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ANALISIS KOMUNIKASI DATA PADA ALAT MONITORING PASIEN RUMAH SAKIT MENGGUNAKAN MODUL LORA 923 MHz Mochammad Mufti Nurmukhlis; Ponco Siwindarto; Rusmi Ambarwati
Jurnal Mahasiswa TEUB Vol. 11 No. 1 (2023)
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LoRa is one of the most popular LPWAN technologies. LoRa technology is suitable for IoT application scenarios that only need to transmit small amounts of data over long distances and transmit data at low power. The tool system for monitoring hospital patients aims to help and speed up medical records of health services, both under normal circumstances and in critical or urgent situations. LoRa functions as a long-range spectrum communication medium to receive data sent from the detector subsistence. This research focuses on testing Heltec's LoRa range at 923MHz frequency. The parameters used are Received Signal Strength Indicator (RSSI) and Packet loss. The RSSI test results will be compared with the RSSI calculated using the normal log shadowing model. Calculations for the free space area with the addition of shadowing effects. Judging from the range of RSSI values at each test point, RSSI is relatively stable. However, based on the average RSSI testing and calculations, RSSI has decreased while packet 2 loss has increased with each additional distance. From this study, the maximum LoRa range is 180 meters. Keywords: LoRa, IoT, RSSI
KLASIFIKASI SINYAL ELEKTROKARDIOGRAM MENGGUNAKAN METODE ARTIFICIAL NEURAL NETWORK SEBAGAI PENDETEKSI FIBRILASI ATRIUM Made Putera Wiguna; Ponco Siwindarto; Erni Yudaningtyas
Jurnal Mahasiswa TEUB Vol. 11 No. 1 (2023)
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The research currently being developed focuses on the classification of Electrocardiogram (ECG) signals on arrhythmic disorders of the heart rate of the atrial fibrillation type. This monitoring and classification aim to be an early treatment for types of atrial fibrillation arrhythmia disorders. The proposed classification can classify normal patient signals with those of patients with atrial fibrillation using the Artificial Neural Network method with long short-term memory architecture. Data preprocessing techniques on ECG signals before the classification process, namely segmentation, normalization, and feature extraction. The results show that the method used has a very good accuracy value of 94,41%, a sensitivity of 94,52%, and a specificity of 93,74%. Keywords: EKG, Arrhythmia, Atrial Fibrillation, Classification, Artificial Neural Network, Long Short-Term Memory
ANALISIS PERBANDINGAN PENGGUNAAN ANTENA OMNIDIRECTIONAL DAN MIKROSTRIP PADA RECEIVER SISTEM CERDAS MONITORING PASIEN Azzam Rasyiq El-Faraby; Ponco Siwindarto; Muhammad Fauzan Edy Purnomo
Jurnal Mahasiswa TEUB Vol. 11 No. 1 (2023)
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In implementing an IoT-based patient monitoring system, an antenna is needed that is designed to strengthen signal reception. The designed IoT system is a communication of 2 microcontrollers that can transmit important parameters of the patient's condition. The design of the microstrip antenna is integrated into the receiving side of the LoRa 32 V2 SX1276 microcontroller. Thedesign of a microstrip antenna begins with designing and optimizing using the CST 2018 software. The parameters that are the main points are gain, return loss, and axial ratio. Microstrip antenna specifications use an FR-4 substrate with a thickness of 1.6 mm. In addition, this antenna is designed at a frequency of 920-925 MHz, according to the working frequency of the LoRa 32 V2SX1276 microcontroller. Keywords : Antenna, microstrip, lora, CST 2018
SISTEM PEMANTAU KESEHATAN UNTUK PASIEN VIA USER DATAGRAM PROTOCOL (UDP) DAN LONG RANGE (LORA) Hendry Rama Sethiawan; Ponco Siwindarto; Muhammad Fauzan Edy Purnomo
Jurnal Mahasiswa TEUB Vol. 11 No. 1 (2023)
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Recent advances in the Internet of Things (IoT) technology design are spurring the development of intelligent systems to support and enhance healthcare and biomedical-related processes. This study aims to design a health monitoring system for patients through UDP and LoRa and measure heart rate, blood oxygen saturation, ECG signal, and body temperature with a certain method. The methods used include the Photoplethysmogram (PPG) method to measure heart rate and blood oxygen saturation, the infrared reading method to measure body temperature and the 3-lead method to form an Einthoven triangle on the chest to read ECG signals. This system data transmission uses LoRa with a frequency of 923 MHz and Wi-Fi with a frequency of 2.4 GHz that utilizes the User Datagram Protocol (UDP). The results of this study are measurements of each sensor in measuring and sending data via LoRa and Wi-Fi. Keywords: Internet of Things (IoT), heart rate measurement, blood oxygen saturation measurement, ECG signal reading, body temperature measurement, LoRa, User Datagram Protocol (UDP)
