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All Journal Jurnal Pendidikan dan Teknologi Indonesia J-Intech (Journal of Information and Technology) Jurnal Media Borneo Journal of Artificial Intelligence and Technology Information
Ari Sulistiyawati
Universitas Lampung
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Engineering Library & Information Science

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Penerapan Kombinasi Metode SWARA dan MAUT Dalam Seleksi Penerimaan Calon Guru Wahyudi, Agung Deni; Sulistiyawati, Ari
Jurnal Media Borneo Vol. 1 No. 3 (2024): Volume 1 Number 3 April 2024
Publisher : CV. Keranjang Teknologi Media

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/mediaborneo.v1i3.58

Abstract

The selection process for teacher candidates is a critical step in ensuring the quality of quality education for students. In addition to assessing academic qualifications such as educational background and work experience, selection should also consider aspects such as communication skills, interpersonal skills, ability to manage classes, and dedication to the education profession. The main problem in the selection of teacher candidates is the difficulty in assessing qualitative aspects such as teaching skills, interpersonal communication, and leadership. The purpose of the research on the application of the combination of SWARA and MAUT methods in the selection of teacher candidate admissions is to develop a more effective and comprehensive approach in the selection process for teacher candidate admission. By combining the SWARA and MAUT methods, this study is to improve the objectivity and accuracy of assessment of teacher candidates based on established criteria. In addition, this study is also to understand the implications of the combination of these two methods on the final decision in the selection of teacher candidates, as well as to provide a strong theoretical foundation to improve the HR selection process in the field of education. The ranking results showed that the first highest score of 0.7043 was obtained by GY candidates and was entitled to 1st place, the second highest score of 0.5804 was obtained by AJ candidates and was entitled to 2nd place, and the third highest score of 0.5365 was obtained by MS candidates and was entitled to 3rd place in the selection of teacher candidate admissions. The results of ranking using a combination of SWARA and MAUT methods are recommendations for schools in the selection of teacher candidates.
Penerapan Metode Logarithmic Percentage Change-Driven Objective Weighting dan Multi-Attribute Utility Theory dalam Penerimaan Guru Bahasa Inggris Setiawansyah, Setiawansyah; Sulistiyawati, Ari
Journal of Artificial Intelligence and Technology Information Vol. 2 No. 2 (2024): Volume 2 Number 2 June 2024
Publisher : PT. Tech Cart Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/jaiti.v2i2.119

Abstract

The admission of English teachers in private schools is an important process in ensuring the quality of education in the institution. This process involves several stages, from the announcement of job vacancies to the selection of candidates who match the established criteria. Problems in the recruitment of English teachers, namely a selection process that lacks transparency or inadequate evaluation tools, can also be an obstacle. Therefore, addressing the problem of English teacher recruitment requires a holistic approach that pays attention to various aspects, including the development of effective recruitment strategies, the provision of training to improve candidate qualifications, and the improvement of the overall selection process. The research objective of applying the LOPCOW (Logarithmic Percentage Change-Driven Objective) Weighting and MAUT (Multi-Attribute Utility Theory) method is to provide a comprehensive and effective framework in the selection process, where LOPCOW is used to analyze objective data related to teacher performance and qualifications, while MAUT is used to integrate the subjective preferences of stakeholders such as principals and school committees in decision making. Thus, the main objective is to optimize the admission process of English teachers by considering these two aspects holistically. The ranking results show that the final results of English teacher admissions recommend the first rank with a final score of 0.7421 obtained by HR Teacher Candidates. This result is the application of the LOPCOW and MAUT methods in the selection process for English teacher admission, and becomes a recommendation for the English teacher admission process.
Kombinasi Metode Rank Order Centroid dan Operational Competitiveness Rating Analysis Dalam Seleksi Penerimaan Staff Perpustakaan Wahyudi, Agung Deni; Sulistiyawati, Ari
Journal of Artificial Intelligence and Technology Information Vol. 2 No. 4 (2024): Volume 2 Number 4 December 2024
Publisher : PT. Tech Cart Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/jaiti.v2i4.136

Abstract

Library staff are personnel who work in libraries and are responsible for managing, organizing, and providing various information services to library users. This selection process usually involves several stages, ranging from meeting administrative requirements to assessing the technical and interpersonal abilities of prospective staff. Problems that occur in the selection that do not have clear assessment guidelines can lead to highly subjective assessments, where decisions are influenced more by personal opinion than objective criteria. The purpose of this study is to apply a more objective, structured, and targeted approach to the selection of library staff admissions through a combination of ROC and OCRA methods that produce a selection model that can be applied to various library institutions, as well as support the improvement of service quality and library management through the selection of qualified staff. The results of the evaluation using the OCRA method, the candidate with the highest final score was Candidate H with a score of 0.9133, which placed him in the first rank as the most suitable candidate for the position of library staff. Candidate E was ranked second with a score of 0.8339, showing almost comparable performance and also very competitive. In third place is Candidate B with a final score of 0.3578. The results of this ranking help in identifying the best candidates and show qualitative differences between each prospective staff, supporting the decision-making process in the admission of library staff.
Penerapan Metode MOORA dan LOPCOW Dalam Seleksi Penerimaan Guru Bimbel Sulistiyawati, Ari
Journal of Artificial Intelligence and Technology Information Vol. 2 No. 4 (2024): Volume 2 Number 4 December 2024
Publisher : PT. Tech Cart Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/jaiti.v2i4.139

