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All Journal Jurnal Informatika Universitas Pamulang Jurnal Teknoinfo
Yessica Putri Santoso
Universitas Bunda Mulia
Computer Science & IT

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Implementasi Metode K-Means Clustering pada Sistem Rekomendasi Dosen Tetap Berdasarkan Penilaian Dosen Yessica Putri Santoso; Marlina Marlina; Halim Agung
Jurnal Informatika Universitas Pamulang Vol 3, No 4 (2018): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (417.747 KB) | DOI: 10.32493/informatika.v3i4.2133

Abstract

Qualified lecturers can be one of the recommendations for lecturers to become permanent lecturers. The requirement to become a lecturer is to be able to teach, educate, and broaden the horizons of the students he teaches. One way to get qualified lecturers is to evaluate the performance of lecturers at the end of each semester, to find out whether the lecturer has a good performance or not. The use of the K-means clustering method as a system aide in determining lecturer recommendations will greatly assist the university in appointing lecturers as permanent lecturers. The way to work on the K-means clustering method is to find the centroid value in the value of each lecturer and in the process of getting a permanent lecturer candidate. In the results of the calculation of the K-means clustering method for 70 lecturers' assessment data in the system, which included a decent category there were 39 data. In this case, the success rate of the K-means clustering method was obtained at 55.71% success rate.
ANALISIS PENGARUH WEBSITE FASHION MACADAMIA HOUSE TERHADAP KEPUASAN KONSUMEN DENGAN METODE WEBQUAL 4.0 Marlina - Marlina; Yessica Putri Santoso; Kelvin - Kelvin; Johanes Fernandes Andry
Jurnal Teknoinfo Vol 13, No 2 (2019): Juli
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jti.v13i2.215

Abstract

Teknologi memberikan dampak yang besar dalam bisnis e-commerce secara global, salah satunya dalam dunia e-commerce yaitu bisnis fashion Macadamia House. Macadamia House menggunakan internet dalam teknik penjualannya, penjualan Macadamia House menggunakan website. Tampilan website membuat customer menjadi tertarik dan puas ketika mengakses website Macadamia House. Kepuasan customer dapat diukur dengan metode Webqual, skala likert, dan uji hipotesis yang terbagi menjadi dua yaitu uji deskritif statistik dan uji Importance Performance Analysis, yang dapat dijelaskan melalui kepuasan konsumen terhadap bisnis fashion Macadamia House. Dalam uji deskritif statistik dapat dilihatnya hasil mean tertinggi yang menunjukkan bahwa konsumen puas terdapat pada kategori usability, dan uji Importance Performance Analysis menyatakan bahwa pada kuadran A dan kuadran C memiliki total 10 faktor yang harus ditingkatkan kedepannya. Kata Kunci: E-commerce, Likert, Hipotesis, Webqual, Website
Co-Authors Halim Agung Johanes Fernandes Andry Kelvin - Kelvin Marlina - Marlina Marlina Marlina