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All Journal Jurnal Minfo Polgan (JMP) Electronic Journal of Education, Social Economics and Technology Journal of Business and Information System
Ar Ridlo, Muhammad Dzikri
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Religion Arts Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Nursing Public Health Social Sciences Veterinary Other

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Evaluasi dan Perbaikan UI/UX Menggunakan UEQ dan Lean UX pada Aplikasi Livin’ by Mandiri Putra, Adam Pratama Yudya; Maesaroh, Syti Sarah; Ar Ridlo, Muhammad Dzikri
Jurnal Minfo Polgan Vol. 14 No. 1 (2025): Artikel Penelitian
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/jmp.v14i1.14945

Abstract

Penelitian ini bertujuan untuk mengevaluasi dan memperbaiki antarmuka pengguna (UI) dan pengalaman pengguna (UX) pada aplikasi Livin’ by Mandiri menggunakan metode User Experience Questionnaire (UEQ) dan pendekatan Lean UX. Latar belakang penelitian didasarkan pada rendahnya rating aplikasi Livin’ by Mandiri dibandingkan kompetitor, serta keluhan pengguna terkait navigasi yang membingungkan, tampilan yang terlalu padat, dan ketidakefisienan fitur utama seperti top-up e-wallet dan pembelian tiket KAI. Metode penelitian melibatkan survei UEQ terhadap 40 responden dan wawancara mendalam dengan 5 pengguna aktif untuk mengidentifikasi masalah utama. Hasil evaluasi awal menunjukkan skor UEQ di bawah rata-rata, khususnya pada aspek kejelasan (perspicuity) dan ketepatan (dependability). Selanjutnya, pendekatan Lean UX diterapkan melalui empat tahap: deklarasi asumsi, pembuatan MVP, eksperimen, serta analisis umpan balik. Prototipe hasil perbaikan diuji menggunakan usability testing dan UEQ, menunjukkan peningkatan signifikan pada semua aspek, dengan skor akhir mencapai kategori "good" hingga "excellent". Penelitian ini menyimpulkan bahwa perbaikan UI/UX berbasis Lean UX dan UEQ efektif meningkatkan pengalaman pengguna. Implikasi penelitian ini dapat menjadi referensi bagi Bank Mandiri dalam mengoptimalkan aplikasi Livin’ by Mandiri, serta menjadi acuan bagi pengembang aplikasi perbankan digital lainnya.
Pengaruh Influencer Marketing Terhadap Purchase Intention Sepatu Adidas Samba di Indonesia Abdullah, Muhammad Mufti; Purwaamijaya, Btari Mariska; Ar Ridlo, Muhammad Dzikri
Jurnal Minfo Polgan Vol. 14 No. 2 (2025): Artikel Penelitian
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/jmp.v14i2.15144

Abstract

Perkembangan industri fashion di Indonesia, khususnya pada produk sepatu, menunjukkan tren peningkatan signifikan seiring dengan meningkatnya minat konsumen terhadap gaya hidup dan tren global. Salah satu produk yang menonjol adalah sepatu Adidas Samba, yang mengalami lonjakan popularitas berkat tren retro dan streetwear di kalangan anak muda. Dalam konteks ini, strategi influencer marketing menjadi salah satu pendekatan yang banyak digunakan untuk memengaruhi keputusan pembelian konsumen. Penelitian ini bertujuan untuk menganalisis pengaruh influencer marketing terhadap purchase intention konsumen terhadap sepatu Adidas Samba di DKI Jakarta. Penelitian ini menggunakan pendekatan kuantitatif dengan metode survei dan menyebarkan kuesioner kepada 97 responden menggunakan teknik purposive sampling. Data dianalisis menggunakan uji regresi linear sederhana dan pengujian statistik dengan bantuan SPSS versi 31. Hasil penelitian menunjukkan bahwa influencer marketing berpengaruh positif dan signifikan terhadap purchase intention, dibuktikan dengan nilai t-hitung sebesar 11.642 > t-tabel 1.985 dan nilai signifikansi 0.000 < 0.05. Nilai R² sebesar 0.588 mengindikasikan bahwa 58,8% variabel purchase intention dapat dijelaskan oleh influencer marketing, sementara sisanya dipengaruhi oleh faktor lain. Penelitian ini menyimpulkan bahwa strategi pemasaran melalui influencer terbukti efektif dalam membangun niat beli konsumen. Implikasi dari penelitian ini adalah bahwa perusahaan disarankan untuk mengoptimalkan kolaborasi dengan influencer dalam merancang kampanye pemasaran digital. Penelitian selanjutnya disarankan untuk mengeksplorasi faktor eksternal lain yang berkemungkinan memengaruhi purchase intention. Kata Kunci: Influencer marketing , Purchase Intention, Adidas Samba
An Experimental Study of Human and Artificial Intelligence Collaboration in TikTok Advertising: Effects on Audience Perception and Engagement Kasyfan, Nadhif Muhammad; Purwaamijaya, Btari Mariska; Ar Ridlo, Muhammad Dzikri
Electronic Journal of Education, Social Economics and Technology Vol 6, No 2 (2025)
Publisher : SAINTIS Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33122/ejeset.v6i2.1165