Abstract

The selection of the right tutor admission is important to ensure that each teacher has strong pedagogical competence, communication skills, and material understanding, as well as the ability to manage the classroom and motivate students. However, the selection of ideal teachers based on these criteria is often a challenge due to the limitations of objective and transparent assessment methods. The combination of MOORA and LOPCOW in multi-criteria decision-making offers a robust and objective approach to ranking alternatives based on relevant criteria. The combination of these two methods is expected to be able to provide more accurate, efficient, and in accordance with the needs of tutoring institutions in recruiting qualified teachers. This research aims to provide a comprehensive solution in the selection process, but also contributes to the development of a selection method based on multi-criteria analysis in the context of education. The ranking results show an alternative ranking for tutoring teacher admissions based on the scores obtained by each prospective teacher. From these results, Yusuf Hakim is ranked first with the highest score of 0.3715, which shows that he is the strongest candidate to be accepted. The second place was occupied by Siti Zahra with a score of 0.3635, followed by Intan Permata who had a score of 0.3622 in third place. From this data, it can be concluded that Yusuf Hakim is the most recommended candidate to be accepted as a tutor, while Fajar Pratama has the lowest score in this assessment.
Sistem Pendukung Keputusan Berbasis Multi-Attributive Border Approximation Area Comparison dan Entropy Weighting untuk Pemilihan Siswa Berprestasi di Sekolah Menengah Atas Sulistiyawati, Ari
Jurnal Pendidikan dan Teknologi Indonesia Vol 4 No 10 (2024): JPTI - Oktober 2024
Publisher : CV Infinite Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jpti.466

Abstract

Pemilihan siswa berprestasi merupakan proses seleksi untuk menentukan siswa yang memiliki pencapaian terbaik di bidang akademik maupun non-akademik. Pemilihan ini bertujuan untuk memberikan penghargaan kepada siswa yang telah menunjukkan dedikasi luar biasa, sekaligus memotivasi siswa lain untuk terus berusaha mencapai prestasi maksimal. Pemilihan siswa berprestasi sering menghadapi berbagai permasalahan yang dapat memengaruhi keadilan dan akurasi hasil seleksi. Salah satu masalah utama adalah kurangnya standar penilaian yang jelas dan terukur untuk mencakup berbagai aspek, baik akademik maupun non-akademik, sehingga menimbulkan potensi bias dalam proses penilaian. Penelitian ini bertujuan untuk menerapkan SPK dalam pemilihan siswa berprestasi dengan mengintegrasikan pendekatan MABAC dan entropy weighting. Tujuan utama dari penelitian ini adalah untuk menentukan kriteria penilaian yang relevan dan tepat dalam menilai siswa, sehingga meningkatkan objektivitas dalam pemilihan siswa berprestasi dengan meminimalkan elemen subjektivitas, sehingga menghasilkan keputusan yang adil dan transparan, serta memberikan rekomendasi untuk pengembangan lebih lanjut dari sistem ini. Hasil perankingan siswa berprestasi menggunakan metode MABAC yang dikombinasikan dengan metode entropy. Siswa dengan nilai tertinggi adalah Siswa 8 (0,5709), diikuti oleh Siswa 4 (0,5701) dan Siswa 13 (0,5638), yang mencerminkan performa mereka yang paling unggul.
Combination of Response to Criteria Weighting Method and Multi-Attribute Utility Theory in the Decision Support System for the Best Supplier Selection Ulum, Faruk; Wang, Junhai; Megawaty, Dyah Ayu; Sulistiyawati, Ari; Aryanti, Riska; Sumanto, Sumanto; Setiawansyah, Setiawansyah
J-INTECH ( Journal of Information and Technology) Vol 13 No 01 (2025): J-Intech : Journal of Information and Technology
Publisher : LPPM STIKI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/j-intech.v13i01.1810

Abstract

Choosing the right supplier is a strategic factor in supporting operational efficiency and a company's competitive advantage. This process requires a decision support system that is able to assess various alternatives objectively and in a structured manner. This study aims to develop a decision support system in the selection of the best supplier by combining the Response to Criteria Weighting (RECA) and Multi-Attribute Utility Theory (MAUT) methods. The RECA method is used to objectively determine the weight of each criterion based on the variation of data between alternatives, so as to reduce subjectivity in the weighting process. Meanwhile, the MAUT method functions to calculate the total utility value of each supplier based on the normalization value and weight that has been obtained. The results of the RECA method show the objective weight of each criterion, which is then used in the MAUT calculation process. The results of the analysis, obtained in the best supplier selection based on the total score of each candidate, it can be seen that PT Global Niaga Mandiri ranks first with the highest score of 0.6512, this shows that this company is the best choice in the supplier selection process. In second place is UD Anugrah Bersama with a score of 0.399, followed by PT Indo Logistik Prima in third place with a score of 0.3451. The combination of the RECA and MAUT methods has been proven to be able to produce accurate, rational, and accountable decisions. This system provides a measurable approach in filtering supplier alternatives efficiently and is relevant to be applied to various other multi-criteria decision-making contexts.
Co-Authors Adelina Hasyim Megawaty, Dyah Ayu Riska Aryanti Setiawansyah Setiawansyah Sumanto, Sumanto Ulum, Faruk Wahyudi, Agung Deni Wang, Junhai