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ANALYTIC HIERARCHY PROCESS FOR DETERMINATION OF DECISION MAKING IN THE SELECTION OF CONTRACTORS Iman Nurjaman; Rully Andika Listyantoko
Industry Xplore Vol 8 No 1 (2023): Industry Xplore
Publisher : Lembaga Penelitian dan Pengabdian pada Masyarakat, Universitas Buana Perjuangan Karawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36805/teknikindustri.v8i1.5104

Abstract

Decision making at top management is a strategic issue, this affects and becomes one of the determining factors for success for the company. The selection of contractors is one way to make decisions, the method that is widely used in decision making is the Analytic Hierarchy Process (AHP) method, although this method is very old, this method is still widely used, because AHP is one of the popular decision-making methods for decision making. multi-criteria (MCDM), by taking a case study in a well-known palm oil company headquartered in Jakarta (Indonesia). The results of the criteria score are consistent with 0.002 and in the final selection of the first ranked alternative there are 3 (three) contractors with the best score of 25% who excel in Pre-Qualification and Commercial Criteria testing, with this method the company is expected to be able to choose the right contractor for business partners and smooth operations.
Optimization of Oyster Mushroom Business Development Through SWOT and QSPM Iman Nurjaman; Sandi Sandi; Bramantiyo Eko Putro
Jurnal INTECH Teknik Industri Universitas Serang Raya Vol. 11 No. 2 (2025): December
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/intech.v11i2.11116

Abstract

This research was conducted at CV. Asa Agro Corporation, Cianjur, West Java, Indonesia, is a region with optimal climatic conditions for oyster mushroom cultivation. Despite the sector's potential, challenges such as product quality instability and fluctuating productivity hinder business growth. This research employs an integrated SWOT analysis strengthened by IFAS, EFAS matrices, and Quantitative Strategic Planning Matrix (QSPM) to systematically identify critical internal and external factors and formulate prioritized strategies. Unlike previous studies that predominantly rely on descriptive SWOT frameworks, this research integrates quantitative weightings and empirical prioritization through QSPM, thereby addressing a significant methodological gap in mushroom agribusiness decision-support literature and enhancing objectivity in managerial strategy formulation. Data were gathered through structured questionnaires, field observations, and secondary reports from 30 purposively selected respondents. This analysis revealed strong internal factors, including strategic location and superior spawn quality (IFAS score 2.95). In addition, there are several significant external opportunities, such as increasing consumer health awareness and government support (EFAS score 2.78). The positive relationship between time and production (r = 0.95; p < 0.05) suggests a trend of steady expansion from 2020 to 2024. This quantitative integration allows for measurable improvement in strategic decision-making precision, with QSPM scores providing clear prioritization metrics (SO strategy: 3.2; WO: 3.1; ST: 3.0; WT: 2.6). This study offers SO strategies with a QSPM score of 3.2 by utilizing strategic priorities and quantitative approaches to optimize long-term sustainable competitive advantages in the oyster mushroom agricultural sector.