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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.
New Product Development With A Customer-Centric Approach to Meet Dynamic Market Needs Dony Ari Nugroho
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.
The Use Of Industry 4.0 Technology In The Transformation Of Production Processes Towards Smart Factories Dony Ari Nugroho
Eduvest - Journal of Universal Studies Vol. 4 No. 8 (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.v4i8.1817

Abstract

This research aims to explore the use of Industry 4.0 technology in the transformation of the production process towards a smart factory. The method used in this research is qualitative. The process of collecting data and information comes from literature studies obtained from various articles, books, and documents relevant to the topic of discussion. The results show that the implementation of industry 4.0 technology can improve efficiency, flexibility, and operational resilience in the production environment. Through better integration between equipment and systems, smart factories can monitor, forecast, and control production processes in real-time, allowing adaptation of production models that are responsive to market dynamics. However, there are also challenges and opportunities that arise in its application. As such, this research provides a contribution to understanding the implications of Industry 4.0 technologies on the future of production and industry as a whole.
Analysis of the Role of Customer Relationship Management (CRM) in Maintaining Customer Loyalty Dony Ari Nugroho
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 Dony Ari Nugroho
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 Dony Ari Nugroho
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.
The Impact of Fluctuations in Fuel Prices and the Rupiah Exchange Rate on the Operational Management Efficiency of Shipping Companies Dony Ari Nugroho; Sofyan Halim
Winter Journal: IMWI Student Research Journal Vol. 7 No. 2 (2026): Winter Journal: IMWI Student Research Journal
Publisher : Institut Manajemen Wiyata Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52851/wt.v7i2.108

Abstract

Fuel oil (BBM) prices and the rupiah exchange rate are two external economic variables that significantly influence the cost structure of shipping companies, particularly in an archipelagic country such as Indonesia. This study aimed to examine the effects of fuel price fluctuations and rupiah exchange rate movements on the efficiency of shipping operational management. The study employed a quantitative descriptive-verification approach using secondary time-series data, including high-speed diesel (HSD) and marine fuel oil (MFO) prices, the rupiah exchange rate against the US dollar, ship fuel consumption, and operational costs per voyage. The data were analyzed using multiple linear regression and could be extended to panel data regression for cross-fleet observations. The results indicated that increases in fuel prices raised ship operational costs and potentially reduced maritime transportation volume, while rupiah depreciation increased the costs of fuel procurement, spare parts, and vessel maintenance due to dependence on imported components. Operational efficiency could be improved through information technology-based fuel consumption monitoring, optimization of vessel economic speed (slow steaming), and budget planning that accounted for exchange rate fluctuations and energy cost sensitivity. This study contributed an operational efficiency strategy framework for shipping companies that is adaptive to energy price pressures and exchange rate volatility.