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All Journal Syntax Literate: Jurnal Ilmiah Indonesia Abdi Dosen : Jurnal Pengabdian Pada Masyarakat International Journal of Social Service and Research Winter Journal: IMWI Student Research Journal International Journal of Islamic Education, Research and Multiculturalism (IJIERM) Return : Study of Management, Economic and Bussines Inkubis: Jurnal Ekonomi dan Bisnis Eduvest - Journal of Universal Studies Enrichment: Journal of Multidisciplinary Research and Development Asian Journal of Management, Entrepreneurship and Social Science
Dony Ari Nugroho
Universitas Mercu Buana
Religion Aerospace Engineering Arts Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Neuroscience Public Health Social Sciences Other

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Application of Customer Relationship Management (CRM) Principles to Improve Customer Retention Dony Ari Nugroho
Asian Journal of Management, Entrepreneurship and Social Science Vol. 4 No. 03 (2024): August Asian Journal of Management Entrepreneurship and Social Science ( AJMES
Publisher : Cita Konsultindo Research Center

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Abstract

The application of Customer Relationship Management (CRM) principles is based on the company's need to face the challenges of increasingly fierce competition and evolving customer demands. The importance of maintaining a competitive advantage, companies need to manage relationships with customers effectively. CRM emerged as a strategic solution that allows companies to collect, analyze, and leverage customer data to improve their experience so that companies can not only better meet customer needs but also build sustainable loyalty. The purpose of this study is to explore the application of Customer Relationship Management (CRM) principles to improve customer retention. The research method used is a qualitative method with secondary data sources. The data collection technique used is documentation, then the data is analyzed with the Milles & Huberman approach through three stages, namely data reduction, data presentation and conclusion drawn. The results of the study show that the application of Customer Relationship Management (CRM) aims to increase customer retention through better and personalized relationship management. By leveraging customer data, CRM helps companies increase satisfaction, strengthen loyalty, and reduce churn. As a result, companies can improve business performance and profits.
Development of a Digital Marketing Strategy to Increase Market Share for Local Cosmetic Products Nugroho, Dony Ari
International Journal of Social Service and Research Vol. 4 No. 05 (2024): International Journal of Social Service and Research (IJSSR)
Publisher : Ridwan Institute

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Abstract

This research aims to understand the development of effective digital marketing strategies in improving the competitiveness of local cosmetic products in the digital market. The method used in this research uses qualitative research methods. Data collection to obtain information related to the topic was conducted through literature study. Through the evaluation of various strategies, including social media marketing, online advertising, SEO, and content marketing, this research highlights the importance of an integrated and customised approach to brand needs. The results show that implementing the right strategies can bring significant positive impacts, including increased brand visibility, consumer awareness, and sales of local cosmetic products. With a deep understanding of consumer preferences and the digital market environment, stakeholders in the cosmetics industry can take strategic steps to expand their market share and achieve long-term success in this rapidly changing environment.
MARKET SEGMENTATION ANALYSIS AND POSITIONING TO INCREASE PRODUCT COMPETITIVENESS IN THE GLOBAL MARKET Nugroho, Dony Ari
International Journal of Social Service and Research Vol. 4 No. 8 (2024): International Journal of Social Service and Research
Publisher : Ridwan Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46799/ijssr.v4i8.888

Abstract

This study aims to find out how to increase product competitiveness in the global market through the analysis of market segmentation and positioning. The study employs a qualitative approach, utilizing a systematic literature review (SLR) design. The data is analyzed through identification, classification, conclusion drawing, and verification. The research contribution lies in its focus on enhancing the competitiveness of products in a highly competitive global environment by analyzing market segments and positioning strategies. This study provides valuable insights and practical guidelines for businesses seeking to optimize their market presence and differentiate their products in an ever-evolving era of globalization. In addition, the study explores the impact of cultural and local adaptation on the success of positioning strategies in diverse markets.
ANALYSIS OF MACHINE LEARNING AND AI TO ENHANCE MARKETING NEEDS AND CUSTOMER SATISFACTION Nugroho, Dony Ari
International Journal of Social Service and Research Vol. 4 No. 12 (2024): International Journal of Social Service and Research
Publisher : Ridwan Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46799/ijssr.v4i12.1144

