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Danang Purwanto
Nusa Putra University
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Public Health Social Sciences Transportation Other

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Journal : Fidelity : Jurnal Teknik Elektro

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Adaptive Neuro-Fuzzy Inference System (ANFIS) Method for Developing a Decision Support System for Determining Landslide Susceptibility Dede Sukmawan; Muchtar Ali Setyo Yudono; Danang Purwanto; Dio Damas Permadi; Anang Suryana; Utamy Sukmayu Saputri; Marina Artiyasa
Fidelity : Jurnal Teknik Elektro Vol 5 No 1 (2023): Edisi Januari 2023
Publisher : Universitas Nusa Putra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52005/fidelity.v5i1.131

Abstract

Landslide catastrophes are one of the disasters that frequently occur in Indonesia owing to the weather and climatic features, regional terrain, and geological formations that make this nation prone to landslides. The primary goal of this research is to compare the application of the fuzzy logic technique and the adaptive neuro-fuzzy inference system (ANFIS) approach to landslide detection sensors based on prior research in order to identify landslide-prone locations more easily. The Adaptive Neuro-Fuzzy Inference System (ANFIS) technique analyzes the landslide area using three factors. Rainfall, land slope, and soil moisture are examples of these factors. This variable is used to assess the area's level of vulnerability to landslides: very safe, relatively safe, relatively potential, potential, and very potential. In the study, each piece of data is subjected to a training and testing procedure to identify landslide vulnerability, with the factors and weighting methods aligned with current government standards. This study compares the rules outcomes to those of past studies as well as the system results. Based on the studies findings, it can be stated that the decision support system for the degree of landslide vulnerability utilizing the ANFIS approach is superior to the fuzzy logic method, with an accuracy rate of 86.21%.
Co-Authors Abdul Rahman Abdul Rahman Abdul Rahman Abdul Rahman Adilest, Johan Akbar, Aslam Maulana Alfiradesti, Suciana Alif Luthfiasari Amalia Nurhaliza Anang Suryana Andreas Triwiyono Anggarini, Khusnul Widya Anif Jamaluddin Anindita, Dominica Adeline Shiva Astika, Fina Aulia Atik Catur Budiati Avany Aisya Alfiani Alfiani Azizah, Hana Nur Bagas Narenda Parahita BAGAS NARENDRA PARAHITA Bagas Narendra Parahita Bunga Widarizki, Restik Chusnaini, Nur Darin Alya Husniyah Dea Reny Novita Dea Suandi Putri Dede Muhamad Nurdin Jaya Dede Sukmawan Deshinta Arovva Dewi Desi Nurvianti Desy Wulandari Dewanti Fitria Wahyu Alfionita Dewi, Revana Silvia Dimas Rahadian Aji Muhammad, Dimas Rahadian Aji Dini Oktarina Dwi Handayani Dio Damas Permadi Dio Damas Permadi Dita Ananda Dora, Meylawati Dwi Astutik Dwi Astutik Dwi Astutik Dzikriyah, Fathurohmah Putri Ernawati Fajar Julian Santosa Fatihah, Rochmani Putri Fatihah, Rochmani Putri Fatlina Hijriyanti Fauzi Nur Afifudin Febian Akbar Al Husaini Fina Aulia Astika Gariska, Patria Dhony Ghufronuddin Ghufronuddin Ghufronudin .Ghufronudin Ghufronudin Ghufronudin Ghufronudin, Ghufronudin Halimah, Lia Nur Hanifah Ihsaniyati Hanny Nur Shofia Arifah Hasanatul Jannah Hidayat, Muhammad Ariyan Hijriyanti, Fatlina Iman Satyarno Indah Nurhidayati, Indah Ismail Ismail Isna Nugraheni Khusnul Widya Anggarini Kornienko Elena Vladimirovna Krisna Rendi Awalludin Kristanto*, Rangga Dwi Kurniawan, Hasna Lestari, Khilma Ayu Lestari, Mutiara Dwi Lia Nur Halimah Luthfiasari, Alif Madhan, Nuvaisha Nur Maheswari, Adinda Tri Puji Mardiani Rahayu Pramesti Marina Artiyasa Matrunevich Oksana Viktorovna Matrunevich Oksana Viktorovna Maulida Muflihah, Istikana Mochammad Fikri Fadhillah Muchtar Ali Setyo Yudono Mugi Ardiansyah Muhammad Ariyan Hidayat Muhammad Hidayat Muhammad Hidayat Mushofa, M Hafiz Mutiara Dwi Lestari N. Nurhadi Nabila Shofiatuz Zahroh NaeliRachmawati Nayang Locita Afni Nirmala Sari, Dinda Novia Tri Utami Noviana, Renzi Novita Aprilia Nurhadi Nurhadi, Nurhadi Nuri Luthfi Asih Nurvianti, Desi Nuzul Isnaini Fathurrahmah Okost Maksim Viktorovich Pamungkas, Muhamad Ichsan Tri Prabaswara, Dyatmika Pudyastuti, Septina Galih Purwaningsih Putra, Aryasena Mahesa Putri Larasati Putri Larasati Kiyato Raden Roro Ilma Kusuma Wardani Ramadante, Fadila Ratna Puji Lestari Renzi Noviana Riadi Syafutra Siregar Riski, Firli Alfa Rohima Tazkiyah Rosyida Ronald Tri Pamungkas Rozandi, Ardin Rui Arda, Extana Safitri, Windi Putri Fila Saifuddin Zuhri Saifuddin Zuhri Santosa, Fajar Julian Saputra, Alit Adi Saputri, Utamy Sukmayu Septiana, Wulan Septina Galih Pudyastuti Setyorini, Safitri Siregar, Riadi Syafutra Sri Lestari Ningsih Syfa Nuril Auliya Taufik Rido Titalia Disa Rahmasari Tsulis Iqbal Khairul Amar Tsulis Iqbal Khairul Amar Ubaidulloh, Ervin Muhammad Ulfa, Amalia Nadifta Umar Aditiawarman Vina Nurita Rohmawati Wahyudi Wahyudi Wardana, Bagus Adi Wardani, Raden Roro Ilma Kusuma Widiarti, Endang Retno Widiyanto Widiyanto Widiyanto Widiyanto Widjaya, Envilia Rahmadhani Wilis Wening Windi Putri Fila Safitri Yosafat Hemawan Trinugraha Yosafat Hermawan Trinugraha, Yosafat Hermawan Yuhastina Yuhastina Yuhastina Yuhastina, Yuhastina Yunazar, Rizky Zacharia, Nasywan Nur Zalina, Nur