RANCANG BANGUN SISTEM FILTRASI OTOMATIS SERTA MONITORING PH DAN SUHU AIR BERBASIS IOT UNTUK AKUARIUM IKAN CUPANG Bono Badar Nugraha; Ponco Siwindarto; n/a Nurussa’adah
Jurnal Mahasiswa TEUB Vol. 11 No. 2 (2023)
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Betta fish is one of the ornamental fish that is quite easy to maintain and is one type of ornamental fish that has high economic value and widely sold in the market. To maintain the quality of water in the betta fish aquarium is done by manually changing the water every few days. The life of ornamental fish in an aquarium is strongly influenced by how the water quality in the aquarium.Water quality can be defined by the value of several aspects such as acidity(pH) and temperature. The use of microcontrollers to perform automation and IoT that can be used to exchange information directly by relying on the use of the internet is a solution to the problem of fish owners. Therefore, this research designs an automatic filtration system as well as IoT-based pH and temperature monitoring for a betta fish aquarium using an Arduino Uno microcontroller, pH sensor, temperature sensor, water level sensor, water pump and NodeMCU. Tests are performed on each sensor and device required as well as testing the automation of the entire system. Based on the test results, the pH sensor has a range of differences in reading values against a pH meter of 0.58% to 1.41%, the DS18B20 temperature sensor has a range of differences in reading values against a digitalthermometer of 0.63% to 1.96% and, the HY-SRF05 water level sensor has a range of differences in reading values against a ruler of 1.38% to 6.10%. In testing the water pump using a relay, it can work according to the input given from the microcontroller. Sensor data transmission on smartphones via the internet with NodeMCU intermediaries shows the similarity of sensor readingdata values with smartphone displays. The test results show that the automatic filtration system and IoT-based pH and temperature monitoring for the betta fish aquarium can work as expected. Key words: Parrot fish, filtration, pH, temperature, IoT
RANCANG BANGUN FUNCTION GENERATOR BERBASIS ARDUINO DENGAN FUNGSI PERIODIK SEBAGAI MASUKAN Muhammad Setyo Hadi Juwono; Ponco Siwindarto; Zainul Abidin
Jurnal Mahasiswa TEUB Vol. 11 No. 2 (2023)
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Function generator is one of the most important and versatile electronic test equipment. Some of its users and uses are research and development, educational institutions, electrical and electronic equipment repair businesses, stimulus/response testing, frequency response characterization, incircuit signal injection, and hobbyist electronics. The waveforms that can be generated by the function generator include Sine waves, Square waves, Sawtooth waves and Triangle waves. The traditional analog function generators are gradually being replaced by digital function generators. However, the existence of function generators in the market has many problems such as high cost, large size, use of complicated methods, troublesome settings, unfriendly interface and so on. Referring to the above problems, an Arduino-based function generator was designed with adjustable input amplitude and frequency. This study aims to offer a function generator option with easy settings for users from electronics hobbyists in designing and testing electronic devices that are currently under development. The use of Arduino in this tool which is the most commonly used Development Board on the market and has a large user community is intended so that users can more easily access this tool and also aims to make it easier to manage the use of this tool. Based on the test results, the Arduino Due's DAC output has an average error of 0.647% with an accuracy of 99.353%. Testing the signal conditioning circuit has an average error of 0.218% with an accuracy of 99.782%. Testing the entire system has an average Vpp error of 0.340% with an accuracy of 99.660% and an average frequency error of 0.054% with an accuracy of 99.946%. Keywords: Function Generator, DAC, Op-Amp
RANCANG BANGUN SISTEM GREENHOUSE PADA MEDIA TANAM AEROPONIK DENGAN MENGGUNAKAN ARDUINO DAN SINGLE BOARD COMPUTER Arfian Nurfi Pangestu; n/a Nurussa’adah; Ponco Siwindarto
Jurnal Mahasiswa TEUB Vol. 11 No. 3 (2023)
