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All Journal ComEngApp : Computer Engineering and Applications Journal JSI: Jurnal Sistem Informasi (E-Journal) Annual Research Seminar JITK (Jurnal Ilmu Pengetahuan dan Komputer) Jurnal Sisfokom (Sistem Informasi dan Komputer) JURTEKSI Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal Jurnal Pengabdian Masyarakat Bumi Raflesia Jurnal Generic Jurnal Altifani Penelitian dan Pengabdian kepada Masyarakat AKM: Aksi Kepada Masyarakat Indonesian Journal of Innovation Studies Jurnal Algoritma Jurnal Pengabdian Kolaborasi dan Inovasi IPTEKS Jurnal Pengabdian dan Pemberdayaan Masyarakat Indonesia The Indonesian Journal of Computer Science
Mira Afrina
Department Of Information Systems, Faculty Of Computer Science, Universitas Srwijaya, Indonesia
Religion Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Nursing Public Health Social Sciences Other

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Journal : ComEngApp : Computer Engineering and Applications Journal

 1 
Improving Data Integrity of Individual-based Bibliographic Repository Using Clustering Techniques Firdaus Firdaus; Oky Budiyarti; Muhammad Anshori; Mira Afrina; Siti Nurmaini
Computer Engineering and Applications Journal Vol 7 No 1 (2018)
Publisher : Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (376.066 KB) | DOI: 10.18495/comengapp.v7i1.223

Abstract

This paper presents a method to improve data integrity of individual-based bibliographic repository. Integrity improvement is done by comparing individual-based publication raw data with individual-based clustered publication data. Hierarchical Agglomerative Clustering is used to cluster the publication data with similar author names. Clustering is done by two steps of clustering. The first clustering is based on the co-author relationship and the second is by title similarity and year difference. The two-step hierarchical clustering technique for name disambiguation has been applied to Universitas Sriwijaya Publication Data Center with good accuracy.
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.
Identification of Indonesian Authors Using Deep Neural Networks Firdaus; Fahreza, Irvan; Nurmaini, Siti; Darmawahyuni, Annisa; Sapitri, Ade Iriani; Rachmatullah, Muhammad Naufal; Lestari, Suci Dwi; Fachrurrozi, Muhammad; Afrina, Mira; Putra, Bayu Wijaya
Computer Engineering and Applications Journal (ComEngApp) Vol. 11 No. 1 (2022)
Publisher : Universitas Sriwijaya

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

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.
Co-Authors Abdiansah, Abdiansah Ade Iriani Sapitri Ahmad Fali Oklilas Ahmad Fali Oklilas Ahmad Fali Oklilas Ahmad Fali Oklilas Ahmad Rifai Akbar Al Zaini Al Farissi Ali Ibrahim Ali Ibrahim Ali Ibrahim Annisa Darmawahyuni Apriansyah Putra - Ariani, Ardina Bayu Wijaya Putra Beriadi Agung Nur Rezqe Cendikiawan, Rizky Saputra Damayanti, Risma Darmawahyuni, Annisa Dedeng Zamawi Dicha Pratiwi Dinna Yunika Hardiyanti Dyah Paramita P Endang Lestari Ruskan Ermatita - Fahreza, Irvan Fathoni - Febriady, Mukhlis Firdaus Firdaus - Firdaus Firdaus Firdaus Firdaus Firmansyah, M. Daffa Gumay, Naretha Kawadha Pasemah Gustin Saputri Hadini Novianti Hafiiz Kresna Prasetya Hardini Novianti Hardini Novianti Hardini Novianti Hedi Yunus Iredho Fani Reza Irvan Fahreza Islamiansyah, Wira Ken Dihta Tania Ken Ditha Tania Kesuma, Lucky Indra Kodri, Lay Kurnia, Rizka Dhini  Lay Kodri Lay Kodri Leonardi, Veronica Hertensia M. Aris Garniardi Meitisari, Nia Muhammad Anshori Muhammad Fachrurrozi Muhammad Fachrurrozi Muhammad Farisan Zhafiri Muhammad Naufal Rachmatullah Nabila Hidayati Nurullah Marina Kelana Oky Budiyarti Opi Hernayanti Ovi Dyantina Pacu Putra Purwita Sari Putri Eka Sevtiyuni Rahmat Izwan Heroza Rezqe, Beriadi Agung Nur Risma Damayanti Rizka Dhini Rizka Dhini Kurnia Rizka Dhini Kurnia Rizka Dhini Kurnia Sahira, Mutia Sapitri, Ade Iriani Seprina, Iin Septiani Aulia Putri Sevtiyuni, Putri Eka Siti Nurmaini Sri Desy Siswanti Suci Dwi Lestari Suci Dwi Lestari Tasmi Tasmi Tasmi Tasmi Tumpol S Simarmata Welly Nailis Winda Kurnia Sari Wira Islamiansyah Wita Farla WK Wiwik Handayani Yadi Utama Yadi Utama Yadi Utama Yadi Utama Yadi Utama Yadi Utama Yadi Utama, Yudha Pratomo Yunus, Hedi Zaini, Akbar Al Zhafiri, Muhammad Farisan