Article Per Year (5 Year)
p-Index From 2021 - 2026
2.223
P-Index
This Author published in this journals
All Journal Interdisciplinary Social Studies Journal of General Education and Humanities Jurnal MENTARI: Manajemen, Pendidikan dan Teknologi Informasi Journal Research of Social Science, Economics, and Management Jurnal Ekonomi, Teknologi dan Bisnis Al Makki Health Informatics Journal Insight : International Journal of social research Journal of Political Innovation and Analysis Journal of Sharia Micro Enterprise and Cooperation Islamic Counseling and Parenting Journal Digital Agriculture and Innovation Journal
Fitriyanti, Elvira
Unknown Affiliation
Agriculture, Biological Sciences & Forestry Humanities Astronomy Computer Science & IT Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Mechanical Engineering Nursing Physics Public Health Social Sciences Veterinary Other

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

Found 13 Documents
Search

 1   2 
The Role of Social Media Algorithms in Shaping Consumer Culture in the Digital Economy Fitriyanti, Elvira; Zuhriyah, Nabilaa Faizatuz
Jurnal Ekonomi Teknologi dan Bisnis (JETBIS) Vol. 4 No. 12 (2025): Jurnal Ekonomi, Teknologi dan Bisnis
Publisher : Al-Makki Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57185/8gryv298

Abstract

The development of digital technology has made social media algorithms a dominant factor in shaping people's consumption behavior. This research aims to analyze the role of social media algorithms in creating consumer culture in Indonesia's digital economy era. Using a qualitative approach and an exploratory case study design, the study involved 18 participants consisting of active consumers, digital business actors, and digital culture experts. Data were collected through in-depth interviews, digital observation, and documentation, then analyzed using the Miles & Huberman interactive model through data reduction, data presentation, and conclusion drawing. The results show that social media algorithms influence consumer culture through three main mechanisms: personalized recommendation, viral loop effect, and cultural embedding. The majority of respondents admitted to trusting algorithmic recommendations more than manual searches, even encouraging more impulsive consumption behavior. Interviews with business actors revealed that algorithms accelerate trend cycles, create digital product hierarchies, and build consumer dependency. This research confirms that algorithms are not merely technical instruments but also cultural actors that shape consumption patterns and social identities. These findings have implications for digital business strategies, consumer literacy, and the formulation of consumer protection policies in the digital economy era.
Bio-Inspired Computing Based Multi Objective Optimization For Sustainable Manufacturing In The Industry 4.0 Era Fitriyanti, Elvira; Magfiroh, Diana
International Journal of Social Research Vol. 4 No. 1 (2026): Insight : International Journal of Social Research
Publisher : Worldwide Research Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59888/insight.v4i1.97

Abstract

This study aims to evaluate the contribution of bio-inspired computing towards the sustainability of manufacturing systems in the context of Industry 4.0. Using quantitative and design approaches, data were collected from 100 professional respondents in the manufacturing sector through questionnaires and structured interviews. Statistical analysis was performed using Pearson correlation, linear regression, t-test, and ANOVA with the help of SPSS software. The results showed a very strong and significant relationship between the use of bio-inspired algorithms, such as Particle Swarm Optimization (PSO), with energy efficiency (r = 0.872), production level (r = 0.723), and environmental sustainability (r = 0.790). Linear regression showed that the use of the technology explained 76.1% of the variability in energy efficiency (R² = 0.761; p < 0.001). The ANOVA results also showed significant differences between groups of technology users in terms of efficiency achievements. These findings indicate that bio-inspired computing can be an important strategy in digital transformation and more sustainable decision-making. This study contributes to developing multi-objective optimization theory and provides practical implications for industrial management in implementing adaptive and environmentally friendly technologies.
The Effect of Using a Health Chatbot for Diabetes Consultation on Patient Satisfaction and Lifestyle Management Fitriyanti, Elvira
Al Makki Health Informatics Journal Vol. 4 No. 1 (2026): Al Makki Health Informatics Journal
Publisher : Al Makki Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57185/9w2fna33

Abstract

This study aims to analyze the effect of health chatbot usage on patient satisfaction and lifestyle management in type 2 diabetes patients. The background of the study is based on the increasing prevalence of diabetes in Indonesia and the limited medical personnel, which cause patients to not always receive continuous support. Health chatbots are seen as an innovative solution based on artificial intelligence (AI) that can provide information, education, and reminders interactively. The research method used a quantitative approach with an explanatory survey design involving 220 respondents with type 2 diabetes in urban areas of Indonesia. Data were collected through a Likert-scale-based questionnaire, semi-structured interviews, and observations of patient interactions in digital health communities. Analysis was performed using Partial Least Squares Structural Equation Modeling (PLS-SEM) to test the relationship between variables. The results showed that chatbot usage had a significant positive effect on patient satisfaction (β=0.338, p<0.001) and lifestyle management (β=0.206, p<0.01). Patient satisfaction also significantly influenced lifestyle management (β=0.285, p<0.001) and partially mediated the effect of chatbots on lifestyle (β=0.097, 95% CI [0.043–0.165]). These findings confirm that health chatbots have the potential to become an integral part of digital healthcare services, although their impact on patient physical activity is still limited.
Co-Authors Akromi, Elok Nur Affah Al Aroha, Lila Fadillah, Ega Nur Fajar Nurjaman Falah, Zidnal Firizki, Rayhan Syawal Goh, Thomas Sumarsan Luthfiah Luthfiah magfiroh, diana Mahfudi, Khasan Merlinda Intan Fauziah Muslimah Muslimah Nur Alifah Permana, Hara Salsabila, Irma Nuraeni Saona, Saona Sulistianingsih Sulistianingsih Suryalaksana, Alif Zuhriyah, Nabilaa Faizatuz