A Web-based Group Decision Support System for Retail Product Sales a Case Study on Padang, Indonesia

Meri Azmi - Politeknik Negeri Padang, Limau Manis, Padang, 25164, Indonesia
Deni Satria - Politeknik Negeri Padang, Limau Manis, Padang, 25164, Indonesia
Farhan Mulya - Politeknik Negeri Padang, Limau Manis, Padang, 25164, Indonesia
Yance Sonatha - Politeknik Negeri Padang, Limau Manis, Padang, 25164, Indonesia
Dwi Putra - Universitas Negeri Padang, Air Tawar Barat, Padang, 25171, Indonesia


Citation Format:



DOI: http://dx.doi.org/10.30630/joiv.7.3.1331

Abstract


The industrial sector's growth has led to an increase in the number of industrial products available in the market. However, this has made it more challenging for retail merchants to choose which items to sell due to the overwhelming number of options. The seller must carefully consider various factors such as the type, quality, and probability of selling the goods to turn a profit. This research proposes a group decision support system to assist retail sellers in selecting the products to sell. The system is designed to process various information on comparing retail products against specific criteria, enabling sellers to make quick and accurate decisions. To achieve optimal results, this study combines three methods in the decision-making calculation process: Fuzzy Logic, EDAS, and Borda methods. The Fuzzy Logic method is used to assign a value to an unclear criterion, followed by the EDAS method ranking process, and ending with the combination of the decision-making results using the Borda method. The group decision support system is web-based and has been proven to provide effective solutions for retail business actors to increase sales and reduce losses. By using this system, retail sellers can make informed decisions about their products, enabling them to optimize their profits and reduce their risks. In conclusion, the increase in the number of industrial products has created challenges for retail merchants, but this research proposes a solution in the form of a group decision support system. Combining Fuzzy Logic, EDAS, and Borda methods results in an effective decision-making process that allows retail sellers to make informed decisions and achieve their business goals.


Keywords


BORDA, Decision Support System, EDAS, Fuzzy Logic, Retail Product Sales

Full Text:

PDF

References


N. S. Utami. “Analisa Kinerja Sektor Ritel Indonesia.†Ecopreneur.12. vol. 1. no. 1. p. 43. 2018. doi: 10.51804/econ12.v1i1.167.

Yuliani and Suarmanayasa. “Pengaruh Harga Dan Online Consumer Review terhadap Keputusan Pembelian Poduk pada Marketplace Tokopedia.†J. Pendidik. Tata Niaga. vol. 3. no. 2. pp. 146–154. 2021.

P. P. Cao and F. V. Burstein. "An asynchronous group decision support system study for intelligent multicriteria decision making." Proceedings of the 32nd Annual Hawaii International Conference on Systems Sciences. 1999. HICSS-32. Abstracts and CD-ROM of Full Papers. 1999. pp. 9 pp.-. doi: 10.1109/HICSS.1999.772713.

M. Rusdi. “Strategi Pemasaran untuk Meningkatkan Volume Penjualan pada Perusahaan Genting UD. Berkah Jaya." J. Stud. Manaj. dan Bisnis. vol. 6. no. 2. pp. 83–88. 2019. doi: 10.21107/jsmb.v6i2.6686.

M. Torkkeli and M. Tuominen. "Use of GDSS in technology selection: experiences and findings." Proceedings of the 34th Annual Hawaii International Conference on System Sciences. 2001. pp. 7 pp.-. doi: 10.1109/HICSS.2001.926240.

R. Chinram. A. Hussain. T. Mahmood and M. I. Ali. "EDAS Method for Multi-Criteria Group Decision Making Based on Intuitionistic Fuzzy Rough Aggregation Operators." in IEEE Access. vol. 9. pp. 10199-10216. 2021. doi: 10.1109/ACCESS.2021.3049605.

A. T. Suci. H. Asyari. A. Y. Prasetiawan. and N. A. Pratomo. “Metode Fuzzy TOPSIS Pada Pengambilan Keputusan Rekrutmen Karyawan PT. Erporate Solusi Global.†Teknoin. vol. 26. no. 1. pp. 14–22. 2020. doi: 10.20885/teknoin.vol26.iss1.art2.

S. Yao. "Research on the Model of Collaborative ERP Based on GDSS." 2008 International Conference on Information Management. Innovation Management and Industrial Engineering. 2008. pp. 124-128. doi: 10.1109/ICIII.2008.252.

R. Safitri and I. Firdaus. “SPK Rekomendasi Pekerjaan Dengan Metode EDAS (Studi Kasus: Lembaga Kursus dan Pelatihan Komputer Widya Informatika Selat Panjang).†J. Inf. Komput. Log. vol. 1. no. 4. 2020. [Online]. Available: http://ojs.logika.ac.id/index.php/jikl.

