Improving lecturers’ evaluation score by using analytic hierarchy process (AHP): a case at universiti kuala lumpur

Saaludin, Nurashikin; Ismail, Mohd Hafizul; Mat, Basyirah Che; Harun, Suriyati

doi:10.11591/ijeecs.v15.i1.pp391-398

Cited by 3 publications

(3 citation statements)

References 13 publications

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“…It signifies that the judgement by the panel of experts was reliable as per stated by Saaty (2008). So, the criteria weightage produced by the panel of experts were viewed as valid and parallel with past researches done by Saaludin et al (2019) and Talib, Rahman, & Qureshi (2011).…”

Section: R E S U L T Ssupporting

confidence: 52%

Application of the Analytic Hierarchy (Ahp) Process for Evaluating Student Representative Committee (Src) Leadership Criteria

Saaludin

Ismail²,

Abidin³

et al. 2020

Asia Pr soc sci

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Higher learning institutions play an important role in producing future talents as it does not only equip the students with knowledge but also inculcates value-added skills such as leadership skill. The skills are needed to prepare themselves for the overcoming challenge after graduated. The involvement as a Student Representative Committee (SRC) is a good starting point for producing future leader as students get involved in various activities and decision-making process. The SRC is responsible for representing the voice of students community, especially related to the academic, welfare and co-curricular activities. Thus, the right selection of the SRC candidates is crucial as it will reflect universities’ good governance. This study wishes to gather the perceptions of students community towards SRC leadership criteria and look into the dominant criteria through the Analytic Hierarchy Process (AHP) method. The study was conducted at Universiti Kuala Lumpur. The results revealed that the students community hope for the SRC members who have leadership talents such as good in Communication, Well-organised, Passionate, Creative, Commitment, Team-player and Visionary. By using AHP, Commitment, Passionate and Well-organised contributed to the highest weightage that indicated such criteria are important to be considered in the SRC selection process.

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Section: R E S U L T Ssupporting

confidence: 52%

Application of the Analytic Hierarchy (Ahp) Process for Evaluating Student Representative Committee (Src) Leadership Criteria

Saaludin

Ismail²,

Abidin³

et al. 2020

Asia Pr soc sci

Self Cite

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“…The study conducted by Saaludin et al [28] had the objective of improving the evaluation of teachers through the analytical hierarchy process (AHP). In the same way, the AHP can be implemented in regular basic education in order to improve the evaluation score of teachers, always bearing in mind that the quality of regular basic education in Peru is determined by skills, experience, and many other academic competencies.…”

Section: Resultsmentioning

confidence: 99%

Technology in the educational processes of basic education in Peru

León-Velarde

Vega-Infantas²,

Gavino-Ramos³

et al. 2023

IJERE

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This research project aimed to give a perspective on the implementation of technologies in basic education in Peru. How the automation of basic education processes in Peru helps students, parents, teachers, and administrative staff to reduce time, to have better educational quality, and to obtain indicators for the teacher and student. The methodology of the research is a sequence of activities that allow us to design a framework for process technologies in basic education in Peru. Based on online surveys, it was possible to obtain information from people who want a change in the processes of education, such as: having more reach to information with the help of the internet for which mobile applications or web applications are needed, the delivery of evaluations and enrolment via online, taking advantage of technology for the benefit of the student and teachers, and other processes. The research has a qualitative approach. It is also descriptive in scope with the help of other studies or tests conducted. For the creation of this article, we used surveys, scientific journals, and our own experience as practitioners. If we want to improve education, it is necessary to improve educational processes with the help of technology and the internet.

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“…AHP method is used to help solve multi-criteria problems from several alternative decisions [31][32][33]. AHP method solves the problem by breaking the problem into several parts so that it forms a hierarchy of three parts of objectives, criteria and alternatives [34,35]. To get better results, AHP is combined with other techniques such as Fuzzy logic [36].…”

Section: Figure 3 Hierarchy Of Purpose Selection Best Algorithmmentioning

confidence: 99%

Data mining, fuzzy AHP and TOPSIS for optimizing taxpayer supervision

Jupri

Sarno

2020

IJEECS

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The achievement of accepting optimal tax need effective and efficient tax supervision can be achieved by classifying taxpayer compliance to tax regulations. Considering this issue, this paper proposes the classification of taxpayer compliance using data mining algorithms; i.e. C4.5, Support Vector Machine, K-Nearest Neighbor, Naive Bayes, and Multilayer Perceptron based on the compliance of taxpayer data. The taxpayer compliance can be classified into four classes, which are (1) formal and material compliant taxpayers, (2) formal compliant taxpayers, (3) material compliant taxpayers, and (4) formal and material non-compliant taxpayers. Furthermore, the results of data mining algorithms are compared by using Fuzzy AHP and TOPSIS to determine the best performance classification based on the criteria of Accuracy, F-Score, and Time required. Selection of the taxpayer's priority for more detailed supervision at each level of taxpayer compliance is ranked using Fuzzy AHP and TOPSIS based on criteria of dataset variables. The results show that C4.5 is the best performance classification and achieves preference value of 0.998; whereas the MLP algorithm results from the lowest preference value of 0.131. Alternative taxpayer A233 is the top priority taxpayer with a preference value of 0.433; whereas alternative taxpayer A051 is the lowest priority taxpayer with a preference value of 0.036.

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Improving lecturers’ evaluation score by using analytic hierarchy process (AHP): a case at universiti kuala lumpur

Cited by 3 publications

References 13 publications

Application of the Analytic Hierarchy (Ahp) Process for Evaluating Student Representative Committee (Src) Leadership Criteria

Application of the Analytic Hierarchy (Ahp) Process for Evaluating Student Representative Committee (Src) Leadership Criteria

Technology in the educational processes of basic education in Peru

Data mining, fuzzy AHP and TOPSIS for optimizing taxpayer supervision

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