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All Journal Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer JURNAL TEKNOLOGI DAN OPEN SOURCE Jurnal Ilmu Komputer dan Desain Komunikasi Visual bit-Tech JATI (Jurnal Mahasiswa Teknik Informatika) Jurnal Profesi Insinyur Universitas Lampung Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) ILTEK : Jurnal Teknologi Jurnal Sistem Informasi Galuh Multifinance Computing Insight: Journal of Computer Science Jurnal Riset Teknik Komputer Jurnal Riset Sistem Informasi Saturnus: Jurnal Teknologi dan Sistem Informasi
Virdha Rahma Aulia
Universitas Pembangunan Nasional Veteran Jawa Timur
Arts Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mechanical Engineering Other

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EXPLORATION OF TRUST PARADOX IN CONSUMER BEHAVIOR IN THE USE OF THE TOKOPEDIA APPLICATION Suliha, Suliha; Brahmana, Rico; Rachmadi, Firman; Putri, Amelia Delfina; Aulia, Virdha Rahma
Multifinance Vol. 3 No. 1 (2025): Multifinance
Publisher : PT. Altin Riset Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61397/mfc.v3i1.393

Abstract

This study explores the Trust Paradox phenomenon among Tokopedia users, a condition where consumers still intend to buy even though their level of trust in the platform is low. Using a quantitative approach and PLS-SEM analysis of 154 respondents, it was found that Perceived Value, User Experience, and Trust Paradox have a significant effect on Purchase Intention. In contrast, Trust and Perceived Risk do not show a significant direct effect. Exploratory analysis identifies user segments with high purchase intentions despite having low trust, strengthening the existence of the Trust Paradox in digital consumer behavior.
RANCANGAN BASIS DATA ABSENSI PEGAWAI MENGGUNAKAN MYSQL DENGAN CONCEPTUAL DATA MODEL (CDM), PHYSICAL DATA MODEL (PDM), DAN ENTITY RELATIONSHIP DIAGRAM (ERD) Mukhlis, Iqbal Ramadhani; Satibi, Iswanda Fauzan; Sembilu, Nambi; Rahmawati, Rafika; Rahma Aulia, Virdha; Rinjeni, Tri Puspa; Sugata, Tri Luhur Indayanti; Ananto, Prasasti Karunia Farista
Computing Insight : Journal of Computer Science Vol 6 No 2 (2024)
Publisher : Universitas Muhammadiyah Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30651/comp_insight.v6i2.24337

Abstract

Kemajuan teknologi tidak hanya memberikan kemudahan untuk sarana informasi maupun komunikasi. Akan tetapi, kemajuan teknologi juga memberikan manfaat untuk menyimpan data dalam satu tempat agar mudah diolah. Seperti halnya pada sistem MySQL yang memberikan kemudahan pengguna untuk menyimpan banyak database. Dalam sistem absensi pegawai pada umumnya memerlukan rangkaian tabel yang meliputi aktivitas pegawai, seperti absensi keseharian, penggajian, cuti, lembur, peminjaman, dan lainnya. Pengolahan absensi pada perusahaan tentu harus di kontrol dengan baik agar tidak mempengaruhi kualitas pegawai maupun industri yang terlibat, sehingga kesejahteraan pegawai akan terjamin karena sistem pengelolaan industri baik. Untuk meminimalisir kesalahan atau kejadian tak terduga ketika mengolah data absensi pegawai yang biasanya berjumlah banyak, perlu dihubungkan sistem absensi pegawai dengan menggunakan MySQL dan model konseptual data seperti CDM, PDM, dan ERD. Dengan ini, diharapkan bisa mengetahui tabel/relasi yang dibutuhkan dalam sistem informasi absensi pegawai. Hasil studi kasus membuktikan bahwa dengan adanya model konseptual dari CDM, PDM, dan ERD memberikan kemudahan untuk pengontrolan tabel dalam database dengan tujuan menghindari duplikasi ataupun data yang tidak utuh. Berdasarkan analisis dan perancangan basis data absensi pegawai menggunakan model Conceptual Data Model (CDM), Physical Data Model (PDM), dan Entity Relationship Diagram (ERD), disertai dengan Normalisasi Data dapat disimpulkan bahwa ketiga konsep model tersebut dapat membantu penyusunan tabel relasi atau database yang baik untuk diarahkan ke dalam MySQL, sehingga ketika pegawai melakukan absensi maka akan otomatis masuk ke dalam database.
Penerapan Metode Weighted Product dalam Sistem Pendukung Keputusan Program Penerimaan Bantuan Beras Iqbal Ramadhani Mukhlis; Thomas Aquino Berno Doduk; Tri Puspa Rinjeni; Virdha Rahma Aulia; Rafika Rahmawati; Tri Luhur Indayanti Sugata; Prasasti Karunia Farista Ananto; Nambi Sembilu
Jurnal Ilmu Komputer dan Desain Komunikasi Visual Vol 9 No 2 (2024): Jurnal Ilmu Komputer dan Desain Komunikasi Visual
Publisher : Fakultas Ilmu Komputer Universitas Nahdlatul Ulama Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55732/jikdiskomvis.v9i2.1120

