Jurnal Teknoinfo
Vol 17, No 1 (2023): Vol 17, No 1 (2023): JANUARI

VISUALISASI REKOMENDASI PEMILIHAN JURNAL BIDANG INFORMATIKA DENGAN MENGGUNAKAN R DAN SHINY

Vega Purwayoga (Universitas Siliwangi)
Andi Nurkholis (Universitas Teknokrat Indonesia)



Article Info

Publish Date
01 Jan 2023

Abstract

Lecturers are required to carry out the Tri Dharma, one of which is research. In the research process a lecturer sometimes encounters several obstacles. Some of the factors that become obstacles include incentives related to publication costs and the unavailability of appropriate journal references. Several ways to overcome obstacles in the publication process have been carried out, but there are still problems with lecturers being confused about publishing their scientific work in a journal. This obstacle is due to the absence of a journal selection recommendation system. This study recommends journals based on the scope of the journal, the number of editions of the journal, and the cost of publication of the journal. The recommendation process is carried out using a skyline query algorithm, namely Block-nested loop (BNL). BNL works by comparing domination between objects on an attribute. The object, in this case the journal, is recommended if the journal dominates several attributes or at least one attribute. This study also developed a visualization of journal recommendations in the form of a web-based application. This visualization is expected to facilitate the journal recommendation process to users, so that it can help find journals that are in accordance with the papers to be published in a journal.

Copyrights © 2023






Journal Info

Abbrev

teknoinfo

Publisher

Subject

Computer Science & IT

Description

Jurnal Teknoinfo is a peer-reviewed scientific Open Access journal that published by Universitas Teknokrat Indonesia. This Journal is built with the aim to expand and create innovation concepts, theories, paradigms, perspectives and methodologies in the sciences of Informatics Engineering. The ...