http://repository.president.ac.id/xmlui/handle/123456789/5824 2026-08-19T04:11:04Z http://repository.president.ac.id/xmlui/handle/123456789/13742 DIGITAL MARKETING STRATEGY OF JASTIP BANGKOK BUSINESS: A CASE STUDY OF @TITIPDISANGA PROVIDER IN INDONESIA Octavia, Alya Sabrina This research aims to understand how @Titipdisanga builds trust, manages operations, and engages customers using digital tools. The case of Titipdisanga demonstrates how spontaneous entrepreneurship can evolve into a structured business model through strategic digital engagement and operational adaptation. Instagram serves as the main sales platform, while TikTok acts as a visibility driver, enabling the seller to reach new audiences and validate market deman. Key assets of the company include a thorough understanding of its young, fashion- conscious customer base, quick order fulfillment mechanisms, and a personalized strategy that encourages emotional connection and repeat purchases. A qualitative case study approach was adopted, which included in-depth interviews with the business owner and examination of client testimonials. The data were studied to uncover important strategy and operational issues in the Jastip model. The study also looked at digital engagement patterns and the usage of automation to manage orders. According to the findings, Titipdisanga mostly relies on organic social media content to generate client attention and transactions. Trust is built through personal branding, transparency, and active communication. Simple digital technologies such as Google Docs and Instagram features help to support operational operations. Despite logistical challenges, customs hazards, and competitive pressures, the company maintains high customer loyalty and repeat business. 2025-01-01T00:00:00Z http://repository.president.ac.id/xmlui/handle/123456789/13741 FINANCIAL RESILIENCE AND GREEN SUPPLY CHAIN PRACTICES: ENHANCING SUSTAINABILITY AND ROA IN INDONESIA’S TEXTILE INDUSTRY Cahliani, Warda Regita This research analyzes how operational and financial ratios, in conjunction with GSC practices, influence the financial aspects of the textile industry in Indonesia, focusing on the Return on Assets (ROA) as indicators of performance. This research examines the relationship between financial practices and sustainable development indicators on the firm’s outcome. This analysis utilizes panel data on 18 companies in the Indonesia Stock Exchange between 2019 and 2024 using the Fixed Effect Model and Moderated Regression. In relation to these findings, the Interest Coverage Ratio and Inventory Turnover drove the Return on Assets (ROA) the most, emphasizing on debt control and the proper handling of stock level discipline. The Current Ratio, Working Capital Ratio, Production Costs and, Raw Material Fluctuations were shown to be weak or insignificant. GSC practices do not directly increase the profitability of the firm, however, they enhance the operational performance and profitability correlation. In conclusion, sustainable financing in Indonesia’s textile industry rests on proper financing, integrated with GSC practices as the financial touchstone. 2025-01-01T00:00:00Z http://repository.president.ac.id/xmlui/handle/123456789/13739 BUSINESS PLAN OF NARDIS GUEST HOUSE Sitompul, Julia Ratih Gita Dwiyana The growth of tourism in Bali particularly in the Canggu region has transformed the hospitality landscape, fueled by an influx of wellness-focused travelers, digital nomads, and experience-driven tourists. Despite this momentum, much of the market remains polarized between budget accommodations and overly commercialized properties lacking emotional and functional depth. This study aims to develop an innovative boutique-style guesthouse model Nardis Bliss Guest House in Berawa, Canggu that bridges this gap by integrating advanced technology, sustainable operations, and emotionally supportive design principles to meet the evolving needs of modern travelers. Using a qualitative methodology grounded in design thinking, the research combined market observation, environmental and competitive analyses (SWOT, PESTLE, and VRIO), and in-depth interviews with target customer profiles, including digital nomads, wellness seekers, and lifestyle travelers, to identify pain points, motivations, and desired experiences. The concept was prototyped to feature AI-powered smart rooms, wellness amenities such as yoga and jacuzzi, communal spaces for social interaction, eco-friendly practices, and pet- assisted therapy, then tested through customer feedback to refine service offerings. Results reveal strong market interest in accommodations that combine personalized comfort, technological convenience, and community connection, with respondents valuing the balance of privacy, productivity, and emotional well-being. The findings confirm both the market feasibility and strategic advantage of a purpose-driven hospitality model that fuses emotional intelligence, design innovation, and sustainable practices delivering not just a place to stay, but a space to belong. 2025-01-01T00:00:00Z http://repository.president.ac.id/xmlui/handle/123456789/13737 DESIGN AND PROTOTYPING OF MINE MIND: A PRODUCT DEVELOPMENT APPROACH TO AI-DRIVEN MINING PERFORMANCE MANAGEMENT Simamora, Panji Anugrah The mining industry still finds it difficult to turn large streams of operational data into decisions that are both fast and useful. At times the reports or dashboards arrive too late. By the time the numbers are available, the people on site may already need to act. This delay can bring production losses, extra safety concerns, and higher costs (Rojas et al., 2025). Artificial intelligence seems to help in some areas, such as predictive maintenance and equipment reliability (Sahoo et al., 2019; Abdi et al., 2008). Even so, its role in mining is not very broad. In many cases the data is noisy, systems fail to connect smoothly, and the models can be difficult for people to trust or explain (Landre Júnior et al., 2022). In this study we put forward MineMind, an AI-based model for performance management in mining. The idea is not only to monitor or report but also to support decisions that should be more proactive and adaptive. To develop the model, the work follows two paths. One path looks at benchmarking. It reviews how AI has been used in other industries, with energy being the main point of reference, and pulls out lessons that could make sense for mining. The other path turns to product development. Here the focus is on building MineMind with elements like real-time monitoring, natural language interaction, and AI-driven recommendations. For guidance, the research makes use of the Digital Transformation Pyramid (Westerman et al., 2014). Yet the framework is not taken as is. It is adapted to fit the mining setting. The results suggest that combining benchmarking with product development may help MineMind support mining companies in strengthening control, improving safety, and running operations more efficiently. On a wider note, this study also adds to technology management by showing one possible way to apply AI to mining performance management. It does not aim to close the discussion but rather to provide direction. 2025-01-01T00:00:00Z