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All Journal International Journal of Advances in Applied Sciences Scientific Journal of Informatics Prosiding SI MaNIs (Seminar Nasional Integrasi Matematika dan Nilai-Nilai Islami) JOIV : International Journal on Informatics Visualization Creative Information Technology Journal Techno Nusa Mandiri : Journal of Computing and Information Technology JURNAL ILMIAH INFORMATIKA JurTI (JURNAL TEKNOLOGI INFORMASI) Informatik : Jurnal Ilmu Komputer CSRID (Computer Science Research and Its Development Journal) Jurnal Teknologi Informasi dan Terapan (J-TIT) Informatika Indonesian Journal of Business Intelligence (IJUBI) IJIIS: International Journal of Informatics and Information Systems BERNAS: Jurnal Pengabdian Kepada Masyarakat Journal of Applied Data Sciences International Journal of Computer and Information System (IJCIS) Jurnal Teknologi Sistem Informasi dan Sistem Komputer TGD International Journal of Robotics and Control Systems Jurnal Pengabdian Masyarakat IPTEK Jurnal Ilmiah Edutic : Pendidikan dan Informatika SAGA: Journal of Technology and Information Systems Bangun Desa : Jurnal Pengabdian Masyarakat Jurnal Medika: Medika Journal of Intelligent Systems and Information Technology Jurnal Sistem Informasi dan Teknologi Informasi Inovate : Jurnal Ilmiah Inovasi Teknologi Informasi Jurnal Esensi Infokom : Jurnal Esensi Sistem Komputer dan Informasi
Pujo Hari Saputro
Sam Ratulangi University
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Immunology & microbiology Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Veterinary Other

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Journal : creative information technology journal

 1 
Penerapan Metode K-Means Klustering Untuk Menentukan Kepuasan Pelanggan Musthofa Galih Pradana; Azriel Christian Nurcahyo; Pujo Hari Saputro
Creative Information Technology Journal Vol 7, No 1 (2020): Januari - Juni
Publisher : UNIVERSITAS AMIKOM YOGYAKARTA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24076/citec.2020v7i1.185

Abstract

Pengolahan data dapat dilakukan dengan banyak cara dan teknik. Peran data saat ini menjadi sangat penting bagi sebuah perusahaan atau penyedia layanan untuk pelanggan. Pentingnya data saat ini menjadikan proses pengolahan data dilakukan secara mandiri menggunakan metode-metode data mining yang ada. Beberapa metode yang dapat diterapkan diantaranya klasifikasi, prediksi maupun klustering. Masing-masing teknik tersebut memiliki hasil yang dapat dijadikan acuan evaluasi dan perencanaan yang lebih baik lagi. Penelitian ini menerapkan teknik klustering yaitu memisahkan dan mengelompokan data berdasarkan kluster. Dalam klustering ada banyak algortima atau metode yang dapat diterapkan, salah satunya adalah K-Means Klustering. Algoritma K-Means merupakan algoritma yang banyak digunakan untuk mengelompokan data. Hasil dari penelitian ini terbagi menjadi 2 kluster yaitu Kluster 0 yaitu puas dan Kluster 1 yaitu tidak puas ataupun netral. Pengelompokan kluster tersebut berdasarkan dataset yang dimiliki dimana responden mengisi data dan menghasilkan 2 jenis kluster tersebut. Adapun hasil dari proses klustering adalah sebanyak 1303 data masuk kategori kluster 0 atau sebesar 65% dan 697 data masuk kategori kluster 1 atau sebesar 35%. Kata Kunci— Data Mining, Klustering, K-MeansData processing can be done in many ways and techniques. The role of data is now very important for a company or service provider for customers. The importance of data now makes data processing carried out independently using existing data mining methods. Some methods that can be applied include classification, prediction and clustering. Each of these techniques has results that can be used as a reference for evaluation and better planning. This study applies clustering techniques, namely separating and grouping data based on clusters. In clustering there are many algorithms or methods that can be applied, one of which is K-Means Klustering. K-Means algorithm is an algorithm that is widely used to group data. The results of this study are divided into 2 clusters, namely Cluster 0, which is satisfied and Cluster 1, which is not satisfied or neutral. Clustering is based on a dataset that is owned by where the respondent fills in data and produces 2 types of clusters. The results of the clustering process are as many as 1303 data in the category of cluster 0 or 65% and 697 data in the category of cluster 1 or 35%. Keywords— Data Mining, Clustering, K-Means
Co-Authors A'yun, Riza Shinta Qurrota Aditiarno Manik Afny Rewur Ahmad Sulaiman Ahmad Sulaiman, Ahmad Airlangga, Gregorius Alamsyah - Allo, Yusi Meilany Kendek Amsy, M.R Mutawakkil Anas, Syukron Anisa Lia Viantina Arbiati Faizah Arbiati Faizah Arbiati Faizah Ardhyansyah Mualo Asep Rahman Audia Endondaya Kalambia Augusta Jannatul Firdaus Batubara, Saimarrasoki Dhina Puspasari Wijaya, Dhina Puspasari Djoko Budiyanto, Djoko Dyah Listianing Tyas, Dyah Listianing Dyah ListianingTyas Fajar Salinding Buntu Payuk Fatonah, Umti Fithratul Zalmi, Wahyuni Fransisca Joanet Pontoh Geraldy Kevin Gutama, Deden Hardan Henki Bayu Seta Herlino Nanang Izzatul Umami Jonathan Sitanggang Juan Natanel Makasunggal Julius Bata Kevin Leatemia Lazulfa, Indana Lintang Patria Lisa Wardiyana Luqmanul Hakim M Fadhel Nurmidin M.R Mutawakkil Amsy Makin, See Jong Michael Aristian Musthofa Galih Pradana Narulita Wulandari Nindy Irzavika Nita Silvianah Norris Elden Salassa Nugroho, Oskar Ika Adi Nur Arifin Nur Rachman Dzakiyullah Nurcahyo, Azriel Christian Olivia Maria Tumurang, Olivia Maria Paendong, Indah Prisilia Pamekas, Bondan Wahyu Pontoh, Fransisca Joanet Reinhard Komansilan Rendy Syahputra Reza Augusta J.F Riza Shinta Qurrota A'yun Rizal Sengkey Rizal Sengkey Rouzi, Kana Safrina Roy, Andi Rumui, Nelson Rusiyono, Ruwet Saimarrasoki Batubara Sari, Susi Nopita Silvianah, Nita Siti Zubaidah Sitompul, Bernard Jumadi Dehotman Sri Seprianto Maddusa Sugianto, Lai Ferry Susi Nopita Sari Syaiful Imron Tumurang, Olivia Maria Tumurang Umti Fatonah Viantina, Anisa Lia Victor Tarigan Wahyuni Fithratul Zalmi Wahyuni Fithratul Zalmi Wardiyana, Lisa Widoyoningrum, Sri Wulandari, Narulita