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All Journal Journal of Accounting and Investment Technomedia Journal JURNAL PENDIDIKAN TAMBUSAI Aptisi Transactions on Management Aptisi Transactions on Technopreneurship (ATT) ADI Bisnis Digital Interdisiplin (ABDI Jurnal) IAIC Transactions on Sustainable Digital Innovation (ITSDI) International Journal of Engineering, Science and Information Technology Startupreneur Business Digital (SABDA Journal) International Transactions on Artificial Intelligence (ITALIC) Journal of Computer Science and Technology Application
Julianingsih, Dwi
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Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Social Sciences Transportation Other

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Optimizing Pricing and Digital Marketing to Strengthen Consumer Loyalty in Startupreneur: Optimalisasi Harga dan Digital Marketing untuk Meningkatkan Loyalitas Konsumen Startupreneur Sunarya, Po Abas; Mustopa, Muhamad Ikhsan; Julianingsih, Dwi; Bibils, Natalie; Hua, Chua Toh
ADI Bisnis Digital Interdisiplin Jurnal Vol 6 No 1 (2025): ADI Bisnis Digital Interdisiplin (ABDI Jurnal)
Publisher : ADI Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/abdi.v6i1.1224

Abstract

In the digital economy era, consumer loyalty has become a strategic asset for startupreneurs operating amid dynamic competition and information dense markets. This study examines the integrative role between pricing strategies based on Behavioral Economics principles and digital marketing approaches in shaping and enhancing consumer loyalty. Techniques such as anchoring price, scarcity marketing, bundling, and framing are synergistically combined with digital marketing tactics including social media utilization, content personal ization, and micro influencer engagement to create more resonant and recur ring consumer experiences. Through a qualitative method based on litera ture studies and observations of several digital startups in Indonesia, this study finds that ethical price optimization and adaptive digital campaigns not only drive short-term conversions but also build customer trust and retention in the long term. These findings indicate that strategies rooted in consumer behavior understanding and supported by digital marketing technology can serve as an important catalyst for the sustainable growth of startupreneurs. Recommendations are formulated to encourage the implementation of strategies that are not only market-competitive but also aligned with transparency, sustainability, and modern business ethics. The novelty of this study lies in its integrative approach, combining behavioral-based pricing strategies with digital marketing techniques to build consumer loyalty among startupreneurs. This approach remains under explored in the context of startups in developing countries, particularly Indonesia, and thus offers a fresh perspective for sustainable digital business models.
Cross-Cultural Adoption of Gamified Attendance Systems: Opportunities and Challenges for Multinational Enterprises Rahardja, Untung; Andriyansah, Andriyansah; Natalia, Elisa Ananda; Hardini, Marviola; Julianingsih, Dwi
International Journal of Engineering, Science and Information Technology Vol 5, No 1 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i1.1077

Abstract

The increasing adoption of gamified systems in workplace settings has garnered significant attention, particularly in multinational enterprises (MNEs) seeking innovative approaches to enhance team member engagement and productivity. Background Gamified attendance systems, integrating game elements such as points, leaderboards, and rewards, present a novel strategy for improving attendance and punctuality across diverse cultural contexts. However, implementing such systems in cross-cultural settings poses unique challenges and opportunities. Objective: This study explores the factors influencing the adoption of gamified attendance systems in MNEs, focusing on cross-cultural adaptability and its implications for organisational performance. Research Method A mixed-methods approach was employed, combining qualitative interviews with HR managers and employees from diverse cultural backgrounds with a quantitative survey targeting 350 employees across 10 MNEs. Data were analysed using thematic analysis and structural equation modelling to identify cultural and organisational determinants of success. Results The findings reveal that cultural dimensions, such as power distance and individualism, significantly impact team member perceptions and engagement with gamified systems. While gamification enhanced attendance rates and morale in low-power-distance cultures, it faced resistance in high-power-distance environments. Additionally, alignment with organisational goals and transparent communication were critical for successful implementation. Conclusion: This study underscores the importance of cultural sensitivity and strategic planning in the cross-cultural adoption of gamified attendance systems. By addressing these factors, MNEs can leverage gamification to foster a more engaged and productive workforce, enhancing global operational efficiency. Future research should explore longitudinal impacts and sector-specific adaptations to optimise implementation outcomes.
Analysis of the Effectiveness of Visual Language and Narrative in Conveying Value Propositions in Pitching Decks Rahardja, Untung; Budiarto, Mukti; Lutfiyah, Konita; Wahyudi, Otniel Feliks Putra; Azz, Istajib Kulla Himmy; Azizah, Nur; Julianingsih, Dwi
International Transactions on Artificial Intelligence Vol. 3 No. 2 (2025): May
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/italic.v3i2.807

