FURNITURE ORDERING MARKETPLACE WITH TENDER SYSTEM USING TOPSIS FOR PICKING WINNER RECOMMENDATION

Devi Dwi Purwanto, Kevin - Hongary

Abstract


The use of technology in custom furniture sales is still not utilized to its full potential. A problem is going on inside society, namely that no application helpsthe custom furniture ordering process. There is a problemwhere the buyer has difficulty finding a craftsmanto accept custom furniture according to their wishes in large quantities at competitive prices and quality, and vice versa. Craftsmen had difficulty finding willing buyersto make purchases of custom furniture. This marketplace canhelp with these problems by helping buyersand craftsmen carry out custom furniture transactions safely.

Consumers can offer custom orders to craftsmen through the application by stating the specifications, and interested craftsmen can submit offers in terms of price, processing time, quantity, and other agreements, which will be stated in the contract when the transaction occurs. This contract will protect the rights and obligations of customers and craftsmen. On the other hand, consumers are given recommendations for craftsmen using the TOPSIS method, considering the quality of work obtained from the rating, the price offered, working time, and the credibility of the craftsmen's experience.

With this marketplace, 60% agree that it makes it easier to bring together customers and craftsmen to make custom furniture. 70% satisfied that the working progress feature helps buyers to know custom furniture progress status and reduce ordering errors. The TOPSIS method helps customers make decisions/selection of craftsmen with a precision of 67.58%.


Save to Mendeley


Keywords


Tender; TOPSIS; MAP Evaluation; Recommender System

Full Text:

PDF

References


Abraham, Martin & Deng, Wu & McGuffin-Cawley, James. (2017). Encyclopedia of Sustainable Technologies. Elsevier.

Angga, K.P et al. (2017). Rancang Bangun Aplikasi Marketplace penyedia jasa les private di kota Pontianak Berbasis Web. Jurnal Sistem dan Teknologi Informasi, 5(1),22-26.

Apriadi, Deni, Saputra, A.Y. (2017). E-Commerce Berbasis Marketplace Dalam Upaya Mempersingkat Distribusi Penjualan Hasil Pertanian. Rekayasa Sistem dan Teknologi Informasi, 1 ( 2), 131-136.

H. Liu, et al (2015), Context-Based Collaborative Filtering for Citation Recommendation, in IEEE Access, vol. 3, pp. 1695-1703, https://doi.org/10.1109/ACCESS.2015.2481320.

Majid Behzadian, et al (2012). A state-of the-art survey of TOPSIS applications, Expert Systems with Applications, 39(17), 13051-13069. https://doi.org/10.1016/j.eswa.2012.05.056

Malik, Alfian. 2010. Pengantar Bisnis Jasa Pelaksana Konstruksi. Yogyakarta: Penerbit Andi.

Masitah, D. (2016). Analisa Kegagalan pada Proses Tender Pekerjaan Konstruksi di PT. X. https://repository.its.ac.id/75684/1/4312100023-Undergraduate_Thesis.pdf

Musrini, Mira, Umaroh Sofia, & Arifini, A.A. (2020). Decision Suppport System Using TOPSIS Method for Smartphone Selection. 2nd Faculty of Industrial Technology International Congress International Conference (FoITIC), 270-276.

Papathanasiou, J., Ploskas, N. (2018). TOPSIS. In: Multiple Criteria Decision Aid . Springer Optimization and Its Applications, vol 136. Springer, Cham. https://doi.org/10.1007/978-3-319-91648-4_1

Purwanto, D. D., & Honggara, E. S. (2022). Klasifikasi Kategori Hasil Perhitungan Indeks Standar Pencemaran Udara dengan Gausian Naïve Bayes (Studi Kasus: ISPU DKI Jakarta 2020). INSYST: Journal of Intelligent System and Computation, 4(2), 102–108. https://doi.org/10.52985/insyst.v4i2.259

Saputra, P. A., & Gunawan, H. (2020). Sistem Pendukung Keputusan Penilaian Kinerja Helpdest DataManagement di PT. Telkom Witel Bandung Menggunakan Metode TOPSIS. Jurnal Accounting Information System (AIMS), 3 (2), 96-105.

Setiawansyah.(2022). Sistem Pendukung Keputusan Rekomendasi Tempat Wisata Menggunakan Metode TOPSIS. Jurnal Ilmiah Informatika dan Ilmu Komputer (JIMA-ILKOM), 1(2), 54-62

Roszkowska, E. (2011). Multi-criteria decision making models by applying the TOPSIS method to crisp and interval data. Multiple Criteria Decision Making/University of Economics in Katowice, 6(1), 200-230.

Trisnadi, D. (2018). Decision support system for project selection development using technique for order method of preference by similary to ideal solution (TOPSIS). JATI (Jurnal Mahasiswa Teknik Informatika) , 2 (1), 27-35.




DOI: https://doi.org/10.33508/rima.v7i1.5768