Simple Additive Weighting untuk Front-end Framework Terbaik

Yusuf, Lestari; Hidayatulloh, Taufik; Nurlaela, Dini; Utami, Lila Dini; Hasan, Fuad

doi:10.33096/ilkom.v12i2.593.136-142

Cited by 4 publications

(4 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Make a decision matrix based on criteria (Ci), then normalize the matrix based on equations adjusted to the type of attribute (profit attribute or cost attribute) so that a normalized matrix R is obtained [13] 𝑅𝑖𝑗 = {…”

Section: Methodsmentioning

confidence: 99%

Implementation of Simple Additive Weighting For Scholarship Admission Selection

Kuswanto,

Kodri,

Devana

et al. 2023

TIERS

View full text Add to dashboard Cite

Various types of scholarships are given to students who have achievements both academic and non-academic achievements. Conditions that often occur in the process of awarding scholarships, the assessment is not always decided based on definite considerations and predetermined criteria. Therefore, a decision support system is needed that can assist the scholarship selection team in making effective and efficient decisions. The decision support system to be built applies the Simple Additive Weighting (SAW) method with criteria such as IPS, GPA, Parents' Income, Number of Dependents of parents and Achievement. With the new system, it is expected to help the selection team related to managing applicant data, selection and proposal of scholarship recipients can be done more easily and quickly. After calculation, the highest score of 90.5 was obtained on behalf of Candra K which deserves to be a priority and recommended in receiving scholarships.

show abstract

Section: Methodsmentioning

confidence: 99%

Implementation of Simple Additive Weighting For Scholarship Admission Selection

Kuswanto,

Kodri,

Devana

et al. 2023

TIERS

View full text Add to dashboard Cite

show abstract

“…Memberikan nilai rating kecocokan setiap alternatif pada setiap kriteria. Membuat matriks keputusan berdasarkan kriteria, kemudian melakukan normalisasi matriks berdasarkan persamaan yang disesuaikan dengan jenis atribut (atribut benefit ataupun cost) sehingga diperoleh matriks ternormalisasi R. Dengan rumus sebagai berikut [18]:…”

Section: Metode Sawunclassified

Implementasi Metode Simple Additive Weighting Untuk Seleksi Penerimaan Beasiswa

Joko Kuswanto

2023

bulletincsr

View full text Add to dashboard Cite

One factor that can support student enthusiasm for learning is the existence of educational assistance in the form of scholarships. Various types of scholarships are given to students who have achievements both academic and non-academic achievements. Conditions that often occur in the process of awarding scholarships, the assessment is not always decided based on definite considerations and predetermined criteria. The process of determining the provision of scholarships to students will be more effective and efficient if you use a decision support system. With the existence of a decision support system, it can help the selection team in the selection process of scholarship recipients so as to speed up the decision-making process based on predetermined criteria. The decision support system to be built applies the Simple Additive Weighting (SAW) method. With the new system, it is expected to help the selection team related to managing applicant data, selection and proposal of scholarship recipients can be done more easily and quickly.

show abstract

“…The whole final score was then computed and graded from the highest (the best marketer) to the lowest value (the worst marketer). Yusuf et al (2020) investigated the best front-end framework for desktop-based web applications. This study's goal is to provide a framework that is simpler and easier to utilize.…”

Section: Decision Support Model (Dsm)mentioning

confidence: 99%

“…The goal of finding the best programmers is to offer a metric for gauging promotions, pay increases, or other incentives that programmers will get. The development of this DSM will benefit the company by providing more accurate results, saving time, improving company performance, improving programmers' performance, and making it easier for companies to determine the best programmers (Anindita, 2020;Yusuf et al, 2020;Vosloban, 2012;Yuliani, 2013).…”

Section: Introductionmentioning

confidence: 99%

Decision Support Model for Determining the Best Employee using Fuzzy Logic and Simple Additive Weighting

Chen¹,

Utama²

2022

Journal of Computer Science

View full text Add to dashboard Cite

Specifically, for an information technology company, identifying the best employees (the best programmers) is valuable. The election is intended to improve the performance of the company's programmers. The company's performance will improve as programmers' performance improves. This study attempts to develop a Decision Support Model (DSM) to identify the best employees (i.e., programmers) in the firm. The model considered nine parameters (technical skills, problem-solving, communication skills, teamwork, discipline, work progress, time management, formal education, and informal education) by integrating the Fuzzy Logic (FL) with the Simple Additive Weighting method (SAW). This model is finally able to be benefitted by information and technology firms. This can eventually be used to assess and view employee evaluations, making it simpler for businesses to make key decisions (e.g., granting incentives, salary raises, or promotions). The model is based on data collected from ten company programmers (where six of them are real data). The model concludes that programmer 2 is the best employee in the firm, with a total score of 97.94, based on the suggestions from the constructed DSM.

show abstract

Simple Additive Weighting untuk Front-end Framework Terbaik

Cited by 4 publications

References 8 publications

Implementation of Simple Additive Weighting For Scholarship Admission Selection

Implementation of Simple Additive Weighting For Scholarship Admission Selection

Implementasi Metode Simple Additive Weighting Untuk Seleksi Penerimaan Beasiswa

Decision Support Model for Determining the Best Employee using Fuzzy Logic and Simple Additive Weighting

Contact Info

Product

Resources

About