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All Journal International Conference on Engineering and Technology Development (ICETD) Explore: Jurnal Sistem Informasi dan Telematika (Telekomunikasi, Multimedia dan Informatika) Jurnal Ilmiah Matrik Prosiding Semhavok Journal of Information Systems and Informatics Journal of Computer Networks, Architecture and High Performance Computing Jurnal Nasional Ilmu Komputer Jurnal Pengabdian kepada Masyarakat Bina Darma
Qoriani Widayati
Universitas Bina Darma
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Engineering Languange, Linguistic, Communication & Media Other

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“My Nihon” Multimedia Interaktif Pengenalan budaya Jepang Qoriani Widayati; Agin padllyanto
Jurnal Ilmiah Matrik Vol 24 No 1 (2022): Jurnal Ilmiah Matrik
Publisher : Direktorat Riset dan Pengabdian Pada Masyarakat (DRPM) Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33557/jurnalmatrik.v24i1.1687

Abstract

Budaya Jepang adalah salah satu budaya asing yang sangat disukai masyarakat indonesia saat ini. salah satu media pembelajaran yang banyak dipilih oleh masyarakat indonesia adalah melaui hobi seperti menonton film dan bermain game jepang, hal ini dipilih karena media pembelajaran tersebut lebih interaktif jika dibandingkan belajar melalui artikel di internet dan buku. Permasalahan tersebut dapat diatasi dengan dibuatnya aplikasi pengenalan budaya jepang berbasis multimedia interaktif menggunakan Adobe Flash CS6. Metode yang digunakan untuk merancang aplikasi pengenalan budaya jepang ini yaitu menggunakan MDLC (Multimedia Development Life Cycle). Hasil dari penelitian ini adalah sebuah aplikasi multimedia interaktif yang berupa animasi motion graphic yang dapat mempermudah dalam proses belajar, dimana pengguna bisa berinteraksi dengan fitur pembelajaran dan tidak hanya mendapatkan materi saja.
Predicting Student Loyalty in Higher Education Using Machine Learning: A Random Forest Approach Widayati, Qoriani; Adi, Kusworo; Isnanto, R Rizal; Agustini, Eka Puji; Julianto, Dewa Rizki Rahmat; Prakasa, Fawwaz Bimo
Journal of Information System and Informatics Vol 7 No 1 (2025): March
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v7i1.977

Abstract

Student loyalty is a crucial factor supporting the sustainability of higher education institutions. The aim of this study is to predict student loyalty using a machine learning approach, specifically the random forest algorithm. The data for this research were collected through a questionnaire that included variables such as service quality, emotional attachment, brand satisfaction, brand trust, and socio-economic conditions, distributed to 107 students in Palembang. The resulting dataset was processed through preprocessing, model training, and performance evaluation, employing metrics such as accuracy, precision, recall, and F1-score. The analysis using the random forest algorithm achieved an accuracy of 90.9%. These findings are expected to provide valuable insights for higher education institutions in developing more effective strategies to enhance student loyalty.
Co-Authors ABE, Bagus Arianto Agin padllyanto Agustini, Eka Puji Edi Supratman Febriyanti Panjaitan Irman Effendi Irman Effendy Julianto, Dewa Rizki Rahmat Kusworo Adi Merry Agustina Msy. Mawaddah Utama Putri Muhammad Fauzan Prasetyo Muhammad Nasir Murtika, Murtika Natasya, Aisha Nurhadi Nurhadi Nyimas Sopiah Prakasa, Fawwaz Bimo Prasetyo, Muhammad Fauzan R Rizal Isnanto Salamah, Nurlis Siti Nurhayati Syahril Rizal Usman Ependi Wisudawati, Rani