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All Journal Jurnal Multidisiplin Madani (MUDIMA) Serambi Engineering
Ahmad Suaif
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Civil Engineering, Building, Construction & Architecture Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Energy Engineering Environmental Science Industrial & Manufacturing Engineering Social Sciences

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Design of an Internet of Things-based Fall Detection System and Feedforward Neural Network with Edge Impulse Kurniawan, Wahyu; Nike Dwi Grevika Drantantiyas; Ahmad Suaif
Jurnal Serambi Engineering Vol. 10 No. 3 (2025): Juli 2025
Publisher : Faculty of Engineering, Universitas Serambi Mekkah

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Abstract

The increasing elderly population in Indonesia presents a significant challenge in ensuring safety, particularly concerning the risk of falls, which can lead to serious injuries. This study aims to design and develop a fall detection device based on the Internet of Things and a Feedforward Neural Network algorithm. The system was built using an ESP32 microcontroller and ADXL345 accelerometer sensor, and integrated with firebase and nodered to enable real time fall notifications via whatsapp. The SisFall dataset was utilized, consisting of two primary classification labels fall and activities of daily living . Data processing and model training were carried out using the Edge Impulse platform. Three different models were evaluated, and Model 1 was selected as the best-performing model after hyperparameter tuning, achieving the highest accuracy of 99.7% and the lowest loss of 0.02. The model was quantized to int8 format for efficient edge deployment. Real world testing of the device involved 30 movement variations, each tested five times. Results showed that the system achieved a classification accuracy of 95.76%, precision of 97.22%, sensitivity of 93.33%, and specificity of 97.78%. These metrics indicate that the fall detection system was successfully developed and demonstrates excellent and reliable performance for practical applications.
Design of Programmable Logic Controller (PLC) on Smart Fertilizer Distribution System Nike Dwi Grevika Dranatantiyas; Annisa Herliana; Ahmad Suaif; Zunanik Mufidah
Jurnal Multidisiplin Madani Vol. 3 No. 11 (2023): November, 2023
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/mudima.v3i11.6954

Abstract

The control system in agriculture is an important study to regulate the application of fertilizers to plants. The control system can use PLC control system which has good system robustness and easy program language. The purpose of this research is to design a simulated fertilizer irrigation system based on a programmable logic controller (PLC) system. The PLC program used is CX-program and the simulator circuit uses Fluidsim simulator. The system components used are the main reservoir, pump, solenoid valve, valve, level sensor, and light indicator. The system is organized by dividing inputs and outputs that are directly integrated into the PLC system. The components are arranged using fluidsim and the PLC control system using CX-Programmer using ladder logic language. The control system integration and system circuitry are connected using KeepServerEX. The output of this system is a successful operation function and a digital system response to the time of the system. From the results of the system response provides a fairly good timeliness so that this irrigation system can be considered in the implementation of fertilizer delivery system
Co-Authors Annisa Herliana Mufidah, Zunanik Nike Dwi Grevika Dranatantiyas Nike Dwi Grevika Drantantiyas Wahyu Kurniawan