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All Journal JAM Pendidikan Matematika Melayu Arts and Performance Journal Gelora: Jurnal Pendidikan Olahraga dan Kesehatan IKIP Mataram Journal of Systems Engineering and Information Technology KOLONI Jurnal Inovasi Pengabdian dan Pemberdayaan Masyarakat Jurnal Inovasi Pendidikan dan Pembelajaran
Roni Putra
Jurusan Teknik Elektro, Fakultas Teknik, Universitas Andalas
Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Public Health Social Sciences Other

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Journal : Journal of Systems Engineering and Information Technology

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Web Mining for Enhanced Academic Visibility and Engagement Analysis Based on Visitor Data Yuhefizar, Yuhefizar; Putra, Roni
Journal of Systems Engineering and Information Technology (JOSEIT) Vol 3 No 1 (2024): March 2024
Publisher : Ikatan Ahli Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/joseit.v3i1.5713

Abstract

With online platforms that transform scholarly communication, academic journals must strategically amplify their digital footprint. This study demonstrates the value of using web analytics and time series modeling to uncover nuanced online readership trends and rhythms. Using the case of the Review of Rekayasa Sistem dan Teknologi Informasi/System Engineering and Information Technology (RESTI) Journal website's 2023 visitor data, we employ visual and ARIMA time series analysis to delineate engagement patterns aligned with academic cycles. The results reveal pronounced seasonal fluctuations, with the participation peaking in October and November, coinciding with increased research dissemination. Fitting an ARIMA model to daily new visitor data indicates positive autocorrelations, suggesting that the engagement effects persist on days. The model provides a predictive baseline for evaluating outreach initiatives. The study offers strategic information on aligning content planning with reading engagement rhythms. At the methodological level, the integration of data mining, predictive modeling, and information retrieval techniques establishes a versatile framework for investigating evolving scholarly communication dynamics in the digital age. The study also emphasizes meticulous data preparation and model diagnostics. The analytical approach presented provides actionable intelligence on trends in the use of academic portals online. This has far-reaching implications for journals seeking to strategically enhance their digital presence amidst increasing competition. With the proliferation of electronic resources, these techniques will only grow in importance for assessing and amplifying the impact of online scholarly platforms.
Co-Authors Ananto, Rangga Putra Armel Yentifa Diviana, Sukma Friadi, John Gusman, Taufik Harun, Afrizal Jori Lahinda M.Imamuddin, M.Imamuddin Meri Azmi Nurhatisyah Nurhatisyah Ronal Hadi Sefna Rismen Siswanto, Azi Sofia Edriati Subakti, Subakti Windayati, Diana Titik Wiwik Andriani Yuhefizar Yuhefizar Yulmaidar, Yulmaidar Yuni Saputri, Rima Zahara