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All Journal Jurnal INSYPRO (Information System and Processing) Global Journal of Educational Technology (GJET)
Achmad, Andita Dani
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Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Medicine & Pharmacology Nursing Social Sciences

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Pembuatan Content Management System Website Pengajuan Kegiatan Organisasi Menggunakan Framework Express Js Dan React Js Renzha, Abraham; Marna Putra, Zagita; Achmad, Andita Dani
Jurnal INSYPRO (Information System and Processing) Vol 10 No 1 (2025)
Publisher : Prodi Sistem Informasi UIN Alauddin

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Abstract

Fajar University's (UNIFA) adoption of contemporary technology demonstrates the necessity of an improved digital information system for the administration of student activities. Workflows that are now done by hand are laborious and prone to errors. The purpose of this research, "Creating a Content Management System for a Website for Submitting Organizational Activities Using the Express.js and React.js Framework," is to improve student involvement, develop an effective content management system, and make material updating easier. Literature studies, observation, and interviews are examples of research methodologies. It has been demonstrated that utilizing Express.js and React.js in CMS development can improve activity management efficiency by facilitating online proposal submission and approval. System testing revealed strong functionality and encouraging user feedback. Based on testing with fourteen users, the system has a 93% success rate, expedites the approval process, and lowers errors. Additionally, system upkeep and staff training are done to guarantee efficacy and ongoing improvement.
Strategi Promosi Penerimaan Mahasiswa Baru menggunakan metode DBSCAN Arysespajayadi, Arysespajayadi; Suryana, M. Djazman Addin; Achmad, Andita Dani; Adlin, Adlin; Syam, Ferawaty
GJET : Global Journal of Educational Technology Vol. 1 No. 3 (2025): Agustus 2025
Publisher : Perhimpunan Ahli Teknologi Informasi dan Komunikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71234/gjet.v1i3.73

Abstract

Penelitian ini mengimplementasikan algoritma DBSCAN (Density-Based Spatial Clustering of Applications with Noise) untuk menganalisis pola sumber informasi yang memengaruhi keputusan calon mahasiswa di Politeknik Negeri Media Kreatif. Data survei periode 2022–2024, yang terdiri dari 13 variabel, diproses menggunakan normalisasi min-max. Parameter DBSCAN ditentukan dengan nilai Eps 0,4 dan MinPts 3. Hasil analisis menghasilkan tiga klaster, dengan Klaster 1 (media sosial, internet, dan rekomendasi teman/sahabat) memiliki rata-rata normalisasi tertinggi (0,87), menunjukkan pengaruh signifikan sebagai sumber informasi promosi. Validasi menggunakan Skor Silhouette (0,31) dan Indeks Davies-Bouldin (0,66) menunjukkan kualitas klasterisasi yang moderat. Hasil ini menunjukkan bahwa algoritma DBSCAN mampu menangani data heterogen dari variabel sumber informasi promosi dengan cukup efektif. Namun, optimalisasi lebih lanjut dapat dilakukan untuk meningkatkan kohesi intra-klaster dan pemisahan antar-klaster
Co-Authors ADLIN, ADLIN Arysespajayadi, Arysespajayadi Marna Putra, Zagita Renzha, Abraham Suryana, M. Djazman Addin Syam, Ferawaty