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All Journal Jurnal Ilmiah Computer Science Journal of Information Technology, Software Engineering and Computer Science
Santoso, Heri Bambang
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Computer Science & IT Decision Sciences, Operations Research & Management Engineering

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Sistem Pendukung Keputusan Penentuan Kinerja Sales Terbaik Menggunakan Kombinasi Grey Relational Analysis dan Pembobotan Rank Sum Citra, Puspa; Sriyasa, I Wayan; Santoso, Heri Bambang
Jurnal Ilmiah Computer Science Vol. 2 No. 2 (2024): Volume 2 Number 2 January 2024
Publisher : PT. SNN MEDIA TECH PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/jics.v2i2.26

Abstract

The best sales performance is one of the key elements in the business world that not only reflects the ability of individuals or sales teams to achieve sales targets, but also becomes a key pillar in the growth and success of the company. The problem in choosing the best sales performance is that there is no decision support system model in choosing the best sales performance. The purpose of this study is to determine the best sales performance by applying the GRA method and rank sum weighting in the assessment of existing sales performance, so that the results of the sales performance appraisal will be a recommendation for companies in determining the best sales performance. The ranking results showed the highest value of 0.1309 obtained by sales Hadi for rank 1, the next highest value of 0.0941 obtained by sales Arini for rank 2, the next highest value of 0.0777 obtained by sales Cindy for rank 3.
Sistem Pendukung Keputusan untuk Penilaian Staff Divisi Purchasing Menggunakan Metode SAW dan ROC Hidayatullah, Syarif; Santoso, Heri Bambang
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.v2i4.160

Abstract

Purchasing Division Staff is an individual who is responsible for managing the procurement process of goods or services needed by the organization. They have a crucial role in ensuring the availability of materials or services of the highest quality, competitive prices, and delivery times that suit operational needs. Their main duties include analyzing needs, finding and evaluating suppliers, negotiating contracts, and monitoring supplier compliance with agreed agreements. The combination of the SAW and ROC methods creates an effective approach in multi-criteria decision support systems, by integrating the strengths of both methods. The advantage of this combination is the integration of ROC which ensures the weighting of criteria is based on the order of importance systematically, while SAW simplifies the process of calculating the final score. The ranking results obtained by TF Staff ranked the highest with a score of 0.8736, showing the most superior performance among all purchasing staff. The second position was occupied by AE Staff with a score of 0.8568, who also had a very good performance although slightly lower than TF Staff. DP staff is in third place with a score of 0.8086, still in the strong and competitive performance category. These results provide an objective picture of the order of purchasing staff performance based on the criteria that have been evaluated.
Co-Authors Citra, Puspa RR. Ella Evrita Hestiandari Sriyasa, I Wayan