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Business Development Strategy of Lumindai Palm Sugar Home Industry with BMC and SWOT Approach Zain, Elvita Putri; Azrifirwan; Permata, Deivy Andhika
AJARCDE (Asian Journal of Applied Research for Community Development and Empowerment) Vol. 8 No. 3 (2024)
Publisher : Asia Pacific Network for Sustainable Agriculture, Food and Energy (SAFE-Network)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29165/ajarcde.v8i3.473

Abstract

This study aims to analyze and develop a business strategy of the lumindai palm sugar industry in Sawahlunto City, Indonesia by combining BMC and SWOT approaches. To identify the industry, a BMC mapping is initially performed. The results from the BMC serve as inputs for categorizing business development elements. These elements are then divided into four SWOT categories: Strengths, Weaknesses, Opportunities, and Threats. Each factor within these categories is evaluated and assigned a value, followed by an analysis using IFE and EFE. The IFE analysis yields a score of 3.045, indicating strong internal capital for industry development. Conversely, the EFE score of 2.636 suggests that the industry's external conditions are moderate. The IFE and EFE results then serve as a basis for formulating relevant strategies using the IE matrix. According to the IE matrix, the industry falls into cell IV, placing it in the Grow and Build position. This position is used to develop detailed strategic specifications in the SWOT matrix, which provides actionable insights for industry growth.
OPTIMASI PROSES BLEACHING TANDAN KOSONG KELAPA SAWIT DENGAN RESPON ALKALI PEROKSIDA DAN SUHU Khairiyah, Nurul; Permata, Deivy Andhika; Azrifirwan
Jurnal Teknologi Pertanian Andalas Vol 29 No 2 (2025)
Publisher : Universitas Andalas

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Abstract

Empty oil palm fruit bunches (OPEFB) are an agro-industrial waste with a high cellulose content, but lignin is a constraint in their utilization. This study aims to examine the optimal alkali peroxide concentration and temperature in the OPEFB bleaching process. This study uses Response Surface Methodology (RSM) with Central Composite Design (CCD). The research factor include the concentration of NaOH, H₂O₂, and bleaching temperature, with responses of yield, water content, ash content, whiteness degree, and Kappa number. The results showed that the research factors influenced the observed response. RSM provided an optimum combination solution at a concentration of 9.35% NaOH, 31.50% H₂O₂, and a temperature of 84.35°C, with a desirability of 0.789.