scholarly journals Path Analisis Technology Acceptance Model pada Penerapan Blended Learning

2020 ◽  
Vol 6 (2) ◽  
pp. 130-138
Author(s):  
Wawan Laksito Yuly Saptomo ◽  
Elistya Rimawati
Keyword(s):  
Structural Equation Modeling ◽  
Blended Learning ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Structural Equation ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
E Learning ◽  
Acceptance Model

Model pembelajaran Blended Learning  adalah sistem yang mengkolaborasikan pembelajaran tatap muka kelas dengan pembelajaran online memanfaatkan E-Learning. Penelitian ini bertujuan untuk mengukur tingkat penerimaan dan perilaku peserta didik terhadap teknologi  dari model pembelajaran Blended Learning. Variabel yang dikembangkan merujuk pada Technology Acceptance Model (TAM), yaitu  model penerimaan pengguna terhadap sistem informasi. Model TAM dikembangkan dari teori psikologis yang menjelaskan bahwa perilaku pengguna sistem berlandaskan pada kepercayaan, sikap, keinginan, dan hubungan perilaku pengguna. Data yang diperoleh dianalisis hubungan struktur variabel dengan Structural Equation Modeling (SEM) menggunakan metode Partial Least Square (PLS). Berdasarkan hasil Analisa PLS dan Boostraping diperoleh nilai Pengaruh Langsung, Pengaruh Tidak Langsung, dan Pengaruh tidak langsung sesuai jalur spesifikasi melalui variabel intervening (Spesific Indirect Efect).

scholarly journals ANALISIS TECHNOLOGY ACCEPTANCE MODEL PADA APLIKASI PLATFORM SHOPEE DENGAN PENDEKATAN PARTIAL LEAST SQUARE (STUDI KASUS PADA MAHASISWA UNIVERSITAS DIPONEGORO)

2021 ◽  
Vol 10 (3) ◽  
pp. 423-434
Author(s):  
Ovie Auliya’atul Faizah ◽  
Suparti Suparti ◽  
Abdul Hoyyi
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Latent Variables ◽  
Latent Variable ◽  
Structural Equation ◽  
Partial Least Square ◽  
Least Square ◽  
Primary Data ◽  
Equation Modeling ◽  
Acceptance Model

E-commerce refers to business transactions using digital networks such as the internet. Based on the rank on the Appstore and Playstore, Shopee places the first rank. In 2019, Shopee had 56 million visitors. Meanwhile, in the same year, it had 3,225 workers. The imbalance between the number of Shopee visitors and Shopee employees allows users to be disappointed with Shopee's services, but on the other hand, there are also many users who are happy with its services. With both positive and negative responses to the services provided by Shopee, this study analyzes the factors affecting the acceptance of Shopee Apps on students of Universitas Diponegoro Semarang. The analysis was based on the Technology Acceptance Model (TAM). It used the Structural Equation Modeling with the Partial Least Square (SEM-PLS) approach. The study used primary data obtained by distributing questionnaires to students of Universitas Diponegoro. The result showed 28 valid indicators, 5 deal inner models, and 8 significant pathways. All the causality between latent variables contained in the Technology Acceptance Model (TAM) have a positive and significant effect, it's just that the results of integrating trust variables on TAM, namely the latent variable between trust and interest in usage behavior, have no significant effect. 

scholarly journals ANALYZING ACTUAL E-FILING USAGE AMONG TAXPAYERS BASED ON TECHNOLOGY ACCEPTANCE MODEL

2021 ◽  
Vol 4 (2) ◽  
pp. 128-137
Author(s):  
Ita Salsalina Lingga ◽  
Verani - Carolina ◽  
Vinny Stephanie Hidayat ◽  
Wayan Feri Permana
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Structural Equation ◽  
Ease Of Use ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Perceived Ease Of Use ◽  
Acceptance Model ◽  
Tax Reporting

This research focuses on examining factors that affect taxpayer’s intention to use e-filing in tax reporting based on Technology Acceptance Model (TAM).It analyzes behavioral attitudes factor that affect behavioral intention towarde-filing use and its impact on actual e-filing usage. Analysis of data uses Partial Least Square (PLS) of Structural Equation Modeling (SEM). The analysis unit in this research consists of lecturers from state and private universities in Indonesia, where questionnaires are used to collect primary data. This research findings show that perceived ease of use and perceived usefulnessaffect taxpayers’ willingness to use e-filing which in turn affects the actual e-filing usage. The result of this study is intended to resolve the issue of low taxpayer’s intention toward e-filing use in tax reporting.

scholarly journals ANALISIS TECHNOLOGY ACCEPTANCE MODEL PADA APLIKASI PLATFORM SHOPEE DENGAN PENDEKATAN PARTIAL LEAST SQUARE (STUDI KASUS PADA MAHASISWA UNIVERSITAS DIPONEGORO)

