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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 SEMINAR TEKNOLOGI MAJALENGKA (STIMA)
Pauzan, Muh
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Agriculture, Biological Sciences & Forestry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Public Health Social Sciences Transportation 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.
PENERAPAN INTERNET OF THINGS UNTUK KEANGGOTAAN PERPUSTAKAAN UNIVERSITAS WIRALODRA BERBASIS RFID Sodikin, Luthfia; Pauzan, Muh; Yanti, Indri
SEMINAR TEKNOLOGI MAJALENGKA (STIMA) Vol 7 (2023): STIMA 7.0 "Transformasi Peradaban Akademik Menyongsong Revolusi Industri 5.0"
Publisher : Universitas Majalengka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31949/stima.v7i0.941

Abstract

This research aims to address the challenges in library service management at Wiralodra University by implementing an Internet of Things (IoT)-based book borrowing system. The Mixed-Methods approach is employed, combining qualitative and quantitative data. Utilizing NodeMCU Esp8266, RFID RC522, LED, Buzzer, and LCD I2C for hardware, and PHP programming language with a MySQL database for software, the system enables self-registration of new members, book borrowing, and returns. Test results show an average card reading time of 8 seconds for unregistered cards and 7 seconds for registered ones. Implementation of this system enhances service efficiency, reduces time wastage, and provides a more convenient borrowing experience for students. This research offers an effective solution to enhance IoT-based library management, improving access to knowledge for Wiralodra University students.
KAJIAN POTENSI PENGGUNAAN MODUL NRF24L01 SEBAGAI BEL NIRKABEL OTOMATIS BERBASIS ARDUINO Firliansyah, Tegar; Pauzan, Muh; Yanti, Indri
SEMINAR TEKNOLOGI MAJALENGKA (STIMA) Vol 7 (2023): STIMA 7.0 "Transformasi Peradaban Akademik Menyongsong Revolusi Industri 5.0"
Publisher : Universitas Majalengka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31949/stima.v7i0.943

Abstract

An investigation of the potential for making wireless doorbells based on the NRF24L01 module has been studied. The transmitter and receiver modules are made, the transmitter module consists of an Arduino as a controller, an NRF24L01 module as a signal transmitter and an HC SR-04 ultrasonic sensor as a detector for guests in front of the house. The receiver module consists of an Arduino, NRF24L01 as a receiver of signals sent from the transmitter module and a buzzer which is the functions is to provide notification to the home owner. The NRF24L01 module is used because of its large communication distance, up to 100 m. Besides that the NRF24L01 module can communicate with more than one NRF24L01 modules. Based on the results of testing the performance of the device, the longest communication distance between the transmitter module and the receiver module was obtained in conditions without obstructions, clear glass barriers, cardboard barriers and house wall barriers of xx, xx, xx, xx, respectively. Based on the current consumption test, the transmitter and receiver modules use 50.21 and 60.23 mA respectively. The power source of the transmitter module is from two Li-Ion batteries with a total capacity of 600 mAh. Based on the calculations made, the battery with this capacity can last on the transmitter module for 35.22 hours. While the receiver module is directly connected to the PLN power source.
SMART LAMP BERBASIS ARDUINO NANO YANG DIKONTROL OLEH APLIKASI MOBILE Tamrin, Tamrin; Yanti, Indri; Pauzan, Muh
SEMINAR TEKNOLOGI MAJALENGKA (STIMA) Vol 7 (2023): STIMA 7.0 "Transformasi Peradaban Akademik Menyongsong Revolusi Industri 5.0"
Publisher : Universitas Majalengka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31949/stima.v7i0.944

Abstract

Arduino nano based smart lamp has been made. The BH1750 light sensor is used as input for light intensity from the environment and the RTC DS3231 as input for time, date and day. The smart lamp is controlled via a mobile application. MITApp Inventor platform is used to build mobile applications. In the application, there are three modes, namely manual mode, sensor-based automatic and scheduling mode. Mode selection is operated through a mobile application, communication between the smartphone and the device uses Bluetooth communication. In manual mode, the user can press the ON or OFF button at any time. In sensor-based automatic mode depends on the light intensity conditions around the device, if the light intensity is < 10 lux then the lamp will turn on automatically, if the value is > 10 lux then the lamp will be turned off automatically. In the scheduling mode, users can also turn ON and turn OFF the lamp on a scheduled basis, such as when the lights are turned on at 18:00 WIB and turned off at 06:00 WIB. The test results show that in manual mode the system works as expected, in automatic mode the sensor also works as intended. In scheduled mode, the smart lamp works according to the set time by user
Co-Authors ., Darsanto Ade Bastian ade rahmawati Arti, Pipit Puji Betha Rossi H, Stephanie Dandi, Muhamad Denni Ismunandar Firliansyah, Tegar 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 Sodikin, Luthfia Tamrin Tamrin Yanti, Indri