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Journal : IJISTECH

Analysis of ANN Backpropagation Ability to Predict Expenditure Group Inflation Mhd Ali Hanafiah; Ni Luh Wiwik Sri Rahayu Ginantra; Achmad Daengs GS
IJISTECH (International Journal of Information System and Technology) Vol 4, No 2 (2021): May
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v4i2.103

Abstract

The Covid-19 pandemic that has hit the world, especially Indonesia, has greatly disturbed the stability of the inflation rate. Inflation that continues to increase will disrupt the economy in this country. Therefore this study aims to analyze the ability of ANN backpropagation which will be applied to predict the development of the inflation in Indonesia during the Covid-19 pandemic so that later it can be useful information for the government and society. The research data used is inflation data according to expenditure groups obtained from CBS (Central Statistics Agency) in January-May 2020. Prediction is done using the backpropagation neural network algorithm. This paper uses four network architectures, namely: 3-5-1, 3-10-1, 3-25-1 and 3-50-1. Based on the training and testing of the four models, the 3-10-1 model is the best architectural model that is suitable for predicting the development of the inflation in Indonesia with an accuracy of 75%. Also, this model performs an iteration of 25303 and an MSE test of 0.0362820326. Based on the prediction results in June-August 2020 and real data obtained from the Central Statistics Agency, ANN using the backpropagation method is highly recommended to be used to predict the development of Indonesian Inflation according to the Expenditure Group.
Co-Authors Abdi Rahim Damanik Anandita, Ida Bagus Gede Aniek Suryanti Kusuma, Aniek Suryanti Ariana, Anak Agung Gede Bagus Asana, I Made Dwi Putra Atmaja, Ketut Jaya Christina Purnama Yanti Christina Purnama Yanti Christina Purnama Yanti Christina Purnama Yanti Dewa Ayu Putri Wulandari Dewa Ayu Putri Wulandari Dewi, Ni Wayan Jeri Kusuma Dwipayana, Ida Bagus Rama Faisal Amir Gede Surya Mahendra GS , Achmad Daengs Harly Okprana Hendrawati, Theresia I Gede Iwan Sudipa I Gede Rian Lanang Oka I Gusti Agung Indrawan I Gusti Ayu Agung Diatri Indradewi Ika Okta Kirana Ilham Tri Maulana Indra Pratistha Jasmir Krismentari, Ni Kadek Bumi Made Suci Ariantini Mahmuda Lailiya Meri Aryati, Ni Wayan Mhd Ali Hanafiah Ni Kadek Ariasih, Ni Kadek Ni Kadek Nita Noviani Pande Ni Ketut Utami Nilawati NI LUH PUTU MERY MARLINDA Ni Putu Adelia Indah Paramita Ni Putu Eka Swari Ni Putu Suci Meinarni Ni Wayan Eva Agustini Ni Wayan Jeri Kusuma Dewi Ni Wayan Suardiati Putri Ni Wayan Wardani Ni Wayan Wardani Pande Putu Sukma Awantari Penanta, Aditya Prasetya, I Kadek Diksa Bayu Pressa Persana Surya Saputra Putra, I Kadek Andika Putu Surya Wedra Lesmana Saiman, Clarita Mutiara Samsul Lutfi Sandi, Victor Ari Sandika, I Kadek Budi Sastaparamitha, Ni Nyoman Ayu J Silfia Andini, Silfia Surya Hendraputra Sutarwiyasa, I Ketut Teuku Afriliansyah Toraja, Dewa Gede Victor Ari Sandi Wanto, Anjar Wardani, Ni Wayan Wayan Gede Suka Parwita Wayan Sauri Peradhayana Widiartha, I Komang Kurniawan Widiartha, Komang Kurniawan Wiguna, I Komang Arya Ganda Winatha, Komang Redy Wulandari, Dewa Ayu Putri