Integrasi Metode AHP-SAW untuk Evaluasi Kinerja Mitra Bisnis pada Sistem Manajemen Kemitraan Berbasis Web

Surya Darma Nasution; Nurhayati Nurhayati; Sri Wanti Nasution

doi:10.47065/explorer.v6i2.2899

Surya Darma Nasution * Program Studi Bisnis Digital, Sekolah Tinggi Ilmu Manajemen Sukma, Medan, Indonesia
Nurhayati Nurhayati Program Studi Manajemen, Sekolah Tinggi Ilmu Manajemen Sukma, Medan, Indonesia
Sri Wanti Nasution Program Studi Manajemen Retail, Universitas Budi Darma, Medan, Indonesia

DOI: https://doi.org/10.47065/explorer.v6i2.2899

Keywords: AHP; SAW; Decision Support System; Partner Performance Evaluation; Partnership Management

Abstract

Business partnership management in SMEs and companies is still largely conducted manually, making objective partner performance evaluation difficult. This study aims to integrate the Analytical Hierarchy Process (AHP) and Simple Additive Weighting (SAW) methods to evaluate partner performance in a web-based partnership management system. AHP is used as the criteria weighting method through pairwise comparison validated by the Consistency Ratio (CR), while SAW is used for partner ranking. Four evaluation criteria were established: number of collaboration activities, active partnership duration, completeness of collaboration evidence, and number of expired MoUs without renewal. The AHP calculation produced criteria weights with a CR value of 0.0038 (< 0.1), indicating consistent judgment. Testing on five partners produced consistent rankings, with Partner C as the best-performing partner (preference value 1.0000). A comparative analysis between AHP-SAW and pure SAW (manual weighting) showed identical rankings (Spearman correlation = 1.000), yet AHP-SAW provided more objective and validated weighting justification. The developed system proved capable of producing objective, transparent, and measurable partner performance evaluations.

References

P. C. Verhoef et al., “Digital transformation: A multidisciplinary reflection and research agenda,” J. Bus. Res., vol. 122, pp. 889–901, Jan. 2021, doi: 10.1016/j.jbusres.2019.09.022.

S. Chatterjee, R. Chaudhuri, D. Vrontis, and S. Kadić-Maglajlić, “Adoption of AI integrated partner relationship management (AI-PRM) in B2B sales channels: Exploratory study,” Ind. Mark. Manag., vol. 109, pp. 164–173, 2023, doi: 10.1016/j.indmarman.2022.12.014.

H. Taherdoost, “Analysis of Simple Additive Weighting Method (SAW) as a MultiAttribute Decision-Making Technique: A Step-by-Step Guide,” J. Manag. Sci. Eng. Res., vol. 6, no. 1, pp. 21–24, 2023, doi: 10.30564/jmser.v6i1.5400.

D. Nofriansyah and S. Defit, Multi Criteria Decision Making (MCDM) pada Sistem Pendukung Keputusan. Deepublish, 2017.

Terttiaavini, Y. Hartono, Ermatita, and D. P. Rini, “Development of a Decision Support System on Employee Performance Assessment Using Weighted Performance Indicators Method,” Int. J. Inf. Eng. Electron. Bus., vol. 15, no. 3, pp. 1–11, 2023, doi: 10.5815/ijieeb.2023.03.01.

Terttiaavini, Y. Hartono, Ermatita, and D. P. Rini, “Comparison of Simple Additive Weighting Method and Weighted Performance Indicator Method for Lecturer Performance Assessment,” Int. J. Mod. Educ. Comput. Sci., vol. 15, no. 2, pp. 1–11, 2023, doi: 10.5815/ijmecs.2023.02.01.

Y. Irawan, “Decision Support System for Employee Bonus Determination With Web-Based Simple Additive Weighting (Saw) Method in Pt. Mayatama Solusindo,” J. Appl. Eng. Technol. Sci., vol. 2, no. 1, pp. 7–13, 2020, doi: 10.37385/jaets.v2i1.162.

H. Taherdoost and M. Madanchian, “Multi-Criteria Decision Making (MCDM) Methods and Concepts,” Encyclopedia, vol. 3, no. 1, pp. 77–87, 2023, doi: 10.3390/encyclopedia3010006.

M. M. D. Widianta, T. Rizaldi, D. P. S. Setyohadi, and H. Y. Riskiawan, “Comparison of Multi-Criteria Decision Support Methods (AHP, TOPSIS, SAW & PROMENTHEE) for Employee Placement,” in Journal of Physics: Conference Series, Institute of Physics Publishing, 2018. doi: 10.1088/1742-6596/953/1/012116.

