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All Journal Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Jupiter Jurnal Simetris Seminar Nasional Informatika (SEMNASIF) JIKO (Jurnal Informatika dan Komputer) Jurnal Ilmiah Matrik Jurnal Sisfokom (Sistem Informasi dan Komputer) Journal of Information Systems and Informatics Jurnal Ilmiah Betrik : Besemah Teknologi Informasi dan Komputer JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Informanika Journal of Computer and Information Systems Ampera Journal of Software Engineering Ampera Jurnal Pengembangan Sistem Informasi dan Informatika Jurnal Indonesia : Manajemen Informatika dan Komunikasi Jurnal Pengabdian kepada Masyarakat Jurnal Pengabdian kepada Masyarakat Bina Darma Ngabdimas : Pengabdian Pada Masyarakat Jurnal Informatika: Jurnal Pengembangan IT NGABDIMAS: Jurnal Pengabdian Pada Masyarakat Jurnal Indonesia : Manajemen Informatika dan Komunikasi
Muhammad Nasir
Universitas Bina Darma
Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Public Health Social Sciences Other

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Journal : Jurnal Pengembangan Sistem Informasi dan Informatika

 1 
Penerapan Metode C4.5 Berbasis Particle Swarm Optimization Untuk Memprediksi Penjualan Obat Pada Apotek Bunda Azka Desi Lestari; Muhammad Nasir
Jurnal Pengembangan Sistem Informasi dan Informatika Vol. 2 No. 3 (2021): Jurnal Pengembangan Sistem Informasi & Informatika
Publisher : Training & Research Institute - Jeramba Ilmu Sukses

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47747/jpsii.v2i3.554

Abstract

The application of the C4.5 Algorithm based on Particle Swarm Optimization to classify the level of sales of drugs that are often sold at the Bunda Azka Pharmacy, is a strategic thing to reduce the problems experienced by the pharmacy. Classify the level of sales of drugs sold using the C4.5 method. based on particle swarm optimization, to find out whether the C4.5 method based on particle swarm optimization (PSO) can optimize drug sales in the future. This research method uses a descriptive method, namely by conducting case study research by studying activities in the field, observing and interviewing stakeholders. in the initial step of this research is the determination of the attributes that will be processed into data mining with the help of rapidminer tools, this study the author uses the KDD model as a standardization in the data mining process. at the pharmacy. The data will later be processed using the c4.5 algorithm based on Particle Swarm Optimization to find the accuracy results of the prediction of the data. The data sample used is the number of 65 drug transaction records at the Bunda Azka Pharmacy. In the test results, the accuracy of Particle Swarm Optimization was 78.10%, for class recall drug sales was 72.50% and after using Particle Swarm Optimization increased to 78.33%, while precision had an accuracy of 77.92% and after using Particle Swarm Optimization increased to 80.33%. From the results of testing with Particle Swarm Optimization, there is an increase in accuracy of 7.15% from the research application of the C4.5 Method Based on Particle Swarm Optimization to Predict Drug Sales at Bunda Azka Pharmacy.
Co-Authors Agustini, Eka Puji Ahmad Hafidz Aidil Safitra Amelia Vebrianti Andi Santoso Andri Andri Andri Andri, Andri Apriadi Dedi Febrian Desi Lestari DINNY KOMALASARI Dyah Ikhtiarti Edi Supratman Fatoni Fatoni Fatoni Hadi Syaputra Imam Muslikhun Imam Solikin IRMAN EFFENDY Irwan Syahputra Jemakmun, Jemakmun Kurniawan Kurniawan Kurniawan Kurniawan Luh Putu Ratna Sundari M Reza Alhapizi M. Fadhil Mubarokh M. Iqbal Ramdhani Muhammad Iqbal Ramdhani Nanda Hermawansyah Novri Hadinata Nyimas Sopiah Qoriani Widayati Raja Tegar Wahyudi Rasmila Saracen Foust Badr Siti Sauda Susan Dian Purnamasari Susan Dian Purnamasari Suyanto, Suyanto Tiara oktafiani Tomi Kapri Vivi Sahfitri Vivi Sahfitri