Edu Komputika Journal
Vol 4 No 1 (2017): Edu Komputika Journal

Pembuatan Aplikasi Klasifikasi Otomatis Laporan Keluhan Warga di Polrestabes Semarang

Akbar, Dawam Muhammad (Unknown)
Pribadi, Feddy Setio (Unknown)

Article Info

Publish Date
12 Jan 2018

Abstract

This research aims to simplify the classification document of report complaints in Polrestabes Semarang. This research used cosine similarity algorithm and nearest neighbor algorithm on classification process. Cosine similarity measure between two vector of an inner product space. Nearest neighbor calculate vector distance of the document to another. The result show that the accuracy of cosine similarity algorithm is better than nearest neighbor algorithm. It has the value 93,334% for cosine similarity algorithm and 80% for nearest neighbor algorithm.

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Journal Info
Edu Komputika Journal
Website

Abbrev

edukom

Publisher

Universitas Negeri Semarang

Subject

Computer Science & IT Education Engineering

Description

Edu Komputika Journal menerbitkan artikel-artikel hasil penelitian dan kajian konseptual di bidang pendidikan TIK, komputer, teknologi informasi, multimedia, rekayasa software dan aplikasinya dalam bidang ...