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All Journal JURNAL MEDIA INFORMATIKA BUDIDARMA KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) JURIKOM (Jurnal Riset Komputer) Building of Informatics, Technology and Science TRIDARMA: Pengabdian Kepada Masyarakat (PkM) Journal of Computer System and Informatics (JoSYC) RESOLUSI : REKAYASA TEKNIK INFORMATIKA DAN INFORMASI Journal of Informatics Management and Information Technology KLIK: Kajian Ilmiah Informatika dan Komputer BEES: Bulletin of Electrical and Electronics Engineering Journal of Computing and Informatics Research Bulletin of Artificial Intelligence Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen)
Dedy Hartama
STIKOM Tunas Bangsa, Pematangsiantar
Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Social Sciences

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Journal : Journal of Computing and Informatics Research

 1 
Analisis Model Backpropagation Dalam Meramalkan Tingkat Penjualan Saldo “Link Aja” Dwi Findi Auliasari; Gita Febrianti; Agus Perdana Windarto; Dedy Hartama
Journal of Computing and Informatics Research Vol 2 No 1 (2022): November 2022
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (424.942 KB) | DOI: 10.47065/comforch.v2i1.382

Abstract

Analysis of a prediction (forecasting) is very important in a study, so that research becomes more precise and directed (Wanto and Windarto, 2017). As is the case in predicting the level of Link Aja's balance sales. This research is expected to be useful for an agency as one of the study materials in business development. A system to predict the level of sales of Link Aja balance at PT. Wahana Putra Yudha. Artificial Neural Network is a method that is able to perform a mathematical process to predict the level of sales of Link Aja Balance at PT. Wahana Putra Yudha. By using the backpropagation method, the previous data processing process is carried out which will be used as input to predict the sales level of Link Aja Balance. The data were taken from January 2021 to April 2022. January 2021 to August 2021 were used as training data, while September 2021 to April 2022 were used as test data. The training architecture model used to predict the sales level of Link Aja's Balance is: 4-2-1; 4-25-1; 4-50.1; 4-75-1; and 4-100-1. The best architecture is 4-50-1, the percentage result is 75% in each test
Co-Authors Adinda Putri Azhari Agus Perdana Windarto Alan Boy Sandy Damanik Angga Sihasani Bahrudi Efendi Damanik Bellarmino Wira Permana Cici Astria Dewinta Marthadinata Sinaga Dinda Nabila Batubara Dwi Findi Auliasari Eka Irawan Elsa Indah Sari Ferdinal Rahmat Gea Fitri Anggraini Friskila Parhusip Gita Febrianti Handri Al Fani Heru Satria Tambunan Iin Parlina Ika Okta Kirana Ika Purnama Sari Ilham Saputra Saragih Indra Fransiskus Tarigan Indra Gunawan Indra Gunawan Irfan Christian Saragih Irfan Sudahri Damani, Irfan Sudahri Jalaluddin Jalaluddin Jalaluddin Jalaluddin Jalaluddin Jalaluddin Khairunnissa Fanny Irnanda Kristin Daya Rohani Sianipar Kurnia Sandi Purba M Safii M Safii M. Ridwan Lubis Maulidya Rahma Siregar Mawaddah Anjelita Muhammad Afifuddin Javan Muhammad Aliyul Amri Muhammad Ridwan Lubis Muhammad Syafiq Nurul Rofiqo Okprana, Harly Poningsih Primatama Kurniandisyah S Suhada Saifullah Saifullah Saifullah Solikhun Solikhun Sri Vivi Wahdini Suhada Suhada Suhada Sumarno Sumarno Sumarno Sundari Retno Andani Wanto, Anjar Yuli Septya Ayunda Zepri Pratama Zulaini Masruro Nasution Zulaini Masruroh Nasution