Claim Missing Document
Check
Articles

Found 2 Documents
Search

SWOT-Based Strategic Development for Enhancing MSMEs Digital Marketing Performance in Banda Aceh Meutia Fadilla; Hazful Maizi; Friesca Erwan
Applied Information System and Management (AISM) Vol. 9 No. 1 (2026): Applied Information System and Management (AISM)
Publisher : Depart. of Information Systems, FST, UIN Syarif Hidayatullah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/aism.v9i1.50364

Abstract

This study identifies the internal and external factors influencing the digital marketing performance of Micro, Small, and Medium Enterprises (MSMEs) in Banda Aceh to formulate a context-based strategic roadmap for improving digital competitiveness. The research addresses a gap left by previous studies, which focused primarily on individual platform use and sales outcomes, overlooking digital capability management as an applied information systems issue. Using a descriptive qualitative approach, the study involved 9 MSME owners from the culinary, fashion, and service sectors, selected through purposive sampling. Data were collected through semi-structured interviews, digital content observations, marketplace platforms, and document reviews. The analysis used thematic coding consisting of open, axial, and selective coding, with results mapped into a SWOT matrix. Findings indicate that the primary strengths lie in cultural storytelling, adaptability to trends, and customer loyalty. At the same time, the weaknesses include unstructured content management, weak visual branding, limited understanding of analytics, and low cybersecurity awareness. Externally, opportunities arise from government training and digital payment adoption, whereas threats include algorithmic changes and account security risks. The study contributes by repositioning digital marketing as a digital capability management problem and providing strategic guidance for MSME owners, local governments, and supporting institutions to foster sustainable digital transformation in regional contexts. 
Clustering Analysis of Patchouli Plantations for Sustainable Patchouli Oil Supply Chain Using K-Means Algorithm Hazful Maizi; Prima Denny Sentia; Geta Ambartiasari; Friesca Erwan
Journal of Applied Engineering and Technological Science (JAETS) Vol. 7 No. 1 (2025): Journal of Applied Engineering and Technological Science (JAETS)
Publisher : Yayasan Riset dan Pengembangan Intelektual (YRPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37385/jaets.v7i1.7188

Abstract

Growing demand for patchouli oil has undoubtedly become an opportunity for the patchouli industry, particularly in Aceh, which supplies about 80% of Indonesia’s patchouli oil in the global supply chain system. However, the opportunity is often misguided by farmers and even the government, which implements various programs related to patchouli cultivation without identifying the potential land that is suitable to be used for it. The condition indicated that not every land is suitable for patchouli cultivation. Thus, it is necessary to cluster the distribution of existing patchouli plantations. The clustering aims to identify the existing patchouli plantations that have the potential for replication. This study uses the K-Means method that combines variables (the planting land, the harvesting land, and total production) to provide information on the plantation’s potential scale in each region. The clustering measurement pointed out that the plantation in South Aceh Regency has the most potential land for sustainable cultivation, followed by several other areas included in Cluster 2 and Cluster 3. The study’s result is essential in contributing significantly to optimizing patchouli cultivation management sustainability to fulfill Aceh Province’s role as the best quality patchouli oil supplier.