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Mobile Payment Adoption in Generation Z Using Extended Unified Technology Acceptance and Use of Technology Alfa'izy, Erick Ahmad Fahmi; Pramana, Edwin; Gunawan
Indonesian Journal of Information Systems Vol. 6 No. 1 (2023): August 2023
Publisher : Program Studi Sistem Informasi Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/ijis.v6i1.7340

This study investigates the possible factors determining the success of m-payment adoption in Generation Z using the basic Unified Technology Acceptance and Use of Technology (UTAUT) model based on previous research. A theoretical model derived from previous research that combines factors from the acceptance model of UTAUT with relevant m-payment factors (Trust, Perceived Security, Network Externalities). The sample includes 735 participants from three cities in Indonesia. Structural equation models are used to analyze and develop theoretical models. Only four hypotheses can be accepted based on the analysis of the seven hypotheses proposed. Trust, Perceived Security, Performance Expectancy, and Social Influence positively and significantly impact Behavioral Intention. Meanwhile, Facilitating Conditions, Effort Expectancy, and Network Externalities are insignificant to Behavioral Intention. There are many research models for adopting m-payments, but in developing countries, including Indonesia, the cellular penetration rate is already very high. However, the acceptance of m-payments in various trade transactions is still embryonic, especially in Generation Z. Therefore, this research presents a comprehensive investigation of the factors that influence the adoption of m-payments in Generation Z in Indonesia.

FACTORS INFLUENCING STUDENTS' INTENTION TO ADOPT E-LEARNING WITH EXTENDED UTAUT Purnomohadi Sutedjo, Sing Tjoen; Pramana, Edwin; Gunawan, Gunawan
Journal of Economic, Bussines and Accounting (COSTING) Vol 7 No 6 (2024): COSTING : Journal of Economic, Bussines and Accounting
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/costing.v7i6.13747

This study aims to analyze the factors that influence students' intention to adopt e-learning in Surabaya, using a modified theoretical model of the Unified Theory of Acceptance and Use of Technology (UTAUT). Through a quantitative approach, data were collected from 489 respondents who had used e-learning, using a questionnaire distributed online. The results showed that Performance Expectancy, Effort Expectancy, and Learning Convenience had a significant influence on students' Behavioral Intention to use e-learning. Social Influence and Facilitating Conditions were proven to have no influence on Behavioral Intention. In addition, Educational Level acts as a moderating variable that strengthens the relationship between Learning Convenience and Behavioral Intention, with a stronger effect on postgraduate students. This study provides theoretical contributions by enriching the UTAUT study through the addition of new factors, as well as practical contributions for e-learning developers and educators in designing more effective and user-friendly platforms. These findings are expected to provide broader insights into the acceptance of e-learning across educational levels and geographic contexts.

Extending the Expectation Confirmation Model to Examine Continuous Use Mobile Banking: Security, Trust, and Convenience Habib, Ahmad; Pramana, Edwin; Junaedi, Hartarto; Ronando, Elsen
INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi Vol 9 No 1 (2025): February 2025
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/intensif.v9i1.23751

Background: Mobile banking adoption continues to grow, but user retention remains a challenge. Understanding the factors influencing continuance intention is crucial for improving long-term engagement. Prior research highlights the importance of confirmation, perceived usefulness, security, satisfaction, trust, and convenience, yet their interrelationships require further exploration. Objective: This study examines key determinants of users' intention to continue using mobile banking services, focusing on how confirmation, perceived usefulness, security, satisfaction, trust, and convenience influence this decision. Methods: A quantitative study was conducted using structural equation modeling (SEM) to analyze relationships among these factors. Data were collected from mobile banking users and assessed for statistical significance. Results: Confirmation significantly impacts perceived usefulness (0.576) and satisfaction (0.527). Perceived usefulness influences satisfaction (0.289) and continuance intention (0.396), while satisfaction also affects continuance intention (0.240). Trust plays a role (0.211), and perceived security strongly influences trust (0.651). Perceived convenience also impacts continuance intention (0.304), emphasizing its importance in user experience. Conclusion: Confirmation and security are critical for satisfaction and trust, which drive continued mobile banking use. Strengthening security, improving perceived usefulness, and fostering trust can enhance user retention. Future studies should explore additional variables, test the model across demographics, and assess the impact of emerging technologies like AI and blockchain. Longitudinal and experimental research may offer deeper insights into these evolving relationships.

