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All Journal Jurnal S2 Pendidikan Matematika Format : Jurnal Imiah Teknik Informatika Computatio : Journal of Computer Science and Information Systems Jurnal CoreIT Jurnal Pembelajaran Matematika Building of Informatics, Technology and Science Indonesian Journal of Electrical Engineering and Computer Science Journal Social Science And Technology For Community Service Journal of Engineering and Information Technology for Community Service Journal of Computing and Informatics Research Bulletin of Informatics and Data Science Jurnal Media Borneo Journal of Artificial Intelligence and Technology Information Jurnal Informatika dan Rekayasa Perangkat Lunak
Very Hendra Saputra
Prodi Magister Pendidikan Matematika, Pascasarjana, FKIP – UNS
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Mathematics Social Sciences Other

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Combination of Multi-Objective Optimization on the basis of Ratio Analysis (MOORA) and Pivot Pairwise Relative Criteria Importance Assessment (PIPRECIA) in Determining the Best Cashier Sintaro, Sanriomi; Aldino, Ahmad Ari; Setiawansyah, Setiawansyah; Saputra, Very Hendra
Journal of Computing and Informatics Research Vol 3 No 1 (2023): November 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/comforch.v3i1.969

Abstract

MOORA (Multi-Objective Optimization by Ratio Analysis) method is one of the multi-criteria analysis techniques used for alternative selection based on several different criteria or objectives. In the context of selecting the best cashier, by using the MOORA method to select cashiers based on several relevant criteria. While Pivot Pairwise Relative Criteria Importance Assessment (PIPRECIA) is a method used to assess the importance of criteria relative to each other in the context of multi-criteria analysis. This method helps in determining the weight of criteria used in multi-criteria decision making. The combination of MOORA and PIPRECIA will produce the best cashier selection based on the criteria used. The results of the best cashier assessment ranking using the Multi-Objective Optimization method on the basis of Ratio Analysis (MOORA) and the Simplified Pivot Pairwise Relative Criteria Importance Assessment weighting method obtained results, namely for Rank 1 obtained by Rini Maya with a final value of 0.343.
Penerapan Metode SWARA dan Grey Relational Analysis Dalam Pemilihan Karyawan Terbaik Saputra, Very Hendra; Setiawansyah, Setiawansyah
Journal of Artificial Intelligence and Technology Information (JAITI) Vol. 2 No. 1 (2024): Volume 2 Number 1 March 2024
Publisher : PT. Tech Cart Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/jaiti.v2i1.107

Abstract

The best employees are individuals who not only have exceptional expertise in their work, but also stand out in their attitude, dedication, and engagement towards the job and the company. One of the problems that often arises in the selection of the best employees is the lack of congruence between the skills possessed and the lack of transparency and communication in the best employee appraisal process to understand what is expected by the company. This study aims to select the best employees by applying a combination of the SWARA method for determining the weight of criteria and the GRA method for selecting the best employees based on the data from the assessment results that have been carried out. The final score ranking results recommend for the best employee 1 with a final score of 0.1799 on behalf of Desi Puspasari, the best employee 2 with a final value of 0.1147 on behalf of M. Budianto, and the best employee 3 with a final score of 0.1082 on behalf of Akhmadi.
RANCANG BANGUN APLIKASI GAME MATEMATIKA UNTUK PENYANDANG TUNAGRAHITA BERBASIS MOBILE Saputra, Very Hendra; Darwis, Dedi; Febrianto, Endi
Computatio : Journal of Computer Science and Information Systems Vol. 3 No. 2 (2019): COMPUTATIO : JOURNAL OF COMPUTER SCIENCE AND INFORMATION SYSTEMS
Publisher : Faculty of Information Technology, Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/computatio.v3i2.6033

