Penggunaan Algoritme T-Sne Pada Rancang Bangun Perbaikan Visualisasi Publikasi Data Peneliti Resits 2.0

Yusriya, Afia Hana (2022) Penggunaan Algoritme T-Sne Pada Rancang Bangun Perbaikan Visualisasi Publikasi Data Peneliti Resits 2.0. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Setiap tahun, peneliti (dosen) di Institut Teknologi Sepuluh Nopember akan mempublikasikan penelitiannya. Publikasi yang dilakukan dapat berupa konferensi/seminar, jurnal, buku, hasil penelitian, maupun hak kekayaan intelektual. Informasi seputar rekapan publikasi peneliti-peneliti tersebut dapat dicari dan dilihat di beberapa sistem informasi, seperti SINTA (Science and Technology Index) dan Scimago Journal Ranking atau di Academic Search Engine (ASE) seperti Google Scholar, BASE, dan lain-lain. ITS memiliki suatu sistem informasi bernama RESITS (Resource ITS). RESITS adalah sistem informasi yang secara khusus merekap hasil publikasi peneliti yang ada di ITS. RESITS yang dibuat pada tahun 2015 namun saat ini sudah tidak beroperasi lagi. Terdapat keterbatasan jumlah dan jenis visualisasi data pada RESITS. Oleh karena itu diputuskan untuk membangun sebuah sistem informasi baru berbasis website bernama RESITS 2.0. RESITS 2.0 akan secara khusus merekap data hasil publikasi peneliti ITS dan dilengkapi dengan visualisasi data yang lebih informatif daripada yang ada saat ini di RESITS. Algoritma untuk visualisasi data yang digunakan adalah T-SNE. T-SNE (T-Distributed Stochastic Neighbor Embedding) digunakan untuk memperkecil dimensi data publikasi agar hasil visualisasi data lebih teratur. Tahapan yang harus dilakukan untuk membangun RESITS 2.0 adalah menganalisis kebutuhan fungsional dan non-fungsional, merancang database baru, membuat website RESITS 2.0 menggunakan framework Laravel dengan arsitektur Model View Controller (MVC), mempersiapkan data publikasi peneliti ITS, implementasi algoritme T-SNE pada data publikasi peneliti, dan memvisualisasikan data hasil implementasi algoritme T-SNE menggunakan Highcharts. Hasil dari pembuatan RESITS 2.0 adalah suatu sistem informasi berbasis website yang berisi data peneliti dan data publikasi dari ITS. Data yang ditampilkan tidak hanya dalam bentuk daftar melainkan juga dalam bentuk grafik visualisasi. Pengguna dapat menggunakan fitur-fitur seperti fitur pencarian dan fitur perbandingan peneliti. Hasil dari implementasi algoritme T-SNE adalah grafik visualisasi publikasi data peneliti yang mana apabila pada grafik tersebut terdapat titik-titik yang berdekatan, maka titik-titik tersebut melambangkan peneliti yang memiliki beberapa kata kunci publikasi yang sama. Semakin banyak kesamaan kata kunci publikasi yang dimiliki 2 titik, maka semakin dekat jarak antara 2 titik tersebut.
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Every year, researchers (lecturers) at the Sepuluh Nopember Institute of Technology will publish their research. Publications can be in the form of conferences/seminars, journals, books, research results, or intellectual property rights. Information about the publications of these researchers can be searched and viewed in several information systems, such as SINTA (Science and Technology Index) and Scimago Journal Ranking or on Academic Search Engines (ASE) such as Google Scholar, BASE, and others. ITS has an information system called RESITS (ITS Resource). RESITS is an information system that specifically recapitulates the results of research publications at ITS. RESITS which was created in 2015 but now RESITS doesn’t operate anymore. However, there are limitations in the number and types of data visualizations in RESITS. Therefore it was decided to build a new website-based information system called RESITS 2.0. RESITS 2.0 will specifically recap data published by ITS researchers and be equipped with more informative data visualizations than currently available at RESITS. The algorithm for data visualization used is T-SNE. T-SNE (T-Distributed Stochastic Neighbor Embedding) is used to reduce the dimensions of publication data so that the results of data visualization are more organized. The steps that must be taken to build RESITS 2.0 are analyzing functional and non-functional requirements, designing a new database, creating a RESITS 2.0 website using the Laravel framework with Model View Controller (MVC) architecture, preparing ITS researcher publication data, implementing the T-SNE algorithm on the data. research publications, and visualizing data from the implementation of the T-SNE algorithm using Highcharts. The result of making RESITS 2.0 is a website-based information system that contains research data and publication data from ITS. The data displayed is not only in the form of a list but also in the form of a visualization graph. Users can use features such as the search feature and the researcher comparison feature. The result of the implementation of the T-SNE algorithm is a graph of visualization of research data publications in which if the graph contains adjacent points, then the dots represent researchers who have the same publication keywords. The more similarity of the publication keywords 2 points have, the closer the distance between those points.

Item Type:	Thesis (Other)
Additional Information:	RSIf 005.1 Yus p-1 2022
Uncontrolled Keywords:	Publikasi Peneliti, RESITS 2.0, Algoritme T-SNE, Visualisasi Data. Researcher’s Publication, RESITS 2.0, T-SNE Algorithm, Data Visualization.
Subjects:	Q Science > QA Mathematics > QA9.58 Algorithms
Divisions:	Faculty of Intelligent Electrical and Informatics Technology (ELECTICS) > Informatics Engineering > 55201-(S1) Undergraduate Thesis
Depositing User:	Mr. Marsudiyana -
Date Deposited:	26 May 2026 03:02
Last Modified:	26 May 2026 03:02
URI:	http://repository.its.ac.id/id/eprint/133425

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