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All Journal International Journal of Electrical and Computer Engineering Majalah Ilmiah Ekonomi Komputer TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Algoritma JURNAL ISTEK Al-Fikri: Jurnal Studi dan Penelitian Pendidikan Islam Jurnal Pendidikan UNIGA Jurnal Publik : Jurnal Ilmiah Bidang Ilmu Administrasi Negara Atthulab: Islamic Religion Teaching and Learning Journal JISKa (Jurnal Informatika Sunan Kalijaga) Indonesian Journal of Electrical Engineering and Computer Science JIIP (Jurnal Ilmiah Ilmu Pendidikan) Journal of Applied Data Sciences Edukasi: Journal of Educational Research Jurnal Algoritma Jurnal Lemhannas RI
Muhammad Ali Ramdhani
UIN Sunan Gunung Djati Bandung
Religion Arts Humanities Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Social Sciences Other

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Journal : International Journal of Electrical and Computer Engineering

 1 
Data science for digital culture improvement in higher education using K-means clustering and text analytics Dian Sa'adillah Maylawati; Tedi Priatna; Hamdan Sugilar; Muhammad Ali Ramdhani
International Journal of Electrical and Computer Engineering (IJECE) Vol 10, No 5: October 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1246.5 KB) | DOI: 10.11591/ijece.v10i5.pp4569-4580

Abstract

This study aims to investigate the meaningful pattern that can be used to improve digital culture in higher education based on parameters of the technology acceptance model (TAM). The methodology used is the data mining technique with K-means algorithm and text analytics. The experiment using questionnaire data with 2887 respondents in Universitas Islam Negeri (UIN) Sunan Gunung Djati Bandung. The data analysis and clustering result show that the perceived usefulness and behavioral intention to use information systems are above the normal value, while the perceived ease of use and actual system use is quite low. Strengthened with text analytics, this research found that the EDA and K-means result in harmony with the hope or desire of academic society the information system implementation. This research also found how important the socialization and guidance of information systems, especially the new one information system, in order to improve digital culture in higher education.
Deep sequential pattern mining for readability enhancement of Indonesian summarization Maylawati, Dian Sa'adillah; Kumar, Yogan Jaya; Kasmin, Fauziah; Ramdhani, Muhammad Ali
International Journal of Electrical and Computer Engineering (IJECE) Vol 14, No 1: February 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v14i1.pp782-795

Abstract

In text summarization research, readability is a great issue that must be addressed. Our hypothesis is readability can be accomplished by using text representations that keep the meaning of text documents intact. Therefore, this study aims to combine sequential pattern mining (SPM) in producing a sequence of a word as text representation with unsupervised deep learning to produce an Indonesian text summary called DeepSPM. This research uses PrefixSpan as an SPM algorithm and deep belief network (DBN) as an unsupervised deep learning method. This research uses 18,774 Indonesian news text from IndoSum. The readability aspect is evaluated by recall-oriented understudy for gisting evaluation (ROUGE) as a co-selection-based analysis; Dwiyanto Djoko Pranowo metrics, Gunning fog index (GFI), and Flesch-Kincaid grade level (FKGL) as content-based analysis; and human readability evaluation with two experts. The experiment result shows that DeepSPM yields better than DBN, with the F-measure value of ROUGE-1 enhanced to 0.462, ROUGE-2 is 0.37, and ROUGE-L is 0.41. The significance of ROUGE results also be tested using T-Test. The content-based analysis and human readability evaluation findings are conformable with the findings of co-selection-based analysis that generated summaries are only partially readable or have a medium level of readability aspect.
Co-Authors Abdullah Ramdhani Abdurahman, Ade Mohamad Abdusy Syakur Amin Adam Faroqi Adang Hambali, Adang Adi Putra Andriyandi Ahmad Fathonih, Ahmad Amrillah, Muhammad Fahmi Azwar Tsabit Barzan Faizin Bebeh Wahid Nuryadin Dian Sa'adillah Maylawati Dian Sa’adillah Maylawati Dian Sa’adillah Maylawati Diena Rauda Ramdania Dzulkifli, Muhamad Arham Enjang AS, Enjang Fauzi, Rai Ahmad Fitri, Susanti Ainul Hamdan Sugilar Hasan Basri Hilmi Aulawi Irfan Safrudin Kamil, Muhammad Ihsan Kasmin, Fauziah Kumar, Yogan Jaya lia kamelia Maman, Maman Maylawati, Dian Sa'adillah MUHAMMAD RIZAL Muharam, Aldi Fahluzi Nina Nurmila Nuraeni, Eneng Rahman, Titik Khawa Abdul Rakhman, Deny Fauzy Rinaldy Maulidiansyah Rinda Cahyana Rizqullah, Naufal Rochman, Chaerul Septya Egho Pratama Teddy Mantoro Tedi Priatna Teti Nurhalizah Wahyudin Darmalaksana Yana Aditia Gerhana, Yana Aditia Yosep Bustomi