Abstract

The development of Machine Learning (ML) and Artificial Intelligence (AI) technologies has revolutionized various industries, including marketing and customer satisfaction. In the modern competitive business era, companies are increasingly relying on this technology to improve operational efficiency and effectiveness, especially in answering marketing needs and customer satisfaction. This study aims to analyze the role of ML and AI in strengthening aspects of marketing and customer satisfaction in the business sector. The research method uses a qualitative approach with data collection techniques through literature studies. After the data is collected, it is then analyzed by the stages of filtering relevant data, presenting key information, and answering the research objectives in the conclusion. The results of the study show that the application of ML and AI can significantly improve the marketing effectiveness of companies through personalization of products and services, conducting more accurate customer segmentation, predicting consumer behavior, and optimizing various aspects of marketing. On the other hand, the application of ML and AI also plays an important role in improving customer satisfaction. For example, with the use of intelligent chatbots and customer feedback analysis, companies can understand the shortcomings that need to be fixed, then improve the quality of customer service. So, by utilizing this technology, companies can increase efficiency in marketing, drive increased sales, and build more solid relationships with customers, which ultimately contributes to increased customer satisfaction.
The Impact of Work-Life Balance on Employee Performance and Satisfaction in Start-Up Companies Nugroho, Dony Ari
International Journal of Islamic Education, Research and Multiculturalism (IJIERM) Vol 7 No 1 (2025)
Publisher : The Islamic Education and Multiculturalism Foundation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47006/ijierm.v7i1.390

Abstract

As of January 11, 2024, Indonesia has 2,566 startups, ranking sixth in the world and first in Southeast Asia. Startups in Indonesia focus on technological innovation with the goal of rapid growth, often funded by venture capital or crowdfunding. Despite facing financial challenges and competition, startups have the potential to disrupt industries. However, they also face challenges in maintaining operational balance and employee well-being, which impacts performance and satisfaction. The aim of this research is to analyze the extent to which the balance between work and personal life affects employee performance and satisfaction in startup companies. This study uses a quantitative method with data collection through questionnaires. The population of the study consists of employees from startup company X, with a sample selected using purposive sampling, resulting in 100 respondents. The data collected was analyzed using SPSS for statistical analysis and hypothesis testing to present objective and accurate research results. The findings show that work-life balance positively influences employee performance and satisfaction in startup companies. Employees who are able to balance work and personal life tend to be more productive and satisfied, as this balance reduces stress, increases motivation, and improves well-being. Therefore, startup companies need to create an environment that supports work-life balance to enhance employee performance and satisfaction.
MINERAL WATER TREATMENT TECHNOLOGY USING RO MACHINES TO IMPROVE HEALTHY LIVING QUALITY & ECONOMY FOR MDT AL-KARIMAH AND THE SURROUNDING COMMUNITY Widyanto, Muhammad Laras; Halim, Sofyan; Nugroho, Dony Ari
Abdi Dosen : Jurnal Pengabdian Pada Masyarakat Vol. 9 No. 4 (2025): DESEMBER
Publisher : LPPM Univ. Ibn Khaldun Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32832/abdidos.v9i4.3111

Abstract

The Community Service Program (PKM) was carried out at Madrasah Diniyah Takmiliyah (MDT) Al-Karimah, Cibunar Village, Kadudampit District, Sukabumi Regency, West Java. The background of the activity is the problem of limited access to healthy mineral water and the need to improve the economy of the MDT and the surrounding community. The solution of this program is to improve the quality of healthy living through the provision of mineral water based on Reverse Osmosis (RO) technology while empowering the economy of MDT Al-Karimah through the management of drinking water refill depots. The implementation method includes program socialization, technical and managerial training, installation of RO machines with a capacity of ±80 gallons/day, operational assistance, and sustainability evaluation. This activity is participatory, involving students, MDT administrators, and the local community, with the support of the village and sub-district governments. The results of the activity showed that the mineral water produced passed the feasibility test of the Sukabumi Regency Health Office, so it was safe for consumption. The conclusion is that this program has contributed for providing dual benefits, namely improving the quality of public health through access to hygienic drinking water and strengthening the economy of MDT-based communities.
Artificial Intelligence Adoption and Career Reconfiguration of Office Workers: The Mediating Role of Training and Organizational Support Dony Ari Nugroho
Inkubis : Jurnal Ekonomi dan Bisnis Vol. 8 No. 1 (2026): INKUBIS Jurnal Ekonomi Dan Bisnis
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/inkubis.v8i1.151

Abstract

Background: The development of artificial intelligence (AI) is fundamentally reshaping workforce structures, particularly for office workers whose task profiles are highly exposed to automation-driven transformation. As organizations integrate AI into operational systems, employees increasingly face shifts in task composition, skill requirements, and long-term career trajectories. Objective: This study aims to explore the impact of AI on career shifts within the office sector. Methods: By adopting a quantitative research method through surveys and secondary data analysis, this study examines how office workers respond to changes caused by the adoption of AI in their work environments. Results: The findings indicate that AI adoption significantly reshaped task profiles for 73% of respondents, particularly affecting routine data processing, administrative tasks, and scheduling activities. Multiple regression results show that skills training is the strongest predictor of career adaptation (beta = 0.412, p = 0.002), followed by organizational support (beta= 0.389, p = 0.005), openness to technology (beta= 0.367, p = 0.003), and readiness to change (beta = 0.298, p = 0.011). Together, these variables explain 61% of the variance in adaptive outcomes (R² = 0.61). Mediation analysis further confirms that training and organizational support significantly mediate the relationship between AI adoption and career shifts. Conclusion: AI's career impact is organizationally mediated rather than technologically predetermined. The study introduces career reconfiguration as a framework explaining intra-role task transformation, extending existing career mobility and job transition theories while highlighting the importance of institutional support for workforce adaptation in AI-integrated workplaces.
Pengaruh Work-Life Balance, Lingkungan Kerja, dan Komitmen Organisasi Terhadap Kepuasan Kerja Karyawan (Studi Kasus pada Karyawan PT. Bank Central Asia, TBK) Nugroho, Dony Ari; Paijan , Paijan; DL, Yulian Mirabellia
Syntax Literate Jurnal Ilmiah Indonesia
Publisher : Syntax Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36418/syntax-literate.v11i4.64295

