Institutional Repository | Satya Wacana Christian University: Fuzzy Multi Attribute Decision Making – Simple Additive Weighting for Information Retrieval in Ecommerce Recommendation

(1)

Fuzzy Multi Attribute Decision Making

–

Simple Additive

Weighting (MADM-SAW) for Information Retrieval (IR)

in E-Commerce Recommendation

Mychael Maoeretz Engel1_{, Wiranto Herry Utomo}2_{and Hindriyanto Dwi Purnomo}3 1

Faculty of Information Technology, Universitas Kristen Satya Wacana Jl. Diponegoro 52-60, Salatiga 50711, Indonesia

[email protected]

2_{Faculty of Information Technology, Universitas Kristen Satya Wacana} Jl. Diponegoro 52-60, Salatiga 50711, Indonesia

3

Faculty of Information Technology, Universitas Kristen Satya Wacana Jl. Diponegoro 52-60, Salatiga 50711, Indonesia

Abstract

E-commerce has been rapidly in demand because of the sufficient easy features provided. However this easy access raises some new dilemma s for the potential buyers determining which e-commerce to choose, as well as understanding the most trusted and recommended e-commerce existed. Five criteria can be used to be help in determining the good quality e-commerce recommendations, include the value of feedback and reviews, the reputation of the online shop, the price of the product, the number of products sold from the online shop, and the content of the product. This research produces a fuzzy multi attribute decision making-simple additive weighting (MADM-SAW) model for information retrieval (IR) on ecommerce recommendations, where fuzzy calculation results are the alternative end value in e-commerce recommendations. The research method used in this research is the Research and Development (R&D) method that is only done on trial product or limited trial only. So then, based on the experimental results, it is found that content not only matches the search query, but there is also a comparative information about the satisfactory value of the product feedback and reviews, the reputation of the online shop, the reliable price of the product, and the number of products sold from the online store.

Keywords—E-Commerce, Fuzzy MADM-SAW, Information Retrieval, Recommendation

Abstrak

E-commerce semakin diminati masyarakat karena kemudahan yang diberikan, namun akses yang

mudah ini menimbulkan beberapa dilema baru bagi calon pembeli menentukan e-commerce mana yang akan dipilih, memahami e-commerce yang dapat dipercaya dan direkomendasikan. Lima kriteria yang menjadi pertimbangan dalam menentukan rekomendasi e-commerce yang baik antara lain nilai ulasan barang, nilai reputasi toko online, harga produk, jumlah produk terjual dari toko

online, dan kesesuaian isi konten. Penelitian ini menghasilkan sebuah model fuzzy multi attribute

decision making-simple additive weighting (MADM-SAW) untuk information retrieval (IR) pada

rekomendasi e-commerce, dimana hasil perhitungan fuzzy adalah nilai akhir alternatif dalam rekomendasi e-commerce. Metode penelitian yang digunakan dalam penelitian ini adalah metode

Research and Development (R&D) yang hanya dilakukan pada ujicoba produk atau ujicoba terbatas

saja. Berdasarkan hasil eksperimen didapatkan rekomendasi yang isi kontennya tidak hanya sesuai dengan query pencarian, tetapi juga terdapat informasi perbandingan tentang nilai ulasan barang yang memuaskan, nilai reputasi toko online yang baik, harga produk yang sesuai, dan jumlah produk yang sudah terjual dari toko online.