Decision Support System for Cloud Computing Service Selection Using the Weighted Product Method (Case Study: PT. Deptech Digital Indonesia)

Saputra, Dedi; Widianto, Kudiantoro; Setiyorini, Tyas; Alfarobi, Ibnu

doi:10.46729/ijstm.v2i1.103

Cited by 7 publications

(3 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The limitation of this study was that if the evaluation aspect score was 0, then the Weighted Product calculation would always result in 0. The limitations of this study also have similarities with other studies, such as Supriyono & Sari [46], Saputra et al [47], Maulana et al [48], Bire et al [49], Utomo & Budiman [50], Nababan & Tuti [51], and Herdiansah et al [52], which applies the Weighted Product method in determining the dominant alternative from several existing alternatives. The problem was also the same, namely, if the alternative score was 0, then it was certain that the calculation process could not be carried out.…”

Section: Figure 3 Final Design Of Formative-summative Evaluation Mode...supporting

confidence: 62%

Design of Formative-Summative Evaluation Model Based on Tri Pramana-Weighted Product

et al. 2022

View full text Add to dashboard Cite

Quality in the implementation of e-learning in health universities can be measured both during the learning process and after the learning ends. Measurement can be performed through evaluation activities. The evaluation model needed was an innovative evaluation model that can look for the dominant aspects that determined the quality of e-learning implementation. One breakthrough evaluation model produced in this research to answer this need was the Formative-Summative evaluation model based on the Tri Pramana-Weighted Product. The main objective of this research was to show the quality of the Formative-Summative evaluation model design based on the Tri Pramana-Weighted Product. This research approach was based on the Borg & Gall development model, which focused on the design development stage. The subjects involved in conducting trials of the evaluation model design were 34 respondents. The technique for determining the subject was carried out using a purposive sampling technique. In addition, the tool used to conduct the trial was a questionnaire. The location for filling out the questionnaire was in health universities and colleges in the province of Bali. The technique used to analyze the data from the test results was descriptive quantitative by comparing the average percentage of the quality of the test results with the percentage of quality that refers to the five-scale categorization. The results showed that the percentage of the design quality of the Formative-Summative evaluation model based on the Tri Pramana-Weighted Productof 88.02%. This means that the quality of the evaluation model design was included in the good category. The impact of the results of this research on the field of education was to present an innovation in evaluation activities that made it easier for educational evaluators to measure the quality of e-learning, especially in health universities and colleges. Doi: 10.28991/ESJ-2022-06-06-016 Full Text: PDF

show abstract

Section: Figure 3 Final Design Of Formative-summative Evaluation Mode...supporting

confidence: 62%

Design of Formative-Summative Evaluation Model Based on Tri Pramana-Weighted Product

et al. 2022

View full text Add to dashboard Cite

show abstract

“…The first formula for the weighting improvement process. The first formula is shown in Equation 1 [15][16][17][18]. The second formula is to determine the S vector.…”

Section: Simulation Formulamentioning

confidence: 99%

Utilization of the Weighted Product-Based CIPP Evaluation Model in Determining the Best Online Platform

Divayana

Suyasa

Santiyadnya

et al. 2023

HighTech. Innov. J.

View full text Add to dashboard Cite

Since the COVID-19 pandemic, there have been many free online platforms that can be used to support the online learning process at health colleges in Bali. However, it is difficult to determine the best online platform from the various choices of free online platforms that are scattered on the internet. Therefore, it needs innovations that contribute to helping solve these problems. One model as an innovation that can be used and contributes to solving problems is the Weighted Product-based CIPP evaluation model. The model needs to be measured for the quality of its calculations to ensure success in determining the best online platform. Therefore, this research aimed to show the quality of the Weighted Product method calculation integrated with the CIPP (Context-Input-Process-Product) model in determining the best platform used in health colleges during the COVID-19 pandemic. The instrument used to assess the quality of that calculation was a questionnaire consisting of eight questions. The subjects involved in the assessment were 20 experts. The research was carried out at several health colleges in Bali. The analytical technique used in analyzing the research data was descriptive-quantitative. The analysis was carried out by comparing the quality percentage of the calculation simulation with the quality standard based on an eleven-point scale. The study results showed the quality percentage of calculation simulation was 87.250%, so it was included in the very good category. This research has a significant impact on the progress of the educational evaluation field through research findings in the form of the appearance of the combination of the Weighted Product method with the CIPP evaluation model. The novelty of this research is the combination of the Weighted Product method and the CIPPmodel, which makes it easier for educational evaluators to determine the best online platform that supports online learning during the COVID-19 pandemic and even post-COVID-19. Doi: 10.28991/HIJ-2023-04-01-015 Full Text: PDF

show abstract

“…Research conducted by Saputra et al [13] using the weighted product (WP) method aims to determine the ideal cloud computing service. This study establishes as many as 11 criteria used in the consideration of decision making and 6 alternatives that can be selected in cloud computing services.…”

Section: Introductionmentioning

confidence: 99%

Group decision support system model to determine supervisor lecturers for student creativity programs

2023

View full text Add to dashboard Cite

A group decision support system (GDSS) model was created in this study by implementing the weighted product (WP) method and the borda method to determine prospective assistant or supervisor lecturers for student creativity programs (PKMs) that are routinely carried out every year at the Sriwijaya State Polytechnic. This study applies 5 criteria, including i) education level, ii) academic position, iii) group tenure, iv) lecturer certification, and v) achievement in the field of three pillars of higher education. The decision-makers in this study consisted of the head of the department (DM–1), the secretary of the department (DM–2), and the head of the study program (DM–3) where they carried out the decision-making process in groups. The WP method is used to make preferences independently of the decision-makers to determine the best alternative based on predetermined criteria. The borda method is currently used to aggregate the decision-makers to obtain the final result in the form of an alternative ranking. The results of this study are sufficient to be used as a reference in determining the supervisor lecturer for PKM activities at the Department of Computer Engineering, State Polytechnic of Sriwijaya.

show abstract

Decision Support System for Cloud Computing Service Selection Using the Weighted Product Method (Case Study: PT. Deptech Digital Indonesia)

Cited by 7 publications

References 9 publications

Design of Formative-Summative Evaluation Model Based on Tri Pramana-Weighted Product

Design of Formative-Summative Evaluation Model Based on Tri Pramana-Weighted Product

Utilization of the Weighted Product-Based CIPP Evaluation Model in Determining the Best Online Platform

Group decision support system model to determine supervisor lecturers for student creativity programs

Contact Info

Product

Resources

About