Abstract

Karyawan merupakan aset penting dalam mencapai keberhasilan organisasi, sehingga kepuasan kerja menjadi faktor utama dalam meningkatkan kinerja dan produktivitas. Dalam sektor perbankan, kepuasan kerja semakin penting karena tingginya tuntutan pekerjaan dan dinamika lingkungan kerja. Penelitian ini bertujuan untuk menganalisis pengaruh work-life balance, lingkungan kerja, dan komitmen organisasi terhadap kepuasan kerja karyawan di PT Bank Central Asia Tbk. Penelitian ini menggunakan pendekatan kuantitatif dengan metode survei, di mana data dikumpulkan melalui kuesioner kepada 100 responden. Analisis data dilakukan menggunakan metode Partial Least Squares Structural Equation Modeling (PLS-SEM). Hasil penelitian menunjukkan bahwa work-life balance, lingkungan kerja, dan komitmen organisasi berpengaruh signifikan terhadap kepuasan kerja. Di antara ketiga variabel tersebut, komitmen organisasi memiliki pengaruh paling dominan, yang menunjukkan bahwa keterikatan emosional dan loyalitas karyawan terhadap organisasi sangat menentukan tingkat kepuasan kerja. Model penelitian memiliki kemampuan penjelasan yang kuat dengan nilai R-square sebesar 0,781, yang berarti 78,1% variasi kepuasan kerja dapat dijelaskan oleh ketiga variabel independen. Kesimpulannya, peningkatan kepuasan kerja karyawan dapat dicapai melalui penguatan komitmen organisasi yang didukung oleh keseimbangan kehidupan kerja dan lingkungan kerja yang kondusif, sehingga mampu meningkatkan kesejahteraan karyawan dan kinerja organisasi secara berkelanjutan.
The Role of AI in Predicting Consumer Behaviour and Effective Marketing Strategies Dony Ari Nugroho
Return : Study of Management, Economic and Bussines Vol. 4 No. 3 (2025): Return: Study of Management, Economic and Business
Publisher : PT. Publikasiku Academic Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57096/return.v4i3.355

Abstract

Artificial Intelligence (AI) has become an important tool in analysing and predicting consumer behaviour. With its big data processing capabilities, AI can assist companies in developing more effective and efficient marketing strategies. This research aims to analyse the role of AI in understanding consumer behaviour patterns and their implications for marketing strategies. The method used in this research is a literature study that includes various journals, industry reports, and case studies. The results show that AI provides significant advantages in increasing sales conversions, optimising marketing costs, and strengthening relationships between companies and customers. However, challenges such as data privacy and algorithm transparency remain major concerns in the application of this technology. Therefore, an ethical and sustainable strategy in adopting AI is required so that the benefits can be optimised without compromising customer trust. This research provides insights for academics and business practitioners in understanding the impact of AI on consumer behaviour and developing more innovative and data-driven marketing strategies.
Use Of Digital Content As A Means To Reach Unreachable Market Segments Conventionally Dony Ari Nugroho
Eduvest - Journal of Universal Studies Vol. 4 No. 6 (2024): Journal Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v4i6.1493

Abstract

The presence of the industrial era 4.0 gave birth to various technological developments that have an influence on the delivery and processing of data in all aspects of human life. Technology brings the presence of developments in the field of marketing. This development comes with digital marketing that shifts conventional marketing. Business owners try to do various ways to develop their business and increase profits, one of which is the use of digital content as a strategy in digital marketing. The purpose of this study is to analyze the use of digital content as a means to reach market segments that are not conventionally reached. The research method used is qualitative with description processing. The data collection technique is a literature study using various relevant sources. The data obtained was analyzed with three stages, namely data reduction, data presentation, and conclusion making. The results show that the use of digital content as a digital marketing strategy is effective in reaching market segments that are not reached conventionally through social media platforms, websites, and mobile applications. Analysis of content performance and user interactions enables optimization of digital marketing strategies, increasing brand awareness, expanding reach, and enhancing engagement with diverse market segments, emphasizing the importance of continuous development and utilization of analytics technology to understand consumer preferences and behaviors to strengthen competitive positions in dynamic markets.
Co-Authors DL, Yulian Mirabellia Paijan , Paijan Sofyan Halim Widyanto, Muhammad Laras