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All Journal Jurnal Kabar Masyarakat Stability: Journal of Management and Business
Hasan Aminda Syafrudin
Universitas Telogorejo Semarang
Education Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences

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WHEN RESOURCES ARE NOT ENOUGH: LOCAL KNOWLEDGE AS A KEY DRIVER OF SME’s PERFORMANCE Ahmad Hafiyyan Shibghatalloh; Arisanti Ayu Wardhani; Hasan Aminda Syafrudin; Achmad Solechan; Albertus Setyo Sumargo; Lubertus Wahyu Priyo Dwiantoro
STABILITY : Journal of Management and Business Vol. 8 No. 2 (2025): Vol 8 No 2 (2025)
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/yp5crx85

Abstract

This study aims to examine the relationships between resources, local knowledge, and SME’s performance by integrating the Resource-Based View and Knowledge-Based View perspectives. A quantitative cross-sectional approach was employed using primary data collected through a structured questionnaire. The study was conducted among batik MSMEs in Pekalongan, Central Java, Indonesia. A purposive sampling technique was applied with specific criteria. A total of 100 MSMEs were selected as the research sample. Data analysis was carried out using (PLS-SEM) with SmartPLS. The results show that resources do not have a significant direct effect on MSME performance, indicating that resource availability alone is insufficient to improve business outcomes. However, resources have a significant positive effect on local knowledge, and local knowledge significantly influences MSME performance. Furthermore, the mediation analysis confirms that local knowledge fully mediates the relationship between resources and MSME performance.
FINANCIAL RISK MANAGEMENT: EVALUATING DATA IMPUTATION STRATEGIES FOR ACCURATE CREDITWORTHINESS PREDICTIONS Rina Dyah Wahyuningsih; Hasan Aminda Syafrudin
STABILITY : Journal of Management and Business Vol. 9 No. 1 (2026)
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/vw6bnh14

Abstract

Predicting creditworthiness is crucial for mitigating loan risks, but missing data and extreme outliers often compromise model accuracy. This study evaluates the impact of data imputation quality on financial credit predictions using the K-Nearest Neighbor algorithm. Utilizing a Finance Loan Approval dataset of 614 records, this research compared four imputation methods: Mean, Median, Linear Interpolation, and KNN Imputer. The results demonstrate that outlier-robust imputation methods significantly enhance predictive integrity. Median and Linear Interpolation achieved the highest accuracy of 85.37% and an F1-Score of 90.32% by maintaining the spatial distances essential for the algorithm. Conversely, Mean imputation produced the lowest accuracy of 83.71% due to distortions from extreme income anomalies. Furthermore, the evaluation exposed algorithmic bias driven by class imbalance. The model achieved a near-perfect Recall of 99% but struggled with a lower Precision of 83%, indicating a high rate of false positives. In conclusion, while robust imputation strategies restore data structure and optimize accuracy, they cannot resolve class imbalance biases. Future scoring systems must integrate outlier-resistant imputation with advanced resampling techniques to improve precision and mitigate financial risks.
Pendampingan Pengembangan Brand Identity UMKM Berbasis Design Thinking untuk Meningkatkan Daya Saing Digital di Wilayah Klipang, Semarang Lubertus Wahyu Prio Dwiantoro; Achmad Solechan; Hasan Aminda Syafrudin; Anna Erlina Christianti; Rina Dyah Wahyuningsih; Albertus Setyo Sumargo
Jurnal Kabar Masyarakat Vol. 4 No. 3 (2026): Agustus: JURNAL KABAR MASYARAKAT
Publisher : Institut Teknologi dan Bisnis Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54066/jkb.v4i3.4885

Abstract

The development of the digital economy has intensified competition among Micro, Small, and Medium Enterprises (MSMEs), making the ability to establish a strong brand identity an essential factor in improving business competitiveness. However, many MSMEs in Klipang, Sendangmulyo Sub-district, Semarang City, still face challenges in developing professional visual identities, including limited knowledge of branding concepts, the absence of representative logos, and inconsistent application of visual elements in digital promotional media. This community service program aims to enhance the capacity of MSME actors in designing logos and developing brand identity through a Design Thinking approach as a strategy to strengthen business competitiveness in the digital economy era. The program was implemented using the Design Thinking framework, consisting of five stages: Empathize, Define, Ideate, Prototype, and Test. These stages were carried out through field observations, identification of MSME branding needs, brand concept exploration workshops, logo design training, brand story development assistance, and evaluation of visual identity implementation in digital promotional platforms. The target participants were 30 MSME actors in Klipang from various business sectors, including culinary, fashion, handicrafts, services, and trading. The results indicate that the Design Thinking approach successfully facilitated the development of structured visual identities for MSMEs through the creation of primary logos, alternative logos, monochrome versions, and transparent versions for each participant. Furthermore, the program improved participants’ understanding of brand identity, brand story development, and digital branding implementation to support marketing activities. The participatory process throughout the Design Thinking stages encouraged active involvement among MSME actors, resulting in brand identities that better represent the characteristics and values of their businesses. This community service activity demonstrates that Design Thinking can serve as an effective user-centered framework for MSME branding assistance, supporting the improvement of business readiness and competitiveness in the digital economy ecosystem.
Co-Authors Achmad Solechan Albertus Setyo Sumargo Anna Erlina Christianti Arisanti Ayu Wardhani Lubertus Wahyu Prio Dwiantoro Lubertus Wahyu Priyo Dwiantoro Rina Dyah Wahyuningsih Shibghatalloh, Ahmad Hafiyyan