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Journal : bit-Tech

Evaluasi Faktor Penerimaan Live Streaming di Platform E-commerce TikTokShop Menggunakan TAM 3 Wardhatul Fitrah, Ayunda; Safitri, Eristya Maya; Rahmawati, Rafika
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 Sitompul, Byanca Rebecca Yocelyn; Wulansari, Anita; Safitri, Eristya Maya
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.
Comparison of Social Media Video Acceptance for Health Knowledge in Generation Z Using TAM Syawalina, Shanti Putri; Pratama, Arista; Safitri, Eristya Maya
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.v8i1.2509

Abstract

The development of information and communication technology has changed the way Generation Z accesses knowledge, with social media such as Instagram and TikTok being the main sources of information. However, challenges arise as health content is often mixed with entertainment content, making the validity of the information delivered difficult to ascertain. Therefore, an evaluation of both platforms is needed to assess their effectiveness and the benefits received by users. This study aims to evaluate the acceptability of videos as a source of health knowledge on Instagram and TikTok using the Technology Acceptance Model (TAM). The main focus was to identify factors that influence the acceptance of health video content and compare the effectiveness of the two platforms. Data was collected from 600 respondents through purposive sampling technique and analyzed using PLS-SEM method. The results showed that the majority of respondents preferred TikTok as a source of health information compared to Instagram. Content Richness affects Users Satisfaction. In addition, Flow State and Personal Innovativeness affect Perceived Ease of Use and Perceived Usefulness. These three variables also influence the acceptability of health video content on Instagram and TikTok. These findings suggest the importance of engaging and informative content to improve Generation Z's health knowledge.
Analysis of Factors Influencing the Acceptance of Riliv Application Using UTAUT2 Fatzali, Abrila; Wulansari, Anita; Safitri, Eristya Maya
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.
UTAUT-Based Analysis of Customer Loyalty in Tokopedia Using SOR Framework Berliana, Cindy; Safitri, Eristya Maya; Rinjeni, Tri Puspa
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.v8i1.2640

Abstract

This study investigates customer loyalty in the context of e-commerce by applying an integrated Unified Theory of Acceptance and Use of Technology (UTAUT) model combined with the Stimulus–Organism–Response (SOR) framework. Tokopedia, one of Indonesia’s leading e-commerce platforms, faces increasing difficulty in sustaining customer loyalty due to common service-related issues such as delayed deliveries, system errors during voucher usage, and slow customer service. These challenges negatively impact user experience and trust key elements in fostering long-term loyalty. To address these issues, this research explores the need for an integrated approach by employing the Unified Theory of Acceptance and Use of Technology (UTAUT) and the Stimulus–Organism–Response (SOR) framework. The UTAUT model provides insights into the factors driving user adoption, while the SOR framework helps in understanding the psychological responses that lead to sustained loyalty. This research explores how five UTAUT constructs Performance Expectancy, Effort Expectancy, Social Influence, Facilitating Conditions, and Price Value serve as external stimuli (Stimulus) that influence users’ trust in the Tokopedia application (Organism), which then drives customer loyalty (Response). A quantitative survey of 384 Tokopedia users was analyzed using PLS-SEM. The findings reveal that all UTAUT variables significantly affect trust, and trust serves as a strong predictor of customer loyalty. This study contributes theoretically by bridging UTAUT and SOR models to explain loyalty behavior in e-commerce settings, and offers practical insights for Tokopedia to improve user retention. Notably, future studies may consider longitudinal approaches and explore additional psychological factors beyond trust to deepen understanding of loyalty formation.
Evaluation of the SSW Alfa Website using Webqual 4.0 Modification and Importance Performance Analysis Wijayanti, Auditi Kurnia; Faroqi, Asif; Safitri, Eristya Maya
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.