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Journal : TIN: TERAPAN INFORMATIKA NUSANTARA

Penerapan Algoritma Text Mining Dan TF-IDF Untuk Pengelompokan Topik Skripsi Pada Aplikasi Repository STMIK Budi Darma Sari, Herlina; Ginting, Guidio Leonarde; Zebua, Taronisokhi; Mesran, Mesran
TIN: Terapan Informatika Nusantara Vol 2 No 7 (2021): Desember 2021
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

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Abstract

Thesis is a scientific work that must be written by students as a requirement for the final project of education. For students who want to write a thesis, for example, students on the STMIK Budi Darma campus are required to first find a topic for the title to be submitted. The way to find thesis topic references can be done by accessing the repository application. The title of the thesis has different topics, so it takes a grouping of thesis topics. Classification or grouping of thesis titles in the repository application is very important, because with the grouping of thesis titles it will make it easier to find thesis topic information that can be used as a reference in further research. Therefore, this study aims to create a repository application that is able to group theses. This research uses three methods, namely Text Mining, TF-IDF, and cosine similarity. The thesis abstract data will be processed by Text Mining to produce sentences that represent the thesis, then weighted using TF-IDF and find the level of similarity using cosine similarity. processed. So if the percentage is only 73%.
Penerapan Algoritma Arithmetic Coding Untuk Mengkompresi Record Database Pada Aplikasi Ensiklopedia Flora Berbasis Android Tari, Ratiya; Nasution, Surya Darma; Zebua, Taronisokhi
TIN: Terapan Informatika Nusantara Vol 2 No 7 (2021): Desember 2021
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The use of a database in an application can affect the size of the application itself. The size of the database is influenced by the number of database records, so it requires a compression technique to compress database records in the flora encyclopedia application. Completion is done to reduce or reduce the size of a data so that the data size becomes smaller and with compression makes it easier to transmit. Many algorithms are developed in the compression process, one of which is the arithmetic coding algorithm. Performance measurement of compression results by applying the arithmetic coding algorithm in compressing the flora encyclopedia application database records, namely producing Ratio of compression (2.2), Compression Ratio (45%), and Redundancy (55%).