STATISTIKA
Vol. 22 No. 1 (2022): Statistika

Penggerombolan Desa di Kabupaten Poso Berdasarkan Sarana Prasarana dan Tenaga Kesehatan Menggunakan Metode K-Prototype dengan Algoritma Genetika

Septyani Kawuwung (septyanikawuwung)
Nur'eni (Universitas Tadulako)
Lilies Handayani (Universitas Tadulako)



Article Info

Publish Date
18 Nov 2022

Abstract

ABSTRAK Analisis gerombol merupakan salah satu teknik untuk mengelompokkan sekumpulan objek yang mirip dengan properti yang sama menjadi satu kelompok sehingga tidak mirip dengan objek di kelompok lainnya. Analisis gerombol umumnya diterapkan pada objek dengan tipe data numerik. Namun pada kenyataannya clustering juga menggunakan tipe data kategorikal. Penanganan clustering dengan data tipe campuran dapat dilakukan dengan menerapkan algoritma k-prototype, namun penentuan inisialisasi pusat cluster cenderung sensitif. Untuk menangani penentuan inisialisasi pusat cluster, dapat diterapkan suatu algoritma yaitu algoritma genetika. Penelitian ini membahas tentang sarana dan prasarana serta tenaga kesehatan di Kabupaten Poso dimana sarana prasarana dan tenaga hukum di kabupaten tersebut sudah memadai namun distribusinya tidak merata di beberapa daerah. Hasil penelitian ini menunjukkan bahwa pada algoritma k-prototype terdapat 8 cluster dengan pusat cluster yang dioptimasi menggunakan algoritma genetika yaitu 36, 7, 99, 49, 69, 104, 105, 110. ABSTRACT Cluster analysis is a technique for grouping a set of similar objects into one group so that they are not similar to objects in other groups. Cluster analysis is generally applied to objects with numeric data type. But in reality clustering also uses categorical data types. Clustering handling with mixed-type data can be done by applying the k-prototype algorithm, but the determination of cluster center initialization tends to be sensitive. To handle the determination of the initialization of the cluster center, can be applied an algorithm that is genetic algorithm. This study discusses the facilities and infrastructure and health workers in Poso Regency where the infrastructure and legal personnel in the district are adequate but the distribution is not evenly distributed in several areas. The results of this study indicate that in the k-prototype algorithm there are 8 clusters with cluster centers optimized using the genetic algorithm, namely 36, 7, 99, 49, 69, 104, 105, 110.

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Journal Info

Abbrev

statistika

Publisher

Subject

Decision Sciences, Operations Research & Management Mathematics

Description

STATISTIKA published by Department of Statistics, Faculty of Mathematics and Natural Sciences, Bandung Islamic University as pouring media and discussion of scientific papers in the field of statistical science and its applications, both in the form of research results, discussion of theory, ...