Pengelompokan Topik Skripsi Menggunakan Algoritma Agglomerative Hierarchical Clustering di Program Studi Sistem Informasi UPN Veteran Jawa Timur

Hoediansyah, Muhammad Evan (2023) Pengelompokan Topik Skripsi Menggunakan Algoritma Agglomerative Hierarchical Clustering di Program Studi Sistem Informasi UPN Veteran Jawa Timur. Undergraduate thesis, UPN Veteran Jawa Timur.

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Abstract

Thesis is a requirement that must be completed by all students to complete their studies and obtain a bachelor's degree. The UPN Veterans East Java Information Systems study program has two areas of thesis interest, namely Information Systems Management and Information Systems Solutions. Every year, the number of thesis research in the Information Systems study program is increasing and the thesis research titles are increasingly varied. This study aims to group thesis topics based on the Thesis Title and Keyword attributes using the Agglomerative Hierarchical Clustering algorithm. The data obtained came from the thesis coordinator with a range of years from 2019 to 2023. The data was then carried out in the text preprocessing stage, term weighting using TF-IDF, and dimensionality reduction using UMAP. The results of grouping thesis topics are then displayed in a website-based system using the Python programming language, HTML and the Flask framework. So that users such as students and lecturers can see thesis data as well as the results of grouping thesis in the Information Systems study program. From the research that has been done, the results show that the agglomerative hierarchical clustering algorithm is able to group thesis data quite well. As for the results of cluster evaluation using the silhouette coefficient method in the thesis title cluster, a silhouette coefficient value of 0.439 is obtained with an optimal number of clusters of 8 clusters and in keyword clusters a silhouette coefficient value of 0.487 is obtained with an optimal number of clusters of 5 clusters.

Item Type: Thesis (Undergraduate)
Contributors:
ContributionContributorsNIDN/NIDKEmail
Thesis advisorArifiyanti, Amalia AnjaniNIDN0712089201UNSPECIFIED
Thesis advisorPermatasari, ReisaNIDN0014059203UNSPECIFIED
Subjects: T Technology > T Technology (General) > T58.6-58.62 Management Information Systems
Divisions: Faculty of Computer Science > Departemen of Information Systems
Depositing User: Muhammad Evan Hoediansyah
Date Deposited: 05 Jun 2023 06:48
Last Modified: 05 Jun 2023 06:48
URI: http://repository.upnjatim.ac.id/id/eprint/14535

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