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Aeroponics is a method of growing plants in a hanging root position and providing water and nutrients by misting the roots of the plants. In this research the authors designed a system that can condition the environment in a greenhouse using aeroponic growing media with parameters of air temperature, air humidity, and light intensity. In this design, the DS18B20 sensor is used as a temperature detector, the DHT11 sensor as a humidity detector, and the LDR sensor as a light intensity detector. The results of the DHT11 sensor test compared to the HTC-2 thermometer obtained an average error of 2.77%, the DS18B20 sensor test compared to the HTC-2 thermometer obtained an average error of 3.34%, the LDR sensor test compared to the AS803 luxmeter obtained errors that vary each test. The measurements results from the sensor will be processed by Arduino Uno and Single Board Computer to control the actuator connected to the relay. In this system to condition the environment, there are air temperature parameters controlled using a DC fan, air humidity controlled using a mistmaker and lighting controlled using an LED grow light. This environmental conditioning system is capable of lowering the temperature by 0.5°C with an average length of time of 2:18 minutes, increasing the air humidity by 5% RH with an average length of time of 4:20 minutes, and turning on the LED growlight when the light intensity is low. of 50lux according to the program. The automatic watering system in the form of mist uses an Arduino Uno timer with a water pump and a 0.3mm nozzle. From the results of sensor testing and the results of testing the environmental conditioning system, it shows that the designed system can work well according to the expected design. Keywords: Aeroponics, greenhouse, lighting, temperature, humidity, watering
IMPLEMENTASI SISTEM MONITORING DAN KLASIFIKASI KONDISI LINGKUNGAN UNTUK BUDIDAYA TANAMAN AEROPONIK BERBASIS INTERNET OF THINGS Ichsan Harun Wicaksono; n/a Nurussa’adah; Ponco Siwindarto
Jurnal Mahasiswa TEUB Vol. 11 No. 4 (2023)
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Aeroponics is a cultivation method that involves suspending plant roots in the air. Aeroponic cultivation poses several challenges, such as maintaining optimal environmental conditions. In this research, the author designed an internet of things (IoT)-based automated environmental control system by implementing machine learning classification methods. The aim was to optimize the control function of environmental conditioning in aeroponic systems. The system was designed using an Arduino Uno microcontroller connected serially to a Raspberry Pi and connected to the Adafruit Io web platform via the MQTT communication protocol over the internet. In the classification system testing, the initial dataset underwent oversampling using the SMOTE method. The evaluation results showed that the K-Nearest Neighbors algorithm achieved an accuracy of 96,47% in classifying environmental conditions, while the Random Forest algorithm achieved an accuracy of 100%. Both algorithms successfully classified the aeroponic environmental conditions. In terms of the monitoring system, the system was able to send monitoring data to a web-based dashboard with a delay ranging from 0.091 seconds to 0.0142 seconds. Keywords: Aeroponic, Internet of Things (IoT), classification algorithm, KNN, Random Forest
RANCANG BANGUN PROTOTYPE SISTEM OTOMATISASI PENGATURAN AIR TANDON BERBASIS LORA DI PERUMAHAN GIRI PALMA Muhammad Keanoudjie; Ponco Siwindarto; Rini Nur Hasanah
Jurnal Mahasiswa TEUB Vol. 11 No. 5 (2023)
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Efisiensi energi merupakan fokus utama dalam menghadapi perubahan iklim dan keberlanjutan lingkungan. Salah satu cara untuk mencapai efisiensi energi adalah dengan meningkatkan pengaturan air yang seringkali menjadi sumber pemborosan energi listrik. Penelitian ini berfokus pada sistem pengaturan air tandon di Perumahan Giri Palma. Sistem saat ini menggunakan pengaturan manual yang rentan terhadap kelalaian dan ketidaktepatan waktu operator, menyebabkan pemborosan energi listrik dan gangguan pada suplai air. Untuk mengatasi masalah ini, penulis merancang sebuah proyek prototype sistem otomatisasi pengaturan air tandon berbasis LoRa. Tujuan penelitian ini adalah menyajikan solusi untuk merancang sistem otomatisasi pengaturan air tandon berbasis LoRa dan mengevaluasi keefektifannya. Penggunaan mikrokontroler sebagai pengatur kerja komponen otomatisasi pada setiap tandon, serta teknologi LoRa sebagai pendukung komunikasi jarak jauh antar node digunakan dalam penelitian ini. Sensor ketersediaan air sumur dan sensor ketinggian air tandon ditempatkan untuk mengontrol kerja pompa. Setelah dilakukan implementasi dan pengujian, hasil penelitian menunjukkan bahwa prototype sistem otomatisasi mampu mengisi tandon dengan baik sesuai dengan spesifikasi yang ditetapkan. Hal ini menunjukkan bahwa sistem otomatisasi pengaturan air tandon berbasis LoRa dapat menjadi solusi efisien dalam penghematan energi listrik dan penyediaan air yang stabil di Perumahan Giri Palma. Kata kunci— Efisiensi energi, pengaturan air tandon, LoRa, mikrokontroler, sensor, otomatisasi.