Abstract

This study aims to develop an effective Decision Support System (DSS) in the process of the rice aid program. The Weighted Product (WP) method is used as the basis for decision-making to determine the receipt of rice aid. This DSS is designed to assist program organizers in selecting rice aid recipients more efficiently and objectively. The Weighted Product method is used to calculate the weight value of each criterion given by the rice aid recipient. This study's results can positively contribute to increasing efficiency and transparency in decision-making for the rice aid program. With this Weighted Product-based DSS, it is hoped that the selection process for rice aid recipients can be carried out more objectively and measurably so that the program's benefits can be more evenly distributed and targeted.
Research Article / Artikel Penel Mengungkap Kecenderungan Belanja Impulsif di TikTok Shop: Sinergi antara Frekuensi Menonton dan Emosi Antisipatif dalam Konteks Promo Terbatas Nabila, Haura; Augie Bryan Athalla; Erwin Gilang Samudra; Muhammad Syah Rizal; Virdha Rahma Aulia
Jurnal Profesi Insinyur Universitas Lampung Vol. 6 No. 1 (2025)
Publisher : Fakultas Teknik Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jpi.v6n1.170

Abstract

Penelitian ini mereplikasi dari paper referensi utama “Impulse buying tendency inlive-stream commerce” dengan mengalihkan fokus dari live-stream commerce secaraumum ke platform TikTok Shop Live di Indonesia, karena platform ini mengalamipertumbuhan signifikan dan menjadi favorit generasi muda. Berdasarkan data We AreSocial (2024), lebih dari 70% pengguna TikTok di Indonesia berusia 16–24 tahun, dan 1dari 3 pengguna TikTok mengaku pernah berbelanja langsung dari fitur live streaming.Populasi penelitian disesuaikan ke pengguna Indonesia berusia 17–25 tahun untukmeningkatkan relevansi konteks. Selain itu, instrumen survei diterjemahkan dan diadaptasimenggunakan bahasa yang lebih akrab secara lokal agar mudah dipahami. Fokus tetappada variabel utama—frekuensi menonton, kecenderungan pembelian impulsif, emosiyang diantisipasi, dan keputusan pembelian—namun diterapkan dalam skenario promokelangkaan khas TikTok Shop. Dengan perubahan ini, penelitian menjadi lebih kontekstualdan memberika
Evaluation of HRMS Success Using DeLone & McLean Setia, Heldha ayu; Faroqi, Asif; Aulia, Virdha Rahma
JURNAL TEKNOLOGI DAN OPEN SOURCE Vol. 8 No. 2 (2025): Jurnal Teknologi dan Open Source, December 2025
Publisher : Universitas Islam Kuantan Singingi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36378/jtos.v8i2.4698

Abstract

Digital transformation has become a strategic step to improve operational efficiency, particularly in human resource management. PT XYZ, which has implemented HRMS, faces challenges such as system errors that disrupt the company's mission to enhance employee welfare. This study aims to evaluate the success of HRMS implementation at PT XYZ using the DeLone and McLean (2003) model, which includes six dimensions: system quality, information quality, service quality, usage, user satisfaction, and net benefits. A quantitative approach with PLS-SEM is used, and data is obtained through a survey. The sample consists of 211 respondents selected through simple random sampling. The analysis results show that system quality, information quality, and service quality significantly affect usage and user satisfaction, which contribute to the net benefits experienced by the organization. However, system quality does not significantly affect user satisfaction, and net benefits do not significantly affect usage. These findings provide insights for PT XYZ to improve the quality of HRMS and optimize system usage.
Analysis of Acceptance Factors of Pospay Application Users in Surabaya City Using Modified TAM Berliana, Ni Made; Wulansari, Anita; Aulia, Virdha Rahma
JURNAL TEKNOLOGI DAN OPEN SOURCE Vol. 8 No. 2 (2025): Jurnal Teknologi dan Open Source, December 2025
Publisher : Universitas Islam Kuantan Singingi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36378/jtos.v8i2.4705

