Pengaruh E-Payment Trust terhadap Minat Transaksi pada E-Marketplace Menggunakan Framework Technology Acceptance Model (TAM) 3

Lestari, Merryana; Purnomo, Hindriyanto Dwi; Sembiring, Irwan

doi:10.25126/jtiik.2021855212

Cited by 5 publications

(4 citation statements)

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“…The system, service, and information quality are essential turning points in the e-Marketplace system development process [28]. The quality can be assessed by how the user responds to the navigation of the system, whether the level of system response is good, how the story of user trust in the design, especially in the transaction process, and the level of system security.…”

Section: Resultsmentioning

confidence: 99%

Information Technology Governance Design in DevOps-Based E-Marketplace Companies Using COBIT 2019 Framework

2022

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The E-Marketplace system is a digital place where sellers and buyers meet virtually, and transactions can be processed safely. E-Marketplace companies are oriented toward consumer-centric products and services and operate and have 24/7 non-stop transaction activities. E-Marketplace system development has become the digital transformation in Information Technology (IT) governance that meets the requirements of a system-based automated control with the application of DevOps principles. This study uses a mixed method approach through questionnaires, interviews, expert judgment, and relevant literature reviews related to the e-Marketplace system and IT governance concepts using the COBIT 2019 framework, which has 11 design factors with 40 IT processes to obtain the most appropriate governance model for e-Marketplace companies. The results were obtained in the form of 6 (six) methods in the IT governance model using the DevOps approach, namely the APO03 – Managed Enterprise Architecture, APO04 – Managed Innovation, BAI04 – Managed Availability and Capacity, BAI06 – Managed IT Changes, BAI11 – Managed Projects, and DSS03 – Managed Problems with a score ≥ 75 and the capability level target is at level 4.

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Section: Resultsmentioning

confidence: 99%

Information Technology Governance Design in DevOps-Based E-Marketplace Companies Using COBIT 2019 Framework

2022

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“…Salah satu contohnya, masyarakat lebih memilih berbelanja kebutuhan primer, sekunder dan tersier menggunakan Electronic Commerce atau e-commerce dibandingkan dengan berbelanja langsung di tempat. Hal ini sejalen dengan perkembangan masyarakat atas kebutuhan layanan bisnis berbasis daring dengan menggunakan transaksi pembayaran berbasis digital juga seperti ewallet yang memiliki berbagai keunggulan yaitu mudahnya akses dan kenyamanan serta biaya operasional yang jauh lebih ekonomis dengan menggunakan media internet sebagai akses dari data digital dan tetap mematuhi protokol kesehatan (Lestari et al, 2021).…”

Section: Pendahuluanunclassified

Penggunaan E-Wallet Dalam Transaksi E-Commerce: Analisis Unified Theory of Acceptance and Use of Technology (Utaut)

Puspaningrum,

Atahau

2023

jepk

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E-wallet is an electronic service used as a payment tool in electronic form where the amount of money will be stored in a certain electronic medium. However, there are still problems related to privacy and data security also network access while using e-wallet. The use of e-wallet is expected to increase efficiency and effectiveness in conducting transactions, helping the smoothness of small but frequent mass transactions. The Unified Theory of Acceptance and Use of Technology (UTAUT) analysis is used to predict a person's attitudes and acceptance of the technology used and provide information on what factors can encourage the user's attitudes. The purpose of this study is to analyze the use of e-wallets in transactions on e-commerce using the UTAUT framework and to determine the impact of using E-wallets as a non-cash payment tool for e-commerce using the Unified Theory of Acceptance and Use of Technology (UTAUT) framework on 109 student respondents of Faculty Economics and Business Satya Wacana Christian University using explanatory research through a quantitative approach. The results of this study prove that there are two accepted hypotheses. Only the social influence and facilitating conditions variables have a positive and significant effect on the user's interest in using the ShopeePay service with an interest in transactions on e-commerce.

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“…RNN adalah salah satu cara memproses data yang bersambung (sequential data) dari keluarga Neural Network. Cara yang dilakukan RNN untuk dapat secara otomatis menyimpan informasi dari masa lalu adalah dengan melakukan looping di dalam arsitekturnya (Lestari et. al., 2021).…”

Section: Recurrent Neural Network (Rnn)unclassified

Analisis Sentimen Terhadap Pengaruh Minat Belanja Berdasarkan Komentar di Marketplace Menggunakan Metode Recurrent Neural Network (RNN)

Lasatira,

Hartomo,

Sembiring

2023

JSinbis

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Product reviews on the marketplace can provide useful information if they are properly processed. Product review analysis can be performed by merchants to obtain information that can be used to evaluate products and services. It is not enough to look at the number of stars in product review analysis activities; it is also necessary to look at the entire contents of the review comments to determine the intent of the review. This can be done manually in small quantities, but in large quantities, the system is more efficient. In order to understand the intent of the reviews, a system that can effectively analyze many reviews is required. Using the Recurrent Neural Network (RNN) method, this study aims to analyze sentiment on the influence of shopping interest based on comments in the marketplace. The RNN model is trained to recognize positive and negative sentiments using data from the marketplace. The sentiment analysis results will be used to assess the impact on user shopping interest in the marketplace. Sentiment analysis was performed in this study using the RNN method in the GRU/LSTM training model with epochs. The researcher determined the epoch to achieve high accuracy. The data used for model training and testing is separated into training and testing data before it is used. A comparison of 80% of training data and 20% of test data is used to split data. This study uses a training model with 77 epochs and a batch size of 128 to create a system that automatically calculates comment sentiment in the marketplace with a 100% accuracy value and determines positive and negative sentiments.

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Pengaruh E-Payment Trust terhadap Minat Transaksi pada E-Marketplace Menggunakan Framework Technology Acceptance Model (TAM) 3

Cited by 5 publications

References 0 publications

Information Technology Governance Design in DevOps-Based E-Marketplace Companies Using COBIT 2019 Framework

Information Technology Governance Design in DevOps-Based E-Marketplace Companies Using COBIT 2019 Framework

Penggunaan E-Wallet Dalam Transaksi E-Commerce: Analisis Unified Theory of Acceptance and Use of Technology (Utaut)

Analisis Sentimen Terhadap Pengaruh Minat Belanja Berdasarkan Komentar di Marketplace Menggunakan Metode Recurrent Neural Network (RNN)

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