C. Dsn. "Evaluation based on Distance from Average Solution (EDAS)." Cahya's Blog. 2020. https://extra.cahyadsn.com/edas.

M. Miri. M. B. Dowlatshahi and A. Hashemi. "Evaluation multi label feature selection for text classification using weighted borda count approach." 2022 9th Iranian Joint Congress on Fuzzy and Intelligent Systems (CFIS). 2022. pp. 1-6. doi: 10.1109/CFIS54774.2022.9756467.

D. M. Midyanti. R. Hidyati. S. Bahri. and U. T. Pontianak. “Perbandingan Metode EDAS dan ARAS pada Pemilihan Rumah di Kota Pontianak.†vol. 4. no. 2. pp. 119–124. 2019.

J. -P. Fan. R. Cheng and M. -Q. Wu. "Extended EDAS Methods for Multi-Criteria Group Decision-Making Based on IV-CFSWAA and IV-CFSWGA Operators with Interval-Valued Complex Fuzzy Soft Information." in IEEE Access. vol. 7. pp. 105546-105561. 2019. doi: 10.1109/ACCESS.2019.2932267.

M. A. Budhi and R. Wardoyo. “Sistem Pendukung Keputusan Kelompok Penentuan Karyawan Terbaik Menggunakan Metode Topsis dan Borda.†IJCCS (Indonesian J. Comput. Cybern. Syst. vol. 11. no. 2. p. 165. 2017. doi: 10.22146/ijccs.22773.

A. Lieberty and V. R. Imbar. “Sistem Informasi Meramalkan Penjualan Barang dengan Metode Double Exponential Smoothing (Studi Kasus: PD. Padalara.. vol. 1. no. 1. pp. 27–32. 2015. [Online]. Available: http://jutisi.maranatha.edu/index.php/jutisi/article/view/358/356.

E. L. Putri and B. Sinaga. “Sistem Pendukung Keputusan Penentuan Strategi Pemasaran Barang dengan Metode Analytic Hierarchy Process.†J. Ilmu Komput. dan Inform. vol. 2. no. 1. pp. 25–36. 2022. doi: 10.54082/jiki.20.

N. Damer. P. Terhörst. A. Braun and A. Kuijper. "General borda count for multi-biometric retrieval." 2017 IEEE International Joint Conference on Biometrics (IJCB). 2017. pp. 420-428. doi: 10.1109/BTAS.2017.8272726.

D. M. Midyanti. R. Hidyati. S. Bahri. and U. T. Pontianak. “Perbandingan Metode EDAS dan ARAS pada Pemilihan Rumah di Kota Pontianak.†vol. 4. no. 2. pp. 119–124. 2019.

L. Yong and W. Zulin. "Rank Aggregation Performance Analysis for Borda and Local Search Algorithm." 2010 Third International Symposium on Information Science and Engineering. 2010. pp. 125-128. doi: 10.1109/ISISE.2010.50.

A. T. Suci. H. Asyari. A. Y. Prasetiawan. and N. A. Pratomo. “Metode Fuzzy TOPSIS Pada Pengambilan Keputusan Rekrutmen Karyawan PT. Erporate Solusi Global.†Teknoin. vol. 26. no. 1. pp. 14–22. 2020. doi: 10.20885/teknoin.vol26.iss1.art2.

R. Safitri and I. Firdaus. “SPK Rekomendasi Pekerjaan Dengan Metode EDAS (Studi Kasus: Lembaga Kursus dan Pelatihan Komputer Widya Informatika Selat Panjang).†J. Inf. Komput. Log. vol. 1. no. 4. 2020. [Online]. Available: http://ojs.logika.ac.id/index.php/jikl.

X. Zhang and X. Zhou. "Comprehensive Performance Evaluation of E-government Based on BSC and Fuzzy Borda Number Method." 2010 International Conference on E-Business and E-Government. 2010. pp. 571-575. doi: 10.1109/ICEE.2010.152.

Aditya Fitrah Fauzi. “Sistem Informasi Pendukung Keputusan Pengadaan Barang Berdasarkan Peramalan Penjualan Pada CV. Sahabat Berbasis Website.†JBPTUNIKOMPP. 2017.

M.Deveci. D.Pamucar. I.Gokasar. D.Delen. Q.Wu and V.Simic."An analytics approach to decision alternative prioritization for zero-emission zone logistics". Journal of Business Research. Volume 146 (2022). pp 554-570. ISSN 0148-2963. https://doi.org/10.1016/j.jbusres.2022.03.059.

J.H.Kim. M.Kim. J.Yoo dan M. Park. "Consumer decision-making in a retail store: the role of mental imagery and gender difference". International Journal of Retail & Distribution Management. December 2020. DOI: 10.1108/IJRDM-10-2019-0353

M. A. Budhi and R. Wardoyo. “Sistem Pendukung Keputusan Kelompok Penentuan Karyawan Terbaik Menggunakan Metode Topsis dan Borda.†IJCCS (Indonesian J. Comput. Cybern. Syst. vol. 11. no. 2. p. 165. 2017. doi: 10.22146/ijccs.22773.

