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All Journal KOMPUTIKA - Jurnal Sistem Komputer J-SIGN (Journal Of Informatics, Information System, And Artificial Intelligence)
Abbas, Muhammad Akram
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering

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Rekomendasi Pemilihan Bahan Bacaan Pengunjung Perpustakaan Menggunakan Metode K-Means Clustering harnelia, harnelia; Panaungi, Fajar; Abbas, Muhammad Akram; Saputra, Rizal Adi
Komputika : Jurnal Sistem Komputer Vol. 14 No. 1 (2025): Komputika: Jurnal Sistem Komputer
Publisher : Computer Engineering Departement, Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/komputika.v14i1.13298

Abstract

This research was conducted at the Modern Library of Kendari City to classify visitors' reading interests using the k-means clustering method. The classification aims to provide reading recommendations that match each visitor group's interests. The study uses book lending data collected from library visitors over the past four years. The clustering process implements the k-means algorithm, grouping data based on the nearest distance to cluster centers. This method resulted in three main clusters: cluster 0 with low reading interest, cluster 1 with moderate reading interest, and cluster 2 with high reading interest. This study contributes by developing a new approach for the Modern Library of Kendari City in managing book collections and recommending readings based on visitor interest groups. The clustering visualization provides insights into reading interest distribution, which helps the library make decisions about reading material provision. The cluster analysis shows different borrowing patterns and book preferences. This research is expected to help the library improve its services and visitor satisfaction through providing book collections that match each group's reading interests. Keywords – Book Recommendations; Clustering; Library; Machine Learning; Reading Interest
Perancangan Website Sistem Informasi Sekolah Berbasis Laravel (Studi Kasus : Alhazen School Kendari) Muntarti, Yun; NurAfiah, Siti; Abbas, Muhammad Akram; Statiswaty, Statiswaty; Isnawaty, Isnawaty
J-SIGN (Journal of Informatics, Information System, and Artificial Intelligence) Vol 3, No 2 (2025): November
Publisher : Department of Informatics, Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/j-sign.v3i2.49676

Abstract

Kemajuan pesat teknologi informasi telah mendorong lembaga pendidikan untuk mengadopsi layanan berbasis digital. Alhazen School Kendari, di bawah naungan Alhazen Academy, merupakan lembaga pendidikan Islam modern yang mengintegrasikan pembelajaran agama dengan teknologi. Namun, sekolah ini masih menghadapi ketidakefisienan dalam sistem konvensional, terutama dalam penyebaran informasi, dokumentasi kegiatan, dan penerimaan peserta didik baru (PPDB). Penelitian ini bertujuan untuk mengembangkan sistem informasi sekolah berbasis web guna mendukung pengelolaan data yang terstruktur, efisien, dan profesional. Proses pengembangan mengikuti model Waterfall, yang mencakup analisis kebutuhan, perancangan sistem, implementasi, pengujian, dan pemeliharaan. Laravel digunakan sebagai kerangka kerja backend, Tailwind CSS untuk antarmuka yang modern dan responsif, serta MySQL sebagai basis data. Sistem yang dihasilkan bersifat fungsional, informatif, dan mudah diakses, meningkatkan efisiensi staf, memperluas penyebaran informasi, serta memperkuat identitas teknologi dan nilai-nilai Islam Alhazen School Kendari. Selain itu, sistem ini juga berfungsi sebagai media dakwah digital dan sarana pendidikan Al-Quran berbasis teknologi, sejalan dengan visi dan misi Alhazen Academy dalam mendukung transformasi digital pendidikan Islam modern
Co-Authors harnelia, harnelia Isnawaty Isnawaty, Isnawaty Muntarti, Yun Nurafiah, Siti Panaungi, Fajar Rizal Adi Saputra Statiswaty