The Selection System of Student Scholarship Based on Simple Additive Weighting and Technique for Order Preference by Similarity to Ideal Solution Method

Anamisa, Devie Rosa; Rachmad, Aeri; Putro, Sigit Susanto; Jauhari, Achmad; Khozaimi, Achmad; Pujiastutik, Reny; Rahmanita, Eza

doi:10.4108/eai.24-10-2018.2280561

Cited by 2 publications

(3 citation statements)

References 4 publications

(5 reference statements)

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“…Research on this topic has been discussed by previous researchers. Methods used in research are SAW [3]- [10], KNN [11]- [19], TOPSIS [3], [20], K-Means [21], and C45 [14], [22]. Model combination that has been used before are KNN and C45 [14] with SAW and TOPSIS [20].…”

Section: Related Workmentioning

confidence: 99%

“…There are many criteria used, but the most criteria in other research are GPA, parents income, and parents dependents [3], [4], [16], [17], [19], [24], [5]- [8], [12]- [15]. Other criteria used are tuition fee [3], achievement [3], [6], [14], [17], [21], [22], insurance [11], electric bill and tax [5]. For the international scholarship, criteria used are age, degree, field majors, IELTS score, and Japanese Language fluent [18].…”

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

Decision Support System For Determining The Provision Of Single Tuition Relief Using KNN and SAW Methods

Kumarahadi¹,

Apriliyanto²,

Yulianto³

et al. 2020

2020 8th International Conference on Cyber and IT Service Management (CITSM)

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The COVID-19 pandemic has caused a decline in the economic level of the people. This requires universities to quickly take concrete steps in helping their students. The purpose of this study is to assist the tertiary institution in determining who are eligible students to get a single tuition relief (UKT) using the KNN and SAW methods. The results of the UKT relief test show that this decision support system produces the same output as a manual calculation performed with Microsoft Excel. A further development that can be done is the addition of criteria by the situation and conditions of the relevant agencies.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Decision Support System For Determining The Provision Of Single Tuition Relief Using KNN and SAW Methods

Kumarahadi¹,

Apriliyanto²,

Yulianto³

et al. 2020

2020 8th International Conference on Cyber and IT Service Management (CITSM)

View full text Add to dashboard Cite

show abstract

“…Mahmud et al [14] determined the criteria and sub-criteria for student selection, and applied fuzzy AHP method to select the students. Anamisa et al [15] proposed to use SAW and TOPSIS methods for scholarship grantee selection. Mufizar et al [16] combined Multifactor Evaluation Process (MFEP) and Distance to the Ideal Alternative (DIA) to specify the majors and the scholarship recipient.…”

Section: Introductionmentioning

confidence: 99%

Group decision making in best-worst method when the best and worst are not unique: case study of scholar selection

Adalı¹,

Çağlar²

2023

Pamukkale J Eng Sci

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Scholarships for the students are the financial supports provided by the government or institutions. There may be a great number of competing applicants with the knowledge, skills and abilities to successfully fulfill the scholarship needs. So, it is difficult to select the most suitable students among multiple applicants for these providers. In this study, scholarship students' selection is handled as a complex decision making problem, and this problem is solved by integration of two Multi Criteria Decision Making (MCDM) methods, Best-Worst Method (BWM) and COmbined COmpromise SOlution (CoCoSo). In order to demonstrate the applicability of these methods to the scholarship student selection problem, a real problem is solved. This problem is designed as a group decision making problem, and BWM, the improved Analytic Hierarchy Process method, is employed to derive the criteria weights. A solution to the problem where decision makers' best and worst criteria are not common and unique is suggested. On the other hand, CoCoSo method is used for the ranking purposes of the applicants. The novelty of this study is that scholarship selection problem is solved with BWM and CoCoSo methods for the first time. The integrated usage of BWM and CoCoSo methods is thought as suitable and effective methods to rank or select the best candidate or alternative among a number of candidates or alternatives because of satisfactory results. Öğrencilere yönelik burslar, devlet veya kurumlar tarafından sağlanan mali desteklerdir. Sağlanan bursun gerekliliklerini başarıyla yerine getirmek için gerekli olan bilgi, beceri ve yeteneklere sahip çok sayıda rakip öğrenci olabilir. Bu nedenle, burs sağlayıcılar için birden fazla başvuru arasından en uygun öğrencileri seçmek zordur. Bu çalışmada, burs seçimi karmaşık bir karar verme problemi olarak ele alınmış ve bu problem, Çok Kriterli Karar Verme (ÇKKV) yönteminlerinden olan En İyi-En Kötü Yöntemi (BWM) veBirleşik Uzlaşma Çözümü (CoCoSo yöntemi) birlikte kullanılarak çözülmüştür. Bu yöntemlerin burslu öğrenci seçme problemine uygulanabilirliği, gerçek bir problemin çözümü ile gösterilmiştir. Problem, grup karar verme problemi olarak tasarlanmıştır. Problemde kriterlerin ağırlıkları, Analitik Hiyerarşi Süreci yönteminin geliştirilmiş bir hali olan BWM ile hesaplanmıştır. Aynı zamanda, karar vericilerin en iyi ve en kötü kriterlerinin ortak ve tek olmadığı probleme bir çözüm önerilmiştir. Öte yandan, başvuran adayların sıralamaları için CoCoSo yöntemi kullanılmıştır. Bu çalışma ile bursiyer seçim problem, ilk kez BWM ve CoCoSo yöntemleri ile çözülmüştür. Çalışmadan elde edilen tatmin edici sonuçlar, bir dizi aday veya alternatif arasından en iyi adayı veya alternatifi sıralamak ya da seçmek için BWM ve CoCoSo yöntemlerinin birlikte kullanımının uygun ve etkili bir yaklaşım olacağını göstermektedir.

show abstract

The Selection System of Student Scholarship Based on Simple Additive Weighting and Technique for Order Preference by Similarity to Ideal Solution Method

Cited by 2 publications

References 4 publications

Decision Support System For Determining The Provision Of Single Tuition Relief Using KNN and SAW Methods

Decision Support System For Determining The Provision Of Single Tuition Relief Using KNN and SAW Methods

Group decision making in best-worst method when the best and worst are not unique: case study of scholar selection

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