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All Journal Jurnal Ilmiah Informatika dan Ilmu Komputer Jurnal Ilmiah Computer Science Journal of Artificial Intelligence and Technology Information Journal of Information Technology, Software Engineering and Computer Science
Santoso, Heri Bambang
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Computer Science & IT Control & Systems Engineering 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.
Kombinasi Metode SWARA dan SMART Dalam Sistem Pendukung Keputusan Pemilihan Guru Berprestasi Santoso, Heri Bambang; Sriyasa, I Wayan; Citra, Puspa
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.v2i1.102

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.
Sistem Pendukung Keputusan Pemilihan E-Commerce Menggunakan Pembobotan Entropy dan COPRAS Citra, Puspa; Santoso, Heri Bambang; Sriyasa, I Wayan
Jurnal Ilmiah Informatika dan Ilmu Komputer (JIMA-ILKOM) Vol. 3 No. 1 (2024): Volume 3 Number 1 March 2024
Publisher : PT. SNN MEDIA TECH PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/jima-ilkom.v3i1.25

Abstract

The choice of e-commerce platform is crucial for businesses that want to expand their reach and increase sales online. By choosing the right e-commerce platform, businesses can optimize their online operations, increase customer satisfaction, and achieve sustainable growth in an increasingly competitive digital marketplace. This study aims to select e-commerce using a combination of entropy weighting methods and COPRAS in producing alternative assessments and ratings of existing e-commerce, so that it becomes a recommendation for the public in choosing an e-commerce as a transaction platform. The ranking results in the final e-commerce score are rank 1 obtained for Shoope e-commerce with a value of 100%, rank 2 obtained for Tokopedia e-commerce with a value of 95.93%, rank 3 obtained for Lazada e-commerce with a value of 80.93%, and rank 4 obtained for Blibli e-commerce with a value of 58.07%. The recommendation results for selecting an E-Commerce platform using a combination of Entropy and COPRAS weighting methods provide the highest recommendation to the Shoope E-Commerce platform with the highest value of 100%.
Co-Authors Citra, Puspa RR. Ella Evrita Hestiandari Sriyasa, I Wayan