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Journal : Indonesian Journal of Engineering Research

Flood Detection Using Backpropagation Neural Network Method Ani Dwi Ratnasari; Hasin, Khoirul; Subagio Soim; Setiawan, Bambang Teguh; Afif Zuhri Arfianto
Indonesian Journal of Engineering Research Vol 3 No 1 (2022): Indonesian Journal of Engineering Research
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/ijer.v3i1.40

Abstract

Lack of river and watershed management will cause problems and disasters. One of it is the flood that can cause physical, social and economic loss. So countermeasures or flood anticipation are needed by using the Early Warning System (EWS) to provide early information if a flood is going to occur. This study uses five input indicators: temperature, humidity, water discharge, water surface altitude and rainfall data that will produce output in the form of notifications and alarms for the Early Warning System (EWS). Then the input and output data configuration will be processed using a Backpropagation Neural Network. Data used is data recorded in real-time on the research object for two weeks with the composition of training and testing data with a percentage of 80% and 20%. The best backpropagation neural network model used has the input of 5 neurons layer architecture, 15 neurons as the hidden layer and three neurons as the output layer. The flood prediction result uses the Backpropagation Neural Network method, has an RMSE score performance of 2.16e-21 and a percentage success testing system of 91.33%. It shows that the model has an excellent accuracy level.
Development of Fish Distribution Information System for Digital Virtual Assitant based on Harvesine with LoRA Node Dwi Sasmita Aji Pambudi; Afif Zuhri Arfianto; Muhammad Khoirul Hasin; Dimas Pritovani Riananda
Indonesian Journal of Engineering Research Vol 4 No 2 (2023): Indonesian Journal of Engineering Research
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/ijer.v4i2.48

Abstract

The pressing issue of suboptimal and inefficient traditional fishing practices among local communities. Traditional fishermen often operate with inadequate equipment, resulting in less-than-optimal fishing outcomes. In this context, the lack of modern tools and techniques hinders the effectiveness of fish capture. Addressing these challenges is crucial for enhancing the productivity and sustainability of traditional fishing practices. The study aims to develop an advanced Fish Distribution Information System tailored for a Digital Virtual Assistant using the Haversine method and LoRA nodes. This system provide instantaneous, location-specific details about fish distribution and involves designing a data logger serving as repository for travel histories, utilizing a website as the user interface interfacing with a Leaflet map in a Geographic Information System (GIS). The Haversine method is employed for precise distance computations between LoRA Gateway, information about fish distribution, and unfavorable weather conditions within the specified area. the resukt show that The distance displayed on the website with the haversine method with excel calculation comparison produces an error calculation of 0.157%, while the percentage error for GPS latitude accuracy is 0.000116% and longitude percentage is 0.000002%. RSSI performance at LoRA ranges from -57dBM at a distance of 50m and -121dBM at a distance of 1500m.
Co-Authors A Aminudin A S Setiyoko Abdul Kodir Djaelani Abdullah Fiqru Siech ABS, M Khoirul Adam Maulana, Adam Maulana Adhitya, Ryan Yudha Adi, Muhammad Adimassyah Adianto Adianto Adianto Adianto Adianto Afif Zuhri Afif Zuhri Arfianto Afif Zuhri Arifianto Agus Khumaidi Agus Khumaidi Agus Nurcahyo Akmal, Revanza Akmal Pradipta Alfianto Taufiqul Malik Anggarjuna Puncak Pujiputra Ani Dwi Ratnasari Aqshal Ilham Fadhillah Ardhan, Mohammad Ardhan Fawwaz Arfianto , Afif Zuhri Arfianto, Afif Zuhri Arie Indartono Arninputranto, Wibowo Asri, Purwidi Aulia Nadia Rachmat Bambang Teguh Setiawan Basuki Rahmat Bayu, Nurissabiqoh Binta Budi, Perdinan Setia C R Handoko C. I. Sutrisno Chikita Anisa Poerestika D A Utari Dewi Kurniasih Dewi Rizani Ruwahida Dian Asa Utari Dian Asa Utari Didi, Perdinan Setia Budi Didik Sukoco Dika Rahayu Widiana Dimas Pristovani Riananda Dimas Pritovani Riananda Dody Hidayat Dwi Sasmita Aji Pambudi Edy Prasetyo Hidayat Edy Setiawan Eng Imam Sutrisno Fiqrotin Nur Asita Fiqrotin Nur Asita Fitri Hardiyanti Gusti Audryadmaja, Anugerah Ekha H A Widodo Ihsania, Tsabita Ii Munadhif Ii Munadhif Ii'Munadhif Imam Sutrisno Isa Rachman Isa Rachman Joko Endrasmono Laili Ayu Sa’diah Lilik Subiyanto M B Rahmat Malik, Alfianto Taufiqul Masitah, Dewi Ayu Mat Syai'in Mat Syai'in Miftachudin Miftachudin Moh. Andy Wiranata Mohammad Abu Jami’in Mohammad Basuki Rahmad Mohammad Basuki Rahmat Mohammad Basuki Rahmat Mohammad Basuki Rahmat, Mohammad Basuki Muhamad Nasir MUHAMMAD NIAL ALANUS SHOLAH Muhammad Rafi Solakhudin Mustika Kurnia Mayang Sari Nancy Nurinasari Nurcahyo, Agus Nurissabiqoh Binta Bayu Prayoga, Yusma'el Khammi Pujiputra, Anggarjuna Puncak Purwoko, Ageng Rochmad Joko Putri Nur Rahayu Radianto, Denny Oktavina Rahmat, M. Basuki Ramadani, Yury Novian Ramadhan, Novalliansyah Ramadhan Renanda Nia Rachmadita Riananda, Dimas Pristovani Richo Richo Richo, Richo Rinanto, Noorman Rizal Indrawan Rohmansyah, Ade Fitra Ruwahida, Dewi Rizani Ryan Yudha Adhitya Ryan Yudha Adhitya Ryan Yudha Aditya Sa'diyah, Aminatus Santosa, Anisa Fitri Sheilla Nurlailly Insani Sholahuddin Muhammad Irsyad Siti Zaenab, Siti Zaenab Subagio Soim Syai’in, Mat Tabah Uji Antoro Trio Andika Putra Ulya, A. Arif Zuchal Urip Mudjiono, Urip Wardana, Raditya Prabaswara Widya Primaswari Putri1 Yesica Novrita Devi Yudha Adhitya, Ryan Yuning Widiarti Zindhu Maulana Ahmad Putra