Penerapan Algoritma C4.5 Untuk Penjurusan Siswa Sekolah Menengah Atas

Kurniasari, Rina; Fatmawati, Azizah

doi:10.34010/komputa.v8i1.3045

Cited by 5 publications

(6 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The next stage is the data splitting stage which is carried out by separating training data and testing data. Training data is used to create models that are applied to testing data [10] and testing data cannot be used for the training process, so that the model really learns from the new data [11]. The determination of training data and testing data is carried out randomly, so that the proportion between categories remains balanced [12].…”

Section: B Data Preprocessing 1) Data Splittingmentioning

confidence: 99%

Performance Comparison of the Kernels of Support Vector Machine Algorithm for Diabetes Mellitus Classification

Anggoro¹,

Permatasari²

2023

IJACSA

View full text Add to dashboard Cite

Diabetes Mellitus is a disease where the body cannot use insulin properly, so this disease is one of the health problems in various countries. Diabetes Mellitus can be fatal and can cause other diseases and even lead to death. Based on this, it is important to have prediction activities to find out a disease. The SVM algorithm is used in classifying Diabetes Mellitus diseases. The purpose of this study was to compare the accuracy, precision, recall, and F1-Score values of the SVM algorithm with various kernels and data preprocessing. The data preprocessing used included data splitting, data normalization, and data oversampling. This research has the benefit of solving health problems based on the percentage of Diabetes Mellitus and can be used as material for accurate information. The results of this study are that the highest accuracy was obtained by 80% obtained from the polynomial kernel, the highest precision was obtained by 65% which was also obtained from the polynomial kernel, and the highest recall was obtained by 79% obtained from the RBF kernel and the highest f1-score was obtained by 70% obtained from RBF kernel.

show abstract

Section: B Data Preprocessing 1) Data Splittingmentioning

confidence: 99%

Performance Comparison of the Kernels of Support Vector Machine Algorithm for Diabetes Mellitus Classification

Anggoro¹,

Permatasari²

2023

IJACSA

View full text Add to dashboard Cite

show abstract

“…Sekolah Menengah Atas adalah jenjang pendidikan menengah pada pendidikan formal di Indonesia [1]. Jurusan di Sekolah Menengah Atas (SMA) digunakan sebagai acuan untuk menyalurkan bakat dan kemampuan dari siswa [2]. Penjurusan pada siswa SMA dilakukan ketika siswa berada dikelas X [3].…”

Section: Pendahuluanunclassified

Perancangan Sistem Pendukung Keputusan Penentuan Jurusan Siswa Sma Negeri 2 Kutacane Berbasis Web Dengan Menggunakan Metode Analytical Hierarchy Process (AHP)

Susanti¹

2022

Jatilima

View full text Add to dashboard Cite

The world of education is currently also growing rapidly, with many schools that offer various majors, each of which has its advantages, so that people are also free to choose according to their interests. This makes schools must also have a good system to be able to direct the community to choices according to their abilities. A decision support system (Desicion Support System) can help provide various alternatives that can be taken in the decision-making process. There are many methods that can be used by decision makers to help find the optimal solution or alternative for a problem.The Decision Support System for Determining Majors serves to help schools make the right decisions using the Analytical Hierarchy Process method. The main function of this software is to process data on the selection of high school students majors. This software is implemented using the web, and for the database using Mysql.

show abstract

“…Data mining merupakan suatu proses penggalian sekumpulan data yang besar untuk mendapatkan sebuah informasi yang tidak diketahui sebelumnya. [11] Data mining menggunakan teknik statistik, matematika, kecerdasan buatan dan machine learning pada prosesnya dengan cara mengolah data tersebut untuk mendapatkan sebuah informasi yang lebih bermanfaat. [12] Nama lain data mining adalah Knowledge Discovery in Database (KDD).…”

Section: Implementasi Dan Pengujian Sistemunclassified

“…Adapun beberapa bagian atau teknik data mining menurut Herry Derajad Wijaya dan Saruni Dwiasnati [ Metode klasifikasi Naïve Bayes adalah metode klasik yang menggunakan konsep statistik probabilitas dalam melakukan klasifikasi data. [11] Naive Bayes merupakan metode yang cocok untuk klasifikasi biner dan multiclass.…”

Section: Implementasi Dan Pengujian Sistemunclassified

Implementation of Web-Based Naive Bayes Algorithm for Determining Departments at SMK 10 Muhammadiyah Kisaran

Sabila¹,

Saputra²,

Dewi³

2022

J. Tek. Inform. (JUTIF)

View full text Add to dashboard Cite

Determination of majors is very important for the convenience of prospective students in the process and continuation of education so that they do not experience difficulties in the teaching and learning process in the future. SMK 10 Muhammadiyah Kisaran is one of the private vocational schools in Asahan that provides 3 majors including Audio Video Engineering (TAV), Computer and Network Engineering (TKJ), and Motorcycle Engineering and Business (TBSM). SMK 10 Muhammadiyah Kisaran does not yet have a special system for selecting majors so that prospective students are welcome to choose majors according to their own wishes, not a few students find it difficult because the students themselves do not understand their abilities.so that it’s not uncommon for students to choose majors in a random way or follow their friends' choices. Therefore we need a system that can help prospective students in selecting majors that match their interests and talents and reduce mistakes in choosing majors. The technique used for the classification data mining model in this study is the Naïve Bayes Algorithm. The dataset that will be used as training data and test data is data for new students for the 2021/2022 school year, to be precise, for class X SMK 10 Muhammadiyah Kisaran obtained from the results of documentation and questionnaires. The criteria used were school origin, gender, interests, major, influence of friends, parental suggestions, math scores, English grades, and science grades. The results of the classification modeling with the Naïve Bayes Algorithm produce an accuracy value of 89%.

show abstract

Penerapan Algoritma C4.5 Untuk Penjurusan Siswa Sekolah Menengah Atas

Cited by 5 publications

References 3 publications

Performance Comparison of the Kernels of Support Vector Machine Algorithm for Diabetes Mellitus Classification

Performance Comparison of the Kernels of Support Vector Machine Algorithm for Diabetes Mellitus Classification

Perancangan Sistem Pendukung Keputusan Penentuan Jurusan Siswa Sma Negeri 2 Kutacane Berbasis Web Dengan Menggunakan Metode Analytical Hierarchy Process (AHP)

Implementation of Web-Based Naive Bayes Algorithm for Determining Departments at SMK 10 Muhammadiyah Kisaran

Contact Info

Product

Resources

About