Published: 2025-01-01
Pengembangan Sistem Pendukung Keputusan untuk Pemilihan Karyawan Terbaik di PT. Bringin Karya Sejahtera Cabang Ragunan, Jakarta Selatan, Menggunakan Metode Analytical Hierarchy Process (AHP) Berbasis Web
DOI: 10.35870/jtik.v9i1.3068
Downloads
Abstract
This research develops a decision support system using the Analytical Hierarchy Process (AHP) to assist in selecting the best employee at PT. Bringin Karya Sejahtera. Evaluating employee performance is crucial for enhancing company productivity, as recognizing outstanding performance can motivate employees to excel. This case study was conducted at PT. Bringin Karya Sejahtera, where employee evaluations are carried out monthly, with cumulative results calculated at the end of the year to determine the best employee. The selection process often becomes complex due to the numerous criteria and employee options, requiring a system to simplify decision-making. Therefore, this study introduces an AHP-based system to support leaders in effectively managing factors, criteria, and alternatives. AHP, developed by Thomas L. Saaty, allows for multi-criteria comparisons and simplifies complex decision-making through a hierarchical approach.
Keywords
SPK ; AHP ; Sumblime Text
Article Information
This article has been peer-reviewed and published in the Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi). The content is available under the terms of the Creative Commons Attribution 4.0 International License.
-
Issue: Vol. 9 No. 1 (2025)
-
Section: Computer & Communication Science
-
Published: %750 %e, %2025
-
License: CC BY 4.0
-
Copyright: © 2024 Authors
-
DOI: 10.35870/jtik.v9i1.3068
AI Research Hub
This article is indexed and available through various AI-powered research tools and citation platforms. Our AI Research Hub ensures that scholarly work is discoverable, accessible, and easily integrated into the global research ecosystem. By leveraging artificial intelligence for indexing, recommendation, and citation analysis, we enhance the visibility and impact of published research.
Mawadah Warahmah
Program Studi Ilmu Komputer, Universitas Tama Jagakarsa, Kota Jakarta Selatan, Daerah Khusus Ibukota Jakarta, Indonesia.
NM Faizah
Program Studi Ilmu Komputer, Universitas Tama Jagakarsa, Kota Jakarta Selatan, Daerah Khusus Ibukota Jakarta, Indonesia.
Widyat Nurcahyo
Program Studi Ilmu Komputer, Universitas Tama Jagakarsa, Kota Jakarta Selatan, Daerah Khusus Ibukota Jakarta, Indonesia.
-
Al-Aomar, R. (2010). A combined ahp-entropy method for deriving subjective and objective criteria weights. Int J Ind Eng Theory Appl Pract, 17(1), 12e24.
-
Booch, G. (1990). Object oriented design with applications. Benjamin-Cummings Publishing Co., Inc.
-
Boyde, J. (2014). A Down-To-Earth Guide To SDLC Project Management: Getting your system/software development life cycle project successfully across the line using PMBOK adaptively. Joshua Boyde.
-
br Ginting, D. Y., Kom, M., br Ginting, R., Kom, M., Sembiring, D. J., & Kom, M. (2020). Sistem Pendukung Keputusan dengan Menggunakan Metode Analytic Hierarchy Process (AHP). Penerbit Andi.
-
Janko, W., & Bernroider, E. (2005). Multi-Criteria Decision Making: An Application Study of ELECTRE & TOPSIS. Dalam Fuzzy Multi-Attribute Decision Making (MADM). Yogyakarta: Graha Ilmu, 1-36.
-
Kusumadewi, S., Wahyuni, E. G., & Mulyati, S. (2021). Decision Support and Intelligent System.
-
Lee, S. (2015). Determination of priority weights under multiattribute decision-making situations: AHP versus fuzzy AHP. Journal of construction engineering and management, 141(2), 05014015.
-
Meshram, S. G., Alvandi, E., Singh, V. P., & Meshram, C. (2019). Comparison of AHP and fuzzy AHP models for prioritization of watersheds. Soft Computing, 23, 13615-13625.
-
Saaty, T. L. (1980). Te analytic hierarchy process: planning, priority setting, resource allocation. Journal of Mathematical Psychology, 24(3), 287-234.
-
Saaty, T. L. (2021). Pengambilan Keputusan; Bagi Para Pemimpin Proses hirarki analitik untuk pengambilan keputusan dalam situasi yang komplek.
-
Simangunsong, P. B. N., & Sinaga, S. B. (2019). Sistem Pendukung Keputusan Pemilihan Dosen Berprestasi. Yayasan Kita Menulis.
-
Song, B., & Kang, S. (2016). A Method of Assigning Weights Using a Ranking and Nonhierarchy Comparison. Advances in Decision Sciences.
-
Srdjevic, B. (2005). Combining different prioritization methods in the analytic hierarchy process synthesis. Computers & Operations Research, 32(7), 1897-1919.
-
Torfi, F., Farahani, R. Z., & Rezapour, S. (2010). Fuzzy AHP to determine the relative weights of evaluation criteria and Fuzzy TOPSIS to rank the alternatives. Applied soft computing, 10(2), 520-528. DOI: https://doi.org/10.1016/j.asoc.2009.08.021.
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Authors who publish with this journal agree to the following terms:
1. Copyright Retention and Open Access License
Authors retain copyright of their work and grant the journal non-exclusive right of first publication under the Creative Commons Attribution 4.0 International License (CC BY 4.0).
This license allows unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
2. Rights Granted Under CC BY 4.0
Under this license, readers are free to:
- Share — copy and redistribute the material in any medium or format
- Adapt — remix, transform, and build upon the material for any purpose, including commercial use
- No additional restrictions — the licensor cannot revoke these freedoms as long as license terms are followed
3. Attribution Requirements
All uses must include:
- Proper citation of the original work
- Link to the Creative Commons license
- Indication if changes were made to the original work
- No suggestion that the licensor endorses the user or their use
4. Additional Distribution Rights
Authors may:
- Deposit the published version in institutional repositories
- Share through academic social networks
- Include in books, monographs, or other publications
- Post on personal or institutional websites
Requirement: All additional distributions must maintain the CC BY 4.0 license and proper attribution.
5. Self-Archiving and Pre-Print Sharing
Authors are encouraged to:
- Share pre-prints and post-prints online
- Deposit in subject-specific repositories (e.g., arXiv, bioRxiv)
- Engage in scholarly communication throughout the publication process
6. Open Access Commitment
This journal provides immediate open access to all content, supporting the global exchange of knowledge without financial, legal, or technical barriers.