The use of e-learning to increase student innovation in technopreneurship

Vidy,; Hardi, Richki; Yamani,; Alimyaningtias, Wahyu Nur

doi:10.1063/5.0106994

Cited by 1 publication

(1 citation statement)

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“…Fuzzy AHP extends the conventional AHP methodology by allowing decision-makers to express their preferences in linguistic terms, thereby capturing the nuances and imprecisions inherent in subjective assessments [16]. This, in turn, enables a more accurate representation of the evaluation process, accounting for the varying degrees of satisfaction with each criterion [17].…”

Section: Introductionmentioning

confidence: 99%

Employing Fuzzy AHP in Modeling a Decision Support System for Determining Scholarship Recipients within the University Context

Mundzir,

Zulkarnain,

Hardi

2023

JMM

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In the realm of university scholarship programs, the process of selecting deserving recipients presents a complex decision-making challenge. This study explores the integration of Fuzzy Analytical Hierarchy Process (AHP) into the modeling of a Decision Support System (DSS) aimed at facilitating the determination of scholarship awardees. The utilization of Fuzzy AHP enables a more comprehensive and nuanced evaluation of candidates by accommodating uncertainties and imprecisions inherent in the decision-making process. This research investigates the application of Fuzzy AHP within the specific context of university scholarship recipient selection. The proposed DSS framework not only enhances the objectivity and transparency of the decision-making process but also contributes to the optimization of resource allocation and the identification of candidates best aligned with the scholarship's objectives. By employing Fuzzy AHP in this decision-support context, universities can effectively address the intricate considerations involved in awarding scholarships, thereby promoting fairness and increasing the likelihood of rewarding the most deserving individuals.

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Section: Introductionmentioning

confidence: 99%