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Image of KLASTERISASI ABSTRAK SKRIPSI MAHASISWA FAKULTAS ILMU KOMPUTER.

Skripsi

KLASTERISASI ABSTRAK SKRIPSI MAHASISWA FAKULTAS ILMU KOMPUTER.

Maharani, Anindya Dewi - Personal Name;

Penilaian

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Penilaian anda saat ini :  

Currently, it is often found that the writing of thesis abstracts seems haphazard. The Faculty of Computer Science, Sriwijaya University, as an institution that organizes undergraduate education, is fully committed to improve the quality of its students by using thesis as a benchmark of students' abilities in their field of study. To maintain its consistency in the development of study programs, the Faculty of Computer Science, Sriwijaya University, requires the right strategy in the implementation of the study programs. This research applies the utilization of data mining science in processing the thesis data of computer science students to group thesis abstracts based on study programs (Information Systems, Informatics Engineering, and Computer Systems). Data processing, using the RapidMiner application, produces 3 thesis clusters based on the similarity between thesis abstracts. From the cluster analysis that had been conducted, it was found that each program has different characteristics of thesis abstracts in the form of words that often appear in abstracts. The findings of this study can serve as a guide for students who are currently preparing their thesis and as feedback for their thesis advisors to provide guidance in creating a good abstract.


Availability
Inventory Code Barcode Call Number Location Status
2307001821T104894T1048942023Central Library (Referens)Available
Detail Information
Series Title
-
Call Number
T1048942023
Publisher
Indralaya : Prodi Sistem Informasi, Fakultas Ilmu Komputer Universitas Sriwijaya., 2023
Collation
xvi, 91 hlm.; ilus.; 29 cm
Language
Indonesia
ISBN/ISSN
-
Classification
003.507
Content Type
Text
Media Type
unmediated
Carrier Type
-
Edition
-
Subject(s)
Teori komunikasi dan kontrol
Prodi Sistem Informasi
Specific Detail Info
-
Statement of Responsibility
MURZ
Other version/related

No other version available

File Attachment
  • KLASTERISASI ABSTRAK SKRIPSI MAHASISWA FAKULTAS ILMU KOMPUTER.
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