CD Skripsi

Penentuan Lokasi Tempat Pembuangansementara (Tps) Di Kecamatantampan Menggunakan Metode K-Means Centroid

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The large number of population is directly proportional to the amount of waste in an area, so that a temporary disposal site (TPS) is needed that can accommodate daily waste but the problem that occurs when wanting to build a polling station is where the polling station will be built. To give a recommendation for the location of the TPS construction the data is processed using the Centroid K-Means method, there are several steps carried out such as preprocessing data, the clustering process using the K-Means method and clustering results using the Silhoutte Coefficient method to measure cluster quality. The results of the recommendations are obtained by processing TPS data and existing waste stacks. The results of this study found that the recommendation of TPS points with k = 4 (number of clusters) is a cluster with the best structure compared to other k values.

Keyword : Centroid, Clustering, Data Mining, K-Means, Python, Sampah, TPS

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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

03 05.119 (0041)

Penerbit

Pekanbaru : Universitas Riau - FMIPA - Sistem Informasi., 2019

Deskripsi Fisik

xii, 42 hlm.: ill.: 29 cm

Bahasa

Indonesia

ISBN/ISSN

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Klasifikasi

03 05.119 (0041)

Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

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Subjek

SISTEM INFORMASI

Info Detail Spesifik

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Pernyataan Tanggungjawab

ELFITRA

Versi lain/terkait

Lampiran Berkas

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