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The rapid development of social media, particularly Instagram, has transformed consumers’ information-seeking behavior and purchasing decision processes, making information quality in digital catalogs a crucial factor in visual-based marketing. However, studies examining information quality in Instagram-based digital catalogs for highly customized products remain limited. This study aims to analyze the relationship between the quality of digital catalog information and purchasing decisions on the @santflowersbouquet account. A quantitative approach with a survey method was employed, involving 95 respondents selected through purposive sampling. Data were collected using a Likert-scale questionnaire and analyzed through validity, reliability, and Spearman’s Rank correlation tests. The results indicate that information quality is categorized as high, with accuracy (92.6%) and timeliness (86.3%) as the dominant indicators. Purchasing decisions are also in the high category, with the time of purchase indicator reaching 96.8%. The correlation test shows a positive and significant relationship with a coefficient of 0.621 (p<0.001), indicating a strong association. These findings suggest that improving the quality of digital catalog information significantly contributes to enhancing purchasing decisions. Therefore, businesses are encouraged to optimize information quality as part of their digital marketing communication strategy.

The exponential growth of digital music catalogs on streaming platforms such as Spotify has made personalized recommendation systems crucial for enhancing user experience. This study develops a hybrid music recommendation system that addresses both warm-user and cold-user scenarios by combining Alternating Least Squares (ALS) collaborative filtering with content-based filtering (CBF) augmented by a popularity component. The dataset consists of 8,549,544 user-track interactions and a master file of 1,204,025 tracks with ten audio features. After preprocessing, users were segmented into 14,880 warm users and 723 cold users based on a five-interaction threshold. The ALS model was trained on the user-item implicit feedback matrix and tuned through grid search over factors, alpha, and regularization. CBF was implemented using cosine similarity on normalized audio features, while popularity scores were applied for new users with insufficient history. Evaluation used Precision@10, Recall@10, and NDCG@10. The final ALS configuration achieved NDCG@10 of 0.1116, representing a 30% improvement over baseline, while the hybrid CBF improved NDCG@10 for cold users from 0.0070 to 0.0201. Findings indicate that adaptive routing among ALS, CBF, and popularity reliably handles different user states, providing a practical foundation for production-grade music recommendation systems.

Culinary MSMEs serve as a vital economic pillar; however, they often encounter significant internal management obstacles and low digital competitiveness. Sabila Snack & Bakery faces complex challenges, including unstructured production schedules, limited digital marketing literacy, inconsistent visual branding, and financial record-keeping that remains intertwined with personal funds. This community service initiative aims to provide applicable solutions by strengthening internal management and digital marketing strategies to enhance operational efficiency and business competitiveness. The methodology employed is Participatory Action Research (PAR), encompassing stages of observation, interviews, technical assistance, and evaluation. The results indicate a significant transformation in business governance. The implementation of daily production schedules has successfully improved workflow regularity and operational efficiency. Furthermore, branding reinforcement through the establishment of a permanent logo, the creation of systematic product catalogs, and the optimization of social media platforms such as WhatsApp Business, Instagram, and TikTok has effectively increased business visibility and professionalism in the digital sphere. Additionally, the application of a simple bookkeeping system has fostered administrative discipline and a clear separation between personal finances and business capital. Overall, this intervention has successfully transitioned the business from traditional management patterns toward a more structured, professional, and sustainable management model ready to compete in a broader market.

Micro, Small, and Medium Enterprises (MSMEs) play a strategic role in driving local economic development, particularly in rural areas that rely on the utilization of local natural resources. However, many MSMEs still face challenges in marketing aspects, especially limited use of digital technology, weak branding, and unattractive product packaging. This community service activity aims to strengthen the marketing strategy of the “Nek Surati” cassava chips MSME located in Dolok Village, Nagori Boluk, Bosar Maligas District, Simalungun Regency. The methods employed include field observations, interviews with MSME actors, descriptive analysis of existing problems, and practice-based (hands-on) assistance through digital marketing training, improvement of packaging design, and strengthening of product branding. The results indicate an increase in the digital readiness of the MSME actor, as evidenced by the adoption of WhatsApp Business, the creation of digital product catalogs, and the utilization of social media as a promotional tool. In addition, improvements in packaging design and brand identity enhanced the visual appeal and product image in the eyes of consumers. This assistance activity had a positive impact on improving the marketing capacity of the MSME and opened opportunities for expanding market reach. With continuous assistance, the “Nek Surati” cassava chips MSME has the potential to increase its competitiveness and contribute more significantly to the local economy.

This study analyzes and designs a dual-role web-based ordering information system to optimize order management at Sunrise Bakery. This SME currently faces inefficiencies due to manual recording. The system, developed using the SDLC Waterfall method with PHP and MySQL, serves two main actors: customers, who can order online, browse catalogs, track orders, and pay digitally; and administrators (admin, cashier, owner), who manage products, update stock, input in-store orders, generate daily/monthly sales reports, and manage user access. Black Box Testing confirms all core functions work correctly. The system successfully addresses manual process shortcomings by improving data accuracy and providing real-time monitoring for both customers and management. It offers a comprehensive digital solution to enhance operational efficiency and service quality. Limitations include the lack of integrated digital payment gateways and external messaging. Future development should incorporate payment gateways (e.g., OVO, GoPay), WhatsApp notifications, a mobile application, and predictive analytics for sales and stock forecasting.

This study addresses the urgent need for digital transformation at Percetakan Rajawali, a printing company currently reliant on manual order processes, which leads to service delays, recording errors, and lack of transparency. The research aims to design and implement a web-based online ordering information system to facilitate customer orders, accelerate confirmation and order tracking, and improve the efficiency of order data management. Adopting the linear and sequential Waterfall methodology, the study progressed through stages of system analysis, design, coding, testing, and maintenance. The key findings include the successful design of a comprehensive system featuring product catalogs, an online ordering module with real-time cost calculation, integrated payment management, and an admin dashboard for order processing. The system is designed with user-centered and secure principles, expected to significantly enhance operational efficiency, service speed, and customer satisfaction by providing an integrated, transparent, and accessible online ordering platform.