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All Journal Techno.Com: Jurnal Teknologi Informasi EXPERT: Jurnal Manajemen Sistem Informasi dan Teknologi Scan : Jurnal Teknologi Informasi dan Komunikasi JURIKOM (Jurnal Riset Komputer) Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi bit-Tech Nusantara Science and Technology Proceedings KLIK: Kajian Ilmiah Informatika dan Komputer Journal Of Information System And Artificial Intelligence Innovative: Journal Of Social Science Research
Eristya Maya Safitri
Universitas Pembangunan Nasional Veteran Jawa Timur
Agriculture, Biological Sciences & Forestry Humanities Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Medicine & Pharmacology Public Health Other

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Evaluasi Faktor Penerimaan Live Streaming di Platform E-commerce TikTokShop Menggunakan TAM 3 Ayunda Wardhatul Fitrah; Eristya Maya Safitri; Rafika Rahmawati
bit-Tech Vol. 7 No. 3 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v7i3.2263

Abstract

Perkembangan teknologi informasi telah mengubah pola perilaku konsumen dalam berbelanja secara daring. Salah satu tren terkini dalam e-commerce ialah fitur live streaming, yang memudahkan interaksi secara real-time antar penjual dan pembeli. Tiktok Shop menjadi salah satu platform yang berhasil mengadopsi strategi ini untuk meningkatkan pengalaman belanja digital. Namun, adopsi fitur ini masih dipengaruhi oleh beberapa faktor. Penelitian ini guna menganalisis faktor yang memengaruhi penerimaan live streaming TikTok Shop menggunakan Technology Acceptance Model 3 (TAM 3). Dengan metode kuantitatif berbasis survei, penelitian ini mengumpulkan data dari 400 responden yang pernah bertransaksi melalui live streaming TikTok Shop. Data melalui pendekatan Structural Equation Modeling-Partial Least Squares (SEM-PLS). Hasil penelitian menampakkan inovasi dan kepercayaan pengguna mendapati pengaruh signifikan terhadap keputusan pembelian serta adopsi teknologi dalam ekosistem digital. Sementara itu, risiko yang dirasakan mendapati pengaruh yang lebih rendah dibandingkan dengan faktor lainnya. Temuan ini mengindikasikan meskipun konsumen menyadari adanya potensi risiko dalam transaksi digital, mereka tetap melakukan pembelian dan mengadopsi teknologi baru apabila manfaat serta pengalaman belanja yang didapatkan lebih besar dibandingkan risiko yang mungkin terjadi. Kesimpulan dari penelitian ini menekankan pentingnya berfokus pada peningkatan kepercayaan, transparansi informasi, serta kemudahan dalam penggunaan teknologi guna mempercepat penerimaan dan adopsi teknologi oleh pengguna. Rekomendasi yang diberikan meliputi optimalisasi fitur interaktif, peningkatan sistem keamanan transaksi, serta strategi promosi yang lebih menarik dan edukatif untuk meningkatkan pemahaman serta kenyamanan pengguna dalam mengadopsi fitur live streaming TikTok Shop sebagai bagian dari pengalaman belanja digital mereka.
Evaluation of Watsons ID Application Adoption Among Generation Z Users: Applying the UTAUT2 Byanca Rebecca Yocelyn Sitompul; Anita Wulansari; Eristya Maya Safitri
bit-Tech Vol. 8 No. 1 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i1.2405

Abstract

The rapid advancement of digital technology has significantly transformed the retail landscape, particularly within the beauty and health e-commerce sector. In response to this shift, the Watsons ID application was developed to provide a fast, convenient, and feature-rich platform for online shopping. This study examines how Generation Z consumers in Indonesia adopt and use the Watsons ID application by applying the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) framework. A quantitative approach was employed using Partial Least Squares Structural Equation Modeling (PLS-SEM), with data collected from 410 respondents through purposive sampling. The research specifically targeted Indonesian Generation Z users who have experience with the Watsons ID application. The findings indicate that Performance Expectancy, Social Influence, Price Value, and Habit have a significant positive impact on users' intention to use the application. Furthermore, Habit and Behavioral Intention positively influence actual usage behavior. Conversely, Effort Expectancy and Facilitating Conditions do not show a significant effect on Behavioral Intention, and Facilitating Conditions also do not affect Use Behavior. These insights provide valuable guidance for e-commerce developers and beauty retailers seeking to optimize digital strategies, enhance user experience, and strengthen customer engagement specifically targeted toward Generation Z consumers in the Indonesian market.
Analysis of Factors Influencing the Acceptance of Riliv Application Using UTAUT2 Abrila Fatzali; Anita Wulansari; Eristya Maya Safitri
bit-Tech Vol. 8 No. 1 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i1.2639

