Algoritma Backpropagation Menggunakan PSO Prediksi Penerimaan Retribusi Peminjaman Rumah Adat Dulohupa

Authors

  • Sarlis Mooduto Universitas Ichsan Gorontalo
  • Abdul Yunus Labolo Universitas Ichsan Gorontalo
  • Andi Bode Universitas Ichsan Gorontalo
  • Ivo Colanus Rally Drajana Universitas Pohuwato

DOI:

https://doi.org/10.51158/tecnoscienza.v6i2.711

Keywords:

prediksi, retribusi, backpropagation, PSO

Abstract

Regional retribution as payment for services or granting certain permits specifically granted and/or issued by local governments for personal or business interests. Gorontalo City Government has several public facilities that are used as a source of regional income in the form of taxes or levies. The Dulohupa traditional house levy carried out by the Gorontalo City Youth and Sports Tourism Office often experiences ups and downs because it is caused by uncertainty about rentals or competition. The purpose of this research is to overcome the existing problems by predicting retribution receipts using the backpropagation method, the use of particle swarm optimization (PSO) to increase the accurate value in predicting. The data collected is daily quantitative univariate time series data. This type of data is the Dulohupa Traditional House Retribution Receipt Data. The dataset taken from the levy receipt variable has 211 records. The best model is generated on the backpropagation algorithm using the particle swarm optimization (PSO) selection feature, which can be seen from the smallest error rate of 0.122. Thus the addition of a selection feature can improve the performance of an algorithm. The results of the predictions for the next four months from January to April which have been denormalized with an average number of predictions of Rp. 1,806,789 with an error value of 0.112.

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Author Biographies

  • Sarlis Mooduto, Universitas Ichsan Gorontalo

    Teknik Informatika

  • Abdul Yunus Labolo, Universitas Ichsan Gorontalo

    Teknik Informatika

  • Andi Bode, Universitas Ichsan Gorontalo

    Teknik Informatika

  • Ivo Colanus Rally Drajana, Universitas Pohuwato

    Teknik Informatika

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Published

2022-04-05