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Jurnal Sains dan Informatika
Article . 2019 . Peer-reviewed
License: CC BY NC SA
Data sources: Crossref
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Penerapan Skala Likert dan Skala Dikotomi Pada Kuesioner Online

Authors: Viktor Handrianus Pranatawijaya; Widiatry Widiatry; Ressa Priskila; Putu Bagus Adidyana Anugrah Putra;

Penerapan Skala Likert dan Skala Dikotomi Pada Kuesioner Online

Abstract

Proses pengumpulan data dalam penelitian survey merupakan hal yang sangat penting. Penelitian berbasis survey membutuhkan instrumen pengumpulan data berupa kuesioner. Selama ini peneliti atau surveyor melakukan pengumpulan data secara manual yaitu dengan mencetak kuesioner dan menyebarkannya dengan mendatangi satu persatu responden. Hal ini memakan waktu yang lama dan biaya yang besar sehingga menjadi masalah utama yang dihadapi dalam pengumpulan data dengan kuesioner. Untuk mengatasi masalah tersebut dibutuhkan suatu aplikasi yang dapat membantu surveyor dalam melakukan survey secara online. Penelitian ini bertujuan untuk merancang dan membangun aplikasi kuesioner online berbasis web dengan meggunakan metode waterfall dengan tahapan analysis, design, implementation, testing dan maintanance. Pemodelan sistem dan basis data meggunakan Data Flow Diagram (DFD) dan Entity Relationship Diagram (ERD). Bahasa Pemrograman yang digunakan yaitu, HTML, PHP, CSS, Java Script, dan untuk databasenya menggunakan MySQL. Skala pengukuran yang digunakan dalam perancangan kuesioner menggunakan skala likert dan skala guttman. Aplikasi ini memiliki 3 hak akses yaitu, admin, surveyor dan pengunjung/responden. Dengan adanya aplikasi diharapkan ini proses pengumpulan data dengan kuesioner dapat lebih efektif dan efisien.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
77
Top 1%
Top 1%
Top 10%
hybrid