Abstract

At an event, the event organizer usually requires guest stars as performers. Event organizers often find it difficult to find a guest star that suits their needs for their event. The purpose of this research is to build an e-marketplace application as a web-based decision support system that can be used to find alternative decisions to choose guest stars according to the criteria using product weighting methods. The weighted product method is one of the methods that can be applied to web-based decision support system applications for determining guest stars in e-marketplaces. There are three criteria used to determine guest stars in this e-marketplace, these criteria are the type of show, price and location. As for the alternatives that were tested, there were nine alternatives consisting of guest stars in Yogyakarta. Functionality testing is carried out using the black box method and the result is that all functions and validation buttons on the e-marketplace can function properly. The result of calculation using the weighted product method is the guest star with the highest yield is Frengki Sermadi with a value of 0.135234, while the guest star with the lowest result is Sanggar Titik Dua with a value of 0.083222.

Highlights

  • At an event, the event organizer usually requires guest stars as performers

  • find a guest star that suits their needs for their event

  • find alternative decisions to choose guest stars according to the criteria using product weighting methods

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Summary

Metodologi Penelitian

Rujukan Data penelitian diperoleh dari kuisioner yang diajukan kepada responden. Responden tersebut berasal dari pihak-pihak yang sering mengadakan sebuah event yang berjumlah 36 responden. Kemudian data yang sudah didapatkan digunakan untuk menentukan urutan prioritas setiap kriteria, mana kriteria yang menjadi prioritas utama dan mana yang prioritas akhir. Kemudian kriteria diproses untuk melakukan perhitungan dalam menentukan guest star melalui metode WP. Kriteria yang digunakan dalam penentuan guest star ini ada 3 kriteria, yaitu jenis pertunjukan, harga, dan kemudian jarak atau dalam sistem disebut lokasi. Responden memilih jenis pertunjukan sebagai prioritas kriteria yang paling utama yaitu dengan jumlah pemilih 19 responden, dengan presentase sebesar 52.8%. Sedangkan untuk prioritas kriteria nomer dua adalah harga dengan jumlah pemilih sebanyak 10 responden, dengan presentase sebesar 27.8%. Dan yang terakhir adalah jarak dengan pemilih 7 responden, dengan presentase sebesar 19.4%. Langkah perhitungan WP sebagai berikut: Penentuan nilai W : Wi. W adalah bobot dari setiap kriteria. 2.2 Prinsip Kerja Sistem Perinsip kerja sistem dalam penelitian akan dijelaskan menggunakan flowchart dan data flow diagram

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