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All Journal Gudang Jurnal Multidisiplin Ilmu Jurnal Riset Sistem Informasi
Mochammad Syukron Ramadani
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Religion Aerospace Engineering Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Public Health Social Sciences Other

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ANALISIS PENGELOMPOKAN DATA NILAI SISWA UNTUKMENENTUKAN SISWA BERPRESTASI MENGGUNAKAN METODE CLUSTERING K- MEANS Mochammad Syukron Ramadani; Zaehol Fatah
Jurnal Riset Sistem Informasi Vol. 1 No. 4 (2024): Oktober : Jurnal Riset Sistem Informasi
Publisher : CV. Denasya Smart Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69714/hq2bsy84

Abstract

Identifying high-achieving students is a critical step in evaluating learning outcomes to enhance the quality of education. This study aims to analyze the clustering of student grade data using the K-Means Clustering method to identify groups of high-achieving students. The K-Means method is utilized due to its effectiveness in grouping data based on value similarity. The data used in this study consist of students' academic scores across various subjects. The research stages include data collection, preprocessing, applying the K-Means algorithm, and validating the clustering results. The results show that the K-Means method successfully grouped students into several categories, such as high-achieving, moderate-achieving, and low-achieving students. The clustering analysis indicates that high-achieving students exhibit consistent performance across all subjects, whereas low-achieving students tend to show significant variations in their scores. This method also provides data visualization that helps schools make informed decisions to improve student performance. Thus, the implementation of the K-Means method in clustering student grade data can serve as an effective and efficient approach to support evaluation processes and data-driven decision-making.
Sistem Informasi Arsip Surat Berbasis Web Pada Dinas Perikanan Kabupaten Banyuwangi Mochammad syukron Ramadani; Akhlis Munazilin
Gudang Jurnal Multidisiplin Ilmu Vol. 2 No. 10 (2024): GJMI - OKTOBER
Publisher : PT. Gudang Pustaka Cendekia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59435/gjmi.v2i10.1008

Abstract

Penelitian ini bertujuan untuk mengembangkan sistem informasi arsip surat berbasis web pada Dinas Perikanan Kabupaten Banyuwangi menggunakan metode Waterfall. Metode Waterfall dipilih karena pendekatannya yang sistematis dan berurutan, yang mencakup tahap-tahap analisis, desain, implementasi, pengujian, dan pemeliharaan. Sistem ini dirancang dengan menggunakan teknologi web modern yang memungkinkan aksesibilitas dan pengelolaan arsip surat secara online. Hasil penelitian menunjukkan bahwa sistem informasi arsip surat berbasis web ini dapat meningkatkan efisiensi dan efektivitas pengelolaan arsip surat menyurat. Dengan penerapan metode Waterfall, setiap tahap pengembangan dapat dilaksanakan secara terstruktur dan terukur, sehingga menghasilkan sistem yang sesuai dengan kebutuhan pengguna. Sistem ini juga mampu mengurangi waktu yang diperlukan untuk pencarian dan pengarsipan surat, serta meningkatkan akurasi dan keamanan data arsip. Dengan demikian, diharapkan sistem informasi ini dapat mendukung tugas-tugas administratif di Dinas Perikanan Kabupaten Banyuwangi dengan lebih baik dan lebih efisien.
Co-Authors Akhlis Munazilin Zaehol Fatah