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All Journal Data Sciences Indonesia (DSI)
Noviana Riza
Universitas Logistik dan Bisnis Internasional (ULBI)
Computer Science & IT Education Physics

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Implementasi Sistem Informasi Peringkat Akademik Mahasiswa Dengan Metode Ahp Berbasis Web Dengan Arsitektur Model View Controller Woro Isti Rahayu; Ahmad Afif Raihan; Fazli Ihsan Priyadi; Noviana Riza
Data Sciences Indonesia (DSI) Vol. 6 No. 1 (2026): Article Research Volume 6 Issue 1, Juni 2026
Publisher : Yayasan Cita Cendikiawan Al Kharizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/dsi.v6i1.7747

Abstract

Advances in information technology in the world of education have led to digital transformation, especially in the management of student academic data. This project focuses on developing a student academic ranking information system that use the Analytical Hierarchy Process (AHP) method as the basis for ranking structure to support system development so that the files created are more structured.Flask framework is utilized as the backend foundation using Python, integrated with MySQL for database management. The user interface is built with HTML and CSS to ensure a simple yet interactive design. The system allows users to input grades, automatically calculate GPA and semester performance, and determine academic rankings based on criteria weighted using the AHP method. This system is expected to help students monitor and evaluate their academic progress independently in an organized and efficient manner. In addition, this project serves as a learning platform for student developers to apply the knowledge they have gained in the fields of software engineering, data management, and programming logic.
Implementasi K-Means untuk Analisis Manajemen SDM dan Aset Non-Medis Berbasis Web di PT XYZ Aldi Daim Fauzan; Woro Isti Rahayu; Noviana Riza
Data Sciences Indonesia (DSI) Vol. 6 No. 1 (2026): Article Research Volume 6 Issue 1, Juni 2026
Publisher : Yayasan Cita Cendikiawan Al Kharizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/dsi.v6i1.8284

Abstract

Transformasi digital menuntut adanya sistem pengelolaan data yang efisien dan berbasis analitik, termasuk di sektor kesehatan. Penelitian ini mengimplementasikan sistem informasi berbasis web untuk analisis manajemen SDM dan aset non-medis melalui integrasi Laravel sebagai backend untuk operasi CRUD dan API, serta Streamlit sebagai dashboard analitik interaktif. Metode yang digunakan adalah algoritma K-Means Clustering untuk segmentasi data karyawan (gaji dan masa kerja) serta perangkat keras (umur dan harga). Hasil Elbow Method menunjukkan jumlah klaster optimal K=3, dengan Silhouette Score 0,639 yang menandakan segmentasi cukup baik. Sistem mampu menampilkan visualisasi berupa distribusi aset, status perangkat, dan profil karyawan, sekaligus memberi rekomendasi berbasis data untuk mendukung pengambilan keputusan manajerial. Integrasi Laravel dan Streamlit terbukti menghasilkan sistem analitik yang fleksibel, mudah diakses, dan potensial menjadi model awal solusi digital analitik non-medis berbasis teknologi.
Co-Authors Ahmad Afif Raihan Aldi Daim Fauzan Fazli Ihsan Priyadi Rahayu, Woro Isti