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All Journal JSM (Jurnal SIFO Mikroskil) Scientific Journal of Informatics Jurnal Teknologi dan Sistem Komputer Informatika Mulawarman: Jurnal Ilmiah Ilmu Komputer Jurnal Pilar Nusa Mandiri JURNAL REKAYASA TEKNOLOGI INFORMASI Prosiding SAKTI (Seminar Ilmu Komputer dan Teknologi Informasi) Jurnal Pelayanan dan Pengabdian Masyarakat (Pamas) TEPIAN JNANALOKA Buletin Poltanesa Prosiding Seminar Nasional Rekayasa Teknologi Industri dan Informasi ReTII
Awang Harsa Kridalaksana
Universitas Mulawarman
Aerospace Engineering Agriculture, Biological Sciences & Forestry Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Physics Social Sciences Transportation Other

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Journal : Jurnal Teknologi dan Sistem Komputer

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Prediksi Kedatangan Turis Asing ke Indonesia Menggunakan Backpropagation Neural Networks Haviluddin Haviluddin; Zainal Arifin; Awang Harsa Kridalaksana; Dedy Cahyadi
Jurnal Teknologi dan Sistem Komputer Volume 4, Issue 4, Year 2016 (October 2016)
Publisher : Department of Computer Engineering, Engineering Faculty, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (718.944 KB) | DOI: 10.14710/jtsiskom.4.4.2016.485-490

Abstract

In this paper, a backpropagation neural network (BPNN) method with time series data has been explored. The BPNN method to predict the foreign tourist’s arrival to Indonesia datasets have been implemented. The foreign tourist’s arrival datasets were taken from the central agency on statistics (BPS) Indonesia. The experimental results showed that the BPNN method with two hidden layers was able to forecast foreign tourist’s arrival to Indonesia. Where the mean square error (MSE) as forecasting accuracy has been indicated. In this study, the BPNN method is able and recommended to be alternative methods for predicting time series datasets. Also, the BPNN method showed that effective and easy to use. In other words, BPNN method is capable of producing a good value of forecasting.
Co-Authors Addy Suyatno Adytama Annugerah Ahmad Rofiq Hakim Ahmad, Faqih Nur Akmal Erfani Armi Anindita Septiarini, Anindita Anton Prafanto Ariel Hidayat Arman Gani Atik Tia Nalarwati, Atik Tia Azahari Baskoro, Roby Gunawan Chandra Nugraha Darwin Darwin Dedi Cahyadi Dedy Cahyadi Dedy Cahyadi Dedy Cahyadi, Dedy Desryanti Djo Radja Dewi Fitri Dewi, Catur Kumala Doni Saputra Dyna Marisa Khairina Fahrul Agus Fahrul Agus Faqih Nur Ahmad Febri Utama Florentinus Nino Fresly Nandar Pabokory Friandy Dwi Noviandha Gandhi Dwi Laksono Genolang, Christian Agustin Gubtha Mahendra Putra Hamdani . Hamdani Hamdani Hamri Effendi Hanis Setiawati Permatasari Haryadi, Rina Masithoh Hatta, Heliza Rahmania Haviluddin Haviluddin Heliza Rahmania Hatta, Heliza Rahmania Hendi, Hendi Hendrawati Hendrawati Hermawan, Erinda Novtarika Ilaidha Ikayanti Ikayanti Indah Fitri Astuti Indah Fitri Astuti Indah Fitri Astuti, Indah Fitri Kamila, Vina Zahrotun Khoirunnita, Aulia Laksono Trisnantoro Mifza Ferdian Putra Muhammad Bambang Firdaus Muhammad Nur Fahmi Muhammad Olly Muhammad Salahudin, Muhammad Mu’nisah Assisi Najib, Naufal Nasution, Ali Napiah Norma Yanti Nugroho, Basuki Rahmat Prafanto, Anton Purnawansyah Purnawansyah Puspitasari, Novianti Ramadiani - Rasni Alex Ratri Widianingsih Reza Andrea Reza Wardhana Ricyono, Agus - Rionaldo Putra Rosdania Rosdania Rosmasari Rosmasari Rosmasari Salamah, Ummi Sembiring, Rinawati Septya Maharani, Septya Sihombing, Yobel Fernanda Sri Wulandari Taruk, Medi Tri Sulasni Ulan Ari Anti Wahyu Indianto Wati, Masna Yulianto Yulianto Yulianto Yulianto Yundari, Yundari Zainal Arifin Zainal Arifin