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Mutiara Dela
Program Studi Manajemen, Fakultas Ekonomi Dan Bisnis, Universitas Putra Indonesia YPTK Padang
Economics, Econometrics & Finance Engineering

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Penerapan Inovasi Produk Dalam Meningkatkan Daya Saing Mie Pedas Meleleh Gunung Pangilun Kota Padang Adiprana Mahendra; Mutiara Dela; Danda Febrizal; Sigit Sanjaya
Jurnal Ekonomi dan Bisnis Digital Vol. 3 No. 1 (2025): Juli - September
Publisher : CV. ITTC INDONESIA

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Abstract

This study aims to enhance the competitiveness of the "Mie Pedas Meleleh" business in Gunung Pangilun, Padang City, through product innovation implementation. The challenges faced by the partner include limited product variations, weak brand identity, and suboptimal digital marketing. Activities were conducted through participatory-based socialization and training for the business owner. The results showed the development of new product variants, improved packaging quality, and increased knowledge and skills in branding and digital marketing. The implemented product innovation successfully attracted the younger market and opened opportunities for market expansion through digital platforms. This activity is expected to serve as a sustainable innovation-based development model for MSMEs.
Penerapan Artificial Intelligence Dalam Human Resource Management Di Cafe Shelter Ground Mutiara Dela; Prayuda Wibawa; Dani Reka Putra; Reski Valent; Vivi Nila Sari
Jurnal Ekonomi dan Bisnis Digital Vol. 3 No. 3 (2026): Januari - Maret
Publisher : CV. ITTC INDONESIA

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This study aims to analyze the implementation of Artificial Intelligence (AI) in Human Resource Management (HRM at Cafe Shelter Ground. The application of AI technology in human resource management is considered capable of improving efficiency, accuracy, and the quality of managerial decision-making. This research employs a qualitative approach using a case study method. Data were collected through observation, in-depth interviews with management, and documentation related to HR management processes. The findings indicate that the implementation of AI in HRM functions, particularly in recruitment, work scheduling, and employee performance evaluation, has a positive impact on work effectiveness and workforce management. However, challenges remain, including limited technological understanding and the need for system adaptation to the characteristics of a medium-scale business. Therefore, a well-planned AI implementation strategy is required to optimize the use of this technology in supporting human resource management at Cafe Shelter Ground.
Co-Authors Adiprana Mahendra Danda Febrizal Dani Reka Putra Prayuda Wibawa Reski Valent Sigit Sanjaya Vivi Nila Sari