Penerapan K-Means Clustering dalam Pengelompokan Data (Studi Kasus Profil Mahasiswa Matematika FMIPA UNM)

A. Zaki, I. Irwan, Imanuel Agung Sembe
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引用次数: 1

Abstract

Penelitian ini adalah penelitian terapan yang bertujuan untuk mengetahui cluster yang ada pada mahasiswa jurusan Matematika FMIPA UNM menggunakan K-Means Clustering. Metode penelitian ini adalah studi literatur. Hasil penelitian diperoleh 4 cluster dimana durasi belajar mandiri dan IPK dari tertinggi ke terendah berturut-turut adalah Cluster 1, Cluster 2, Cluster 4, dan Cluster 3. Cluster 1 didominasi mahasiswa SBMPTN, Semester 3, dengan rata-rata berumur 19,20 tahun, durasi belajar mandiri 2,49 jam, 23,97 SKS, IPS 3,69, dan IPK 3,67.  Cluster 2 didominasi mahasiswa SBMPTN, Semester 1, dengan rata-rata berumur 18,08 tahun, durasi belajar mandiri 2,07 jam, 22 SKS, dan IPK 3,63. Cluster 4 didominasi mahasiswa MANDIRI, Semester 5, dengan rata-rata berumur 19,78 tahun, durasi belajar mandiri 1,89 jam, 21,62 SKS, IPS 3,48, dan IPK 3,36. Cluster 3 didominasi mahasiswa SBMPTN dan IPS 3,64, SNMPTN bersama-sama, Semester 3, dengan rata-rata berumur 18,52 tahun, durasi belajar mandiri 1,29 jam, 21,87 SKS, IPS 3,13, dan IPK 3,19. Variabel yang paling berpengaruh dalam pembentukan cluster secara berturut-turut adalah Semester, Jumlah SKS, IPK, Umur, IPS, Rata-rata Durasi Belajar Mandiri, dan Jalur Masuk.   Kata Kunci: Cluster, K-Means Clustering, IPK, Durasi Belajar Mandiri.This research is an applied research that aims to determine the existing clusters in students majoring in Mathematics FMIPA UNM using K-Means Clustering. This research method is literature study. The results obtained 4 clusters where the duration of self-study and the GPA from the highest to the lowest were Cluster 1, Cluster 2, Cluster 4, and Cluster 3. Cluster 1 was dominated by SBMPTN students, Semester 3, with an average age of 19.20 years, duration of independent study 2.49 hours, 23.97 course credits, IPS 3.69, and IPK 3.67. Cluster 2 is dominated by SBMPTN students, Semester 1, with an average age of 18.08 years, independent study duration 2.07 hours, 22 course credits, IPS 3.64, and IPK 3.63. Cluster 4 is dominated by MANDIRI students, Semester 5, with an average age of 19.78 years, duration of independent study 1.89 hours, 21.62 course credits, IPS 3.48, and IPK 3.36. Cluster 3 is dominated by SBMPTN and SNMPTN students together, Semester 3, with an average age of 18.52 years, duration of independent study 1.29 hours, 21.87 course credits, IPS 3.13, and IPK 3.19. The most influential variables in the formation of clusters are Semester, Number of Course Credits, IPK, Age, IPS, Average Duration of Independent Study, and Pathway.Keywords: Cluster, K-Means Clustering, IPK, Duration of Independent Learning
数据分组中k - memeing的应用(FMIPA UNM数学系学生概要案例研究)
这项研究是一项应用研究,旨在确定FMIPA UNM数学专业学生聚意味着什么。本研究方法是文学研究。研究结果是4个集群,其中自发性和gpa从高到连续最低的是集群1、集群2、集群4和集群3。集群1以19 - 20岁为特征的SBMPTN学生,平均年龄为19.20岁,自学时间为2.49小时,23 - 97 SKS, IPS 3.69, gpa 3.67。集群2是主要的SBMPTN学生,第一学期,平均年龄为18.08岁,自学时间为2.07小时,22 SKS,平均绩点为3.63。集群4是主要的独立学生,第5学期,平均年龄为1978岁,学习时间为1.89小时,21.62 SKS, IPS 3.48, gpa 3.36。集群3是主要的学生SBMPTN和IPS 3.64, SNMPTN在一起,第三学期,平均年龄为18.52岁,自学时间为1.29小时,21.87 SKS, IPS 3.13, gpa 3.19。集群形成中影响最大的变量是学期、SKS的数量、gpk、年龄、IPS、平均自学时间和登录时间。关键词:聚类,意指聚类,平均绩点,独立学习时间。这项研究是一项应用研究,旨在确定学生中存在的知识分子在数学方面的知识。这个研究方法是文学研究。结果包括4个群体,即自我研究的结果和从最高层到失败者的GPA是集群1、集群2、集群4和集群3。集群1被SBMPTN学生控制,第三学期,平均19.20年,独立学习2.49小时,23.97课程学分,IPS 3.69, gpa 3.67。星系团2被SBMPTN学生控制,第一学期,平均18年8年,7小时2第四组是由独立学生控制的,第5学期,平均19.78年,21小时21.62个独立学习课程,IPS 3.48和gpa 3.36。集群3控制于SBMPTN和SNMPTN一起学习,第三学期,平均年龄为18。52年,21小时29小时,IPS 3.13和gpa 3.19。最具影响力的变化在形成学期,成绩,平均成绩,年龄,年龄,对独立研究的平均对等。Keywords:集群,k -意思是集合体,IPK,独立学习的演绎
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