Factors Influencing Continuance Intention to Play Online Games Keraf, Boniface Boliona Badilangoe; Pramana, Edwin; Gunawan
Teknika Vol. 14 No. 1 (2025): March 2025
Publisher : Center for Research and Community Service, Institut Informatika Indonesia (IKADO) Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34148/teknika.v14i1.1163

This study aims to identify and analyze the factors influencing continuance intention in playing online games, a rapidly growing global entertainment sector that attracts players from diverse backgrounds. Using the Expectation Confirmation Model (ECM), this research explores the psychological and behavioral aspects that drive players to continue playing. To achieve this objective, data were collected through a survey using Google Forms distributed to schools, colleges, and social media. A total of 505 active player responses were collected, and 469 valid data entries were retained after screening. The analysis was conducted using Structural Equation Modeling (SEM) with SPSS and AMOS software to identify the impact of each factor. The results from SPSS and AMOS calculations showed that Flow was not significant, and Engagement was excluded due to failing the validity test. These findings help developers and policymakers better understand player motivations to create more effective strategies for building a sustainable gaming industry. The study found that Social Influence had the greatest impact on continuance intention. Players were more likely to continue playing if the game was popular in their environment or had a large market. This factor fosters a sense of community and social support among players, from friends, family, and communities who play the same game. Perceived Usefulness and Perceived Enjoyment followed, contributing significantly as well.

Faktor Pengaruh Peralihan ke Online Learning pada Pegawai Negeri Sipil Berbasis Teori Push Pull Mooring Retno Susanti; Pramana, Edwin; Junaedi, Hartarto
Journal of Information System,Graphics, Hospitality and Technology Vol. 7 No. 1 (2025): Journal of Information System, Graphics, Hospitality and Technology
Publisher : Institut Sains dan Teknologi Terpadu Surabaya (d/h Sekolah Tinggi Teknik Surabaya)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37823/insight.v7i1.433

Pegawai Negeri Sipil (PNS) diwajibkan untuk terus mengembangkan kompetensi minimal 20 jam per tahun, yang umumnya dilakukan melalui pembelajaran tradisional Pandemi COVID-19 tahun 2020 mengubah paradigma ini dan menjadikan Online Learning sebagai solusi utama akibat pembatasan sosial dan lockdown untuk mengendalikan penyebaran virus. Bahkan, dalam perkembangannya, banyak instansi pemerintah mengadopsi konsep Corporate University untuk mendukung Online Learning, meskipun banyak menghadapi tantangan, seperti wilayah yang luas dan tersebar pada 38 provinsi dan 514 Kabupaten/Kota dan literasi digital yang rendah. Namun, seiring dengan meredanya pandemi, Online Learning menjadi suatu pilihan, bukan lagi keharusan dan pembelajaran dengan Traditional Learning kembali dibuka. Penelitian ini berusaha mengungkap faktor-faktor Pendorong (push) yang memengaruhi PNS untuk meninggalkan Traditional Learning, faktor-faktor yang menjadi Penarik (Pull) yang memengaruhi PNS untuk beralih pada Online Learning, dan faktor Penambat (Mooring) yang memengaruhi PNS untuk tetap menggunakan Traditional Learning atau beralih pada Online Learning. Berdasarkan data dari 463 responden PNS yang pernah menggunakan Traditional Learning maupun Online Learning yang diolah dengan metode analisa Structural Equation Model (SEM) dengan bantuan aplikasi SPSS dan AMOS, dapat diketahui bahwa seluruh variabel dalam Pull Factor secara keseluruhan memengaruhi keinginan berpindah, dan tidak seluruh variabel dalam Push Factor dan Mooring Factor yang memengaruhi keinginan berpindah.

