and Trust. Meanwhile Perceived Ease of Use, Perceived Security, Perceived Risk, Self Efficacy, Perceived Cost, and Trust do no affect Behavioral Intention. The results of this study can be a recommendation to PLN to increase the existence of Charge.IN as a charging platform and PLN as pioneers of provider electric vehicle infrastructure in Indonesia.

Item Type:	Thesis (Masters)
Additional Information:	RTMT 658.834 2 Yuw a-1 2022
Uncontrolled Keywords:	minat penggunaan, Charge.IN, Electric Vehicle, Technology Acceptance Model (TAM). interest of use, Charge.IN, Electric Vehicle, Technology Acceptance Model (TAM).
Subjects:	T Technology > T Technology (General)
Divisions:	Interdisciplinary School of Management and Technology (SIMT) > 61101-Master of Technology Management (MMT)
Depositing User:	Mr. Marsudiyana -
Date Deposited:	08 Jul 2026 04:19
Last Modified:	08 Jul 2026 04:19
URI:	http://repository.its.ac.id/id/eprint/134501

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