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All Journal Abdi Dosen : Jurnal Pengabdian Pada Masyarakat International Journal of Social Service and Research International Journal of Islamic Education, Research and Multiculturalism (IJIERM) Return : Study of Management, Economic and Bussines 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, Indonesia
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.
New Product Development With A Customer-Centric Approach to Meet Dynamic Market Needs Nugroho, Dony Ari
Eduvest - Journal of Universal Studies Vol. 5 No. 2 (2025): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v5i2.1712

Abstract

This research explores the application of a customer-centric approach in new product development to meet the needs of a dynamic market. Using qualitative methods, including in-depth interviews, focus group discussions (FGDs), and analysis of company documentation, this study identifies the best strategies, challenges, and impacts of implementing this approach on product success. The results show that the integration of customer feedback and the effective use of analytical data can improve customer satisfaction and product sales performance. However, companies face challenges in terms of resource constraints, internal resistance, and consumer data collection. The study recommends companies to allocate adequate resources, involve teams in decision-making, and use advanced technology for data optimization. For further research, it is recommended that the focus be on applying a customer-centric approach across various industries and company scales, as well as solutions to overcome specific obstacles faced.
Analysis of the Role of Customer Relationship Management (CRM) in Maintaining Customer Loyalty Nugroho, Dony Ari
Eduvest - Journal of Universal Studies Vol. 5 No. 4 (2025): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v5i4.49939

Abstract

Customer loyalty has an important role in business continuity, considering that loyal customers tend to make purchases more often, provide recommendations, and have a high lifetime value. In the midst of increasingly fierce business competition with a large selection of similar products and services, companies need to maintain customer loyalty to maintain a competitive advantage. One way to maintain customer loyalty is through the implementation of Customer Relationship Management (CRM). This study aims to analyze the role of CRM in maintaining customer loyalty. This study uses a qualitative approach with data collection techniques through literature studies. After the data is collected, data analysis is conducted through relevant data screening and data presentation, and a conclusion is drawn. The study results show that CRM is an important investment for companies that want to maintain customer loyalty. Companies can understand customer needs, provide personalized experiences, and improve service quality through CRM. CRM helps companies build strong, long-term relationships with customers, which ultimately positively impacts business growth and company sustainability. Therefore, implementing CRM can be used as an effective business strategy for companies amid increasingly fierce market competition.
The Role of Color and Packaging Shape on Consumer Emotional Responses: A Neuromarketing Study With Eeg Nugroho, Dony Ari
Eduvest - Journal of Universal Studies Vol. 5 No. 3 (2025): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v5i3.50961

Abstract

Packaging design, particularly color and shape, plays a crucial role in shaping consumer perceptions and emotional responses toward a product, ultimately influencing purchasing decisions. With advances in neuromarketing technology, the use of electroencephalography (EEG) enables researchers to objectively analyze how the brain responds to various visual elements in packaging, including levels of engagement and emotions evoked. This study aims to examine the impact of packaging color and shape on consumers' emotional responses using EEG, providing insights for companies in designing more effective packaging to attract attention and enhance consumer preferences. A qualitative descriptive method was employed to understand the influence of color and shape on consumer emotions. Data were collected through documentation, including observation notes, interview transcripts, video recordings, and literature reviews related to neuromarketing and packaging design. Thematic analysis was used to identify patterns of emotional responses, offering in-depth insights into how visual packaging elements affect consumer purchasing decisions. The findings indicate that color and shape play a significant role in eliciting emotional responses that influence consumer preferences and purchasing decisions. Bright and contrasting colors tend to attract attention and evoke positive emotions, while ergonomic and unique packaging shapes enhance emotional engagement and perceived product quality. This study confirms that visual packaging elements contribute to consumers' sensory and psychological experiences, which can be leveraged in marketing strategies to increase product appeal
Identification of Dominant Factors Causing Barge and Tug Shipping Accidents By Analyzing Secondary Data on Accidents on The Mahakam River and Palembang Nugroho, Dony Ari
Eduvest - Journal of Universal Studies Vol. 5 No. 8 (2025): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v5i8.52099

Abstract

Barge and tugboat shipping accidents in the Mahakam River and Palembang continue to occur from year to year, causing material losses, fatalities, and disruptions to transportation and economic activities. This problem indicates the existence of dominant factors that need to be thoroughly identified, whether from the aspects of ship technical conditions, human negligence, environmental conditions, or weaknesses in regulation and supervision. This study aims to identify the dominant factors causing accidents through secondary data analysis, which can serve as the basis for recommendations to improve maritime safety. This research employs a descriptive qualitative method with documentation techniques to collect secondary data related to barge and tugboat accidents. Data analysis was carried out using the Miles and Huberman model through three stages: data reduction, data presentation, and conclusion drawing with verification. The results of the study indicate that accidents are influenced by three main groups of factors, namely human factors (operator negligence, lack of training, and low safety awareness), technical factors (unseaworthy vessels, engine damage, infrastructure limitations), and natural factors (extreme weather, strong currents, inadequate water depth). The implications of this research underscore the need for integrated measures, including enhancing crew competence, improving shipping infrastructure, implementing early warning systems, and strengthening regulations and oversight. The implementation of these recommendations is expected to reduce accident rates and support the sustainability of river transportation in both regions.
Customer-Centric Marketing with AI and Data Science Integration in Developing Consumer Satisfaction-Based Marketing Strategies Nugroho, Dony Ari
Enrichment: Journal of Multidisciplinary Research and Development Vol. 3 No. 7 (2025): Enrichment: Journal of Multidisciplinary Research and Development
Publisher : International Journal Labs

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55324/enrichment.v3i7.497

Abstract

The development of digital technology has encouraged companies to adopt customer-centric marketing strategies that focus on consumer satisfaction. The integration of Artificial Intelligence (AI) and Data Science opens up opportunities to improve data analysis accuracy, personalize experiences, and make real-time decisions. However, many companies still experience a gap between the potential of technology and the optimal implementation of strategies. This study aims to explore the effectiveness of integrating AI and Data Science into customer-centric marketing strategies based on customer satisfaction. A qualitative approach was used with participants including marketing managers, strategy teams, and active consumers. Data was collected through in-depth interviews, participatory observation, and document analysis, then analyzed using a thematic-inductive approach with triangulation of sources for validity. The research findings indicate that the integration of AI and Data Science enhances market segmentation accuracy, enriches customer experience through personalization, and strengthens real-time data-driven decision-making. There is a positive correlation between the use of this technology and increased consumer satisfaction. However, challenges include the need for strict data governance, skill gaps in human resources, and high initial investment requirements. The implications of this study emphasize the importance of developing technological capabilities and human resources to maximize the benefits of AI and data science in marketing strategies, while maintaining consumer trust and loyalty in a sustainable manner.
Co-Authors Sofyan Halim Widyanto, Muhammad Laras