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All Journal International Journal of Advances in Applied Sciences Lontar Komputer: Jurnal Ilmiah Teknologi Informasi Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) RABIT: Jurnal Teknologi dan Sistem Informasi Univrab Widya Cipta : Jurnal Sekretari dan Manajemen Applied Information System and Management JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) International Journal of Advances in Data and Information Systems Journal of Applied Data Sciences Jurnal Altifani Penelitian dan Pengabdian kepada Masyarakat Jurnal Janitra Informatika dan Sistem Informasi LEBAH Journal of Information System and Education Development
Malik, Rio Andika
Universitas Perintis Indonesia
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Journal : Journal of Information System and Education Development

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Pengukuran Tingkat Kepuasan Mahasiswa Terhadap Pelayanan di Kantin Kampus Menggunakan Algoritma K-means Clusterring Carelsa, Hasnah Vithon; Malik, Rio Andika; Putra, Dwipa Junika
Journal of Information System and Education Development Vol. 1 No. 3 (2023): Journal of Information System and Education Development
Publisher : Manna wa Salwa Foundation (Yayasan Manna wa Salwa)

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Abstract

The K-means Clustering algorithm technique is being used in this study to gauge how satisfied students in the Universitas Perintis Indonesia Digital Business programme are with the cafeteria's offerings. The study focuses on customer service characteristics such meal quality, cost, speed of service, cleanliness, and comfort in the cafeteria setting. The goal of the research is to provide deeper insights into student expectations and preferences for cafeteria services by utilising K-means to uncover distinct satisfaction patterns among student groups. When used to measure student satisfaction with cafeteria services, the K-means Clustering method is successful at identifying groups of students who have similar patterns of satisfaction. Some student groups score food quality and cleanliness favourably, according to the clustering data, while other groups may be more critical. In light of the preferences of each student group, cafeteria management can use this data to develop more specialised plans for improving services. The study also shows that using the K-means Clustering method to evaluate customer satisfaction offers a potentially advantageous strategy for enhancing service quality across a variety of service sectors.
Co-Authors Anam, M Khairul Carelsa, Hasnah Vithon Dwipa Junika Putra Dwipa Junika Putra Elsa Widia Elva, Yesri Faizal Riza Firdaus, Muhammad Bambang Gunawan, Chichi Rizka Ikhsan Ikhsan Karfindo, Karfindo Mahessya, Raja Ayu Marta Riri Frimadani Marta Riri Frimadani Marta Riri Frimadani Marta Riri Frimadani Muzaki, M.Nabil Natrio, Yeyep Pandu Pratama Putra, Pandu Pratama Putra, Dwipa Junika Rinawati Kasrin, Rinawati Sarjon Defit Sarjon Defit Sri Mona Octafia Teri Ade Putra Vicky Setia Gunawan Werifmayeni, Annisa Wilis Firmansyah Yuhandri Yuhandri Yuhandri Yuhandri, Yuhandri