Abstract

Mentally disabled is the condition of a person experiencing mental retardation. This situation results in a person experiencing barriers in one or more basic psychological processes include the use of oral and written language problems. Based on interviews with SD SLB teachers, mental disabled in numeracy learning more interested in learning media audio visual because students more enthusiastic and enjoyed the learning process. This research designs and develops learning media form of educational games for the introduction of numbers 1-100 and calculations 1-20 for student using Construct 2. The development method used Multimedia Development Life Cycle (MDLC) which includes concept, design, collecting material, assembly, testing distribution. The game has been developed gets a good response, because students enthusiastic and enjoy learning about the introduction and calculation of numbers. Based on the results of validation by experts to see the feasibility of the media obtained an average score of 42.5 which indicates the media appropriateness of being used as a learning media, based on the blackbox test, the application functions are running well. The results of the research in the form of this game can also be operated on android based handphone. Tunagrahita adalah kondisi seseorang mengalami keterbelakangan mental. Keadaan tersebut mengakibatkan seseorang mengalami hambatan pada satu atau lebih proses psikologis dasar yang mencakup penggunaan bahasa lisan maupun tulisan yang menyebabkan permasalahan perkembangan. Berdasarkan wawancara dengan guru SD SLB siswa penyandang tunagrahita pada pembelajaran berhitung lebih tertarik dengan media pembelajaran berupa audio visual karena siswa tunagrahita lebih antusias dan menikmati proses pembelajaran. Penelitian ini merancang dan mengembangkan media pembelajaran berupa game edukasi pengenenalan angka 1-100 dan perhitungan 1-20 untuk anak tunagrahita mengunakan Software Construct 2. Metode pengembangan yang digunakan yaitu Multimedia Development Life Cycle(MDLC) yang meliputi concept, design, material collecting, assembly, testing dan distribution. Game yang telah dikembangkan mendapat respon yang baik dari guru dan orang tua, hal tersebut dikarenakan siswa tunagrahita lebih antusias dan menikmati pembelajaran tentang pengenalan dan perhitungan angka. Berdasarkan hasil validasi oleh ahli materi dan media untuk melihat kelayakan media diperoleh rata-rata skor 42,5 yang menunjukan bahwa media layak digunakan sebagai media pembelajaran serta berdasarkan uji blackbox, fungsi aplikasi sudah berjalan dengan baik. Hasil penelitian berupa game ini juga dapat di operasikan pada handphone berbasis android.
Decision Support System for Video Editing Staff Recruitment Using a Combination of Entropy and Simple Additive Weighting Methods Wang, Junhai; Saputra, Very Hendra; Putra, Ade Dwi; Anars, M. Ghufroni; Pasaribu, A. Ferico Octaviansyah; Ardiansah, Temi
FORMAT Vol 15, No 1 (2026)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/format.2026.v15.i1.006

Abstract

The recruitment process for video editing staff is a strategic stage in ensuring the quality of professional and competitive content production. However, candidate assessment often faces challenges of subjectivity and inaccuracy in decision-making when evaluators rely solely on intuitive judgment without a measured approach. This study aims to develop a decision support system based on Multi-Criteria Decision Making (MCDM) by integrating the Entropy method for objective determination of criteria weights and the Simple Additive Weighting (SAW) method in calculating the preference values of alternatives. Five evaluation criteria are used in the selection process, namely Editing, Creativity, Experience, Discipline, and Teamwork, with the final weights obtained through the Entropy method being 0.2867, 0.2248, 0.2573, 0.0685, and 0.1626. The study results show that the SAW method is capable of processing candidate evaluation scores comprehensively based on these weights, producing final scores that indicate the best candidates, namely Eko Firmansyah (0.986), Indra Mahendra (0.9699), and Candra Wijaya (0.9662) as the three candidates with the highest eligibility. This study demonstrates that the integration of the Entropy–SAW method is effective in creating a selection mechanism that is objective, transparent, and scientifically accountable, thus making a significant contribution to decision-making in the field of human resource management
Hybrid Entropy and CRADIS Method Approach in Decision Support System for Selecting the Best Employees Wang, Junhai; Setiawansyah, Setiawansyah; Saputra, Very Hendra
Building of Informatics, Technology and Science (BITS) Vol 7 No 4 (2026): March 2026
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v7i4.8985

Abstract

Selecting the right employees is a key factor in improving organizational performance and productivity. However, in many organizations, the employee selection process is still conducted through manual assessments and subjective judgments, which may lead to bias and inconsistent decisions. Therefore, a systematic and objective approach is needed to support the evaluation process. This study integrates the Entropy method and the CRADIS method within a decision support system to determine the best employee candidates. The Entropy method is applied to calculate objective criteria weights based on the variation of information in the data, while the CRADIS method is used to rank candidates according to their proximity to the ideal solution and distance from the anti-ideal solution. The integration of these two methods provides a framework that reduces subjectivity in determining criterion importance and produces more discriminative ranking results. The findings indicate that candidate GF achieved the highest score of 0.6848, followed by EY with 0.6835 and AR with 0.6528, showing that these candidates have performance profiles closest to the defined criteria. In addition, sensitivity analysis using several scenarios of criteria weight changes demonstrates that the proposed model is relatively stable, with an overall ranking consistency of 81.8%, while alternatives AR, DI, and FR show 100% ranking stability. These results indicate that the Entropy–CRADIS approach can improve the accuracy, objectivity, and reliability of employee selection decisions in multi-criteria decision-making environments.
Co-Authors Ahmad Ari Aldino Anars, M. Ghufroni An’ars, M. Ghufroni Ardiansah, Temi Arshad, Muhammad Waqas Asistyasari, Ayuni Chandra, Iryanto Dedi Darwis Febrianto, Endi Heni Sulistiani Ismail, Izudin Ismail, Izzudin Khoirunnisa, Yosi Mardiyana Mardiyana Mardiyana Mardiyana Nirwana Hendrastuty Nuryaman, Yosep Pasaribu, A. Ferico Octaviansyah Priandika, Adhie Thyo Putra, Ade Dwi Rahmadianti, Fitrah Amalia Rahman, Miftahur Sanriomi Sintaro Sari, Priskila Lovika Setiawansyah Setiawansyah Sri Subanti Wang, Junhai yasin, ikbal Yuri Rahmanto