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All Journal Jurnal Sains dan Pendidikan Fisika Seminar Nasional Teknik Kimia Kejuangan Journal of Engineering and Technological Sciences Techno LPPM Jurnal Teknologi Mineral dan Batubara Jurnal Geomine RACIC : Rab Construction Research Indonesian Mining Journal Jurnal Mineral, Energi dan Lingkungan Prosiding Seminar Nasional Sains dan Teknologi Terapan Jurnal GEOSAPTA Jurnal Tekno Insentif Jurnal Teknik KURVATEK Jurnal Himasapta Jurnal Mineral, Energi dan Lingkungan Website Prosiding Seminar Teknologi Kebumian dan Kelautan (SEMITAN Jurnal Sosial dan Teknologi Jurnal Inovasi Pertambangan dan Lingkungan INTAN Jurnal Penelitian Tambang Jurnal Riset Rumpun Ilmu Teknik (JURRITEK) Prosiding Seminar Nasional Rekayasa Teknologi Industri dan Informasi ReTII Prosiding Seminar Nasional Teknik Lingkungan Kebumian SATUBUMI Jurnal Teknologi Mineral dan Batubara Indonesian Mining Journal
Cahyadi, Tedy Agung
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Aerospace Engineering Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mechanical Engineering Physics Social Sciences Transportation

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Journal : Jurnal Tekno Insentif

 1 
METODE KOMPARASI ARTIFICIAL NEURAL NETWORK PADA PREDIKSI CURAH HUJAN - LITERATURE REVIEW Herlina Jayadianti; Tedy Agung Cahyadi; Nur Ali Amri; Muhammad Fathurrahman Pitayandanu
Jurnal Tekno Insentif Vol 14 No 2 (2020): Jurnal Tekno Insentif
Publisher : Lembaga Layanan Pendidikan Tinggi Wilayah IV