Abstract

The rapid growth of digital technologies has enabled the emergence of online counseling services as alternative solutions for addressing mental health issues. Riliv is one such platform that provides digital psychological support through professional consultations, guided meditation, and journaling features. However, few studies have applied the UTAUT2 model to examine user acceptance of such platforms within the Indonesian context. This research addresses that gap by extending the UTAUT2 model with three additional constructs: e-health literacy, privacy concern, and trust. A quantitative approach was employed through a structured survey of 400 participants, with data analyzed using SEM-PLS. The findings indicate that performance expectancy, effort expectancy, social influence, facilitating conditions, privacy concern, and trust significantly influence users’ behavioral intention to adopt Riliv. Interestingly, price value and e-health literacy were found to be insignificant, suggesting that users may place greater emphasis on emotional safety and social dynamics than on financial or informational aspects when choosing mental health platforms. Moreover, while performance expectancy is often a key predictor in technology adoption, it may be less dominant in emotionally driven contexts such as mental health. The extended UTAUT2 model proved effective in predicting user acceptance, confirming its relevance for evaluating digital mental health services in Indonesia. These insights emphasize the importance of building trust, ensuring privacy, and fostering a socially supportive, user-friendly experience. Collaboration between developers and mental health professionals is crucial to aligning technological design with user expectations and emotional needs.
Evaluation of the SSW Alfa Website using Webqual 4.0 Modification and Importance Performance Analysis Auditi Kurnia Wijayanti; Asif Faroqi; Eristya Maya Safitri
bit-Tech Vol. 8 No. 1 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i1.2643

Abstract

Advancements in information technology have encouraged governments to digitize public services to enhance accessibility, transparency, and efficiency. The Surabaya Single Window (SSW) Alfa website was developed to facilitate public administrative processes. However, recurring user complaints regarding registration failures, verification delays, and system instability suggest weaknesses in service delivery. This study evaluates the quality of the SSW Alfa website using a modified WebQual 4.0 framework—expanded with reliability, trust, and citizen support—combined with the Importance Performance Analysis (IPA) method. The model consists of six variables: usability, information quality, service interaction quality, reliability, trust, and citizen support. A quantitative approach was employed by distributing a questionnaire to 385 users who had accessed the platform at least twice. Each item was assessed using a five-point Likert scale for both performance and importance. Data were analyzed using SPSS 29 and Excel. The largest gaps were found in information quality and reliability, with conformity level of 80–81%. The results showed an average conformity level of 93%, with most indicators producing negative gap values, indicating that actual performance falls short of user expectations. The IPA mapping identified four priority indicators in Quadrant I—information accuracy, information completeness, system reliability, and performance consistency—as critical areas for immediate improvement. These findings highlight the need for technical and content-related enhancements to better align digital services with user needs. This study contributes to the evaluation of e-government platforms by extending the WebQual model and offering actionable insights for improving digital service quality in the public sector.
Analyzing User Acceptance Factors in Digital E-Ticketing Systems Using Extended UTAUT2 Framework Achmad Rafi Argya Rasya; Anita Wulansari; Eristya Maya Safitri
bit-Tech Vol. 8 No. 2 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i2.3089

Abstract

Digital ticketing platforms are reshaping fan engagement in Indonesia’s football ecosystem. This study examines acceptance of PSSI’s Kita Garuda platform by testing how instrumental benefits (usefulness and ease), social cues, enjoyment, price value, and enabling conditions relate to users’ intention to keep using the service. We extend UTAUT2 with two well-motivated additions: Service Satisfaction, which captures whether the end-to-end experience meets expectations, and Psychological Discomfort, which indexes anxiety or unease when transacting online. Using survey data and Partial Least Squares Structural Equation Modeling with bootstrapping, we find that Performance Expectancy (t=4.58, p<0.001), Effort Expectancy (t=3.92, p<0.001), Hedonic Motivation (t=5.03, p<0.001), Price Value (t=4.20, p<0.001), and Social Influence (t=3.12, p=0.002) significantly predict continued intention, whereas Facilitating Conditions (t=1.45, p=0.144) and Habit (t=1.60, p=0.110) do not. Measurement quality met conventional thresholds (α≥0.85; CR>0.90; AVE>0.50). Service Satisfaction helps explain why benefits translate into ongoing use higher satisfaction strengthens the link between perceived benefits and intention (partial mediation). Psychological Discomfort weakens the positive association between intrinsic drivers especially enjoyment and intention (interaction significant, p<0.05). Results are robust to alternative specifications and item-deletion diagnostics; bootstrapped confidence intervals exclude zero across significant paths. Practical implications are clear: reduce sources of anxiety (transparent pricing, reliable payment and QR validation, responsive helpdesk), and invest in a seamless, enjoyable flow to elevate satisfaction and loyalty. By reporting effect magnitudes and significance, this study offers transparent account of drivers continued use for sports ticketing in an emerging market context and points to actionable levers for platform design and fan experience.
Co-Authors Abrila Fatzali Achmad Rafi Argya Rasya Afina Lina Nurlaili Alif Elmusa Widinandra Anisa Rahma Salsabila Anita Wulansari Ardhi Billy Wijaya Asif Faroqi Auditi Kurnia Wijayanti Ayunda Wardhatul Fitrah Byanca Rebecca Yocelyn Sitompul Erwan Adi Saputro Ibrahim Ibrahim Irvan Bagus Satriya Mandyartha, Eka Prakarsa Muhamad Fauzan Siswantoro Muhsin Pradita Ramadhani Putri Rafika Rahmawati Yogaswara, Rachmad Ramadhan