Abstract

This study aims to analyze the factors that influence user acceptance of the Pospay application in Surabaya by using a modified Technology Acceptance Model (TAM). Pospay is a digital platform owned by PT Pos Indonesia that offers financial transaction services. Although the app has been downloaded over 5 million times, it still faces acceptance issues, as reflected by the high number of negative reviews due to system errors, verification failures, and unstable performance. To address these challenges, the TAM model was extended by incorporating variables such as Facilitating Conditions, Lifestyle Compatibility, Quality of Internet Connection, Perceived Security, Perceived Trust, Perceived Risk, Self-Efficacy, and Satisfaction. Data were collected from 523 active users and analyzed using Structural Equation Modeling–Partial Least Squares (SEM–PLS). The results showed that Facilitating Conditions, Perceived Ease of Use, and Perceived Usefulness significantly influence Attitude. Furthermore, Perceived Ease of Use, Perceived Usefulness, Perceived Security, Self-Efficacy, and Satisfaction have a significant effect on Intention to Use. Meanwhile, variables such as Attitude, Lifestyle Compatibility, Quality of Internet Connection, Perceived Trust, and Perceived Risk did not significantly affect Intention to Use. These findings highlight the importance of improving usability, usefulness, security, satisfaction, and user confidence to enhance the acceptance and usage of the Pospay application more effectively.
Pengaruh Gamifikasi dan Reputasi terhadap Penggunaan Platform E-Commerce Indonesia Shanata Bakti, Maura; Diaz Ferdiansyah, Alfarel; Rizki Abyan, Naufal; Rahma Aulia, Virdha
Jurnal Sistem Informasi Galuh Vol 4 No 1 (2026): Journal of Galuh Information Systems
Publisher : Fakultas Teknik Jurusan Sistem Informasi Universitas Galuh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25157/jsig.v4i1.5041

Abstract

The rapid development of e-commerce in Indonesia has driven platforms such as Shopee to adopt innovative strategies to enhance user engagement and loyalty. This study investigates the influence of gamification and reputation on platform usage and repurchase intention in the Indonesian e-commerce context. The topic was chosen due to the growing competition in digital markets and the necessity for platforms to retain their users. A quantitative approach was used, with data collected via an online questionnaire distributed to 98 active Shopee users through convenience sampling. Data analysis was conducted using Structural Equation Modeling with a Partial Least Square (SEM-PLS) approach. The results indicate that gamification has a significant positive effect on user intention and platform usage, while reputation influences trust in vendors and repurchase intention. Moreover, platform usage acts as a mediating variable between gamification, reputation, and repurchase intention. These findings highlight the critical role of interactive features and perceived credibility in fostering user loyalty. In conclusion, gamification and platform reputation are key determinants in sustaining customer retention within Indonesia’s competitive e-commerce landscape.
EVALUASI KESUKSESAN APLIKASI RUANGGURU DALAM MENDUKUNG PERSIAPAN SELEKSI NASIONAL PTN MENGGUNAKAN DELONE & MCLEAN Angelina Naibaho, Anna Vita; Pratama, Arista; Aulia, Virdha Rahma
ILTEK : Jurnal Teknologi Vol. 20 No. 02 (2025): ILTEK : Jurnal Teknologi
Publisher : Fakultas Teknik Universitas Islam Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47398/iltek.v20i02.308

Abstract

Aplikasi Ruangguru merupakan salah satu platform bimbingan belajar terbaik di Indonesia yang juga berfokus pada persiapan masuk PTN melalui layanan Rasionalisasi SNBP dan SNBT Center. Sebagai bimbingan belajar terbaik, aplikasi ini masih menghadapi kendala, seperti error pada fitur, keterlambatan pembaruan materi, serta layanan yang kurang responsif. Penelitian ini bertujuan mengevaluasi kesuksesan aplikasi Ruangguru menggunakan model DeLone & McLean dengan metode PLS-SEM. Penelitian melibatkan 392 responden yang tersebar di seluruh Indonesia, ditentukan berdasarkan perhitungan rumus Cochran dengan teknik purposive sampling. Hasil dari penelitian ini yaitu Kualitas Informasi secara signifikan memberikan dampak positif terhadap Penggunaan dan Kepuasan Pengguna, Kualitas Sistem secara signifikan memberikan dampak positif terhadap Kepuasan, sedangkan Kualitas Layanan memberikan pengaruh signifikan terhadap Penggunaan. Secara keseluruhan, Penggunaan maupun Kepuasan Pengguna menjadi faktor utama yang menentukan keberhasilan aplikasi.
Evaluate the Intentions and Behaviors of Live Streaming Feature Users with the UTAUT Model Athallah Rafif Cahyono; Arista Pratama; Virdha Rahma Aulia
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.v8i1.2632

