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RANCANG BANGUN ALAT PENDETEKSI GLUKOSA DENGAN METODE NON-INVASIVE BERBASIS MACHINE LEARNING MENGGUNAKAN SENSOR GSR (GALVANIC SKIN RESISTANCE) Afini, M. Dwi Nur; Nurussa’adah, n/a; Purnomowati, Endah Budi
Jurnal Mahasiswa TEUB Vol. 12 No. 1 (2024)
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Abstract

Stroke is a sudden onset of neurological disorders, either focal or global, associated with cerebral circulation disorders. Strokes typically last more than 24 hours and can result in death without a known cause. It is a disease in which blood flow to the brain is obstructed, preventing the supply of oxygen and nutrients and the removal of waste products. This leads to rapid death of brain cells. The success of stroke management is highly dependent on time. Providing prompt first aid yields better clinical outcomes. However, monitoring body conditions is often neglected, and non-invasive tools for measuring blood sugar levels are lacking, which can be traumatic for users. From an economic standpoint, checking blood sugar levels is considered costly. To address these issues, technology is needed to non-invasively and regularly monitor the condition of stroke patients. The technology canprimarily monitor one of the risk factors for stroke, namely blood sugar, using a Galvanic Skin Resistance (GSR) sensor. The sensor classifies the patient's condition and provides education on reducing these risk factors. The tool's function has been tested by comparing the results of laboratory measurements, which showed an accuracy rate of 96.49% for blood sugar levels. During the testing of the monitoring application supported by the ANFIS system, the classification results of the user's condition were obtained with 100% accuracy. The testing was conducted on five patients who had high risk factors for stroke. Keywords: Stroke, Photoplethysmograph, Monitoring Application, ANFIS, Therapy.
RANCANG BANGUN SISTEM MONITORING SUHU AIR, KETINGGIAN AIR, DAN KADAR TDS LARUTAN NUTRISI PADA TANGKI HIDROPONIK BERBASIS INTERNET OF THINGS Saputra, Andhika Rahmat; Maulana, Eka; Nurussa’adah, n/a
Jurnal Mahasiswa TEUB Vol. 12 No. 2 (2024)
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Hydroponic cultivation is a cultivation technique that utilizes water as a growing medium. The advantages of hydroponic techniques include a low possibility of pest attacks, efficient land use, soilless plant growth, increased quantity and quality of production, and better cleanliness compared to conventional agriculture. In hydroponic cultivation, important aspects to be considered are the availability of water, water temperature, and the Total Dissolved Solids (TDS) level in the nutrient solution flowing through the plant roots. In practice, manual monitoring of water availability, water temperature, and TDS levels in the nutrient solution in hydroponic tanks becomes an issue for farmers at Happy Tani farm. Manual data monitoring leads to irregular data recording, hindering the maximization of hydroponic system productivity. To address this issue, a study was conducted to design an Internet of Things-based monitoring system capable of detecting water temperature, water level, and TDS levels in hydroponic tanks. This system involves DS18B20 sensors for detecting water temperature, Ultrasonic AJ-SR04M sensors for detecting water level, and DFRobot Gravity TDS sensors for detecting TDS levels in the nutrient solution. The system can provide real-time measurement data and tank condition alerts to farmers through an Android application or website connected to the internet. The system also features datalogging on a Google Spreadsheet website for storing measurement data at regular intervals. The research involved system design, sensor testing, TDS level measurement, data transmission, and hydroponic tank condition alert systems. The results of this research indicate that the designed system is capable of transmitting data to the application and website, providing tank condition alerts, and accurate data measurement with error rates for DS18B20 sensors at 0.69%, Ultrasonic AJ-SR04M sensors at 0.5%, DFRobot Gravity TDS sensors for EC at 3.16%, and TDS at 3.37%. Keywords: hydroponic, monitoring, water temperature, water level, total dissolved solids, Internet of Things
RANCANG BANGUN SISTEM PENGENDALI SUHU, pH AIR DAN NUTRISI MENGGUNAKAN METODE FUZZY MAMDANI PADA TANAMAN HIDROPONIK PAKCOY Bahtiar, Zuhrinada Alvin; Nurussa’adah, n/a; Nusantoro, Goegoes Dwi
Jurnal Mahasiswa TEUB Vol. 12 No. 2 (2024)
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Hydroponics is a cultivation system for plants that does not involve soil as a growing medium but rather utilizes alternative substrates such as perlite, vermiculite, gravel, sand, rice husks, and cocopeat, along with nutrient-rich water containing sufficient oxygen. One advantage of hydroponic techniques over soil-based agriculture is the relatively easier identification and monitoring of nutrient conditions. Unlike soil-based farming, which presents challenges in identifying soil types and their nutrient content, hydroponics offers a more straightforward approach. In the hydroponic cultivation of pakcoy, water quality stands as the primary parameter. To achieve optimal results, water conditions must maintain suitable temperatures, pH levels, and nutrient concentrations under the requirements for pakcoy growth. Designing a control system using the Mamdani fuzzy method will be implemented to regulate temperature, water pH, and nutrient concentration according to growth requirements to maintain water quality in pakcoy hydroponics. From the research findings, the device is capable of controlling water temperature in the hydroponic reservoir according to the desired setpoint membership function, ranging from 15°C to 30°C, with an average steady-state error of 2.16%. The device can regulate water pH according to the setpoint range of pH 5-7, with an average steady-state error of 2.6%. For nutrient concentration control, the device achieves the setpoint range of 1000-1200 ppm, with an average steady-state error of 1.15%. This study demonstrates that the Mamdani fuzzy logic-based control system for temperature, water pH, and nutrient concentration can enhance the growth of pakcoy hydroponics plants. Keywords: Hydroponics, Pakcoy, Water pH, Temperature, Nutrition, Fuzzy logic Mamdani
