Article Per Year (5 Year)
p-Index From 2021 - 2026
0.702
P-Index
This Author published in this journals
All Journal Journal of Innovative and Creativity
Pika Meri Yanti
Institut Teknologi Muhammadiyah Sumatera
Education Languange, Linguistic, Communication & Media Mathematics Social Sciences Other

Published : 4 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 4 Documents
Search

 1 
The Talent Equation: Managing Millennials and Generation Z in the Modern Workplace Rafikha Anggraini; Rozie Meidy; Kris Suspon Rama; Solina Balqis; Pika Meri Yanti
Journal of Innovative and Creativity Vol. 5 No. 2 (2025)
Publisher : Fakultas Ilmu Pendidikan Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/joecy.v5i2.893

Abstract

This Study aims to explore human resource management (HRM) approaches in responding to the challenges and opportunities arising from the presence of Millennials and Generation Z employees in today’s workplace. Using a descriptive qualitive method, data were collected through in-depth interviews involving employees from both generation as well as HR practitioners across various industrial sectors. The findings reveal that Millennials and Gen Z possess distinctive characteristics that influence their preferences regarding work systems, leadership styles, and career development paths. Consequently, companies are required to adopt flexible, technology-based managerial strategies that can be tailored to individual needs. Approaches such as flexible working arragements, digital training, and transparent communication have proven effetive in enhancing employee engagement and loyalty. This study highlights the importance of creating a balance between organizational goals and the values of the younger generations to foster an innovative and sustainable work environment.
The Role of Digital Startups in Supporting Technology-Based Economic Transformation in Indonesia: A Focus on the Digital Creative Ecosystem Pika Meri Yanti; Muhammad Rasyid Ridho; Prantiastio Prantiastio; Solina Balqis; Rafikha Anggraini; Apep Indra Saputra
Journal of Innovative and Creativity Vol. 5 No. 2 (2025)
Publisher : Fakultas Ilmu Pendidikan Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/joecy.v5i2.996

Abstract

The rapid development of the digital economy has redefined economic structures and value creation models across sectors in Indonesia. This study explores the pivotal role of digital startups in supporting technology-based economic transformation, with a specific focus on the digital creative ecosystem. Employing a descriptive qualitative methodology through library research, this paper identifies how startups empower content creators, promote digital literacy, and build resilient innovation ecosystems. The findings highlight the significance of transformational leadership, dynamic capabilities, and absorptive capacity in enhancing startup sustainability. Furthermore, digital startups function not only as platforms for economic participation but also as catalysts for inclusive growth, particularly among youth and micro, small, and medium enterprises (MSMEs). Despite these opportunities, structural challenges persist, including limited funding, low digital skills, and regulatory constraints. This study proposes actionable recommendations to strengthen startup-driven innovation, improve digital education, and design inclusive policy frameworks that support a sustainable digital creative economy in Indonesia.
The The Influence of Digital Accounting Systems, Digital Financial Literacy, and Technology Capabilities on the Efficiency of Financial Statements of E-Commerce MSMEs Pika Meri Yanti; Lisa Aulia Julica; Siti Fatimatul Khasanah; Purwanto Dimyati
Journal of Innovative and Creativity Vol. 5 No. 3 (2025)
Publisher : Fakultas Ilmu Pendidikan Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/joecy.v5i3.6170

Abstract

The development of e-commerce requires Micro, Small, and Medium Enterprises (MSMEs) to adapt to digital transformation, especially in the financial management and reporting process. However, some MSMEs still have difficulties in producing efficient financial reports due to limited recording systems, low digital financial literacy, and inadequate technological capabilities. This study aims to examine the influence of Digital Accounting System, Digital Financial Literacy, and Technology Capabilities on Financial Statement Efficiency in e-commerce-based MSMEs. This study uses a quantitative approach with an associative method. Data was collected through a questionnaire distributed to e-commerce MSME actors who have implemented digital financial recording, with purposive sampling techniques. Data analysis was carried out using multiple linear regression after going through validity, reliability, and classical assumptions tests. The results of the study show that the Digital Accounting System, Digital Financial Literacy, and Technology Capabilities have a positive and significant effect on the Efficiency of Financial Statements, both partially and simultaneously. These findings are expected to be an academic and practical contribution in supporting the improvement of the efficiency of digital-based MSME financial management.
The The Role of Artificial Intelligence and Machine Learning in Improving the Accuracy of Cost Prediction and Budgeting : A Review of the Literature Lisa Aulia Julica; Pika Meri Yanti; Muhamad Habibullah AR; Muhammad Rasyid Ridho; Perdian Okta Jaya
Journal of Innovative and Creativity Vol. 5 No. 3 (2025)
Publisher : Fakultas Ilmu Pendidikan Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/joecy.v5i3.6282

Abstract

The complexity of the contemporary business environment demands a more precise approach to cost prediction and budgeting to maintain an organizational competitive advantage. This study examines the role of Artificial Intelligence (AI) and Machine Learning (ML) in improving the accuracy of cost prediction and budgeting through a Systematic Literature Review of ten high-quality journal articles published for the period 2020-2025. The PRISMA methodology was applied with the stages of identification of 309 articles, elimination of 102 duplicates, screening of 207 articles, evaluation of 112 full-texts, and final selection of 10 articles that met the eligibility criteria. The results of the literature synthesis revealed that deep learning models such as LSTM and ensemble methods such as XGBoost achieved superior accuracy with a MAPE of 2.88-9% and an R² score of 0.90-0.95, significantly outperforming conventional methods. The effectiveness of AI techniques is context-specific with optimal deep learning for high complexity, classical machine learning for organizations with infrastructure limitations, and regression models for transparency priorities. Implementation challenges include data quality, the black box nature of algorithms, and substantial investment requirements. Optimization strategies include a hybrid workflow approach, gradual implementation, and data governance strengthening. The integration of AI with big data analytics enables dynamic budgeting that is adaptive to market volatility, providing strategic implications for financial management practitioners in optimizing resource allocation and data-driven decision-making.
Co-Authors Apep Indra Saputra Kris Suspon Rama Lisa Aulia Julica Muhamad Habibullah AR Muhammad Rasyid Ridho Perdian Okta Jaya Prantiastio Prantiastio Purwanto Dimyati Rafikha Anggraini Rozie Meidy Siti Fatimatul Khasanah Solina Balqis