Article Per Year (5 Year)
p-Index From 2021 - 2026
2.003
P-Index
This Author published in this journals
All Journal International Journal of Electrical and Computer Engineering Bulletin of Electrical Engineering and Informatics Abimanyu: Journal of Community Engagement Journal of Informatics and Computer Science (JINACS) ICONESTH Jurnal Pengabdian Masyarakat dan aplikasi Teknologi Jurnal Ilmu Ekonomi, Pendidikan dan Teknik (IDENTIK) Journal of Emerging Information Systems and Business Intelligence (JEISBI)
Ghea Sekar Palupi
Universitas Negeri Surabaya
Religion Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Neuroscience Nursing Public Health Social Sciences Other

Published : 13 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 13 Documents
Search

 1   2 
Peningkatan Literasi Etika Artificial Intelligence (AI) bagi Guru SMP Negeri 18 Gresik Rahadian Bisma; Ghea Sekar Palupi; Anggraeni Widya Purwita; Aries Dwi Indriyanti
Jurnal Pengabdian Masyarakat dan aplikasi Teknologi Vol 05 No 02: Oktober 2026 (in progress)
Publisher : Institut Teknologi Adhi Tama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.adipati.2026.v5i2.8642

Abstract

Kegiatan Pengabdian kepada Masyarakat (PkM) bertema “Penggunaan Artificial Intelligence (AI) secara Beretika untuk Pembelajaran” telah dilaksanakan oleh tim dosen Program Studi Sistem Informasi Universitas Negeri Surabaya (UNESA) di SMP Negeri 18 Gresik dengan tujuan meningkatkan literasi digital dan kapasitas guru dalam memanfaatkan teknologi AI secara bijak, kreatif, dan bertanggung jawab. Workshop interaktif selama tiga jam ini mengenalkan berbagai aplikasi AI seperti ChatGPT, Canva AI, Quillionz, dan DALL·E yang dapat digunakan untuk pembuatan soal, desain media pembelajaran, serta asesmen otomatis. Selain aspek teknis, pelatihan menekankan pentingnya etika AI dengan mengacu pada prinsip UNESCO (2021) dan OECD (2023), meliputi tanggung jawab, privasi data, keadilan, transparansi, dan akuntabilitas. Guru dilatih memahami AI Ethics Literacy melalui studi kasus bias algoritmik, penerapan human-in-the-loop, dan integritas akademik. Kegiatan berbasis collaborative workshop ini menghasilkan rancangan RPP sederhana yang mengintegrasikan etika digital, serta meningkatkan kesadaran peran guru sebagai agen pembentuk kepekaan digital siswa. Program ini mencerminkan komitmen UNESA dalam memperkuat literasi AI dan mendorong transformasi digital pendidikan melalui riset dan pengabdian yang berfokus pada etika dan tata kelola teknologi pembelajaran
Analisis Pengaruh Task Characteristics, Technology Characteristics, Task–Technology Fit, Intrinsic Motivation, Dan Extrinsic Motivation Terhadap Usage Behavior Aplikasi Strava Hendrik Susilo; Ghea Sekar Palupi
Jurnal Ilmu Ekonomi, Pendidikan dan Teknik Vol. 3 No. 3 (2026): IDENTIK - Mei
Publisher : CV. SINAR HOWUHOWU

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70134/identik.v3i3.1482

Abstract

The rapid growth of digital fitness applications has increased the use of technology to support physical activities, one of which is through the Strava application. However, sustaining user engagement remains a challenge, as not all users maintain long-term usage intensity. This study aims to analyze the factors influencing the usage behavior of Strava users by integrating the Task–Technology Fit (TTF) model and Self-Determination Theory (SDT). The research was conducted through several stages, including problem identification, literature review, conceptual model and hypothesis development, instrument design, pilot testing, data collection, and data analysis using the Partial Least Squares–Structural Equation Modeling (PLS-SEM) method. Data were collected from 200 active Strava users in Surabaya, Indonesia, selected through purposive sampling. The results indicate that Task Characteristics and Technology Characteristics have a positive and significant effect on Task–Technology Fit. Furthermore, Task–Technology Fit positively and significantly influences both Intrinsic Motivation and Usage Behavior. In addition, Intrinsic Motivation and Extrinsic Motivation are found to have positive and significant effects on Usage Behavior, with Intrinsic Motivation demonstrating a stronger influence. This study concludes that the alignment between technological capabilities and users’ activity needs, along with user motivation, plays an important role in encouraging the continued use of the Strava application.
Analisis Penerimaan Pengguna Aplikasi Green SM Menggunakan Kerangka Pengembangan Technology Acceptance Model (TAM) Dengan Variabel Social Influence Di Kota Surabaya Reisya Nasywa Rahmadina; Ghea Sekar Palupi
Jurnal Ilmu Ekonomi, Pendidikan dan Teknik Vol. 3 No. 3 (2026): IDENTIK - Mei
Publisher : CV. SINAR HOWUHOWU

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70134/identik.v3i3.1540

Abstract

The development of application-based transportation, particularly Green SM, encourages the use of environmentally friendly technology. Although it offers convenience for users and has a high number of downloads and ratings, this does not necessarily reflect sustainable use. Therefore, this study aims to analyze the factors that influence the acceptance and use of the Green SM application using the development of the Technology Acceptance Model (TAM) with the addition of the Social Influence variable. This study uses a quantitative approach with the Partial Least Squares-based Structural Equation Modeling (PLS-SEM) method processed using SmartPLS 4 software involving 191 respondents who use the Green SM application in Surabaya City. The results show that the Perceived Ease of Use variable has a significant effect on Perceived Usefulness, but does not have a significant effect on Behavioral Intention. Meanwhile, the Perceived Usefulness variable has a significant effect on Behavioral Intention. The Social Influence variable has a significant effect on Behavioral Intention. Furthermore, the Behavioral Intention variable has a significant effect on Actual System Use. The results of this study indicate that the main factors influencing the use of the Green SM application are perceived benefits and social influence, while ease of use does not directly affect the intention.
Co-Authors Adinda Nabila Firnanda Akbar Rizqi Alrowayyan Anggraeni Widya Purwita Ardhini Warih Utami Aries Dwi Indriyanti Bonda Sisephaputra Choirotus Sa’adah Fakhruzzaman, Muhammad Noor Hendrik Susilo I Kadek Dwi Nuryana, I Kadek Dwi Jauza Audy Safitri Muhammad 'Athallah Hira Valensi Muhammad Atho'ullah Aziman Rahadian Bisma Reisya Nasywa Rahmadina Thinni Nurul Rochmah