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All Journal Indonesian Journal of Electrical Engineering and Computer Science Journal Social Science And Technology For Community Service Journal of Information Technology, Software Engineering and Computer Science
An’ars, M. Ghufroni
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Civil Engineering, Building, Construction & Architecture Computer Science & IT Economics, Econometrics & Finance Engineering Environmental Science Languange, Linguistic, Communication & Media

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Penerapan Metode G-MAUT Dalam Pemilihan Editor Video Terbaik Putra, Ade Dwi; An’ars, M. Ghufroni
Journal of Information Technology, Software Engineering and Computer Science (ITSECS) Vol. 2 No. 4 (2024): Volume 2 Number 4 October 2024
Publisher : PT. Tech Cart Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/itsecs.v2i4.161

Abstract

A video editor is a professional who is responsible for processing raw footage into videos that are interesting, structured, and in accordance with the project's objectives. Choosing the best video editor requires careful consideration to evaluate their mastery of popular editing software, as well as additional capabilities such as color correction, audio processing, and visual effects. The main problem in choosing the best video editor often has to do with the difficulty of objectively assessing quality and ability before working together. Problems in the best video editor rating often arise due to the subjective nature of the work and depend on aesthetic preferences as well as the specific needs of the project. This study aims to apply the G-MAUT method in the process of selecting the best video editor. The main goal is to produce an objective, systematic, and multi-criteria-based assessment system to help make more accurate decisions. By using the G-MAUT method, this research can provide solutions that can improve efficiency and fairness in the election process, as well as contribute to the development of decision support systems in the creative field. The results of the calculation using the G-MAUT method in the ranking of the best video editor selection were obtained by Candidate C managed to rank first with the highest final score, which was 0.7794, showing superior performance compared to other candidates. In second place, there is Candidate A with a score of 0.4241, which still shows a significant contribution even though it is quite far from the first place. Candidate D followed in third place with a score of 0.3573. These results illustrate the stark differences among the candidates, providing important insights for further evaluation.
Penerapan Platform DigiLearnHub Untuk Meningkatkan Kemampuan Literasi dan Numerasi Siswa Serta Pelayanan Administrasi di SMAS Kesuma Bakti Priandika, Adhie Thyo; Saputra, Very Hendra; An’ars, M. Ghufroni; Darwis, Dedi
Journal of Social Sciences and Technology for Community Service (JSSTCS) Vol 5, No 2 (2024): Volume 5, Nomor 2, September 2024
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jsstcs.v5i2.4731

Abstract

SMAS Kesuma Bakti Bekri (SMAS-KBB) has several priority issues that need to be addressed, includingThe educational report score for literacy skills at SMAS-KBB is still categorized as poor, with a score of 33.33. The educational report score for numeracy skills at SMAS-KBB is also categorized as poor, with a score of 35.56. The management of the school's administrative and financial services system has not been optimized. Based on these priority issues, the proposed solutions areImplementing the DigiLearnHub Platform. Providing training and assistance to teachers in creating and designing engaging literacy and numeracy learning content to be used on the DigiLearnHub platform. Providing training and assistance to students on the use of the DigiLearnHub platform and the importance of improving literacy and numeracy learning as a foundation for mastering science and technology. Implementing an application that can be accessed digitally through the website and mobile for real-time School Administration System. Based on the evaluation results, there was an 84.85% improvement in teachers' ability to create literacy and numeracy learning content. Furthermore, based on post-test results conducted with students, there was an increase in the average student score, with literacy achieving 87.2 and numeracy 86.2. This indicates an improvement in literacy and numeracy learning quality, which is expected to prepare students for the ANBK. In addition, the school administrative service application has improved the school's administrative and financial services. According to survey results, 87% of students and parents expressed high satisfaction with the services provided through the school administration and financial application.
G2M weighting: a new approach based on multi-objective assessment data (case study of MOORA method in determining supplier performance evaluation) Hendrastuty, Nirwana; Setiawansyah, Setiawansyah; An’ars, M. Ghufroni; Rahmadianti, Fitrah Amalia; Saputra, Very Hendra; Rahman, Miftahur
Indonesian Journal of Electrical Engineering and Computer Science Vol 38, No 1: April 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v38.i1.pp403-416

Abstract

Criteria weighting methods in decision support system (DSS) face various challenges and limitations that can affect their accuracy and reliability. One of the main challenges is subjectivity, this subjective assessment can reduce the objectivity and consistency of results. The main objective of the new weighting method grey geometric mean (G2M) weighting is to provide more objective and robust criteria weights under conditions of uncertainty and incomplete data. The new G2M weighting approach has a significant potential impact on the DSS field, it has the potential to generate more effective and efficient decisions, which can improve organizational performance, reduce risk and optimize outcomes. Pearson correlation test results of two sets of rankings generated by DSS methods namely grey relational analysis (GRA), simple additive weighting (SAW), multi-attributive ideal-real comparative analysis (MAIRCA), weighted product (WP), combined compromise solution (COCOSO), vlsekriterijumska optimizacija i kompromisno resenje (VIKOR), and a new additive ratio assessment (ARAS) that there is a strong positive correlation between the two methods using G2M weighting criteria. The high correlation value indicates that the rankings of the methods used tend to move together, giving confidence in the consistency and validity of the resulting ranking results. This gives confidence that both methods can be used simultaneously or interchangeably with consistent results. The use of G2M weighting in the DSS method used can support better decision-making by providing consistent information and validity of ranking results.
Co-Authors Dedi Darwis Nirwana Hendrastuty Priandika, Adhie Thyo Putra, Ade Dwi Rahmadianti, Fitrah Amalia Rahman, Miftahur Setiawansyah Setiawansyah Very Hendra Saputra