Pengukuran Performa Website C2C E-commerce di Indonesia dengan Menggunakan Metode Analytical Hierarchy Process

Aziz, Umar Abdul (2018) Pengukuran Performa Website C2C E-commerce di Indonesia dengan Menggunakan Metode Analytical Hierarchy Process. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Aktifitas transaksi online menggunakan e-commerce di Indonesia semakin meningkat. Hal tersebut mendorong tiap praktisi C2C e-commerce untuk membuat inovasi baru pada website mereka dalam menarik penggunanya. Namun jika inovasi tersebut menyebabkan delay atau kegagalan fungsi websitenya, pengguna dapat beralih ke website kopetitor. Hal tersebut juga mengakibatkan pengguna mengingat pengalaman buruk tersebut dan membuat mereka tidak pernah kembali. Pada penelitian ini, penulis akan melakukan penilaian performa sepuluh website C2C e-commerce di Indonesia dengan menggunakan metode AHP. Kriteria penilaian yang digunakan adalah load time, page size, number of item, availability, broken links, traffic, design optimization, dan markup validation. Dari studi ini, disimpulkan bahwa website yang memiliki performa paling baik adalah OLX. =============== The activity of online transaction using e-commerce in Indonesia is increasing. It encourages every C2C e-commerce practitioner to create new innovations on their website in order to attract users. But if the innovation causes delay or malfunction to their website, the user might switch to their competitor's website and may not return. In this study, the authors will conduct a performance assessment of ten C2C e-commerce websites in Indonesia by using AHP method. The assessment criteria are load time, page size, number of items, availability, broken links, traffic, design optimization, and markup validation. From this study, it is concluded that the website that has the best performance is OLX.

Item Type: Thesis (Undergraduate)
Uncontrolled Keywords: C2C e-commerce, website performance, customer satisfaction, customer relationship management
Subjects: H Social Sciences > HF Commerce > HF5548.32 Electronic commerce.
T Technology > T Technology (General) > T58.62 Decision support systems
Divisions: Faculty of Information Technology > Information System > (S1) Undergraduate Theses
Depositing User: Umar Abdul Aziz
Date Deposited: 20 Aug 2018 03:07
Last Modified: 20 Aug 2018 03:07
URI: http://repository.its.ac.id/id/eprint/52471

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