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Yanti, Indri
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Monitoring And Controlling System Based on Internet of Things (IoT) for Ornamental Chrysanthemum Plants Noval, Roihan; 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.v3i1.228

Abstract

Monitoring and controlling system based on Internet of Things has been developed for ornamental chrysanthemum plants. User interface of the system is a website application created using PHP programming language and MySQL as Database Management Systems. The IoT system built are the result of literature review of chrysanthemum plants, such as an ideal soil moisture for chrysanthemum plants is in the range of 40% to 60%, the average plant water requirement is 16.05 ml/day, it is also recommended to apply liquid fertilizer with a high N content of 2g per litre of water every week. This knowledge then applied in the IoT system. Research findings indicated that the device could be controlled through the website and was capable of transmitting real-time soil moisture data. This system not only triggers watering when the soil humidity falls below 41%RH and stops it when reaching 60%RH but also incorporates scheduled fertilizer according to predetermined schedules, meeting the anticipated outcomes. Water and fertilizer pumps produced volumetric flow rate that changed as the level of liquid in the storage tank decreases. The lower the height, the smaller the volumetric flow rate produced, this is due to the influence of hydrostatic pressure.
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.
Implementation of the Fuzzy Logic Mamdani Method in the KUB Chicken Egg Incubator Apriyani, Indra; Yanti, Indri; Darsanto, Darsanto
ULTIMA Computing Vol 16 No 1 (2024): Ultima Computing : Jurnal Sistem Komputer
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/sk.v16i1.3587

Abstract

Poultry farming plays an important role in rural Indonesia's economy, with increasing demand for poultry meat and protein-rich eggs. One of the main challenges for farmers is the limited production of chicken seeds and suboptimal egg incubation methods. Modern egg incubators offer a solution with higher ease and efficiency compared to traditional methods. However, existing machines on the market have weaknesses, such as less accurate temperature and humidity control, and less optimal power source switching. The use of fuzzy logic methods in egg incubators has proven to be more efficient than manual methods, with a hatching success rate of 100% for 10 eggs. Fuzzy logic-based egg incubators start hatching earlier and more on days 18 and 19, while manual methods begin on days 19 and 20. The automatic egg-turning process in fuzzy logic machines saves labor and reduces the risk of error. This research highlights the importance of using accurate sensors and optimal temperature and humidity control systems to improve the success rate of chicken egg hatching. Index Terms”poultry farming; egg hatching; temperature; humidity; fuzzy logic
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 Abduh, Mohamad Anisah Puspowati, Rr. Isni Apriyani, Indra Arti, Pipit Puji BUDIYANTO Darsanto, Darsanto Evi Ekawati Firliansyah, Tegar Karimah, Imroatul Kurnia Sastradipraja, Cecep Ningsih, Nilu Widia Noval, Roihan Pauzan, Muh Pawennari, Andi Qothrunnada, Lysaa Riswanto, Beny Rosmawati Rusjayanti, Diana Sodikin, Luthfia Supriatna, Haris Tamrin Tamrin Yan Herdianzah Yunus, Yosep Syaeful