Abstract

The rapid advancement of digital innovation in Indonesia's e-commerce industry has encouraged the widespread adoption of live streaming features such as Shopee Live, which enable real-time interaction between sellers and buyers. Despite the growing popularity of this feature, limited research has investigated the behavioral factors that drive its sustained use, particularly by integrating the Unified Theory of Acceptance and Use of Technology (UTAUT) with the construct of trust. This study aims to evaluate users’ behavioral intentions and actual usage of Shopee Live by applying the UTAUT model, extended with the trust variable to better capture the dynamics of live streaming-based commerce. A quantitative approach was employed through an online survey distributed to Shopee users with prior experience using the live feature. Using purposive sampling, a total of 215 valid responses were collected, with a response rate of 86%. The data were analyzed using Structural Equation Modeling–Partial Least Squares (SEM-PLS). The results show that Effort Expectancy, Social Influence, Price Value, Habit, and Trust significantly affect behavioral intention, while Performance Expectancy, Facilitating Conditions, and Hedonic Motivation do not. Furthermore, Habit, Trust, and Behavioral Intention significantly influence actual usage behavior. This study contributes to the e-commerce literature by extending the UTAUT framework with trust in the specific context of live streaming. The findings emphasize the stronger role of trust and social factors over utilitarian and entertainment considerations. E-commerce platforms should focus on strengthening user trust, promoting ease of use, and encouraging habitual usage to increase engagement with live commerce features.
User Satisfaction Analysis of Financial Technology Applications Using the End User Computing Satisfaction Model Ida Ayu Ernawati; Asif Faroqi; Virdha Rahma Aulia
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.v8i1.2690

Abstract

The rapid evolution of digital technology has significantly transformed many sectors, especially financial services, with the rise of fintech innovations such as Flip. Flip offers interbank transfer services free of administrative fees, simplifying transactions like e-wallet top-ups, bill payments, and international money transfers, attracting a substantial user base. However, despite its popularity, users have raised concerns about transaction delays, slow customer service responses, and design issues, highlighting a gap between user expectations and actual service delivery. This study aims to evaluate user satisfaction with the Flip application using the End User Computing Satisfaction (EUCS) model, which assesses satisfaction across five key dimensions: Content, Accuracy, Format, Ease of Use, and Timeliness. Data from 415 respondents were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) to investigate the factors influencing satisfaction. The findings reveal that user satisfaction with Flip is generally positive, with significant impacts from Content, Format, Ease of Use, and Timeliness. However, Accuracy, while positively related, had no statistically significant effect. These results emphasize the need for improving transaction timeliness and refining content and interface formats to enhance the user experience. The study provides essential insights for Flip developers to enhance service quality and offers a data-driven foundation for future research on fintech applications.
Co-Authors Adi Pranata, Alfiansyah Aditya Rachmadi Ahmad Rafasyah Ramadhan Akbar Pangestu Angelina Naibaho, Anna Vita Arista Pratama Asif Faroqi Astri Purwitasari Athallah Rafif Cahyono Augie Bryan Athalla Berliana, Ni Made Brahmana, Rico Diaz Ferdiansyah, Alfarel Erwin Gilang Samudra Fatin Fadhiyah Muhaimin Putri, Alya Febryan, Putra Hikmah Holdani Nurrafi Ida Ayu Ernawati Indonesia, Haikal Lentera Iqbal Ramadhani Mukhlis Khoirotul Fatha, Mafda Lano Putra Rajendra Loka, Nalendra Pradipta Marsyanda Firlyandita Mazaya Agniya Putri, Fatharani Muhammad Syah Rizal Nabila, Haura Najwa Nadia Rahma Prasasti Karunia Farista Ananto Pratama, Arista Purba, Viviana Putri, Amelia Delfina Rachmadi, Firman Rafika Rahmawati Rafika Rahmawati Rafika Rahmawati Rizki Abyan, Naufal Rozan Syaikh Ash S P Satibi, Iswanda Fauzan Sembilu, Nambi Setia, Heldha ayu Shanata Bakti, Maura Suliha, Suliha Thomas Aquino Berno Doduk Tri Luhur Indayanti Sugata Tri Puspa Rinjeni Wulansari, Anita Yusi Tyroni Mursityo