Abstract

A pitching deck is a strategic communication medium that plays a crucial role in delivering value propositions to prospective investors in a concise yet persuasive manner. The effectiveness of message delivery through a pitching deck is highly determined by the quality of the visual language and narrative employed. This study aims to analyze how visual elements such as color, typography, infographics, and iconography interact synergistically with the narrative structure to convey complex business values more intuitively and emotionally. The methodology used is a literature study with a thematic analysis approach of scientific sources published within the last five years. The findings indicate that consistent visual integration and structured narrative not only enhance audience understanding but also strengthen memory retention and emotional engagement with the presented business ideas. Specifically, this combined approach opens significant opportunities for the development of intelligent models capable of adaptively evaluating and recommending pitching deck designs with personalization. The implications of this study point to the need for communication decision support systems that focus not only on business content but also on how data driven technologies and algorithms can improve the quality of visual narrative elements as persuasive tools in the startup and investment world. 
Leveraging Blockchain Technology to Strengthen Cybersecurity in Financial Transactions: A Comprehensive Analysis Yusuf, David Arian; Wahyudin Anugrah, Rio; Arif Komara, Maulana; Julianingsih, Dwi; Garcia, Emily
CORISINTA Vol 1 No 2 (2024): August
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/corisinta.v1i2.33

Abstract

In the rapidly evolving digital landscape, financial transactions are increasingly vulnerable to cyber threats, necessitating advanced security measures beyond traditional methods like encryption and firewalls. This study explores the potential of blockchain technology as a robust framework for enhancing cybersecurity protocols in financial transactions. The primary objective is to assess how blockchain’s decentralized, transparent, and cryptographic features can mitigate risks such as fraud, unauthorized access, and data breaches. Employing a quantitative experimental design, the study simulated financial transactions on a blockchain platform and analyzed historical data on security breaches. The results indicate that blockchain technology significantly improves data security, with a 98\% effectiveness rate in preventing and detecting breaches. However, challenges such as scalability, regulatory compliance, and high energy consumption were also identified. The findings suggest that while blockchain holds considerable promise for securing financial transactions, further innovation is necessary to address its limitations and fully leverage its capabilities in the financial sector.
Leveraging Big Data Analytics for Strategic Marketing Optimization: Insights and Impacts Fazri, Muhammad Faizal; Ramadhan, Tarisya; Apriliasari, Dwi; Julianingsih, Dwi; Fitzroy, Arabella
CORISINTA Vol 1 No 2 (2024): August
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/corisinta.v1i2.39

Abstract

In the digital era, Big Data Analytics has emerged as a crucial tool for optimizing marketing strategies. This research explores the integration of Big Data into marketing, aiming to identify effective analytical techniques and their impact on marketing outcomes. The study utilized secondary data from various sources, including sales transactions, social media interactions, customer demographics, and web analytics. The analysis process involved data cleaning, integration, predictive modeling, clustering, sentiment analysis, and data visualization. The findings reveal that promotional campaigns and seasonal discounts significantly boost sales, with customer segmentation identifying three key groups: discount hunters, loyal customers, and occasional shoppers. Sentiment analysis shows positive customer feedback, though logistics-related issues warrant improvement. These results underscore the importance of targeted and personalized marketing strategies driven by data insights. The research contributes to marketing theories by providing empirical evidence on the effectiveness of Big Data Analytics in enhancing marketing strategies. Further research is recommended to explore its applicability across different industries, incorporate more diverse data sources, and utilize advanced analytical techniques to refine marketing strategies.
Analysis of the Effect of Service Quality on Company Reputation on Purchase Decisions for Professional Recruitment Services Fernando; Bintoro, B. P. Kusumo; Lutfiani, Ninda; Haryanto; Julianingsih, Dwi
APTISI Transactions on Management (ATM) Vol 7 No 1 (2023): ATM (APTISI Transactions on Management: January )
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/atm.v7i1.1736

