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A Graph Theory Approach for Spatial Data-Based Surface Water Flow Modeling Firgiawan, Wawan; Nirwana, Hafsah; Wajidi, Farid; Zainuddin, Zahir; Ahyar, Muh.
SINTECH (Science and Information Technology) Journal Vol. 7 No. 1 (2024): SINTECH Journal Edition April 2024
Publisher : Prahasta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31598/sintechjournal.v7i1.1480

This research proposes an innovative approach that combines graph theory with spatial data to model surface water flow with the Single Flow Direction (SFD) concept, also known as the D8 algorithm. The objective is to show the water flow from the ground surface to a lower place. The research methodology involves collecting spatial data from the Digital Elevation Model (DEMNAS) in raster data type format. Test results show that the effectiveness of the graph approach in modeling water flow can produce clear flow output. This happens because each pixel traversed by water is connected by a line that forms a well-defined water flow path. This study significantly stimulates the development of more sophisticated modeling tools and practical applications in the future. This can help in more efficient management of water resources or produce more accurate flow modeling, contributing to improved understanding and better management of the environment.

Implementation of Sentiment Analysis and Social Network Analysis of Twitter User Opinions on Web-Based Political Issues Muharram, Syair; Asriyadi, Asriyadi; Ahyar, Muh.
Jurnal Teknologi Elekterika Vol. 21 No. 2 (2024)
Publisher : Jurusan Teknik Elektro Politeknik Negeri Ujung Pandang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31963/elekterika.v21i2.5102

The functionality of both sentiment analysis and social network analysis on social media such as Twitter or X can holds significant potential for understanding public opinion, especially in political-related issues. Despite its potential, there is currently lack of application that can provide these types of analyses. This research aimed to help to analyse public opinion in the field of political issues by using sentiment analysis and social network analysis techniques that can help to analyse the tendency of public opinion polarity on Twitter or X social media and to visualize the relationship of social media accounts with other social media accounts. The results obtained from this research are web applications that can help in problems related to sentiment analysis and network analysis using libraries from the Python programming language, and NodeJs. Based on the results of blackbox testing and technical testing, it can be concluded that the system that has been built can run in accordance with the predetermined design.

Rancang Bangun Prototype Pengaksesan Gudang Menggunakan Sistem Pengenalan Wajah Huda, Nur; Bastian, Alvian; Ahyar, Muh.
KOMPUTEK Vol 8, No 2 (2024): Oktober
Publisher : Universitas Muhammadiyah Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24269/jkt.v8i2.2992

In the era of globalization, technology is developing rapidly and has become an important aspect in improving security. Traditional security systems such as keys and access cards have several disadvantages, such as the risk of loss and misuse. To overcome this, this research designed and built a prototype warehouse access system using facial recognition technology based on ESP32-CAM and Firebase as a real-time database. This system aims to increase security and efficiency in managing warehouse access. The facial recognition system uses the Haar cascade classifier algorithm to detect and recognize the user's face, with an ESP32-based control module integrated with the camera, keypad and LCD screen. System testing involves variables such as facial expressions, accessories, lighting, and distance to ensure optimal performance in a variety of conditions. Apart from facial recognition, the system is also equipped with an alternative method of access using a PIN as a backup. Test results show that the system works well in various scenarios, with the level of usability assessed using the System Usability Scale (SUS) reaching a score of 76.7, which indicates a good level of usability. It is hoped that this system can be implemented to improve the security and efficiency of warehouse access in the future.

Design and implementation of an internet of things enabled stress level detection system using fuzzy logic method for enhanced accuracy and real-time monitoring Nurhayati, Nurhayati; Hidayah, Nur; Ahyar, Muh.; Asriyadi, Asriyadi; Yuniarti, Yuniarti; Faraby, Muhira Dzar; Mustika, Mustika; Akhriana, Asmah; Mukhlisin, Mukhlisin
International Journal of Electrical and Computer Engineering (IJECE) Vol 15, No 2: April 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v15i2.pp2499-2512

Stress can affect individuals of all ages, from the young to the elderly, leading to a compromised immune system and increased susceptibility to illness. This study addresses this issue by developing an internet of things (IoT) based stress level detection system utilizing fuzzy logic methods. The device measures multiple physiological parameters and processes the data using an ESP32 microcontroller. This allows individuals to monitor and understand their stress levels efficiently and automatically through a liquid crystal display (LCD) display and Android devices. The system integrates various sensors to capture vital signs such as heart rate (HR), respiration rate, and body temperature. These readings are then analyzed using its algorithms to determine the stress level, which is displayed on both the onboard LCD and the connected Android device via an IoT interface. This real-time feedback mechanism empowers users to take proactive measures in stress management. Testing and validation of the device were conducted by comparing its readings with the depression anxiety stress scales (DASS-42) test results. The comparison showed an 80% correlation, demonstrating the device’s accuracy and reliability in detecting stress levels. This innovative approach leverages the advantages of IoT and fuzzy logic to provide a practical and effective solution for stress monitoring and management.

Rancang Bangun Prototype Pengaksesan Gudang Menggunakan Sistem Pengenalan Wajah Huda, Nur; Bastian, Alvian; Ahyar, Muh.
KOMPUTEK Vol. 8 No. 2 (2024): Oktober
Publisher : Universitas Muhammadiyah Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24269/jkt.v8i2.2992

In the era of globalization, technology is developing rapidly and has become an important aspect in improving security. Traditional security systems such as keys and access cards have several disadvantages, such as the risk of loss and misuse. To overcome this, this research designed and built a prototype warehouse access system using facial recognition technology based on ESP32-CAM and Firebase as a real-time database. This system aims to increase security and efficiency in managing warehouse access. The facial recognition system uses the Haar cascade classifier algorithm to detect and recognize the user's face, with an ESP32-based control module integrated with the camera, keypad and LCD screen. System testing involves variables such as facial expressions, accessories, lighting, and distance to ensure optimal performance in a variety of conditions. Apart from facial recognition, the system is also equipped with an alternative method of access using a PIN as a backup. Test results show that the system works well in various scenarios, with the level of usability assessed using the System Usability Scale (SUS) reaching a score of 76.7, which indicates a good level of usability. It is hoped that this system can be implemented to improve the security and efficiency of warehouse access in the future.

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