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All Journal TIN: TERAPAN INFORMATIKA NUSANTARA Kolaborasi Jurnal Pengabdian Masyarakat Jurnal Ekonomi Kreatif dan Manajemen Bisnis Digital (JEKOMBITAL)
Subagio, Azka Raisa
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Sosialisasi Digital Marketing Terhadap Usaha Mikro Kecil dan Menengah di Dusun Kradenan Subagio, Azka Raisa
Kolaborasi: Jurnal Pengabdian Masyarakat Vol 5 No 2 (2025): Kolaborasi: Jurnal Pengabdian Masyarakat
Publisher : Yayasan Inspirasi El Burhani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56359/kolaborasi.v5i2.485

Abstract

Introduction: The rapid development of information technology has transformed marketing strategies from conventional to digital approaches. Digital marketing enables businesses, including Micro, Small, and Medium Enterprises (MSMEs), to reach broader markets, increase competitiveness, and enhance customer engagement. However, in Dusun Kradenan, many MSME actors still rely on traditional marketing methods due to limited digital literacy and technological resources. Objective: This study aims to enhance the understanding and skills of MSME actors in Dusun Kradenan in utilizing digital marketing for business promotion. Additionally, it seeks to analyze the impact of digital marketing socialization conducted by community service students on local business competitiveness. Method: The method used in this socialization was a participatory approach, involving direct interaction between students and MSME actors. The activities included an initial survey to identify business needs, preparation of digital marketing materials, workshop implementation, evaluation, and post-socialization mentoring to ensure sustainable digital marketing adoption. Result: The socialization was attended by 15 MSME actors in the food and beverage sector. The results showed that 80% of participants felt more confident in using social media for product promotion. Additionally, there was a significant increase in MSMEs adopting digital platforms such as Instagram and Facebook for marketing. A notable case study was Carade Cake and Cookies, which experienced a 60% increase in sales within two months after implementing digital marketing strategies. However, some MSME actors still faced challenges related to technical skills and resource limitations. Conclusion: The digital marketing socialization positively impacted MSME actors in Dusun Kradenan by improving their digital marketing knowledge and business competitiveness. Although challenges remain, continuous mentoring is crucial to ensuring the sustainability of digital marketing adoption in the community.
Development of Application-Based Business Models in the Creative Cosplay Industry Subagio, Azka Raisa
Jurnal Ekonomi Kreatif dan Manajemen Bisnis Digital Vol 4 No 2 (2025): NOVEMBER
Publisher : Transpublika Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55047/jekombital.v4i2.1048

Abstract

The cosplay industry is a rapidly growing sector of the creative economy, combining performing arts, craftsmanship, and digital entrepreneurship. With the rise in global interest in anime, gaming, and pop culture, cosplay has evolved from a recreational activity into a creative industry that generates income for designers, rental providers, photographers, and event organizers. However, the industry still faces major challenges, including high production costs, limited access to quality costumes, and a fragmented service system that hinders business scalability and collaboration. These conditions highlight the urgent need for a more integrated and technology-driven business approach. This study aims to design an application-based business model to address these barriers and optimize opportunities for cosplayers and service providers. A quantitative approach was employed by distributing questionnaires to 112 respondents from various cosplay communities and providers. The collected data were analyzed using descriptive statistics and Business Model Canvas (BMC) mapping to identify key components of the proposed model. Findings show that most respondents express a strong demand for digital platforms that provide affordable access to costumes, efficient rental and purchase services, and community-based features. The results further highlight revenue opportunities for providers and service providers through integrated application systems. This study contributes to the development of digital business models in creative industries and provides practical implications for entrepreneurs and policymakers in supporting innovation within the cosplay sector.
Optimizing Decision Making in MSMEs through Business Intelligence Dashboards using Python and Power BI Subagio, Azka Raisa
TIN: Terapan Informatika Nusantara Vol 6 No 8 (2026): January 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v6i8.8634

Abstract

Micro, Small, and Medium Enterprises in Indonesia play a vital role in national economic growth; however, many continue to rely on manual spreadsheet-based reporting and intuitive judgment, limiting the effectiveness and timeliness of data-driven decision making. This study aims to examine how Business Intelligence dashboards integrating Python and Power BI can enhance operational decision-making performance in Indonesian retail-sector micro, small, and medium enterprises. Using a quantitative descriptive approach, the study analyzes secondary data from the Grocery Store Sales Dataset (2025) obtained from the Kaggle open-source platform. A total of 1,980 transaction records were processed to simulate typical operational decision-making scenarios commonly faced by retail enterprises. In the baseline condition, decision making was conducted using conventional spreadsheet summaries without automated analytics or real-time visualization. Python was employed for data preprocessing, transformation, and key performance indicator computation, while Power BI was used to develop an interactive Business Intelligence dashboard. Descriptive statistical analysis and scenario-based simulations were conducted to compare decision-making efficiency and accuracy before and after dashboard implementation. The results indicate that the proposed Business Intelligence approach reduced average decision-making time by 36.36 percent, improved information accuracy by 41.18 percent, and accelerated strategic planning speed by 40 percent. These findings demonstrate that integrating Python-based analytics with Business Intelligence dashboards offers a low-cost, scalable, and effective solution to support data-driven managerial practices and strengthen the digital readiness of Indonesian micro, small, and medium enterprises.
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