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All Journal Jurnal Matematika Techno.Com: Jurnal Teknologi Informasi JITEK (Jurnal Ilmiah Teknosains) Al-Wijdan : Journal of Islamic Education Studies Journal of Mathematics and Mathematics Education (JMME) Unisda Journal of Mathematics and Computer Science (UJMC) International Journal of Computing Science and Applied Mathematics Buana Matematika : Jurnal Ilmiah Matematika dan Pendidikan Matematika Systemic: Information System and Informatics Journal EDUTEC : Journal of Education And Technology MATHunesa: Jurnal Ilmiah Matematika Jurnal Pengabdian Masyarakat: BAKTI KITA Community: Jurnal Pengabdian Kepada Masyarakat
Mohammad Syaiful Pradana, Mohammad Syaiful
Universitas Islam Darul 'Ulum Lamongan
Religion Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Education Engineering Languange, Linguistic, Communication & Media Mathematics Mechanical Engineering Public Health Social Sciences Veterinary Other

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Journal : Systemic: Information System and Informatics Journal

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Klasifikasi Multi Output pada Harga Smartphone Menggunakan Learning Vector Quantization (LVQ) dan Backpropagation (BP) Dinita Rahmalia; Mohammad Syaiful Pradana; Teguh Herlambang
Systemic: Information System and Informatics Journal Vol. 6 No. 2 (2020): Desember
Publisher : Program Studi Sistem Informasi Fakultas Sains dan Teknologi, UIN Sunan Ampel Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29080/systemic.v6i2.967

Abstract

There are many smartphones with various price sold in market. The price of smartphone is affected by some components such as weight, internal storage, memory (RAM), rear camera, front camera and brands. There are two methods for classifying price class of smartphone in market such as Learning Vector Quantization (LVQ) and Backpropagation (BP). From classifying price class of smartphone in market using LVQ and BP, there are the differences on the both of them. LVQ classifies price range of smartphone by euclidean distance of weight and data on its iteration. BP classifies price range of smartphone by gradient descent of target and output on its iteration. In multi output classification, one object may have multi output. Based on simulation results, BP gives the better accuracy and error rate in training data and testing data than LVQ.
Co-Authors Ahmad Abi Yazid Al-Bustomy Arroziq Ahmad Haris Arif Rohmatullah Aslichatul Jannah Awawin Mustana Rohmah Buyun Khulel Buyun Khulel, Buyun Crisna Mulya Prabowo Dinita Rahmalia, Dinita Dyla Putri Rahmawati Ericha Dwi Ayu Prahastini Gadis Retno Apsari Hafnah Khilwatul Ilmi Hasbullah, Muhammad Afif Haykal Abidin hudi, moh I Ketut Suada Istiqomah, Istiqomah Lutvia Muniroh M Afif Hasbullah Minhatin Nisaatus Sholikhah Mu'tasim Billah Muhsin Nasrul Fawa’idl Niken Ayu Azhari Nisaul Barokati Seliro Wangi Novita Eka Chandra, Novita Eka Nur Khofifah Nur Nensi Nurdini, Aisyah Tur Rif’atin Rifky Ardhana Kisno Saputra Saifuddin Saifuddin Samsul Huda Selirowangi, Nisaul Barokati Shofwan Ali Fauji Sholikhah, Minhatin Nisaatus Siti Alfiatur Rohmaniah Siti Alfiatur Rohmaniah Siti Amiroch, Siti Siti Masnikafah Teguh Herlambang Umi Maftukhah Vira Nanda Atikah Wangi, Nisaul Barokati Seliro Yusnia Megasari