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All Journal (JUMPER) Jurnal Pengabdian Cendekia
Masthuroh
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Religion Humanities Civil Engineering, Building, Construction & Architecture Economics, Econometrics & Finance Education Health Professions Social Sciences

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MSME Empowerment through the Mukbang (Helping MSMEs Rise) Program: Case Study of Grandma Neng Agus Purnomo; Masthuroh; Nety Kumalasari; Amelia Anwar; Muhammad Hafidz Khusnadin
Jurnal Pengabdian Cendekia Vol. 1 No. 2 (2025): Edisi Agustus
Publisher : PT Pustaka Cendekia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71417/jpc.v1i2.20

Abstract

The Mukbang program implemented at Pasar Kertapati, Palembang, aims to empower Micro, Small, and Medium Enterprises (MSMEs) by addressing key challenges in enhancing product visibility through more effective branding and marketing strategies. This study employs a qualitative descriptive case study approach, featuring the participation of Grandma Neng, a traditional vendor, in the program. The findings indicate significant improvements in product appeal and customer engagement, driven by interventions that included packaging enhancements, provision of promotional materials, and skills training sessions. While these positive results highlight the success of community-based approaches, the study also acknowledges limitations in terms of generalizability due to its focus on a single case. Future research is recommended to expand the program to include a broader range of MSMEs across different locations and to incorporate basic digital marketing training to enhance MSMEs' adaptability to changing market needs. These findings are expected to contribute to a broader discourse on MSME empowerment and economic development in Indonesia.
Human Resource Analytics and Data-Driven Decision Making: Implications for Talent Acquisition and Retention Strategies Syamsulbahri; Putranto, Samuel Aditya Eko; Hakim; Masthuroh
Journal Management & Economics Review (JUMPER) Vol. 3 No. 8 (2026): On Progress
Publisher : Malaqbi Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59971/jumper.v3i8.875

Abstract

The increasing availability of workforce data and advanced analytical tools has transformed the role of human resource management from a primarily administrative function into a strategic, evidence-based discipline. This study investigates the influence of human resource analytics (HRA) on data-driven decision making (DDDM) and examines its implications for talent acquisition and talent retention strategies. Employing a quantitative research design, data were collected through a structured questionnaire from 296 HR managers and senior decision makers across medium and large organizations. The data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results reveal that human resource analytics has a significant positive effect on data-driven decision making, talent acquisition, and talent retention. Furthermore, data-driven decision making significantly enhances both talent acquisition effectiveness and talent retention outcomes and partially mediates the relationships between human resource analytics and the two talent management outcomes. These findings provide empirical evidence that analytics-driven HR practices improve recruitment efficiency, quality of hire, and employee retention by enabling more accurate and proactive HR decisions. The study contributes to the growing literature on HR analytics by clarifying the mechanisms through which analytics creates value in talent management and offers practical insights for organizations seeking to leverage data-driven approaches to achieve sustainable human capital advantages.
Co-Authors Agus Purnomo Anwar, Amelia Hakim Kumalasari, Nety Muhammad Hafidz Khusnadin Putranto, Samuel Aditya Eko Syamsulbahri