A. B. Arifa and H. Santoso. “Sistem Pendukung Keputusan Kelompok untuk Penentuan Usulan Lokasi Pendirian Minimarket.†vol. Volume VI. no. 1. pp. 135–138. 2020. doi: 10.31294/jtk.v4i2.

F.Sitorus. J.J Cilliers and P.R. Brito-Parada. "Multi-criteria decision making for the choice problem in mining and mineral processing: Applications and trends". Expert System with Application 121. 2019. pp 393-417. https://doi.org/10.1016/j.eswa.2018.12.001

D.R.A. Saputro and Annisa. "Implementation of Borda Clustering to Form Zakat Receiving Villages Clusters Based on Region Potency in Indonesia." 2020 International Conference on Computer Science and Its Application in Agriculture (ICOSICA). doi: 10.1109/ICOSICA49951.2020.9243223

Peng D. Wang J. Liu D. Liu Z. An Improved EDAS Method for the Multi-Attribute Decision Making Based on the Dynamic Expectation Level of Decision Makers. Symmetry. 2022; 14(5):979. https://doi.org/10.3390/sym14050979

S.Guercini. A. L Rocca and I. Snehota."Decisions when interacting in customer-supplier relationships". Industrial Marketing Management.

Volume 105 (2022). pp 380-387.ISSN 0019-8501.https://doi.org/10.1016/j.indmarman.2022.06.019.

F.D. Ahmed and M.A.Majid. "Towards agent-based petri net decision making modelling for cloud service composition: A literature survey". Journal of Network and Computer Applications 130 (2019) 14–38. doi: 10.1016/j.jnca.2018.12.001

M.Cinelli. M.Kadziński. G.Miebs. M. Gonzalez and R.Słowiński."Recommending multiple criteria decision analysis methods with a new taxonomy-based decision support system". European Journal of Operational Research. Volume 302. Issue 2 (2022). pp 633-651. ISSN 0377-2217.https://doi.org/10.1016/j.ejor.2022.01.011.

M.C Pietronudo. G. Croidieu. F.Schiavone."A solution looking for problems? A systematic literature review of the rationalizing influence of artificial intelligence on decision-making in innovation management". Technological Forecasting and Social Change. Volume 182 (2022) 1828.ISSN 0040-1625. https://doi.org/10.1016/j.techfore.2022.121828.

L. Hoekx. F. Lambrechts. P.Vandekerkhof. W. Voordeckers and H.Frank."The influence of familiness on decision-making quality in top management teams: The role of emotional dissonance and perceived team support". Journal of Family Business Strategy (2022). ISSN 1877-8585. https://doi.org/10.1016/j.jfbs.2022.100538.

J.A.P Amorocho and T. Hartmann."A multi-criteria decision-making framework for residential building renovation using pairwise comparison and TOPSIS methods". Journal of Building Engineering. Volume 53 (2022). 104596. ISSN 2352-7102. https://doi.org/10.1016/j.jobe.2022.104596.

E. Yildirim. I. Murat AR. M.Dabić. B.Baki and I.Peker." A multi-stage decision making model for determining a suitable innovation structure using an open innovation approach". Journal of Business Research. Volume 147 (2022). pp 379-391. ISSN 0148-2963. https://doi.org/10.1016/j.jbusres.2022.03.063.

A.M. Pereira. J. Antão B. Moura. Evandro De B. Costa. T.Vieira. André R.D.B. Landim. E.Bazaki and V.Wanick."Customer models for artificial intelligence-based decision support in fashion online retail supply chains". Decision Support Systems. Volume 158 (2022). 113795.ISSN 0167-9236. https://doi.org/10.1016/j.dss.2022.113795.

J. Wang. X.Ma. Z.Xu. W.Pedrycz and J.Zhan. "A three-way decision method with prospect theory to multi-attribute decision-making and its applications under hesitant fuzzy environments. Applied Soft Computing. Volume 126(2022).109283. ISSN 1568-4946. https://doi.org/10.1016/j.asoc.2022.109283.

E.Zimmermann. T.T. Mezgebe. H.B.E. Haouzi. P.Thomas. R. Pannequin and M.Noyel. "Multicriteria decision-making method for scheduling problem based on smart batches and their quality prediction capability". Computers in Industry. Volume 133 (2021). 103549.ISSN 0166-3615. https://doi.org/10.1016/j.compind.2021.103549.

T.Ekin and T.Aktekin. "Decision making under uncertain and dependent system rates in service systems". European Journal of Operational Research. Volume 291. Issue 1 (2021). pp 335-348. ISSN 0377-2217. https://doi.org/10.1016/j.ejor.2020.09.005.