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All Journal TEKNIK INFORMATIKA Sainteks JUITA : Jurnal Informatika PengabdianMu: Jurnal Ilmiah Pengabdian kepada Masyarakat Infotekmesin JPM: JURNAL PENGABDIAN MASYARAKAT Journal of Dinda : Data Science, Information Technology, and Data Analytics Melek IT: Information Technology Journal IJCOSIN : Indonesian Journal of Community Service and Innovation Jurnal Pengabdian Teknik dan Sains (JPTS) Edu Komputika Journal Prosiding Seminar Nasional CORISINDO
Dany Candra Febrianto
Telkom University
Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Astronomy Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mechanical Engineering Medicine & Pharmacology Public Health Social Sciences Transportation Other

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Journal : JUITA : Jurnal Informatika

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Data Mining for Potential Customer Segmentation in the Marketing Bank Dataset Maulida Ayu Fitriani; Dany Candra Febrianto
JUITA : Jurnal Informatika JUITA Vol. 9 No. 1, May 2021
Publisher : Department of Informatics Engineering, Universitas Muhammadiyah Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (845.282 KB) | DOI: 10.30595/juita.v9i1.7983

Abstract

Direct marketing is an effort made by the Bank to increase sales of its products and services, but the Bank sometimes has to contact a customer or prospective customer more than once to ascertain whether the customer or prospective customer is willing to subscribe to a product or service. To overcome this ineffective process several data mining methods are proposed. This study compares several data mining methods such as Naïve Bayes, K-NN, Random Forest, SVM, J48, AdaBoost J48 which prior to classification the SMOTE pre-processing technique was done in order to eliminate the class imbalance problem in the Bank Marketing dataset instance. The SMOTE + Random Forest method in this study produced the highest accuracy value of 92.61%.
Penerapan Jaringan Saraf Tiruan dengan Metode Pembelajaran Backpropagation untuk Mengetahui Tingkat Kualifikasi Calon Siswa pada Sistem Informasi Penerimaan Siswa Baru di MAN 2 Banjarnegara Dany Candra Febrianto; Hindayati Mustafidah
JUITA : Jurnal Informatika JUITA Vol. 2 Nomor 3, Mei 2013
Publisher : Department of Informatics Engineering, Universitas Muhammadiyah Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1140.114 KB) | DOI: 10.30595/juita.v2i3.724

Abstract

The selection process of the new students at Madrasah Aliyah Negeri 2 Banjarnegara aims to get the best prospective students to improve the quality and quantity of the achievement of Madrasah Aliyah Negeri 2 Banjarnegara they needs to know the qualifications of the applicant. To help the school to know the qualifications of prospective students required an application that is able to analyze the ability of prospective students, that will assist the school in predicting the qualifications of prospective students. The application is designed using artificial neural network processing with backpropagation learning algorithm. From the experiments performed 6 times used parameter : target error 0,001, the maximum epoch 10000 and learning rate from 0,3 to 0,8 obtained satisfactory results with 64 kinds of patterns tested system can recognize 100% patterns with MSE smaller than 0,001 and when they tested with 100 students sample data that they got from the documents the school system can recognize 100% of the data. Based on the experimental magnitude of learning rate affects the number of iterations to get the MSE, the greater the learning rate value the smaller value of iterations required to obtain a smaller MSE than the target error
Co-Authors Agung Purwo Wicaksono Andi Prademon Yunus Aulia Desy Nur Utomo Bradika Almandin Wisesa Choo, Yit Hong Fitriani, Maulida Ayu Ghifari, Abu Dzar Al Gustalika, Muhammad Azrino Hindayati Mustafidah Khadija, Mutiara Auliya Kusumastuti, Rajnaparamitha Laily Nurlina Lisda Lisda Lisda, Lisda M Yoka Fathoni Mahazam Afrad Maryona Septiara Maulida Ayu Fitriani Maulida Ayu Fitriani Muhamad Azrino Gustalika Nenen Isnaeni Nicolaus Euclides Wahyu Nugroho Novian Adi Prasetyo Wahyu Andi Saputra Yesy Diah Rosita Yit Hong Choo