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Model for evaluating the performance of elementary school teachers using the analytical hierarchy process Sri Wiyati Mahrani; Desty Endrawati Subroto; Moh. Gifari Sono; Herman Titop; Tukiyo Tukiyo
Jurnal Mantik Vol. 6 No. 4 (2023): February: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.v6i4.3528

Abstract

The significance of analyzing teacher performance in order to develop future competency, which might lead to rewarding teachers who have been evaluated according to established assessment criteria. Numerous studies have been conducted to aid in the process of evaluating teacher performance, revealing that the problem of evaluating teacher performance involves multi-attribute decision making problems; therefore, this study aims to use the AHP method as a decision support method due to the benefits of AHP in describing the relationship between criteria, attributes, and alternatives via a decision hierarchy structure. The evaluation standards include Discipline (C1), Service Orientation (C2), Integrity (C3), and Cooperation (C4) (C4). The results demonstrated that there are recommendations for decision results, namely determining the priority weight of the criteria so that the value of each alternative can be maximized in each criterion, with assessment techniques tailored to the existing business processes in each school. The determination of objective criteria priority weights can also influence the final ranking results of the evaluation of elementary school teachers' performance.
Simple additive weighting for online platform evaluations in small business Niar Astaginy; Moh. Gifari Sono; Sri Purwati; Tanti Widia Nurdiani; Ghalib Suprianto
Jurnal Mantik Vol. 6 No. 4 (2023): February: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.v6i4.3529

Abstract

Choosing the appropriate online selling platform as a small or medium-sized firm (SME) can help grow sales and expand customer base. Using decision-making approaches with the Simple Additive Weighting (SAW) method, you can select the greatest option among multiple alternatives while selecting the best sales platform. This research aims to assist MSMEs in evaluating and assessing online sales platforms based on the assessment criteria of Average transactions (C1), Unsuccessful transactions (C2), Transaction time (C3), Ease of use of the application (C4), Application errors (C5), and Satisfaction in usage features (C6). The results indicated that alternative A4, Instagram, was the greatest alternative online sales platform, followed by alternative A2, Go Food, as the second-ranking alternative, alternative A3, Grab Food, as the third-ranking alternative, and alternative A1, WhatsApp, as the fourth-ranking alternative. Analysis of the final results can be explained by the tendency of the most prioritized criteria with high criteria weight values, namely the average transaction criteria (C1), ease of use (C4), and application user feature satisfaction (C6), to influence the final results of alternative ranking; the final results of ranking can certainly serve as an alternative option for MSME decisions regarding the selection of online sales platforms.