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All Journal Ekopedia: Jurnal Ilmiah Ekonomi Jurnal Ilmiah Ekonomi dan Manajemen Indonesia Research in Education, Technology, and Multiculture
Inkreswari Retno Hardini
Universitas Negeri Jakarta
Economics, Econometrics & Finance

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Pengaruh Social Media Marketing, Perceived Price, dan Brand Image Terhadap Purchase Intention pada Generasi – Z di KOPILOJIK Rafilino Rianda Sastrodiningrat; Ryna Parlyna; Inkreswari Retno Hardini
Ekopedia: Jurnal Ilmiah Ekonomi Vol. 2 No. 3 (2026): JULI-SEPTEMBER
Publisher : Indo Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63822/qya9n157

Abstract

This research aims to analyze the influence of social media marketing, perceived price, and brand image on Generation Z’s purchase intention toward KOPILOJIK. This phenomenon has emerged alongside the growth of digital marketing and social commerce, where platforms such as Instagram, TikTok, and other social media have become the primary channels for KOPILOJIK to build brand exposure, convey promotional information, and shape price perceptions and brand image among young consumers. This research uses a quantitative approach with a survey method. The study population consists of Generation Z in Jakarta who are familiar with KOPILOJIK and have either visited or made a purchase at KOPILOJIK or follow KOPILOJIK’s social media accounts. The sampling technique used is purposive sampling with a minimum of 140 respondents. Data collection was conducted via an online questionnaire using Google Forms, consisting of four research variables measured using a Likert scale. The data obtained were analyzed using Partial Least Squares (PLS)-based Structural Equation Modeling (SEM) with the assistance of SmartPLS 4 software. The results indicate that social media marketing, perceived price, and brand image have a positive and significant effect on Generation Z’s purchase intention toward KOPILOJIK. This research is expected to provide a theoretical contribution to the development of consumer behavior studies in the context of digital marketing for cafes.
Faktor-Faktor yang Mempengaruhi Financial Well-Being Pada Pengguna Aplikasi Investasi Khalisa Azalia; Osly Usman; Inkreswari Retno Hardini
Jurnal Ilmiah Ekonomi dan Manajemen Indonesia Vol. 2 No. 2 (2026): JULI-DESEMBER
Publisher : Indo Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63822/cwryb866

Abstract

Perkembangan financial technology yang memicu tingginya minat investasi digital, namun masih menyisakan masalah berupa kecemasan pengguna saat menghadapi kendala transaksi dan risiko penurunan aset. Penelitian ini bertujuan untuk mengetahui bagaimana pengaruh dari social trust, social networks, financial knowledge, dan financial attitude terhadap financial well-being pada pengguna aplikasi investasi Ajaib. Metode yang digunakan dalam penelitian ini adalah metode kuantitatif dengan teknik purposive sampling, yaitu masyarakat yang tinggal ataupun bekerja di wilayah Jabodetabek, berusia minimal 17 sampai 45 tahun, dan merupakan pengguna aktif yang pernah berinvestasi di aplikasi Ajaib minimal satu kali. Seluruh data primer yang terkumpul kemudian diolah dan dianalisis menggunakan program SPSS melalui beberapa tahap pengujian, seperti uji validitas, uji reliabilitas, uji asumsi klasik, dan analisis regresi linier berganda. Hasil penelitian secara simultan menunjukkan bahwa variabel memiliki pengaruh positif dan signifikan dalam menjelaskan kondisi financial well-being pengguna. Secara parsial, setiap variabel independen juga terbukti berpengaruh positif dan signifikan.                                                                                                                                              
A Bibliometric Mapping of Artificial Intelligence Research in Digital Public Service (2020–2025) Inkreswari Retno Hardini; Susetyo Bagas Bhaskoro; Tivani Shakilla Ervi; Meta Bara Berutu
Research in Education, Technology, and Multiculture Vol 5, No 2 (2026): Research in Education, Technology, and Multiculture
Publisher : Institute of Multidisciplinary Research and Community Service

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61436/rietm/v5i2.pp141-159

Abstract

AI ceases to be a matter of discussion as a technological innovation, but also of how governments redesign the provision of public services, deal with information, and react to the more intricate needs of society. Research in the field of AI and digital public service has been accelerating rapidly over the past few years, particularly amid the accelerated pace of digital transformation during the COVID-19 period and beyond. However, the discourse is still dispersed across different fields and research issues, and thus, it is difficult to follow the development of the field as a system. The aim of this paper is therefore to conduct a review of the development and research frontier of AI in Digital Public Service during the period between 2020 and 2025 through a bibliometric approach. The study used bibliographic data acquired via the Scopus database. Data were collected using a structured search strategy that combines Boolean operators and keywords related to artificial intelligence and digital public service. A total of 662 publications were retrieved and visualized using VOSviewer. After the use of a minimum occurrence of five, 216 keywords were chosen and grouped into six thematic clusters. The results show a definite upward trend in the number of publications after 2022, indicating greater academic interest in AI-based governance and digital transformation in the state sector. Several prevailing themes emerged, including machine learning, digital government, public administration, natural language processing, information management, and AI governance. Overall, the findings suggest that the study of AI in digital public service has moved beyond the argument about fundamental digitalization to address significant questions about governance, public value, and the responsible use of AI. Keywords: Artificial intelligence, Digital public service, Digital government, Bibliometric analysis, Smart governance.
Co-Authors Khalisa Azalia Meta Bara Berutu Osly Usman Rafilino Rianda Sastrodiningrat Ryna Parlyna Susetyo Bagas Bhaskoro Tivani Shakilla Ervi