Continuance Intention Pengguna Online Food Delivery di Indonesia dengan Menggunakan Extended Expectation Confirmation Model Kurniawan, David; Chandra, Francisca Haryanti; Pramana, Edwin
Journal of Information System,Graphics, Hospitality and Technology Vol. 7 No. 1 (2025): Journal of Information System, Graphics, Hospitality and Technology
Publisher : Institut Sains dan Teknologi Terpadu Surabaya (d/h Sekolah Tinggi Teknik Surabaya)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37823/insight.v7i1.434

Pertumbuhan pesat layanan online food delivery di Indonesia mengubah perilaku konsumen dalam pembelian makanan menggunakan aplikasi digital. Namun penelitian mengenai perilaku pengguna aplikasi layanan online food delivery ini masih terbatas. Dalam penelitian sebelumnya, variabel brand image dan income sebagai moderator terbukti memengaruhi continuance intention di sektor lain, namun belum banyak dieksplorasi dalam konteks online food delivery. Penelitian ini bertujuan menganalisis faktor-faktor yang mempengaruhi continuance intention pengguna online food delivery di Indonesia serta mengisi kesenjangan tersebut dengan mengeksplorasi pengaruh brand image serta peran income sebagai moderator terhadap continuance intention pengguna aplikasi online food delivery di Indonesia. Penelitian ini mengadopsi Expectation-Confirmation Model (ECM) yang diperluas dengan variabel tambahan seperti brand image, price saving orientation, dan perceived convenience. Income (pendapatan) digunakan sebagai variabel moderator untuk melihat pengaruh berdasarkan tingkat pendapatan pengguna. Metode yang digunakan dalam penelitian ini merupakan metode kuantitatif dengan mengembangkan model dan hipotesis, merancang kuesioner, serta melakukan pengumpulan dan analisis data. Sebanyak 409 responden dengan pengalaman sebelumnya menggunakan layanan online food delivery dianalisis menggunakan Structural Equation Modeling (SEM) dan diproses dengan software AMOS. Hasilnya menunjukkan bahwa confirmation, perceived usefulness, satisfaction, dan perceived convenience berpengaruh positif terhadap continuance intention. Sebaliknya, brand image dan price saving orientation tidak berpengaruh signifikan. Income memoderasi hubungan antara perceived usefulness dan continuance intention, dengan pengaruh yang lebih kuat pada pengguna berpendapatan rendah. Temuan ini memberikan wawasan bagi penyedia layanan untuk meningkatkan retensi, khususnya pada pengguna dengan pendapatan rendah

Mobile Payment Adoption in Generation Z Using Extended Unified Technology Acceptance and Use of Technology Alfa'izy, Erick Ahmad Fahmi; Pramana, Edwin; Gunawan
Indonesian Journal of Information Systems Vol. 6 No. 1 (2023): August 2023
Publisher : Program Studi Sistem Informasi Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/ijis.v6i1.7340

This study investigates the possible factors determining the success of m-payment adoption in Generation Z using the basic Unified Technology Acceptance and Use of Technology (UTAUT) model based on previous research. A theoretical model derived from previous research that combines factors from the acceptance model of UTAUT with relevant m-payment factors (Trust, Perceived Security, Network Externalities). The sample includes 735 participants from three cities in Indonesia. Structural equation models are used to analyze and develop theoretical models. Only four hypotheses can be accepted based on the analysis of the seven hypotheses proposed. Trust, Perceived Security, Performance Expectancy, and Social Influence positively and significantly impact Behavioral Intention. Meanwhile, Facilitating Conditions, Effort Expectancy, and Network Externalities are insignificant to Behavioral Intention. There are many research models for adopting m-payments, but in developing countries, including Indonesia, the cellular penetration rate is already very high. However, the acceptance of m-payments in various trade transactions is still embryonic, especially in Generation Z. Therefore, this research presents a comprehensive investigation of the factors that influence the adoption of m-payments in Generation Z in Indonesia.

Factors Affecting The Adoption Of Mobile Learning In Vocational High Schools And High Schools Using Extended UTAUT Safitri, Lia; Pramana, Edwin; Setiawan, Esther Irawati
Eduvest - Journal of Universal Studies Vol. 4 No. 8 (2024): Journal Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v4i8.1718

M-Learning is a learning process that uses technology or mobile devices such as smartphones, tablets or wearable devices to support the learning process. This is still being done because there are many different theoretical models proposed. However, there is no model that can be generally accepted as an established theoretical model in the application of M-learning in vocational and high school education environments in Sidoarjo. This research is expected to make a significant contribution to the development of a better theoretical understanding of the determining factors that influence M-learning adoption using the Unified Theory of Acceptance and Use of The Technology (UTAUT). To collect data, researchers distributed questionnaires to respondents using Google Form. The data used were 444 M-learning users. Theoretical model research was carried out using Structural Equation Modeling (SEM) analysis, then SPSS and Amos as analysis support. There are seven factors that determine the results of acceptance of M-Learning adoption in this research, namely Facilitating Condition, Performance Expectancy, Effort Expectancy, Perceived Convenience, Social Influence, School Management Support. The six factors that show a positive and significant relationship are Facilitating Condition, Performance Expectancy, Effort Expectancy, Perceived Convenience, Social Influence, School Management Support. Perceived Convenience has the first strongest positive and significant value, and Performance Expectancy has the second strongest value. Each factor has a moderate influence on Intention to Use. This factor is the most influential in implementing M-Learning in vocational and high schools in the Sidoarjo area.

