Analisis Manajemen Digital Marketing Berdasarkan Internal Factor Analysis Summary (IFAS) Dan External Factor Analysis Summary (EFAS) Pada Arba Digital Global
Original Full-Text Article
Download published version for reading and archivingAbstract
This study analyzes the digital marketing management of Arba Digital Global by mapping internal and external factors using the Internal Factor Analysis Summary (IFAS) and External Factor Analysis Summary (EFAS), focusing on the marketing of geronggang oil products through marketplaces. A descriptive qualitative approach with a case study design was employed. Initial data were obtained through observations of the Shopee store display, documentation of account appearances, identification of promotional activities, and strategic assessments of strengths, weaknesses, opportunities, and threats. The mapping results indicated an internal strength of 1.74 and a weakness of 1.02, yielding an IFAS score of 2.76 with an internal coordinate of +0.72. For external factors, opportunities were valued at 1.92 and threats at 0.84, resulting in an EFAS score of 2.76 with an external coordinate of +1.08. This positioning places Arba Digital Global in Quadrant I (Growth/Progressive), recommending an SO strategy. Priorities for digital marketing management include enhancing social commerce, optimizing video content, utilizing affiliates, developing CRM, diversifying product bundling, and employing analytics to measure performance.
Author Biographies
Program Studi Administrasi Niaga, Politeknik Negeri Bengkalis, Kabupaten Bengkalis, Provinsi Riau, Indonesia.
Program Studi Teknik Mesin, Politeknik Negeri Bengkalis, Kabupaten Bengkalis, Provinsi Riau, Indonesia.
Program Studi Administrasi Niaga, Politeknik Negeri Bengkalis, Kabupaten Bengkalis, Provinsi Riau, Indonesia.
Program Studi Teknik Informatika, Politeknik Negeri Bengkalis, Kabupaten Bengkalis, Provinsi Riau, Indonesia.
Program Studi Teknik Mesin, Politeknik Negeri Bengkalis, Kabupaten Bengkalis, Provinsi Riau, Indonesia.
Program Studi Teknik Mesin, Politeknik Negeri Bengkalis, Kabupaten Bengkalis, Provinsi Riau, Indonesia.
How to Cite
This work is licensed under a Copyright (c) 2026 Muhammad Arif, Abdul Gafur, Endang Sri Wahyuni , Supria, Rahmat Fajrul , Agnes Arum Budiana .
This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License .
- Share: You are free to copy, distribute, and transmit the work in any medium or format.
- Adapt: You are free to remix, transform, and build upon the work for any purpose, even commercially.
- Attribution: You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
References
Total: 21 References- Affandi, F. Z., Murfid, R. F., Pratama, R., Furghoni, D., & Sihombing, S. (2026). SWOT analysis with IFAS-EFAS approach: A case study of human resource management at Indonesian Customs and Excise. Journal of Social Research, 5(3). https://doi.org/10.55324/josr.v5i3.3074
- Agustina, A., Ambarwati, R., & Sari, H. M. K. (2024). Social media as digital marketing tool in MSME: A systematic literature review. Jurnal Maksipreneur, 13(1). https://doi.org/10.30588/jmp.v13i1.1534
- Arif, M. (2025). Membangun citra bisnis: Pembuatan profil dan katalog produk UMKM pada UMKM binaan PT. PHR di Kabupaten Rokan Hilir. Tanjak: Jurnal Pengabdian Kepada Masyarakat, 6(1), 22–28. https://doi.org/10.35314/t7jgdq04
- Arif, M., & Nosa, M. R. (2026). Feasibility study usaha Gerai Umah Oleh-Oleh Bagansiapiapi binaan PT PHR dan Polbeng: Peluang, tantangan, dan strategi pengembangan. Jurnal EMT KITA, 10(2), 588–593. https://doi.org/10.35870/emt.v10i2.5686
- Arif, M., Fiddin, F., Rahmani, N., & Triyono, W. (2025). Digitalisasi bisnis dengan pendekatan solusi mobile: Meningkatkan keberlanjutan dan daya saing usaha pada Koperasi Konsumen Politeknik Negeri Bengkalis. Tanjak: Jurnal Pengabdian Kepada Masyarakat, 6(2), 364–369. https://doi.org/10.35314/vz53vs20
Similar Articles
Articles sharing related keywords and machine learning classifications:
Most read articles by the same author(s)
Other papers published by author(s) in this journal: