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All Journal Jurnal Matematika JURNAL SISTEM INFORMASI BISNIS Jupiter TELKOMNIKA (Telecommunication Computing Electronics and Control) GRADIEN Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Ilmiah Ekonomi Islam JPM (Jurnal Pemberdayaan Masyarakat) BAREKENG: Jurnal Ilmu Matematika dan Terapan Dinamisia: Jurnal Pengabdian Kepada Masyarakat SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Jurnal AKSI (Akuntansi dan Sistem Informasi) Martabe : Jurnal Pengabdian Kepada Masyarakat Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal Eksakta : Berkala Ilmiah Bidang MIPA Jurnal Informatika Global Antivirus : Jurnal Ilmiah Teknik Informatika Jurnal Abdimas Mahakam DIKEMAS (Jurnal Pengabdian Kepada Masyarakat) Jurnal Abdimas Mandiri Abdimas Galuh: Jurnal Pengabdian Kepada Masyarakat Reswara: Jurnal Pengabdian Kepada Masyarakat Jurnal Generic Jurnal Nasional Ilmu Komputer Jurnal Pengabdian dan Peningkatan Mutu Masyarakat (JANAYU) Lumbung Inovasi: Jurnal Pengabdian Kepada Masyarakat Jurnal Penelitian Pendidikan Matematika JUSTIN (Jurnal Sistem dan Teknologi Informasi) Accounting and Finance Studies Aptekmas : Jurnal Pengabdian Kepada Masyarakat Jurnal Akuntansi INTECH (Informatika dan Teknologi)
Imelda Saluza, Imelda
Universitas Indo Global Mandiri
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Journal : GRADIEN

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Aplikasi Metode Jaringan Syaraf Tiruan Backpropagation dalam Meramal Tingkat Inflasi di Indonesia Saluza, Imelda
GRADIEN : Jurnal Ilmiah MIPA Vol 11, No 1 (2015): (Januari 2015)
Publisher : Universitas Bengkulu

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Abstract

Inflation is one of the important indicators in analyzing the economy of a country. One aspect that could detect the stability of Rupiah, the Indonesian Currency, is reflected in low inflation and stability. Furthermore, in determining a country’s rate of inflation for a period ahead, time series forecasting could be used as one alternative. Forecasting is a statistical method which plays an important role in delivering a decision. Forecasting the future based on past information from a variable or past mistakes is called time series. The inflation rate is one of financial data, which tends to be non linear and volatile. Therefore, neural network forecasting is used.
Co-Authors Abdul Aziz Zulfikar Agustina Heryati Ahmad Sanmorino Akbar, Muhamad Hafiz Alie, Muhammad Fadhiel Alpin Herman Saputra Andini Utari Putri Anggraini, Leriza Desitama Anjani, Fia Sakina Antoni, Darius Ariati, Nining Aulia, Beta Bagus Setiawan Bobby Halim Cyndika Dewi Sartika DEWI SARTIKA Dewi Sartika Dewi Sartika Dhamayanti Dhamayanti Dhamayanti Dhamayanti Dhamayanti Dhamayanti, Dhamayanti Dona Marcelina Eko Nugroho, Muhammad Davidio Endah Dewi Purnamasari Endah Purnamasari Endah Puspita Sari Ensiwi Munarsih, Ensiwi Eva Susanti Evi Yulianti EVI YULIANTI Fadhiel Alie, Muhammad Faradilla Faradilla Faradillah , Faradillah Faradillah Faradillah Faradillah, Faradillah Fattah, Hussein Hariyansa, Meru Hartati Hartati Hartati Hatika Hatika, Hatika Heryati , Agustina Heryati*, Agustina Husnawati Husnawati Iisnawati, Iisnawati Indah Permata Sari Indah Permatasari Indah Permatasari Indah Permatasari Indah Pratiwi Putri Indah, Sylvia Uly Kesuma, Hendra Di Kesuma, Hendra Di Lastri Astuti Lastri Widya Astuti Lastri Widya Astuti Lastri Widya Astuti, Lastri Widya Leriza Anggraini M. Fadhiel Alie Marcelina, Dona Marcellina, Dona Maya Amelia Mohammad Taufikurrahman Muhammad Fadhiel Alie Muhammad Haviz Irfani Nazori Suhandi Nining Nova Yanti Maleha Patriansah, Mukhsin Pratiwi, Indah Putri Putri, Hilda Muslia Putri, Indah Pratiwi Ramadhan, Mustafa Rini Yunita, Rini Roswaty Roswaty Roswaty Roswaty Roswaty Roswaty Roswaty Roswaty, Roswaty Rudi Heriansyah Rudi Heriansyah, Rudi Sartika, Dewi Sinta Habibah Sunardi, Hastha Suryati Syachrul Haq, Muhammad Raka Syahrul Haq, Muhammad Raka Teguh Teguh Wulandari, Try Yulianti, Evi Yulius, Yosef Zulfikar, Abdul Aziz