Abstract

This study aims to analyze the effect of company reputation and service quality on purchasing decisions for headhunter services. This study is to determine the basis for consumer considerations in choosing a headhunter company, and for headhunter companies this research can be a reference in maintaining relationships with their customers. There are 3 hypotheses tested, and this study uses quantitative methods by conducting surveys. The sampling method is using probability sampling with a sample size of 115 respondents based on the hair formula. As for analyzing the data of this study using multiple linear regression analysis methods.The company's reputation and service quality both influence the decision to purchase headhunter services, with the main factor having higher relevance being the service quality variable. This study aims to determine the relationship of company reputation and service quality to purchasing decisions on professional recruitment services. Future research is expected to raise one case from a large headhunter company (local/international) regarding building the reputation of a headhunter service company. This is so that the headhunter Industry has a proven academic subject of what reputation looks like in the Headhunter Industry
Challenges and Opportunities in Implementing Big Data for Small and Medium Enterprises (SMEs) Cahyono, Dwi; Sijabat, Apriani; Panjaitan, Muktar Bahruddin; Julianingsih, Dwi; Lorenzo, Agung
CORISINTA Vol 2 No 1 (2025): February
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/corisinta.v2i1.74

Abstract

Small and Medium Enterprises (SMEs) play a crucial role in the global economy but often face significant challenges when adopting new technologies like Big Data. While Big Data offers opportunities for improving decision-making, operational efficiency, and gaining a competitive edge, many SMEs struggle due to financial constraints, limited technical expertise, and concerns over data security and privacy. This paper explores the challenges SMEs encounter in adopting Big Data and identifies the opportunities it provides for growth and innovation. A mixed-methods approach is employed, combining qualitative interviews with SME managers and quantitative surveys from 150 SMEs to gather comprehensive data. The findings reveal that SMEs face barriers such as high implementation costs and lack of skilled personnel, but they also recognize the potential for Big Data to enhance customer insights, improve business processes, and foster new business models. Recommendations include exploring cost-effective solutions, investing in employee training, strengthening data security, and adopting modular systems that integrate easily with existing operations. This study underscores the importance of overcoming these challenges and leveraging Big Data as a key driver of digital transformation for SMEs, ultimately helping them to compete more effectively in an increasingly data-driven marketplace.
Co-Authors Abdul Baqi , Muhamad Puad Andriyansah . Apriani Sijabat Apriliasari, Dwi Arif Komara, Maulana Azz, Istajib Kulla Himmy Bibils, Natalie Bintoro, B. P. Kusumo Budiarto, Mukti Danny Manongga Dudi Rudianto DWI CAHYONO Fazri, Muhammad Faizal Fernando Fitzroy, Arabella Garcia, Emily Gunawan, ⁠Ahmad Hadi Nugroho HARYANTO Hua, Chua Toh Huda, Asrul Huda, Asrul Ivanov, Nikita Jayanagara, Oscar Khansa, Fathya Lena Magdalena, Lena Lorenzo, Agung Lutfiyah, Konita Marviola Hardini Maryanti, Tatik Maulana, Aryo Setyo Meria, Lista Mustopa, Muhamad Ikhsan Natalia, Elisa Ananda Ninda Lutfiani Nur Azizah PANJAITAN, MUKTAR B Paramitha AH, Dina Po Abas Sunarya Pramono, Erry Sigit Putri, Adinda Adia Queen, Zabenaso Qurotul Aini Ramadhan, Tarisya Riya Widayanti Ruhiyat, Imam Saputra, Didi Rahmat Siboro, Fernando Sri Watini Untung Rahardja Wahyu Sejati Wahyudi, Otniel Feliks Putra Wahyudin Anugrah, Rio Williams, Alexander Wirjawan, Tri Wahyu Yusuf, David Arian