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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 : Bulletin of Artificial Intelligence

 1 
Peramalan Nilai Penjualan Gas Elpiji 3 Kg di Sumatera Utara dengan bantuan Analisis Metode Jaringan Saraf Tiruan Maulidya Rahma Siregar; Adinda Putri Azhari; Dedy Hartama; Agus Perdana Windarto
Bulletin of Artificial Intelligence Vol 1 No 2 (2022): October 2022
Publisher : Graha Mitra Edukasi

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Abstract

This research is related to forecasting the sales value of 3 Kg LPG in North Sumatra. The level of sales is influenced by customer satisfaction, service and customer needs. The purpose of this study is to determine the level of sales of 3 Kg LPG in North Sumatra and can overcome problems and overcome the amount of LPG demand in North Sumatra. So this research is needed using an artificial neural network method with a backpropagation algorithm to find the best sales results. The data used is divided into 2 parts, namely training and test data. The best network is taken from the Mean Square error (MSE) value and the smallest test. The experiments carried out in this study used a data rotation pattern, with 6 training and testing models. The experimental results of the 3-10-1 model are tests with the highest accuracy value, which is 100% and the MSE test is 0.00100005
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