Penerapan Teknik Single Linkage Dalam Klasterisasi Mahasiswa Berdasarkan Indikator Pembidangan Skripsi
Abstract
Pelita Nusantara Medan STMIK Computer Informatics study program provides several fields of science that students can choose in completing their final thesis in the form of a thesis. During this time in its implementation, the determination of the field of this thesis was chosen by the student who will submit the thesis title as one of the requirements to obtain a bachelor's degree at STMIK Pelita Nusantara Medan without any direction from the campus either from the academic department or the head of the study program. Therefore, not a few students who ultimately choose a field of science that is not in accordance with their abilities. Based on the existing problems regarding the development of this thesis, a student clustering system was made based on the indicators of thesis development by applying one of the data mining methods, namely clustering, where the technique used was the Single Linkage Technique. Single Linkage Technique is a way to group objects or individuals based on criteria similarity size or closest distance between objects (minimum distances). Thus, the results of clustering (clustering) that are designed can help the academic STMIK Pelita Nusantara Medan, especially the Chairperson of the Computer Informatics Study Program in directing students in the determination of the field of thesis so that students choose the field of thesis in accordance with their abilities
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References
R. Handoyo et al., “Perbandingan Metode Clustering Menggunakan Metode Single Linkage Dan K-Means Pada Pengelompokan Dokumen,” JSM STMIK Mikroskil, vol. 15, no. 2, pp. 73–82, 2014.
F. N. Adhiatma et al., “PERANCANGAN DAN ANALISIS CLUSTERING DATA MENGGUNAKAN METODE SINGLE LINKAGE UNTUK BERITA BERBAHASA INGGRIS DESIGN AND ANALYSIS OF DATA CLUSTERING USING SINGLE LINKAGE,” vol. 3, no. 2, pp. 2285–2291, 2016.
J. Ilmiah, I. Komputa, E. Volume, B. Issn, and J. D. Bandung, “PENERAPAN DATA MINING UNTUK MEMBENTUK KELOMPOK BELAJAR MENGGUNAKAN METODE CLUSTERING DI SMPN 19 BANDUNG Andre Catur Prasetyo Jurnal Ilmiah Komputer dan Informatika ( KOMPUTA ).”
S. Kasus, U. Dehasen, S. Haryati, A. Sudarsono, and E. Suryana, “IMPLEMENTASI DATA MINING UNTUK MEMPREDIKSI MASA STUDI MAHASISWA MENGGUNAKAN ALGORITMA C4 . 5,” vol. 11, no. 2, pp. 130–138, 2015.
S. Haryati, A. Sudarsono, and E. Suryana, “Implementasi Data Mining Untuk Memprediksi Masa Studi Mahasiswa Menggunakan Algoritma C4.5 (Studi Kasus: Universitas Dehasen Bengkulu),” J. Media Infotama Vol., vol. 11, no. 2, pp. 130–138, 2015.
R. Handoyo et al., “Perbandingan Metode Clustering Menggunakan Metode Single Linkage Dan K-Means Pada Pengelompokan Dokumen,” JSM STMIK Mikroskil, vol. 15, no. 2, pp. 73–82, 2014.
J. Hartono, “Analisis Dan Desain Sistem Informasi,” II., Yogyakarta: Andi, 1999, p. 795.
D. P. Utomo and B. Purba, "Penerapan Datamining pada Data Gempa Bumi Terhadap Potensi Tsunami di Indonesia," Prosiding Seminar Nasional Riset Information Science (SENARIS), vol. 1, pp. 846-853, 2019.
R. Amelia and D. P. Utomo, "ANALISA POLA PEMESANAN PRODUK MODERN TRADE INDEPENDENT DENGAN MENEREPAKAN ALGORITMA FP. GROWTH (STUDI KASUS: PT. ADAM DANI LESTARI)," KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer), vol. 3, no. 1, pp. 416-423, 2019.
D. P. Utomo and M. Mesran, "Analisis Komparasi Metode Klasifikasi Data Mining dan Reduksi Atribut Pada Data Set Penyakit Jantung," JURNAL MEDIA INFORMATIKA BUDIDARMA, vol. 4, no. 2, pp. 437-444, 2020.
M. A. Puspa, "Implementasi Data Mining Klasifikasi Algoritma C4.5 Dalam Perekrutan Perangkat Desa," Building of Informatics, Technology and Science (BITS), vol. 1, no. 2, pp. 92-97, 2019.
Mariani, "Implementasi Algoritma Apriori Pada Persediaan Barang Minuman Larutan Cap Kaki Tiga (Studi Kasus: PT Adyajati Lestari)," Building Informatics, Technology and Science (BITS), vol. 1, no. 1, pp. 7-27, 2019.
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