Adopsi Blended Learning untuk Mahasiswa Perguruan Tinggi dengan Menggunakan Pendekatan Extended UTAUT Munsharif, Achmad; Pramana, Edwin; Zaman, Lukman
Rekayasa Vol 17, No 1: April, 2024
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/rekayasa.v17i1.25869

This research aims to determine the factors that influence the understanding of students' intentions in higher education in using blended learning and determine the relationship between factors in the theoretical model. This research was conducted because there is still a lack of research in the world that discusses the application of blended learning in higher education in developing countries such as Indonesia. Blended learning in higher education during the Covid-19 pandemic is still needed today because educational institutions have limited space to accommodate students and to follow technological development trends and utilize them in the world of education. Questionnaires distributed via Google Form were used to collect data. The sample was 541 blended learning users from various universities in Indonesia. All variables from the theoretical model are measured using existing scales. Structural Equation Model (SEM) is used to analyze the theoretical model. SPSS and Amos are used as analysis support software. This research contributes to the theoretical understanding of Blended Learning adoption as well as practices and guidelines for higher education institutions to successfully implement Blended Learning in their institutions. Of the eight initial hypotheses, there are seven hypotheses that are very significant. The three factors with the largest magnitude are effort expectancy, performance expectancy and system functionality. Effort expectancy is the most influential factor in implementing blended learning in higher education institutions.

Image Recognition Menggunakan Metode Cosine Distance untuk Aplikasi Penanganan Food Waste Chandra, Monica; Pramana, Edwin
Intelligent System and Computation Vol 4 No 2 (2022): INSYST: Journal of Intelligent System and Computation
Publisher : Institut Sains dan Teknologi Terpadu Surabaya (d/h Sekolah Tinggi Teknik Surabaya)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52985/insyst.v4i2.250

Badan Pangan PBB (FAO) menyatakan 33% - 50% makanan yang telah diproduksi, tidak dikonsumsi dengan semestinya. Selain itu, 11% produk makanan yang dibeli terbuang bahkan tidak dibuka. Tahun 2016-2017, Indonesia sendiri telah menjadi negara terbesar kedua setelah Arab Saudi yang menghasilkan food waste terbanyak di dunia. Penumpukan limbah ini berdampak pada lingkungan. Oleh karena itu, aplikasi “Jangan Dibuang” dibuat dengan tujuan untuk mengurangi food waste yang dihasilkan. Aplikasi ini dibuat untuk platform Android dengan framework Flutter dan database Amazon Web Service Aurora. Selain itu, aplikasi ini juga dilengkapi dengan fitur image recognition yang memanfaatkan Tensorflow untuk mempermudah pencarian makanan dengan sebuah gambar yang mana gambar tersebut akan diekstrak fiturnya menjadi matriks yang kemudian dibandingkan dengan metode Cosine Distance. Aplikasi “Jangan Dibuang” dapat digunakan oleh 3 jenis aktor, yaitu administrator, penyedia makanan, dan pembeli. Uji coba dilakukan terhadap 7 penyedia makanan dan 20 pembeli. Berdasarkan hasil uji coba yang telah dilakukan, didapatkan 201 transaksi, yang mana telah menyelamatkan 285 limbah makanan. 59 dari 201 transaksi ditujukan untuk donasi. Fungsionalitas aplikasi penyedia makanan mendapatkan nilai 79,98% untuk kriteria sangat baik. Untuk fungsionalitas aplikasi pembeli, nilai yang didapatkan adalah 83% untuk kriteria sangat baik. Dari sisi Image Recognition sendiri menunjukkan akurasi 93,3% setelah menggunakan Keras Application Model EfficientNetV2 yang membantu mengenali kedua gambar walaupun dengan pencahayaan dan posisi pengambilan yang berbeda.

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