Support System for Determination of Low-Income Students Scholarship (BSM) with Technique for Order Preference by Similarity to Ideal Solution (TOPSIS)

Azis, Abdul; Kusuma, Bagus Adhi; Maselia, Alfika

doi:10.47738/ijiis.v3i1.2

Cited by 4 publications

(4 citation statements)

References 2 publications

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“…There are some important similarities between correlation and regression. These statistical methods determine the strength and direction of the relationship between two numeric variables [21,22]. It is worth noting that when the correlation (represented by the letter "r") is negative, this means that the regression slope (represented by the letter "b") will also be negative.…”

Section: Results Of the Delphi Techniquementioning

confidence: 99%

Utilizing the Delphi Technique to Develop a Self-Regulated Learning Model

2023

J. Appl. Data Sci.

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This study combines learning process theories within the context of data science education in Sichuan Province, China, and develops a customized instructional model for the self-regulated International Higher Education (IHE) Model. In collaboration with 17 experts, selected through purposive sampling, and involving 100 instructors within Sichuan, China, this research explores an instructional model designed to foster selfregulated learning in the field of data science. The Delphi data collection method is employed to investigate the relevance of various learning theories within international higher education in Sichuan Province, China, with a specific emphasis on the data science discipline. The Self-Regulated Learning in International Higher Education (SLR-IHE) model, informed by survey questionnaires, addresses pertinent challenges encountered in data science education, including issues related to English language proficiency, faculty training, curriculum development, faculty mobility, cross-border regulations, and funding constraints. The findings of this study lead to the development of an International Higher Education (IHE) Model for Sichuan Province, China, using the Delphi Technique, which consists of four distinct instructional modules. Through a linear regression analysis of the SLR-IHE model, it becomes evident that the self-regulated learning process in data science education comprises four essential stages, each contributing to the acquisition of distinct goals. These stages include: (1) activating prior knowledge; (2) fostering idea exchange and iterative improvement; (3) building organizational knowledge through understanding, memorization, analysis, and transfer; and (4) generating innovative ideas through reflexive thinking and initiating creative thought processes. These stages collectively support the achievement of specific goals associated with Self-Managed Learning (SML), Self-Regulated Learning (SRL), Self-Paced Learning (SPL), and Self-Directed Learning (SDL) in the context of data science education. This comprehensive instructional model for data science education within the framework of international higher education development in Sichuan Province, China, emphasizes globalization, collaborative efforts, and economic growth as key drivers for enhancing the quality of education in the field of data science.

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Section: Results Of the Delphi Techniquementioning

confidence: 99%

Utilizing the Delphi Technique to Develop a Self-Regulated Learning Model

2023

J. Appl. Data Sci.

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“…For example, with the help of specific software (Hsueh, 2018 ; Hananto, 2021 ) or algorithms (Astuti and Handoko, 2018 ; Imron and Kusumah, 2018 ), educators could identify and target the students who hold high materialism through, as well as predicting the likelihood of them starting a business in the future through machine learning (Jen and Lin, 2021 ; Prayitno et al, 2021 ; Saputro and Nanang, 2021 ; Sugiyanto, 2021 ). And then, entrepreneurial education programs could provide them with decision support systems (Azis et al, 2020 ; Fujishima, 2022 ), e-learning classes (Widiyanto et al, 2021 ), and customized training plans (Thelen, 2021 ) to improve their achievement motivation and enhance attitudes and skills regarding entrepreneurship.…”

Section: Discussionmentioning

confidence: 99%

Materialism Predicts College Students' Entrepreneurial Intention: A Serial Mediation Model

Zhang

2022

Front. Psychol.

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Entrepreneurship is perceived as a critical pillar for unemployment alleviation and economic growth, especially in the era of COVID-19, which highlights the importance of the entrepreneurial potential of college students. The current research focused on the role of personal values in the entrepreneurial process and investigated the relationship between materialism and entrepreneurial intention among college students. Few studies have been examined this relationship, and the underlying mechanisms were also not identified. From the perspective of personal value, we hypothesized that materialism could positively predict entrepreneurial intention. Moreover, based on McClelland's theory of need for achievement and the theory of planned behavior, a serial mediation model, with achievement motivation and entrepreneurial attitude as the mediators, was proposed. We conducted a correlational study on a sample of 1,002 Chinese university students to examine our hypotheses. They participated in an online survey and completed the measurement of entrepreneurial intention, entrepreneurial attitude, materialism, and achievement motivation. The hypothesized models were examined through serial mediation bootstrapping procedures. The results showed that materialism positively predicted college students' entrepreneurial intention, and this relationship was serially mediated through achievement motivation and entrepreneurial attitude. Materialism boosted college students' achievement motivation, which in turn was associated with a more positive entrepreneurial attitude and subsequently stronger entrepreneurial intention. The present research is the first to empirically examine this association's mechanism and establish a serial mediation involving achievement motivation and entrepreneurial attitude. For the theoretical contribution, the present research provides a more comprehensive picture of the role of personal values in entrepreneurship by complementing the effect of materialism. And regarding the practical implications, the present research implies the silver lining of materialism and points out a possible way to enhance college students' entrepreneurial intention, i.e., entrepreneurial education could take advantage of the characteristics of materialism and transform the “harmful” value into socially beneficial entrepreneurial intentions through enhancing their achievement motivation and positive attitude toward entrepreneurship.

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“…The numerical computations involved in the TOPSIS method have been discussed and explained in many published studies including Kumar and Singh [16], Azis et al [17], and Jasri et al [18]. It should be noted that although some small variations for the computations can be found between these studies such as the inclusion of importance weighting for the evaluation criteria, the fundamental of the TOPSIS method in ranking alternative solutions remains similar.…”

Section: Methodsmentioning

confidence: 99%

Design Selection for New In-Flight Food Delivery and Waste Collection System of Commercial Passenger Transport Aircraft using TOPSIS

Ishak¹,

Romli²

2021

JMechE

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One of the important airline services that can influence the passengers’ loyalty is the in-flight meal service. In this study, the conceptual design process of new in-flight food delivery and waste collection system is carried out using the standard engineering design method to improve the current system. A critical step in this process is the design concept evaluation and selection where the best alternative design concept solution is chosen for further development. The Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method is applied to facilitate the selection process of the best design concept for the new improved in-flight food delivery and waste collection system. The design evaluation criteria for the TOPSIS assessment procedures are taken from previous work done on design requirements analysis for the new in-flight food delivery and waste collection system. Similarly, five alternative design concepts for the new system are taken from the results of the previous research work done. Furthermore, an online public survey is conducted to acquire the assessment rating of all alternative design concepts for each design evaluation criterion. The assessment rating is assigned using a simple Likert rating scale. From the resultant TOPSIS ranking, Concept 3 has emerged as the best design concept with a closeness rating of 0.9589, which is very close to 1. For future research work, this selected final design concept for the new in-flight food delivery and waste collection system will be forwarded to the next engineering design stage for further development.

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Support System for Determination of Low-Income Students Scholarship (BSM) with Technique for Order Preference by Similarity to Ideal Solution (TOPSIS)

Cited by 4 publications

References 2 publications

Utilizing the Delphi Technique to Develop a Self-Regulated Learning Model

Utilizing the Delphi Technique to Develop a Self-Regulated Learning Model

Materialism Predicts College Students' Entrepreneurial Intention: A Serial Mediation Model

Design Selection for New In-Flight Food Delivery and Waste Collection System of Commercial Passenger Transport Aircraft using TOPSIS

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