2022 ◽  
Vol 10 (4) ◽  
pp. 532-543
Author(s):  
Ovie Auliya’atul Faizah ◽  
Suparti Suparti ◽  
Abdul Hoyyi
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Latent Variables ◽  
Latent Variable ◽  
Structural Equation ◽  
Partial Least Square ◽  
Least Square ◽  
Primary Data ◽  
Equation Modeling ◽  
Acceptance Model

E-commerce refers to business transactions using digital networks such as the internet. Based on the rank on the Appstore and Playstore, Shopee places the first rank. In 2019, Shopee had 56 million visitors. Meanwhile, in the same year, it had 3,225 workers. The imbalance between the number of Shopee visitors and Shopee employees allows users to be disappointed with Shopee's services, but on the other hand, there are also many users who are happy with its services. With both positive and negative responses to the services provided by Shopee, this study analyzes the factors affecting the acceptance of Shopee Apps on students of Universitas Diponegoro Semarang. The analysis was based on the Technology Acceptance Model (TAM). It used the Structural Equation Modeling with the Partial Least Square (SEM-PLS) approach. The study used primary data obtained by distributing questionnaires to students of Universitas Diponegoro. The result showed 28 valid indicators, 5 deal inner models, and 8 significant pathways. All the causality between latent variables contained in the Technology Acceptance Model (TAM) have a positive and significant effect, it's just that the results of integrating trust variables on TAM, namely the latent variable between trust and interest in usage behavior, have no significant effect. 

scholarly journals ANALISIS PENERAPAN SISTEM E-LEARNING FPMIPA UPI MENGGUNAKAN TECHNOLOGY ACCEPTANCE MODEL (TAM)

2014 ◽  
Vol 19 (1) ◽  
pp. 128
Author(s):  
Wawan Setiawan ◽  
M Nurul Hana ◽  
Waslaluddin ,
Keyword(s):  
Structural Equation Modeling ◽  
Technology Acceptance ◽  
Open Source ◽  
Technology Acceptance Model ◽  
Structural Equation ◽  
Equation Modeling ◽  
E Learning ◽  
Acceptance Model

E-learning adalah kegiatan belajar yang menggunakan internet yang dapat dikombinasikan dengan kegiatan tatap muka yang ada di lembaga pendidikan. Fakultas Pendidikan Matematika dan Ilmu Pengetahuan Alam (FPMIPA) UPI telah mengembangkan sistem e-learning berbasis open source sejak tahun 2005. Penelitian ini bertujuan untuk melakukan analisis tingkat penerimaan user yaitu dosen dan mahasiswa terhadap sistem e-learning FPMIPA UPI dengan Technology Acceptance Model (TAM) melalui analisis model persamaan struktural (Struktural Equation Modeling/SEM). Hasil analisis menunjukan bahwa terdapat faktor-faktor yang saling berhubungan serta berpengaruh terhadap tingkat penerimaan e-learning FPMIPA. Perbedaan individu berpengaruh terhadap persepsi kemudahan, organisasi bahan ajar elektronik dan persepsi kemudahan berpengaruh terhadap persepsi kemanfaatan, persepsi kemudahan dan kemanfaatan berpengaruh terhadap minat, dan minat berpengaruh terhadap kondisi nyata penggunaan. Dari hasil tersebut, maka para pengguna akan senantiasa secara nyata menggunakan e-larning FPMIPA sebagai bagian dari sumber dan media pembelajaran sehari-hari. Keberadaan pemahaman akan manfaat sangat dipengaruhi oleh faktor di luar pengguna yakni organisasi bahan ajar elektronik yang dimiliki. Lain halnya untuk pemahaman akan adanya kemudahan menggunakan e-larning FPMIPA dipengaruhi oleh faktor luar yakni kondisi dari perbedaan individu pengguna.Kata kunci: E-learning, Structural Equation Modeling (SEM), Technology Acceptance Model (TAM)

scholarly journals The Analysis of Factors That Influences People Intention to Use in Electronic Money

2020 ◽  
Vol 8 (2) ◽  
pp. 83-90
Author(s):  
Tasya Octaviani Fahiraningrum ◽  
Richard Richard
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Structural Equation ◽  
Ease Of Use ◽  
Partial Least Square ◽  
Perceived Usefulness ◽  
Least Square ◽  
Equation Modeling ◽  
Electronic Money ◽  
Acceptance Model

Abstract   The development of banking service technology now allows us to do non-cash transactions using various media. Electronic money as one of the favorite media that is widely used by the public is now experiencing innovation with the new breakthrough of Electronic Money Flazz Gen 2 that can conduct transaction services via smartphones. With this latest innovation comes a question related to what factors that influence people using electronic money Flazz Gen 2. Therefore, quantitative research using a questionnaire conducted using the Technology Acceptance Model (TAM) analyzed using the Structural Equation Modeling – Partial Least Square (SEM-PLS) method assisted by software SmartPLS 3.0. The factors studied were taken from the variables in the Technology Acceptance Model (TAM) developed by Davis et.al (1996), namely perceived ease of use, perceived usefulness, and trust variables taken from Gefen's theory (2003).   Keywords: TAM, Electronic Money, SEM-PLS,

scholarly journals Penerimaan dan Intensi Penggunaan E-Learning Mahasiswa Akuntansi pada Kondisi Sumber Daya Terbatas

