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All Journal ComEngApp : Computer Engineering and Applications Journal Annual Research Seminar
Suci Dwi Lestari
Universitas Sriwijaya
Computer Science & IT Engineering

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Identification of Indonesian Authors Using Deep Neural Networks Firdaus Firdaus; Irvan Fahreza; Siti Nurmaini; Annisa Darmawahyuni; Ade Iriani Sapitri; Muhammad Naufal Rachmatullah; Suci Dwi Lestari; Muhammad Fachrurrozi; Mira Afrina; Bayu Wijaya Putra
Computer Engineering and Applications Journal Vol 11 No 1 (2022)
Publisher : Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (402.465 KB) | DOI: 10.18495/comengapp.v11i1.398

Abstract

Author Name Disambiguation (AND) is a problem that occurs when a set of publications contains ambiguous names of authors, i.e. the same author may appear with different names (synonyms) in other published papers, or author (authors) who may be different who may have the same name (homonym). In this final project, we will design a model with a Deep Neural Network (DNN) classifier. The dataset used in this final project uses primary data sourced from the Scopus website. This research focuses on integrating data from Indonesian authors. Parameters accuracy, sensitivity and precision are standard benchmarks to determine the performance of the method used to solve AND problems. The best DNN classification model achieves 99.9936% Accuracy, 93.1433% Sensitivity, 94.3733% Precision. Then for the highest performance measurement, the case of Non Synonym-Homonym (SH) has 99.9967% Accuracy, 96.7388% Sensitivity, and 97.5102% Precision.
Analisis Cluster Perolehan Medali pada Asian Games 2018 Menggunakan Metode K-Means Suci Dwi Lestari; Putri Wulandari
Annual Research Seminar (ARS) Vol 4, No 1 (2018): ARS 2018
Publisher : Annual Research Seminar (ARS)

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Abstract

Abstrak—Asian Games adalah ajang terbaik untuk membuktikan keunggulan dari masing-masing negara yang diukur dari jumlah medali yang diperoleh. Mayoritas peraih medali tertinggi di ajang Asian Games adalah negara yang tingkat perekonomian dan populasinya tinggi. Pada paper ini, kami akan membuktikan apakah ada hubungan antara jumlah medali yang didapat terhadap GDP growth dan populasi pada kontingen negara-negara peserta Asian Games 2018. Metode yang digunakan adalah K-Means Clustering. Hasil dari penelitian ini adalah pembuktian apakah terdapat hubungan antara jumlah medali yang didapat dengan GDP growth dan populasi kontingen negara-negara peserta Asian Games 2018.Kata Kunci—Asian Games, GDP growth, populasi, clustering, K-Means
Co-Authors Ade Iriani Sapitri Annisa Darmawahyuni Bayu Wijaya Putra Firdaus Firdaus Irvan Fahreza Mira Afrina Muhammad Fachrurrozi Muhammad Naufal Rachmatullah Putri Wulandari Siti Nurmaini