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All Journal Brilliance: Research of Artificial Intelligence SIGMA: Information Technology Journal
Anwar, M. Syaibani
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Computer Science & IT Decision Sciences, Operations Research & Management Mathematics Other

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Application of the C 4.5 Algorithm to Classify Customer Characteristics at PT. Bayer Indonesia Siswandi, Arif; Anwar, M. Syaibani; Susilo, Arif; Hasibuan, Sultan
Brilliance: Research of Artificial Intelligence Vol. 4 No. 1 (2024): Brilliance: Research of Artificial Intelligence, Article Research May 2024
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v4i1.4174

Abstract

PT. Bayer Indonesia is a company engaged in drug production. In running its business, companies need to know customer characteristics in determining what actions to take next. This research aims to apply the C 4.5 algorithm in classifying customer characteristics at PT. Bayer Indonesia. The C 4.5 algorithm is a decision tree algorithm that is often used in data mining for classification purposes. This research was conducted to make it easier to find out customer characteristics. Starting with collecting data, then selecting the attributes that will be used. Then the data is separated using split data, the initial comparison used is 60% train data and 40% test data. Then training data is carried out using the C4.5 algorithm. Next, the classification results were evaluated using the confusion matrix method. The data used was 200 data with 9 attributes, obtained an accuracy of 86.25%, precision of 86.25% and recall of 54.55%. Then change the data split parameters to 70% : 30%, 80% : 20% and 90% : 10%. The best accuracy is 100%. The research results show that the C 4.5 algorithm has good performance in classifying the characteristics of PT customers. Bayer Indonesia. The resulting model can be used by companies for more effective marketing strategies and personalized customer service.
Application of the C 4.5 Algorithm to Classify Customer Characteristics at PT. Bayer Indonesia Siswandi, Arif; Anwar, M. Syaibani; Susilo, Arif; Hasibuan, Sultan
Brilliance: Research of Artificial Intelligence Vol. 4 No. 1 (2024): Brilliance: Research of Artificial Intelligence, Article Research May 2024
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v4i1.4174

Abstract

PT. Bayer Indonesia is a company engaged in drug production. In running its business, companies need to know customer characteristics in determining what actions to take next. This research aims to apply the C 4.5 algorithm in classifying customer characteristics at PT. Bayer Indonesia. The C 4.5 algorithm is a decision tree algorithm that is often used in data mining for classification purposes. This research was conducted to make it easier to find out customer characteristics. Starting with collecting data, then selecting the attributes that will be used. Then the data is separated using split data, the initial comparison used is 60% train data and 40% test data. Then training data is carried out using the C4.5 algorithm. Next, the classification results were evaluated using the confusion matrix method. The data used was 200 data with 9 attributes, obtained an accuracy of 86.25%, precision of 86.25% and recall of 54.55%. Then change the data split parameters to 70% : 30%, 80% : 20% and 90% : 10%. The best accuracy is 100%. The research results show that the C 4.5 algorithm has good performance in classifying the characteristics of PT customers. Bayer Indonesia. The resulting model can be used by companies for more effective marketing strategies and personalized customer service.
Rancang Bangun Sistem Informasi Inventaris Barang Berbasis Web Pada Cv. Kembar Jaya Mandiri Hardianti, Fazrin Putri; Maulana, Donny; Afriantoro, Irfan; Suratman, Suratman; Anwar, M. Syaibani
Jurnal SIGMA Vol 15 No 3 (2024): Desember 2024
Publisher : Teknik Informatika, Universitas Pelita Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37366/sigma.v15i3.6040

Abstract

Sistem manajemen inventaris berbasis web ini dirancang untuk meningkatkan efisiensi dan akurasi dalam manajemen inventaris. Penelitian ini menggunakan kajian pustaka, observasi langsung, dan analisis kebutuhan sistem untuk merancang sistem yang mencakup fitur-fitur seperti manajemen data inventaris, pelacakan barang masuk dan keluar, dan pelaporan inventaris secara real-time. Sistem ini dibangun menggunakan teknologi seperti HTML, CSS, PHP, MySQL, dan UML, dengan fitur keamanan termasuk enkripsi data dan manajemen kontrol akses. Hasil pengujian menunjukkan bahwa sistem ini secara efektif mengurangi kesalahan manusia, meningkatkan efisiensi, dan menyediakan informasi inventaris yang akurat dan real-time, sehingga menjadikannya solusi yang efektif bagi organisasi.
Co-Authors Afriantoro, Irfan ARIF SUSILO Hardianti, Fazrin Putri Hasibuan, Sultan Maulana, Donny Siswandi, Arif Suratman Suratman