Klasifikasi Pesan Biasa, Operator, Spam, dan Debt Collector Menggunakan K-Nearest Neighbor.docx Indonesia

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Dian Christien Arisona
Gusti Ngurah Adhi Wibowo
Siswanto Siswanto
Gunawan Gunawan

Abstract

This research implements a K-Nearest Neighbor (KNN) classifier to predict messages that recognized as ordinary messages, operator messages, spam messages, and debt collector messages. KNN is one of the classification algorithms that can be used to do a text classification, the prediction is made with consideration of distances between the object of observations. The data is messages that have been collected from SMS, whatsapp, and email therefore preprocessing using casefolding, stemming, tokenizing, and stopwords is necessary to do a modelling using KNN methods. The results of this research showed that the accuracy achieved from the training set was 93% and if we just focus on the messages that clasify as messages from debt collector then recall score from the testing set was 83%.  This research is expected for further improvement and can be applied to recognizing messages from debt collector so that the victim can feel more comfortable.

Article Details

How to Cite
[1]
D. C. Arisona, G. N. Adhi Wibowo, S. Siswanto, and G. Gunawan, “Klasifikasi Pesan Biasa, Operator, Spam, dan Debt Collector Menggunakan K-Nearest Neighbor.docx: Indonesia”, INSYPRO, vol. 8, no. 2, Nov. 2023.
Section
Vol.8, No.2 (November 2023)
Author Biographies

Gusti Ngurah Adhi Wibowo, Program Studi Statistika, Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Halu Oleo

Program Studi Statistika, Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Halu Oleo

Siswanto Siswanto, Program Studi Statistika, Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Halu Oleo

Program Studi Statistika, Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Halu Oleo

Gunawan Gunawan, Program Studi Statistika, Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Halu Oleo

Program Studi Statistika, Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Halu Oleo

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