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All Journal Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Teknologi dan Sistem Komputer Jurnal SOLMA Elektrika JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Gema Wiralodra Abdi Wiralodra : Jurnal Pengabdian Kepada Masyarakat International Journal of Engineering Continuity Journal of Software Engineering And Technology
Pauzan, Muh
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Agriculture, Biological Sciences & Forestry Civil Engineering, Building, Construction & Architecture Computer Science & IT Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Materials Science & Nanotechnology Mechanical Engineering Public Health Social Sciences Other

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Electronic Nose Based on Sensor Array for Classification of Beef and Rat Meat Using Backpropagation Artificial Neural Network Method Rusjayanti, Diana; Yanti, Indri; Pauzan, Muh
International Journal of Engineering Continuity Vol. 3 No. 1 (2024): ijec
Publisher : Sultan Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58291/ijec.v3i1.241

Abstract

The differentiation of beef and rat meat is crucial for food safety and consumer protection. This research aims to create a tool to distinguish between beef and rat meat and to analyze the training data patterns for both types of meat. A sensor array consisting of three gas sensors—TGS822, TGS2602, and TGS2610—was used to detect the presence of Metal Oxide Semiconductor (MOS) gases in the meat samples. The classification method employed was a backpropagation artificial neural network (ANN). Results indicate that the classification tool performs well in differentiating beef from rat meat, with distinct patterns observed in the training data for each type of meat. The model achieved a precision of 100%, a recall (sensitivity) of 80%, and an accuracy of 90%. However, the TGS2610 sensor did not show a significant difference between beef and rat meat, suggesting no variance in the gas content detected by this sensor. These findings highlight the potential of using such sensors in practical applications for meat detection and underscore the need for further refinement in sensor selection and system integration to improve classification performance.
PENGEMBANGAN ALAT PENDETEKSI ASAP PADA KAMAR HOTEL BERBASIS INTERNET OF THINGS (IOT) DI INDRAMAYU Margana, Ferry Kurniawan; Pauzan, Muh
Elektrika Vol. 16 No. 1 (2024): April 2024
Publisher : Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/elektrika.v16i1.8374

Abstract

The development of IoT-based smoke detectors using NodeMcu ESP8266 and smoke sensors has achieved satisfactory results. This tool has succeeded in providing an effective solution as a responsive early detection of fire. The implementation of remote monitoring through the website allows access to smoke detection information from far-flung locations, providing flexibility and affordability in security surveillance. NodeMcu ESP8266 as an IoT platform proved to be the right choice, bringing the ease of connectivity of tools with the internet. The device's quick response to the presence of smoke at various sensor distances confirms its reliability in detecting potential fires. The success of this research highlights the great potential of IoT technology in improving the level of security, especially in detecting fire threats efficiently. With tested and responsive tools, further implementation and development of functionality can be explored. Overall, the development of smoke detectors promises to make a positive contribution to the understanding and application of IoT technology in the context of public security and safety. Keywords: IoT-Based Smoke Detectors, NodeMcu ESP8266, Remote Monitoring, Fire Early Warning Systems, Sensor Technology. ABSTRAKPengembangan alat pendeteksi asap berbasis IoT menggunakan NodeMcu ESP8266 dan sensor asap telah mencapai hasil yang memuaskan. Alat ini berhasil memberikan solusi efektif sebagai pendeteksi dini kebakaran yang responsif. Implementasi monitoring jarak jauh melalui website memungkinkan akses informasi deteksi asap dari lokasi yang berjauhan, memberikan fleksibilitas dan keterjangkauan dalam pengawasan keamanan. NodeMcu ESP8266 sebagai platform IoT terbukti menjadi pilihan yang tepat, menghadirkan kemudahan konektivitas alat dengan internet. Respons cepat alat terhadap keberadaan asap pada berbagai jarak sensor menegaskan kehandalannya dalam mendeteksi potensi kebakaran. Kesuksesan penelitian ini menyoroti potensi besar teknologi IoT dalam meningkatkan tingkat keamanan, khususnya dalam mendeteksi ancaman kebakaran secara efisien. Dengan alat yang teruji dan responsif, implementasi lebih lanjut dan pengembangan fungsionalitas dapat diexplorasi. Secara keseluruhan, pengembangan alat pendeteksi asap ini menjanjikan kontribusi positif terhadap pemahaman dan penerapan teknologi IoT dalam konteks keamanan dan keselamatan masyarakat.
Co-Authors ., Darsanto Ade Bastian ade rahmawati Arti, Pipit Puji Betha Rossi H, Stephanie Dandi, Muhamad Denni Ismunandar Hamidah , Idah Karimah, Imroatul Margana, Ferry Kurniawan Muhammad Rifki Ningsih, Nilu Widia Noval, Roihan Pangarsi Dyah Kusuma Wardani, Siti Qothrunnada, Lysaa Rofiansyah, Mochamad Fadhiil Rusjayanti, Diana Sobikhah, Sobikhah Yanti, Indri