Prediksi Tingkat Kepuasan Pelayanan Online Menggunakan Metode Algoritma C.45

Abstract

Online service is a service that uses the help of the internet. This service can solve various types of business without having to meet directly with employees. This can be done quickly and on time. Especially when we are currently experiencing the Covid-19 pandemic, all existing services are carried out online and this is increasingly being done by many parties, because they can maximize in helping people's affairs online. This service makes it easier for the public to register which will be done online during this pandemic. The data that will be processed in this online service from 2019 to 2020 is about data about people who do not understand online services, negative community responses, positive community expectations. The method used in this study is the method with the C4.5 algorithm where this is one of the algorithms that will be used to determine a classification or group of data and will be predictive. The advantage of this algorithm is that it can produce a decision tree which will make it easier to implement and will have an acceptable level of accuracy. The results of this study are able to predict a value or determine the level of community satisfaction in 2021 appropriately. Therefore, this study can be used as a reference to determine the level of satisfaction at the Padang City Population and Civil Registration Office. The method used in this study is the prediction method using the C4.5 algorithm by using as many as 14 attributes. The data used in this study is sourced from data from online questionnaires and stored in the Disdukcapil database which has as many as 50 community data which have been presented in a CSV file. The analysis in this study uses the help of tools in the form of rapid miner software version 5.3,000. The results of this study are that there are 3 rules from the data processing process using the C4.5 algorithm where the rule is the final result of the decision tree form.

Implementasi Algoritma C.45 Dalam Memprediksi Kualitas Aset Kendaraan Kantor

“…Penelitian yang dilakukan oleh Yulia Purnama Sari Hutagaol, dkk (2021), membahas mengenai menentukan kualitas telur ayam Australia terbaik menggunakan algoritma C.45, menghasilkan pohon keputusan dengan tingkat akurasi 90% dengan menggunakan 90 sampel data [15]. Penelitian yang dilakukan oleh Yuni Indah Lestari (2021), membahas mengenai prediksi tingkat kepuasan pelanggan online menggunakan algoritma C.45, menghasilkan tingkat akurasi 84,66% recall 0,828, precision mendapatkan 0,828, dan ROC mendapatkan 0,825 [16]. Penelitian yang dilakukan oleh Nurdiana Handayani, dkk (2021), membahas mengenai prediksi tingkat risiko kredit dengan data mining menggunakan algoritma C.45, menghasilkan pohon keputusan dengan nilai akurasi 79% [17].…”

Clustering and Modeling of E-Government Architecture Using the Algorithm C4.5

“…merupakan cara mendapatkan pengetahuan (Knowledge Discovery) yang digali dari himpunan data dengan volume sangat besar, dan dapat mendukung dalam mengambil keputusan [3]. Data mining adalah sebuah algoritma untuk menggali informasi yang berharga pada database sehingga akan ditemukan suatu pola yang menarik dimana sebelumnya pola tersebut tidak diketahui [4]. Algoritma C4.5 merupakan kelompok algoritma decision tree.…”

Applying Data Mining to Classify Customer Satisfaction using C4.5 Algorithm Decision Tree

“…The C4.5 algorithm has been used to predict online customer satisfaction [7] using fourteen attributes. The data obtained in this study originated from online questionnaire responses stored in the Population and Civil Registration Office database, consisting of fifty public data presented in CSV format [8].…”