RANCANG BANGUN SISTEM PENGUKURAN TINGGI TANAMAN SAYUR DAN SISTEM MONITORING PERTUMBUHAN TANAMAN MENGGUNAKAN METODE REGRESI POLINOMIAL Fadhlurrahman, Adam Farrel; Nurussa’adah, n/a; Siwindarto, Ponco
Jurnal Mahasiswa TEUB Vol. 12 No. 4 (2024)
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Plant height is an important indicator to show the performance of the media or agricultural land. Therefore, this research aims to realize an effective and efficient plant height measurement system for lettuce vegetable cultivation using ultrasonic sensors, and realize a growth monitoring system. The sensor measurement data is processed using the polynomial regression method to determine the plant growth graph. Ultrasonic sensor testing for plant height measurement shows the largest error value that occurs is 0.045%. The monitoring system test results show that all sensor data can be displayed on the TFT display and the measurement results are successfully stored in the Micro SD Card. Overall, the lettuce plant height measurement system using two ultrasonic sensors shows the results of the regression equation y = 0.0025x2 + 0.4976x - 1.5397 and y = -0.002x2 + 0.6246x - 2.4707. The polynomial regression equation is used to generate growth notifications displayed on the TFT display. With this system, it is expected to facilitate farmers in monitoring plant growth and decision making. Keywords— Plant Height Measurement, Monitoring System, Ultrasonic Sensor, Polynomial Regression.
Co-Authors Abbyunda Yudha Pratama Abdul Harits Muzakki A. Adharul Muttaqin Agung Handoko Agus Satrio Agwin Fahmi Fahanani Ahmad M. Fariz P. Ahmad Nurdin Islam Ahmad Sirojuddin Aidil Fikri Islamy Akroma Ardi Aldian Ferdiansyah Mahendra Alvi Kusuma Wijaya Ana Bella Dianisma Anas Setiawan Anggriawan, Aldo Redicka Arfian Nurfi Pangestu Arief Prakoso Arnas Elmiawan Akbar Ashar Seppiawan N Awalludin, Nur Azzam Rasyiq El-Faraby Bagas Priyo Hadi Wibowo Bambang Siswojo Bambang Siswojo Bayu Satya Nugraha Tri S. Bill Jason Bono Badar Nugraha Brian Reza Kawalta Tarigan S. Dafid, Ach Dian Widyaningtyas Dwi Aryo Porbadi Dwi Utari Surya Eko Saifulloh Noor Enggar Kabisafira Prawimuliasta Eritha, Fadila Norasarin Erni Yudaningtyas Eryc Tri Juni S. Fadhlurrahman, Adam Farrel Fadila Norasarin Eritha Faizah, Lina Nur Fauzzi Izzul Haq Ferdy Darmawan Saputra Fifo Sidherial Firmansyah Adhitya G. B. Fredy Christiawan Gloria Lisa H. Hari Wahyudiono Hendry Rama Sethiawan Ibrahim Hasan Ichsan Harun Wicaksono Ihsan Ahmad Badrianto Ika Kustanti Ikhwan Fajri Asri Indyanto Gadang Alfaruki Jayadhi Wenardo Rusli Juli Arianes Lalu Arya Taruna Jaya Lovinardo Devharo M. Aswin M. Aswin M. Aswin M. Julius St. M. Rasjad Indra M. Rasyad Indra Made Putera Wiguna Maulana, Eka Mochamad Umar Mochammad Al Faridzi Mochammad Mufti Nurmukhlis Moh Uhida Subhan Muchammad Rizal Pahlevi Mudeng, V Vicky Vendy H. Mudjirahardjo, Panca Muhammad Azril Muttaqin Muhammad Fatahilla Muhammad Fauzan Edy Purnomo Muhammad Furqan Rabbani Arfha Muhammad Haekal Muhammad Ilmi Musyaffa' Muhammad Julius St. Muhammad Keanoudjie Muhammad Kholifa Bihaque Muhammad Luthfi Ardyansyah Muhammad Setyo Hadi Juwono Muhammad Yogi Nurrohman n/a Fatahillah n/a Muhiroh n/a Nurussa’adah n/a Nurussa’adah n/a Wijono Nanang Sulistiyanto Nizar Sodiq Notario Pramudita Nurus Sa'adah Nurussa'adah, n/a Nurussa’adah, n/a Onny Setyawati Prasetya, Muchamad Alec Raden Arief Setyawan Rahmadwati, n/a Rahmat Ananta Rif'an, Mochammad Rini Nur Hasanah Rivan Rerizki Putera Rizki Firmansyah Rusli, Rayven Hanjaya Rusmi Ambarwati Setiawan, Bagus Ilyas Siswojo, Bambang Soraya Norma Mustika Stefanus Christian Tika Puri Ardianti Tunggul Widyamurti Utomo, Arie Cahyo Vita Nurdinawati Vrisco Yonatan Wahyu Suwito Waru Djuriatno Yerico Nathane Damanik Yuda Irawan Zainul Abidin Zainul Abidin Zainuri, Akhmad Zuhal Azmiy Dwi Rachman