2021 ◽  
Vol 16 (2) ◽  
pp. 57
Author(s):  
Ismanto Ismanto ◽  
Arnadi Chairunnas
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Structural Equation Modelling ◽  
Structural Equation ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modelling ◽  
E Learning ◽  
Acceptance Model

Penelitian ini bertujuan untuk mengeksplorasi bagaimana penerimaan dan intensi perilaku penggunaan E-Learning mahasiswa akuntansi yang berada di daerah yang memiliki keterbatasan sumber daya seperti pada konteks penggunaan E-Learning di Indonesia khususnya Sulawesi Tenggara. Penelitian ini merupakan penelitian kuantitatif dengan mengaplikasikan studi eksplanatori. Rancangan penelitian menggunakan model penelitian Structural Equation Modelling (SEM) melalui pendekatan Partial Least Square (PLS) dengan memanfaatkan aplikasi SmartPLS versi 3.0. Variabel penerimaan teknologi dan intensi penggunaan teknologi diukur dengan menggunakan teori Technology Acceptance Model (TAM) (Davis, 1989) dimana terdapat 4 variabel yang akan diukur yaitu persepsi kegunaan, persepsi kemudahan penggunaan, sikap terhadap penggunaan, dan variabel intensi perilaku untuk menggunakan. Masing-masing variabel diukur dengan 3 indikator. Penelitian ini menunjukkan bahwa variabel persepsi kegunaan memberikan pengaruh yang signifikan terhadap terhadap sikap terhadap penggunaan dan intensi perilaku penggunaan E-Learning. Selain itu sikap untuk menggunakan juga berpengaruh terhadap intensi perilaku penggunaan E-Leaning. Sebaliknya persepsi kemudahan penggunaan tidak memberikan pengaruh yang signifikan terhadap sikap terhadap penggunaan dan intensi perilaku penggunaan E-Learning.<p>Kata kunci : TAM; Sumber daya terbatas ; E-Learning; Akuntansi</p>

Analyzing Factors Influencing Behavior Intention to Use Snapchat and Instagram Stories

2017 ◽  
Vol 4 (2) ◽  
pp. 75-81 ◽  
Author(s):  
Vincent Valiant Coa ◽  
Johan Setiawan
Keyword(s):  
Structural Equation Modeling ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Social Presence ◽  
Structural Equation ◽  
Equation Modeling ◽  
Intention To Use ◽  
Generation Z ◽  
Acceptance Model ◽  
Behavioral Intention To Use

Snapchat, and Instagram are two social networks which recently gain their users after adopting such a feature called "Story" which allows a certain post to be disappeared after a certain time. This research takes up this technology trends analyzing the factors that probably affect the behavioral intention to use Snapchat and Instagram stories among generation Z. Factors are analyzed using Structural Equation Modeling, with basis model and variables from Technology Acceptance Model. Data collection was targeted to finished within 1 week using online questionnaire with respondent from Jakarta and Tangerang for 100 respondent that are using both Snapchat stories and Instagram Stories. There are two tools researcher usually use to analyze Structural Equation Modeling: SPSS AMOS and LISREL. In this research, researchers choose AMOS. From six hypothesis proposed for Snapchat analysis, four hypothesis is accepted, while the other two are rejected. Meanwhile, on Instagram Stories analysis, five hypothesis is accepted and one hypothesis is rejected. This study finds out the Social Presence is an exogenous variable which has a major role in affecting other variables. While Perceived Enjoyment influenced the behavioral intention to use Snapchat and Instagram Stories the most. Index Terms—Structural Equation Modeling, Technology Acceptance Model, influence, generation Z, Snapchat, Instagram REFERENCES [1] L. Chin and Z. Ahmad, "Perceived Enjoyment and Malaysian Consumers’ Intention to Use a Single Platform EPayment", SHS Web of Conferences, vol. 18, 2015. [2] M. Ariff, T. Shan, N. Zakuan, N. Ishak and M. Wahi, "Examining Users' E-Satisfaction in the Usage of Social Networking Sites; Contribution from Utilitarian and Hedonic Information Systems", IOP Conference Series: Materials Science and Engineering, vol. 58, 2014. [3] K. Hassanein and M. Head, "Manipulating perceived social presence through the web interface and its impact on attitude towards online shopping", International Journal of HumanComputer Studies, vol. 65, no. 8, pp. 689-708, 2007. [4] P. Surendran, "Technology Acceptance Model: A Survey of Literature", 2012. [5] F. Davis, "Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology", MIS Quarterly, vol. 13, no. 3, p. 319, 1989

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