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Widodo Saputra
STIKOM Tunas Bangsa, Pematangsiantar, Indonesia
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Journal : JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING

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Implementation of Resilient Methods to Predict Open Unemployment in Indonesia According to Higher Education Completed Saputra, Widodo; Hardinata, Jaya Tata; Wanto, Anjar
JITE (JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING) Vol 3, No 1 (2019): EDISI JULI
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (218.484 KB) | DOI: 10.31289/jite.v3i1.2704

Abstract

Unemployment is a big problem faced by the Indonesian people from year to year besides poverty. Therefore it is necessary to predict the level of open unemployment in Indonesia so that later the government and private parties have the right references and references to work together to overcome this problem. The prediction method used is Resilient Backpropagation which is one method of Artificial Neural Networks which is often used for data prediction. The research data used is open unemployment data according to the highest education completed in 2005-2018 based on the semester obtained from the website of the Indonesian Central Bureau of Statistics. Based on this data a network architecture model will be formed and determined, including 12-6-2, 12-12-2, 12-18-2, 12-24-2, 12-12-12-2, 12-12-18 -2, 12-18-18-2 and 12-18-24-2. From these 8 models after training and testing, the results show that the best architectural model is 12-18-2 (12 is the input layer, 18 is the number of hidden neurons and 2 is the output layer). The accuracy of the architectural model for semester 1 and semester 2 is 75% with an MSE value of 0.0022135087 and 0.0044974696
Implementation of Resilient Methods to Predict Open Unemployment in Indonesia According to Higher Education Completed Widodo Saputra; Jaya Tata Hardinata; Anjar Wanto
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol 3, No 1 (2019): EDISI JULI
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v3i1.2704

Abstract

Unemployment is a big problem faced by the Indonesian people from year to year besides poverty. Therefore it is necessary to predict the level of open unemployment in Indonesia so that later the government and private parties have the right references and references to work together to overcome this problem. The prediction method used is Resilient Backpropagation which is one method of Artificial Neural Networks which is often used for data prediction. The research data used is open unemployment data according to the highest education completed in 2005-2018 based on the semester obtained from the website of the Indonesian Central Bureau of Statistics. Based on this data a network architecture model will be formed and determined, including 12-6-2, 12-12-2, 12-18-2, 12-24-2, 12-12-12-2, 12-12-18 -2, 12-18-18-2 and 12-18-24-2. From these 8 models after training and testing, the results show that the best architectural model is 12-18-2 (12 is the input layer, 18 is the number of hidden neurons and 2 is the output layer). The accuracy of the architectural model for semester 1 and semester 2 is 75% with an MSE value of 0.0022135087 and 0.0044974696
Co-Authors A'an Cun Abdi Rahim Damanik Abdi Rahim Damanik Agus Perdana Windarto Ahmad Yani Aldo Daniel Purba Anggi Martua Valentino Sianipar Arif Ramadhan Siregar Azhar Fadilah Zuhri Bahrudi Efendi Damanik Bahrudi Efendi Damanik Bahrudi Efendi Damanik Berkat Iman Setia Dawolo Bintang, Daud Budi Paul Sitompul Damanik, Abdi Rahim Dedy Hartama Dedy Hartama Dedy Hartama Dedy Kristianto Lumbantobing Dewi, Rafiqa Dhea Halimah Eka Irawan Fahmi Firzada Firzada, Fahmi Hardinata, Jaya T Hartama, Dedy Hendry Qurniawan Hendry Qurniawan Heru Satria Tambunan Heru Satria Tambunan Iin Parlina Iin Parlina Iin Parlina Ika Purnama Sari Indra Gunawan Indra Gunawan Indra Gunawan Indra Gunawan INDRA GUNAWAN Irfan Sudahri Damanik Jaya Tata Hardinata Khairwa Bakhsar Kusuma, Rizky Tri Lulu Apriliani Lumbantobing, Dedy Kristianto Luvita Yolanda Hutabarat M Safii M. Safii Muhammad Ridwan Lubis Muhammad Ridwan Lubis Muhammad Ridwan Lubis Nasution, Della Fatricia Nasution, Zulaini Masruro Nur Hasanah Lubis Okprana, Harly Oktaviani, Selli Paul V M Poningsih Poningsih Poningsih, Poningsih Riahta Ulina Br. Barus Rika Nur Adiha Robertus Silalahi Robiansyah, Wendi Rut Indra Lita Sinaga Sibarani, Horainim Silaban, Herlan F Sitompul, Wati Rizky Pebrianti Solikhun Solikhun Solikhun Solikhun Solikhun Solikhun Solikhun Solikhun Solikhun Solikhun Solikhun, Solikhun Sri Muliani Damanik Sri Nuraini Sri Rahayu Ningsih Sumarno Sumarno . Sumarno Sumarno Sumarno Sumarno Sundari Retno Andani Sundari Retno Andani Surya Darma Surya Darma Veithzal Rivai Zainal Wanto, Anjar Yovan Bastian Zulaini Masruro Nasution Zulia Almaida Siregar