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All Journal Jurnal Teknoinfo Journal of Engineering and Information Technology for Community Service Jurnal Ilmiah Informatika dan Ilmu Komputer Journal of Artificial Intelligence and Technology Information
I Wayan Sriyasa
Universitas Pakuan
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Mathematics Social Sciences Other

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Journal : Journal of Artificial Intelligence and Technology Information

 1 
Kombinasi Metode SWARA dan Simple Additive Weighting (SAW) Pemilihan Tempat Kursus I Wayan Sriyasa
Journal of Artificial Intelligence and Technology Information Vol. 1 No. 4 (2023): Volume 1 Number 4 December 2023
Publisher : PT. Tech Cart Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/jaiti.v1i4.83

Abstract

The combination of SWARA and SAW methods in course venue selection is a comprehensive approach to determining the best course place. The SWARA method is used to identify the relative weights of each criterion in the selection of course venues, with stepwise evaluation steps to produce accurate weight ratios. Furthermore, the SAW method is applied to give a weighted value to each alternative course place based on predetermined criteria. By combining the advantages of SWARA in criteria weighting analysis and SAW in alternative ranking, this approach provides more accurate and transparent results in choosing the course place that best suits the needs and preferences of users. The ranking results showed that rank 1 with a total value of 0.925 was obtained by Victoria, rank 2 with a total value of 0.9047 was obtained by Diamond, rank 3 with a total value of 0.8708 was obtained by Anisya, and the last rank with a total value of 0.8531 was obtained by Zalia.
Kombinasi Metode SWARA dan SMART Dalam Sistem Pendukung Keputusan Pemilihan Guru Berprestasi Heri Bambang Santoso; I Wayan Sriyasa; Puspa Citra
Journal of Artificial Intelligence and Technology Information 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.v2i1.102

Abstract

The selection of outstanding teachers is an important process in the education system to recognize and reward the dedication and outstanding contributions of educators. Problems in the selection of outstanding teachers include unclear selection criteria, subjectivity in assessment, limited resources, and fairness and transparency in the selection process. One of the main problems is the inconsistent or inadequate definition of criteria, which can result in unclarity in determining who is worthy of being an outstanding teacher. This study aims to select outstanding teachers by applying a combination of SWARA and SMART methods in the assessment process of outstanding teachers, so that the tone of application of this method can help the school in determining outstanding teachers. The ranking results show that rank 1 was obtained on behalf of Teacher HS with a value of 0.77105, rank 2 was obtained on behalf of Teacher IA with a value of 0.76975, and rank 3 was obtained on behalf of Teacher HSR with a value of 0.73025.
Co-Authors Adriana Sari Aryani Agung Prajuhana Putra Arie Qurania Asep Saepulrohman Gustian Rama Putra Heri Bambang Santosi Heri Bambang Santoso Hermawan Hermawan Irfan Wahyudi Kotim Subandi Lita Karlitasari Puspa Citra Syarif Hidayatullah Victor Ilyas Sugara Yusma Yanti