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36787/jti.v14i2.150

Abstract

Abstrak - Penelitian untuk mencari model prediksi curah hujan yang akurat di berbagai bidang sudah banyak dilakukan, maka dilakukan di-review kembali guna membantu proses penyaliran dalam perusahaan tambang. Review dilakukan dengan membandingkan hasil dari setiap model yang telah dilakukan pada beberapa penelitian sebelumnya. Penelitian ini menggunakan metode kuantitatif. Model yang dibandingkan pada penelitian di antaranya yaitu model Fuzzy, Fast Fourier Transformation (FFT), Emotional Artificial Neural Network (EANN), Artificial Neural Network (ANN), Adaptive Ensemble Empirical Mode Decomposition-Artificial Neural Network (AEEMD-ANN), E-SVR-Artificial Neural Network (E-SVR-ANN), Artificial Neural Network Backpropagation (BPNN), Adaptive Splines Threshold (ASTAR), Seasonal First-Order Autoregressive (SAR), Gumbel, Autoregressive Integrated Moving Average (ARIMA), Feed Forward Neural Network (FFNN), Support Vector Machine (SVM), Adaptive Neuro-Fuzzy Inference System (ANFIS), dan Artificial Neural Network-Fuzzy (ANN-Fuzzy). Hasil dari review menyimpulkan bahwa model Artificial Neural Network memiliki beberapa kelebihan dibandingkan dengan metode yang lain, yakni ANN mampu memberikan hasil yang dapat mengenali pola-pola dengan baik dan mudah dikembangkan menjadi bermacam-macam variasi sesuai dengan permasalahan maupun parameter yang ada, sehingga ANN direkomendasikan untuk perhitungan prediksi hujan. Abstract - Various kinds of research have been carried out to find accurate models to predict rainfall in various fields, so the research that has been done previously was reviewed again to help the drainage process in mining companies. The review is done by comparing the results of each model that has been conducted in several previous studies. This research used quantitative methods. Models compared in this study include the Fuzzy model, Fast Fourier Transformation (FFT), Emotional Artificial Neural Network (EANN), Artificial Neural Network (ANN), Adaptive Ensemble Empirical Mode Decomposition-Artificial Neural Network (AEEMD-ANN), E-SVR -Artificial Neural Network (E-SVR-ANN), Artificial Neural Network Backpropagation (BPNN), Adaptive Splines Threshold (ASTAR), Seasonal First-Order Autoregressive (SAR), Gumbel, Autoregressive Integrated Moving Average (ARIMA), Feed Forward Neural Network (FFNN), Support Vector Machine (SVM), Adaptive Neuro-Fuzzy Inference System (ANFIS), and Artificial Neural Network-Fuzzy (ANN-Fuzzy). The results of the review concluded that the Artificial Neural Network model has several advantages compared to other methods, namely ANN is able to provide results that can recognize patterns well and easily developed into a variety of variations in accordance with existing problems and parameters, so ANN is recommended for rain prediction calculation.
Co-Authors A. Belo, Delia Ximenes Abdul Halim Pelu Achmad Sadikin Agus Panca Adi Sucahyo Aisyah Salma Aji Lambang Hidayah Amrin, Dedy Andrawina Wina Angggian R., Shahensah Anand Anton Sudiyanto Anton Sudiyanto Arif Munandar Arrina Khanifa Astika Putri Roshinta Bagus Wiyono Bagus Wiyono Barlian Dwinagara Butungan, Jeragustivia Dahono Haryanto Dedy Amrin Deka Citra Dinata Delia Ximenes A. Belo Divina Maria Marques Doni Firdaus Fadlil Dwi Januar Ariyanto Dwi Mayanti Mega Lesmana Dwi Poetranto Waloeyo Adji Dwi Yolanda Sumbung Dyah Nunki Yalesrie Eddy Winarno Eddy Winarno Eddy Winarno, Eddy Edy Nursanto Edy Nursanto Edy Nursanto Edy Nursanto Edy Nursanto Eman Widijanto Erwedi Erwedi Erwedi, Erwedi Faizal Agung Riyadi Gabriel Ranteallo Gandar Mahojwala Genadi Toar Nainggolan Gunawan Nusanto Hadi Purwanto Halimah Tusak Diah Hana Trijayanti Hartono Hartono Hartono Hartono Hartono Hartono Sihir Hasywir Thaib Siri Hasywir Thaib Siri Hasywir Thaib Siri hasywir thaib siri, hasywir thaib Hengky Anggoro Heru Suharyadi Ifa Aulia Chusna Ilham Firmansyah Imawati, Rika Indah Setyowati Indah Setyowati Indun Titisariwati Indun Titisariwati Indun Titisariwati Jayadianti, Herlina Jeragustivia Butungan Jeremia Christopher Herbert Siregar Johan Danu Prasetya kadek nando setiawan nando Karel Lutan Warda Ketut Gunawan Khanifa, Arrina Kresno Kresno Kresno Kresno Lesmana, Dwi Mayanti Mega Lilik Eko Widodo M. Rahman Yulianto Marques, Divina Maria Masjon Parhusip Moh Ardiansyah Mohammad Nurcholis Monica Warih Widi Krisanti Muhammad Arifin Nur Muhammad Fathurrahman Pitayandanu Muhammad Iqbal Ansori Muhammad Tri Aditya Muhammad Tri Aditya Muhammad Wildan Ilyasa Nainggolan, Genadi Toar Notosiswoyo, Sudarto Nur Ali Amri Nur Ali Amri Nur Ali Amri Nur Ali Amri, Nur Ali Nurkhamim Nurkhamim Nurkhamim Nurkhamim, Nurkhamim Peter Eka Rosadi Prasetya, Johan Danu Rahmat Aditya Ramadhana Adi Rusyada Rendy Fahlevi Resa Risal Pradita Rika Ernawati Rika Ernawati Rika Ernawati Rika Ernawati Rika Ernawati Rika Ernawati Rika Imawati Risaldi Hidayat Rusdi Darmawan S. Koesnaryo Sabrina Umi Khabibah Sari Bahagiarti Kusumayudha Sari Bahagiarti Kusumayudha satria fitrio SB, Waterman Shahensah Anand Angggian R. Sigit Bagus Prabowo Singgih Saptono, Singgih Sudarto Notosiswoyo Sudaryanto Suyono Suyono Suyono Suyono Suyono Syihab, Zuher Tri Aditya, Muhammad Ulfa Nindya Kesuma Warsito Vega Vergiagara Vinansius Jimmy Jati Waterman SB Waterman SB Waterman SB Waterman SB Waterman Sulistyana Bargawa Waterman Sulistyana Bargawa Waterman Sulistyana Bargawa Waterman Sulistyana Bargawa Waterman Sulistyana Bargawa Waterman Sulistyana Bargawa, Waterman Sulistyana Wawong Dwi Ratminah Wenny Kartika Widijanto, Eman Widodo, Lilik Eko Widyawanto Prastistho Winda Winda Yohana Nodarika Maharani Yohana Noradika Maharani Yohana Noradika Maharani Zuher Syihab