Penerapan Algoritma C4.5 Dalam Memprediksi Asal Calon Mahasiswa Berbasis Website (Studi Kasus : Fakultas Hukum Universitas Mataram)

Rahman, Fauzi; Zahro, Hani Zulfia; Wibisono, FebyKesidHaryo

doi:10.36040/jati.v4i2.2654

Cited by 5 publications

(5 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The algorithms commonly used for data mining are ID3, C4.5, K-Means, Naive Bayes, Support Vector Machines, Apriori algorithms and other data mining algorithms [8]. Classification is the process of grouping a set of objects in the database into classes based on the similarity or classification specified [9]. The method used to perform the classification is the C4.5 Algorithm.…”

Section: Methodsmentioning

confidence: 99%

Classification of Early Childhood Reading with C4.5 Algorithm

et al. 2022

View full text Add to dashboard Cite

Childhood is a golden age for children, which is important phase for their growth and development. Children need to obtain get a good education according to their development phase to improve their abilities including language. Early reading skill is considered as one type of language skills which is essential at the childhood period. Referencing to teacher's information, one of the problems related to students' reading ability is the absence of determination of the classification of early childhood reading skills. Currently, teachers are challenged in providing the achievement of students' reading skills based on criteria of early reading ability. Consequently, they are not able to improve the learning quality to each student nor prepare material to discuss with students' parents. There is a suggestion given to achieve the goals and resolve it. It is the classification of early childhood reading skills that has been designed where the data processing is carried out using a computer. This study employs a decision tree and Algorithm C4.5 for the method. Algorithm C4.5 is included in the classification based on Decision Tree. Algorithm C4.5 is a method that can handle features with numeric types. The purpose of this study is to perform classification using Algorithm C4.5 as a method that can find out the level of reading skills in early childhood, based on the criteria, so that classification can be done easily and get the right improvement suggestion. The result in this study is that the Algorithm C4.5 method has a good result in solving and calculating for the classification so that the accuracy value of the Algorithm C4.5 calculation that has been carried out is 77,14%.

show abstract

Section: Methodsmentioning

confidence: 99%

Classification of Early Childhood Reading with C4.5 Algorithm

et al. 2022

View full text Add to dashboard Cite

show abstract

“…Apart from that, Rahmayani (Rahmayani, 2023). in his research discusses how to determine the completion of a student's studies by correlating the student's initial entry data with the academic achievement of Community Academy students using the C4.5 Algorithm based on Forward Selection and how to increase prediction accuracy using the C4.5 Algorithm based on Forward Selection.…”

Section: Literature Reviewmentioning

confidence: 99%

Comparison Of Naïve Bayes And Decision Trees In Determining The Best Manager Of Nurul Jadid Islamic Boarding School Based On Forward Selection

Dardiri

2024

SinkrOn

View full text Add to dashboard Cite

In an effort to find a solution for determining the best administrators, Islamic boarding school administrators try to determine the nominations for the best administrators using existing service data and knowledge. The process of determining nominations for the best administrators is less accurate, requiring computational methods to classify which administrators fall into the best category. In the context of data mining, classification is an important aspect. One of the classification models used is Naïve Bayes which focuses on class probability, and Decision Tree C4.5 which produces a decision tree to determine the priority of indicators that are most influential in predicting the best management. Both of these algorithms have their respective advantages. This research aims to analyze and compare the performance of the Naïve Bayes and Decision Tree classification algorithms. The comparative results of testing the Naïve Bayes and C4.5 algorithms in determining the nominations for the best administrators at the Nurul Jadid Paiton Probolinggo Islamic Boarding School on 455 administrator data tested in this study show that there is a fairly large comparison of accuracy. Naïve Bayes with Forward Selection has an accuracy rate of 91.21%, higher than Naïve Bayes itself whose accuracy results are only 87.64%. there is a difference of 3.57%. Likewise, the accuracy of C4.5 with Forward Selection has an accuracy rate of 90.99%, higher than C4.5 alone which has an accuracy rate of 90.11%. there is a difference of 0.88%. So in the comparison between 4 algorithm model trials, Naïve Bayes and Forward Selection had the most dominant accuracy with an accuracy result of 91.21%.

show abstract

“…Penelitian yang dilakukan oleh Sunanto dan Ghazi Falah (2022), membahas mengenai membuat model prediksi pasien yang mengidap penyakit diabetes dengan algoritma C.45, menghasilkan pohon keputusan dengan tingkat akurasi 95,51% [10]. Penelitian yang dilakukan oleh Fauzi Rahman, dkk (2020), membahas mengenai memprediksi asal calon mahasiswa berbasis website dengan algoritma C.45, menghasilkan nilai akurasi 99,48% [11]. Penelitian yang dilakukan oleh Sunarti (2021), membahas mengenai penentuan kelayakan pemberian pinjaman pada koperasi karyawan menggunakan algoritma C.45, menghasilkan pohon keputusan dengan tingkat akurasi 85,19% dengan nilai yang didapatkan 0,915 [12].…”

Section: Pendahuluanunclassified

Implementasi Algoritma C.45 Dalam Memprediksi Kualitas Aset Kendaraan Kantor

Salsabila,

Wijayanto

2023

josh

View full text Add to dashboard Cite

Badan Keuangan dan Aset Daerah (BKAD) of Banyumas Regency is an institution under a government position consisting of several sub-sectors, one of which is the Assets Sub-sector. The BKAD Regional Asset Sub-sector in Banyumas Regency has a type of Goods Inventory Card (KIB) that has not been managed properly, including KIB for office vehicles making it difficult to make a proposal for office vehicle maintenance. Maintenance of office vehicles is the initial stage of replacing vehicles according to employee needs so that employee performance can be maximized. Forecasts for office vehicle maintenance are presented to facilitate the implementation of duties in carrying out business trips. The methods used in data collection are survey methods, literature, and interviews. The data collection method used in this report uses a quantitative method with the C.45 algorithm. Predicting the quality of office vehicles can carry out several stages such as reviewing office vehicles, classifying the condition of office vehicles, after that a decision is made on which vehicles are suitable for use or not suitable for use. Analysis of predicting the quality of office vehicles using the C.45 algorithm with the rapidminer application can produce results in the form of a decision tree that is used by the asset sub-sector in order to make a decision. Based on the prediction results of office vehicle quality, it can be concluded that office vehicles will be suitable for use if the year of purchase or procurement is more than 2000 and office vehicles will not be suitable for use if the year of purchase or procurement is less than or equal to 2000. If you want to compare the results obtained it is advisable to use other tools or algorithms to make the next report.

show abstract

Penerapan Algoritma C4.5 Dalam Memprediksi Asal Calon Mahasiswa Berbasis Website (Studi Kasus : Fakultas Hukum Universitas Mataram)

Cited by 5 publications

References 0 publications

Classification of Early Childhood Reading with C4.5 Algorithm

Classification of Early Childhood Reading with C4.5 Algorithm

Comparison Of Naïve Bayes And Decision Trees In Determining The Best Manager Of Nurul Jadid Islamic Boarding School Based On Forward Selection

Implementasi Algoritma C.45 Dalam Memprediksi Kualitas Aset Kendaraan Kantor

Contact Info

Product

Resources

About