Abstract

The use of generative artificial intelligence, or GenAI in short form video advertising, continues to grow due to its efficiency and scalability. However, questions remain regarding audience acceptance, perceived authenticity, and the effectiveness of AI-generated advertising on social media platforms such as TikTok. This study examines how different creative configurations, namely Human Only, AI Only, and Human-AI Collaboration, influence audience perception and engagement in TikTok advertising. This study employed an experimental mixed methods approach. Quantitatively, two sequential A B split tests were conducted using TikTok Ads Manager to compare Human Only versus AI Only advertising and Human Only versus Human-AI Collaboration advertising. Audience engagement was measured using Completion Rate as the primary indicator and six-second view rate as a secondary indicator. Qualitatively, in-depth interviews with active TikTok users were conducted to examine audience processing mechanisms based on the Elaboration Likelihood Model. The results show that Human Only advertising achieved higher completion rates and early engagement than AI Only advertising. Furthermore, Human-AI Collaboration generated the highest engagement compared to Human-Only advertising. Qualitative findings indicate that human involvement strengthens perceived authenticity and trust, while AI supports visual structure that sustains attention and message elaboration. In conclusion, Human-AI Collaboration represents the most effective and socially acceptable approach to short-form video advertising, with implications for digital advertising strategy, ethical AI use, and the sustainable integration of generative technologies in social media communication.
AI-Driven customer engagement in Tokopedia: Satisfaction mediation on chatbot and recommendation system based on UTAUT Christina, Kezia Dantya; Maesaroh, Syti Sarah; Ar Ridlo, Muhammad Dzikri
Journal of Business and Information Systems (e-ISSN: 2685-2543) Vol. 7 No. 2 (2025): Journal of Business and Information Systems
Publisher : Department of Accounting, Faculty of Business, Universitas PGRI Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31316/jbis.v7i2.326

Abstract

Artificial intelligence (AI) technologies, including chatbots and recommendation engines, are reshaping customer interaction in digital marketplaces, yet their ability to directly enhance engagement remains uncertain. This research examines the impact of Tokopedia’s AI-driven features, including the TANYA chatbot and automated product recommendations, on customer engagement, with satisfaction serving as an intermediary construct. Employing a quantitative explanatory design, data from 204 Tokopedia users in Jabodetabek were analyzed using Partial Least Squares–Structural Equation Modeling (PLS-SEM) with SmartPLS 4.0. The results reveal that chatbot interaction and recommendation systems do not directly strengthen engagement, but both significantly improve satisfaction, which in turn enhances engagement. Satisfaction also mediates the effects of the chatbot and recommendation system on engagement. The findings confirm that AI influences engagement indirectly through user satisfaction, extending the UTAUT model by emphasizing satisfaction as a crucial psychological link in AI-driven e-commerce behavior
Co-Authors Abdullah, Muhammad Mufti Christina, Kezia Dantya Kasyfan, Nadhif Muhammad Maesaroh, Syti Sarah Purwaamijaya, Btari Mariska Putra, Adam Pratama Yudya