CLUSTERING SMA NEGERI DI JAKARTA BARAT MENGGUNAKAN ALGORITMA K-MEANS SEBAGAI REKOMENDASI UNTUK SUKU DINAS PENDIDIKAN JAKARTA BARAT

Andreas Aji Raninda, . (2025) CLUSTERING SMA NEGERI DI JAKARTA BARAT MENGGUNAKAN ALGORITMA K-MEANS SEBAGAI REKOMENDASI UNTUK SUKU DINAS PENDIDIKAN JAKARTA BARAT. Skripsi thesis, Universitas Pembangunan Nasional Veteran Jakarta.

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Abstract

In today's world, where the need for high quality education is increasingly important, the equitable distribution of facilities, infrastructure, and supporting resources across all schools is a key priority. This condition is particularly true for public high schools (SMA Negeri), which serve as a gateway to public universities and can help improve the standard of living for communities. By categorizing the condition of facilities and resources in each school, it is hoped that the responsible authorities, namely the West Jakarta Education Office Districts I and II (Suku Dinas Pendidikan Wilayah I dan II Jakarta Barat), can make optimal decisions or policies based on the categorized data that has been collected. The issue is that there is currently no information system in these two offices that collects data on school conditions and their categorization. This data is currently scattered across the Dapodik website, which is a national data source containing information about national education. In this study, an information system will be developed that not only provides data on the condition of infrastructure and human resources at each school but also includes clustering results using the K-Means algorithm, which will assist in decision-making.

Item Type: Thesis (Skripsi)
Additional Information: [No.Panggil: 2110512045] [Pembimbing 1: Tjahjanto] [Pembimbing 2: Rudhy Ho Purabaya] [Penguji 1: Ika Nurlaili Isnainiyah] [Penguji 2: Rifka Dwi Amalia]
Uncontrolled Keywords: Clustering, Jakarta Barat, K-Means, Sistem Informasi, SMA Negeri
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QA Mathematics > QA76 Computer software
Divisions: Fakultas Ilmu Komputer > Program Studi Sistem Informasi (S1)
Depositing User: ANDREAS AJI RANINDA
Date Deposited: 26 Mar 2026 07:54
Last Modified: 26 Mar 2026 07:54
URI: http://repository.upnvj.ac.id/id/eprint/42624

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