Bit (Fakultas Teknologi Informasi Universitas Budi Luhur)
Vol 20, No 2 (2023): SEPTEMBER 2023

Classification Of the Effectiveness of Sukabumi Relocation Food Center Policy Using the Naïve Bayes Classifier Algorithm

M. Elki Ismuhamdan (Universitas Muhammadiyah Sukabumi)
Prajoko Prajoko (Universitas Muhammadiyah Sukabumi)
Winda Apriandari (Universitas Muhammadiyah Sukabumi)



Article Info

Publish Date
30 Sep 2023

Abstract

The program that is being discussed in Sukabumi City is the construction and arrangement of Jalan Ir. H. Juanda or “Dago” as a hawker center for the City of Sukabumi accompanied by a policy of relocating street vendors to Jalan Dewi Sartika. The effectiveness of this policy is still questionable because it has an unfavorable impact and creates polemics for various parties and there is no research that measures the efficiency and effectiveness of implementing the street vendor relocation policy. This research was conducted to classify and measure the effectiveness of the relocation policy for hawker centers in Sukabumi City based on the classification of the opinions of the people of Sukabumi City and traders in the relocation area by creating a system that can measure the effectiveness of the policy using the Naïve Bayes Classifier algorithm with the Knowledge Discovery in Database research method. The Naïve Bayes Classifier algorithm is a data mining algorithm that applies Bayes's Theorem [1]. The final result of this research is that from 368 opinion data, 52.45% or 193 opinions are classified as "Effective" and 47.55% or 175 opinions are classified as "Ineffective" with an accuracy value of 97.02%. The policy of relocating hawker centers in Sukabumi City can be concluded as Effective, because the Effective value is greater than the Ineffective value even though it has a very thin difference in value with a very high accuracy value

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Journal Info

Abbrev

bit

Publisher

Subject

Computer Science & IT Electrical & Electronics Engineering

Description

JURNAL BIT (Budi Luhur Information Technology) merupakan Jurnal yang diterbitkan oleh Fakultas Teknologi Informasi, Universitas Budi Luhur dengan jadwal publikasi dua kali dalam satu tahun (April dan September). Jurnal BIT bertujuan sebagai media pertukaran informasi, pengetahuan mengenai ...