SIMULASI PENGKLASIFIKASIAN PESAN PENUMPANG PENERBANGAN MENGGUNAKAN METODE KNN (K-NEAREST NEIGHBOUR)

ANDARUWATI, RAGIL (2018) SIMULASI PENGKLASIFIKASIAN PESAN PENUMPANG PENERBANGAN MENGGUNAKAN METODE KNN (K-NEAREST NEIGHBOUR). Skripsi thesis, Institut Teknologi Dirgantara Adisutjipto.

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Abstract

Airline service as a provider of air transport is now beginning to attract many residents in Indonesia. Passengers as airline users often experience complaints. This complaint was sent in the form of a message to the airline. The messages sent by passengers are categorized as the safety or service of airlines. In determining the classification of messages using the KNN (K-Nearest Neighbour) method to find out a message included in the safety classification or service by comparing the value of the proximity of the new case to the old case or the sample. Based on the analysis of message classification system using KNN (K- Nearest Neighbour) method can help in determining the result of a message to safety classification or service classification. This message classification application gives a less accurate end result because of the limited attributes in the previous sample

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