G. S. Mahendra and P. G. S. C. Nugraha, “Komparasi Metode AHP-SAW dan AHP-WP Pada SPK Penentuan E-Commerce Terbaik di Indonesia,” J. Sist. dan Teknol. Inf., vol. 8, no. 4, p. 346, 2020, doi: 10.26418/justin.v8i4.42611.

G. S. Mahendra and K. Y. E. Aryanto, “Sistem Pendukung Keputusan Penentuan Lokasi ATM Menggunakan Metode AHP dan SAW,” J. Nas. Teknol. dan Sist. Inf., vol. 05, pp. 49–56, 2019.

D. Kurniawati, F. N. Lenti, and R. W. Nugroho, “Implementation of AHP and SAW Methods for Optimization of Decision Recommendations,” J. Int. Conf. Proc., vol. 4, no. 1, pp. 254–265, 2021, doi: 10.32535/jicp.v4i1.1152.

G. S. Mahendra, “DSS for best e-commerce selection using AHP-WASPAS and AHP-MOORA methods,” Matrix J. Manaj. Teknol. dan Inform., vol. 11, no. 2, pp. 81–94, 2021, doi: 10.31940/matrix.v11i2.2306.

N. K. Y. Suartini, D. G. H. Divayana, and L. J. E. Dewi, “Comparison Analysis of AHP-SAW, AHP-WP, AHP-TOPSIS Methods in Private Tutor Selection,” Int. J. Mod. Educ. Comput. Sci., vol. 15, no. 1, pp. 28–45, 2023, doi: 10.5815/ijmecs.2023.01.03.

A. Afshari, M. Mojahed, and R. M. Yusuff, “Simple Additive Weighting approach to Personnel Selection problem,” Int. J. Innov. Manag. Technol., vol. 1, no. 5, pp. 511–515, 2010.

K. C. Laudon and J. P. Laudon, Management information systems : managing the digital firm. Pearson Education, 2014.

R. P. Kusumawardani and M. Agintiara, “Application of Fuzzy AHP-TOPSIS Method for Decision Making in Human Resource Manager Selection Process,” Procedia Comput. Sci., vol. 72, pp. 638–646, 2015, doi: 10.1016/j.procs.2015.12.173.

E. Rahmanita, N. Prastiti, and I. Jazari, “Penggunaan Metode AHP dan FAHP dalam Pengukuran Kualitas Keamanan Website E-Commerce,” J. Teknol. Inf. dan Ilmu Komput., vol. 5, no. 3, p. 371, 2018, doi: 10.25126/jtiik.201853816.

A. ALazzawi, Q. M. Yas, and B. Rahmatullah, “A Comprehensive Review of Software Development Life Cycle methodologies: Pros, Cons, and Future Directions,” Iraqi J. Comput. Sci. Math., vol. 4, no. 4, pp. 173–190, 2023, doi: 10.52866/ijcsm.2023.04.04.014.

I. Sommerville, Software Engineering, 10th ed. Boston, MA, USA: Pearson Education, 2016.

A. Neumann, N. Laranjeiro, and J. Bernardino, “An Analysis of Public REST Web Service APIs,” IEEE Trans. Serv. Comput., vol. 14, no. 4, pp. 957–970, 2021, doi: 10.1109/TSC.2018.2847344.

D. I. Pirdaus and R. A. Hidayana, “Analysis Testing Black Box and White Box on Application To-Do List Based Web,” Int. J. Math. Stat. Comput., vol. 2, no. 2, pp. 68–75, 2024.

P. K. Ayuningtyas, D. Atmodjo, and P. Rachmadi, “Performance And Functional Testing With The Black Box Testing Method,” Int. J. Progress. Sci. Technol. (IJPSAT, vol. 39, no. 2, pp. 212–218, 2023, [Online]. Available: http://portal.perbanas.id.

A. Sarikaya, M. Correll, L. Bartram, M. Tory, and D. Fisher, “What do we talk about when we talk about dashboards?,” IEEE Trans. Vis. Comput. Graph., vol. 25, no. 1, pp. 682–692, 2019, doi: 10.1109/TVCG.2018.2864903.

O. Tanvir, R. Adeel, and K. masood, “Role of Data Analytics, Business Intelligence, and Performance Management in Enhancing Strategic Marketing Decision-Making,” Qlantic J. Soc. Sci., vol. 5, no. 4, 2024, doi: 10.55737/qjss.v-iv.24294.