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All Journal TEKNIK INFORMATIKA Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Eksplora Informatika JURNAL ILMIAH INFORMATIKA KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Jurnal Pengabdian Masyarakat Sains dan Teknologi Journal of Computing and Informatics Research J-Icon : Jurnal Komputer dan Informatika
Dedy Hartama
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Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Social Sciences Other

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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 | 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
Klasifikasi Peminatan Topik Keilmuan Dalam Penyelesaian Studi Menggunakan Algoritma Naive Bayes Waldi Setiawan; Dedy Hartama; Muhammad Ridwan Lubis; Ihsan Syajidan; Agus Perdana Windarto
Journal of Computing and Informatics Research Vol 3 No 2 (2024): March 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/comforch.v3i2.1200

Abstract

Academic expertise is a subject of study taught at the university level to assist students in completing their thesis writing, thereby enabling them to successfully complete their graduate studies. The chosen academic specialization aligns with the vision and mission of each program and can have a positive impact on the university. Students' chosen fields of expertise in completing their studies may either align or not align with the program's vision and mission. The variables used in this research are GPA, MKRV1, MKRV2, and Academic Expertise. The aim of this research is to determine how many students select an academic topic that aligns with the program's vision and mission, particularly in this case, the Computer Science program, as they complete their studies. The Naïve Bayes algorithm is employed in this research, yielding an accuracy rate of 98.11%. This research can provide valuable insights for STIKOM Tunas Bangsa Pematang Siantar to understand the extent to which students from other programs choose academic expertise that aligns with the vision and mission of each program.
Co-Authors Achmad Noerkhaerin Putra Agus Perdana Windarto Ahmad Riza Fuadi Ambariyanto Ambariyanto Cici Astria Dwi Findi Auliasari Eko Ahadi Fahmi Firzada Ginanti Riski Gita Febrianti Hanifah Urbach Sari Ihsan Syajidan Ika Okta Kirana Indra Gunawan Indra Swanto Ritonga Jonas Rayandi Saragih Khairunnissa Fanny Irnanda Kristin Daya Rohani Sianipar Muasir Pagan Muhammad Ridwan Lubis Muhammad Zarlis Nasib Marbun P.P.P.A.N.W Fikrul Ilmi R.H Zer Rizky Khairunnisa Sormin Sapriyaldi, Muhammad Septri Wanti Siahaan Sinta Maulina Dewi Solikhun Suranta Bill Fatric Ginting Surya Darma Waldi Setiawan Wanayumini Wanto, Anjar Wendi Robiansyah