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Journal : Qomaruna

Optimasi Filter Bandpass Aktif untuk Sinyal Lemah Menggunakan Quantum Particle Swarm Optimization pada Studi Kasus Spektral Daya Sinyal Electroencephalogram Pramartaningthyas, Ellys Kumala; Lostari, Aini
Jurnal Studi Multidisiplin Qomaruna Vol 1 No 2 (2024): 2024
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat (LPPM), Universitas Qomaruddin, Gresik, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62048/qjms.v1i2.46

Abstract

This research focuses on using Quantum Particle Swarm Optimization to optimize active bandpass filters for weak signals. Electroencephalograph signal data obtained from other researchers was used as a case study in this research. This Electroencephalogram signal data, consisting of 1280 signal amplitudes with a sampling frequency of 256 Hz, was characterized before being fed into Quantum Particle Swarm Optimization for optimization. The optimization goal of Quantum Particle Swarm Optimization is to achieve a signal frequency range with a maximum average power value. For bandpass filter design, the frequency range obtained from Quantum Particle Swarm Optimization is used as a reference. The frequency range of 9.9 Hz to 13 Hz and 15.99 Hz to 30 Hz provides optimal conditions. The filter design is based on the frequency range of optimization results and component values R1, R2, and R3 respectively 5.1M?, 10.2 M?, and 1M? with C1=C2=0.01?F for frequencies 9.9 Hz to 13 Hz, and a value of 1 .2M?, 2.4 M?, and 1M? each with C1=C2=0.01?F for frequencies 15.99 Hz to 30 Hz.
Rancang Bangun Prototype Sistem Kontrol Suhu dan Monitoring PH Air Pada Aquarium Benih Ikan Lele Dumbo Menggunakan Arduino UNO dan NodeMcu Berbasis IoT (Internet Of Things) Hariyadi, Mohammad; Pramartaningthyas, Ellys Kumala; Ma'shumah, Siti; Salam, Mohammad Fikri Abdullah
Jurnal Studi Multidisiplin Qomaruna Vol 2 No 1 (2024): 2024
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat (LPPM), Universitas Qomaruddin, Gresik, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62048/qjms.v2i1.60

Abstract

Cultivation of Dumbo Catfish requires optimal water quality management to ensure healthy fry growth. Key parameters to monitor are water temperature and pH, as imbalances can negatively affect the health and growth of the fish. This study aims to design and develop a prototype water quality monitoring system based on the Internet of Things (IoT) using Arduino UNO and NodeMCU. In ideal cultivation conditions, the optimal water acidity (pH) ranges between 6–9, and the ideal water temperature is 26–30 °C. Using Arduino UNO and NodeMCU IoT technology, fish farmers can more easily control temperature and monitor water pH in the fry nursery aquariums. Arduino is the microcontroller, while the NodeMCU Wi-Fi module connects the microcontroller to the Blynk application as the user interface. Temperature regulation is achieved through water heaters and Peltier elements. Test results indicate that the system can maintain an average temperature of 26 °C and an average pH of 6, consistent with manual measurements using a water thermometer and litmus paper. The heating and cooling systems function optimally, with an average delay time of 13.5884298 milliseconds, significantly lower than the 150-millisecond threshold. Thus, the system operates effectively, facilitating fish farmers in real-time monitoring and controlling aquarium water quality.
Rancang Bangun Sistem Kontrol dan Monitoring Suhu dan Kelembaban Tanah pada Greenhouse berbasis Internet of Thing menggunakan Aplikasi Telegram Pramartaningthyas, Ellys Kumala; Ma'shumah, Siti; Mahmudah, Ratna Sri
Jurnal Studi Multidisiplin Qomaruna Vol 1 No 1 (2023): 2023
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat (LPPM), Universitas Qomaruddin, Gresik, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62048/qjms.v1i1.29

Abstract

The quality of plant growth is significantly influenced by environmental factors, including temperature, air humidity, soil moisture, light intensity, and air quality. Therefore, an agrotechnology approach is required to manage exposure to these environmental factors in accordance with the needs of plant growth processes, which can be achieved through greenhouse technology. To facilitate real-time and remote monitoring and control in the greenhouse farming system, this research involves the design of a temperature and humidity control and monitoring system based on the Internet of Things (IoT). This study employed a NodeMCU ESP8266 microcontroller and a DHT11 sensor to detect the temperature and humidity levels in the greenhouse. The performance test results show that the system works well according to the programming algorithm provided, with an average error rate of 1.2% for the temperature sensor and 1.17% for the humidity sensor. The test results for notification delay time on the Telegram application also meet the standard requirements of Telecommunications and Internet Protocol Harmonization Over Networks (TIPHON), with an average delay value of 0.532882 ms