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Journal : Systemic: Information System and Informatics Journal

Penggunaan Algoritma Jaringan Syaraf Tiruan Propagasi Balik Pada Klasifikasi Data Penggunaan Daya Listrik Zeni Permatasari; Agus Sifaunajah; Nur Khafidhoh
Systemic: Information System and Informatics Journal Vol. 5 No. 2 (2019): Desember
Publisher : Program Studi Sistem Informasi Fakultas Sains dan Teknologi, UIN Sunan Ampel Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (653.399 KB) | DOI: 10.29080/systemic.v5i2.679

Abstract

Electrical Energy has a large contribution to the operational costs that must be incurred. The selection of electrical equipment can be one alternative that might be implemented to reduce operational costs incurred. In its use sometimes users do not know any electrical equipment that uses high electrical power and low electrical power. Therefore a system was made to classify data on electric power usage. This data will be classified into four classes, such as: very efficient, efficient, quite efficient and wasteful. Data classification is done using a back propagation neural network algorithm. The training data set used is 190 data and the test data set is 30 data. Based on the training that has been done, the optimal parameters are learning rate 0.5, target error 0.001, max epoch 10000, and 25 hidden neurons. Tests show that the system is able to recognize data with an accuracy level of 96.67% and MSE of 0.03333. Of the 30 data that have been tested obtained 29 data in accordance with the target. Where the 29 data are classified into 4 classes, namely 9 data classes are very efficient, 6 data classes are efficient, 5 data classes are quite efficient and 9 data classes are wasteful. The results of this study can be concluded that the backpropagation neural network algorithm can be implemented to classify electrical power usage data.
Co-Authors Ahmad Insani Asadullah Ahmad Kharisudin Ashar Ahmad Qomarudin Ahsan Ahmad Qomarudin Ahsan Ahyar, A. Syaugi Al Aldi, Muh Abu Nasher Aldikdar Anggi Indah Yuliana Anggi Indah Yuliana Anton Muhibuddin Arifin, Muhyiddin Zainul Arinda Nurul Fitriah Aris, Moh. Anshori Aris Widya Arjuna Andriyanto Cahyo Nugroho Budi, Angga Setiya Burhan Arifin Cahyono, Vina Anggraini Puspita Sari Chairul Anam, Chairul Chumaidi, Moch. Chyntia Tulusiawati Durrotul Hikmah Eky Mita Nisayanti Elda Inia Agustin Faikhin . Habib Qoirul Tabiin Hariono, Tholib Haryati - Hasan Bisri Isa Alfaris I Gusti Bagus Wiksuana Igo Ardiansyah Ika Nur Amaliah Khoirun Nisa Khotim Fadhli Kinasih, Diesty Ayu Kusworo Adi Laylatul Desia Rohmawati Lum’atul Af’idah M Farid Nasrulloh M. Khoirul Anam M. Khoirul Anam M. Radiman Iskandari Mariam, Isna Septiani Meiliawati, Wanda Miftakhudin, Muhamad Moch Khoirul Faizin Moch. Chumaid Moh. Anshori Aris Widya Mohamad Jamiludin Mohammad Faisol Zuhri Mohammad Habibulloh Muhammad Kholil Asy’ari Muhammad Rifqi Helmi Azhari Muhyiddin Zainul Arifin Muhyiddin Zainul Arifin Mukhmat Abu Sofyan Munawarah Munawarah Nasirudin, Mohamad Novi Dwesti Bahtiar Nudin, Nur lhsan Nur Arini Nur Khafidhoh Nur Khafidhoh Nur Musyarrofatul Mala Qo’id Afifudin Ratna Oktavia Riesca Dewi Wahyuningtyas Ririn Nur Dinni Rosa Tarbiyatul Khusna Saiful Anam Siti Sufaidah Subagiyo - Sufaidah, Siti sujono Susanti, Ambar Viqri Zakaria, Ari Yusril Hendra Maulana Zeni Permatasari Zulfikar Zulfikar - Zulfikar -, Zulfikar Zulfikar Zulfikar