RANCANG BANGUN PROTOTIPE STUN-GUN DENGAN FITUR GPS SEBAGAI ALAT PERLINDUNGAN DIRI Putra, Repson Sandy; Nurussa’adah, n/a; Zainuri, Akhmad
Jurnal Mahasiswa TEUB Vol. 12 No. 3 (2024)
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Crime has become a problem that will always be a threat to the sustainability of human life. Some examples of crimes that often occur are crimes that involve physical contact between the perpetrator and the victim, such as: kidnapping, robbery, extortion, harassment, and rape. Based on the Ministry of Women's Empowerment and Child Protection, data on violence reported until October 2023 contained 23,397 cases, of which 88% of the victims were women and 38.3% were still students. Therefore, a personal protective equipment is needed for victims of these crimes. This study aims to design a stun gun prototype that can send warning messages. The high-voltage generator module is used to produce high-voltage electrical penetration, the GPS module as a receiver module in obtaining location data, the Ngarduino.com platform as a third party in sending messages, and the ESP8266 microcontroller as a data processor and initiator for sending messages. The test results show that the high voltage generator module can produce a voltage of 13.07 kV and a current of 0.53 mA, the GPS module is able to obtain location data in under 3 minutes, the average measurement error is 7.48 meters, the average precision is 1.73 meters and the accuracy is 95.25%, and the prototype successfully sends warning messages and location addresses via the Ngarduino.com platform with a delay of 5 seconds until the message arrives. Overall, this study has succeeded in designing a stun-gun prototype tool that can send warning messages via the WhatsApp application. Keywords— Stun-gun, High Voltage, GPS, Message Sending.
RANCANG BANGUN SISTEM MONITORING PRODUKSI MADU DAN HASIL SAMPING PADA FLOW-HIVE SYSTEM BERBASIS INTERNET OF THINGS Naudy, Ayliefia Ramadhan; Nurussa’adah, n/a; Razak, Angger Abdul
Jurnal Mahasiswa TEUB Vol. 12 No. 3 (2024)
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Honey is a non-wood forest product derived from bees, with Indonesian honey production in 2022 reaching 189,780 litersannually, while the demand ranges from 5,000 to 15,000 tons per year based on a per capita consumption of 30 g/year. A primar y issue in conventional beekeeping is the alteration in honey quality due to contamination during post-harvest extraction processes. Beekeepers require an effective and flexible solution to address this problem. The Flow-Hive system, an Australian innovation, utilizes partial split cell technology with artificial combs, significantly differing in yield compared to conventional methods. Annually, conventional honey production yields an estimated net profit of 1,649.08 USD. The integration of IoT technology in the Flow-Hive system enhances monitoring efficiency and reduces bee stress by minimizing human contact. The IoT-based Flow-Hive monitoring system via smartphone includes honey weight measurement using a Load Cell HX711 sensor (up to 5 kg) with an accuracy of 99.8%, and by-product volume measurement using an ultrasonic HC SR04 sensor with an accuracy of 98.71%. The ESP32 microcontroller processes sensor data for display on an LCD and transmits it to the Blynk application, enabling real-time monitoring and data collection with 100% accuracy. Linear regression analysis indicated that honey production reached 3 kg on day 550, and by-product production peaked on day 9, with prediction accuracies of 99.90% and 90.11%, respectively. Keywords: Flow-hive system, Monitoring, Sensor, Honey, and Internet of Things
PERANCANGAN HYBRID SOLAR HOME SYSTEM MENGGUNAKAN GRID TIE INVERTER Pratama, Renaldi Putra; Zainuri, Akhmad; Nurussa’adah, n/a
Jurnal Mahasiswa TEUB Vol. 12 No. 4 (2024)
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Energy is a basic necessity for society in any country, including Indonesia. The rapid population growth in Indonesia has led to an increase in energy usage across various sectors such as agriculture, education, healthcare, transportation, and the economy. The reliance on non-renewable energy is becoming increasingly concerning, necessitating the utilization of renewable energy sources. One of the solutions that can be adopted is the Solar Power Plant or Solar Home System (SHS). This study designs an Automatic Transfer Switch (ATS) for switching between two power sources, PLN and Grid Tie Inverter (GTI), and designs a circuit to enablethe GTI to operate without being connected to the PLN grid. The SHS circuit using a GTI consists of an ATS and a trigger inverter or low-frequency inverter. The ATS uses two DPDT relays with a current capacity of 10A controlled by an Arduino Nano, equipped with a voltage detector, a zero crossing detector, and current and voltage modules. The low-frequency inverter uses a MOSFET switching circuit, a step-up transformer, and a voltage feedback circuit. The results of the study show that when the trigger inverter is active, the GTI is also active, indicated by a green light on the GTI. The switch from PLN to GTI occurs without delay andwithout waveform differences in the load, although there is a slight, insignificant voltage drop with a time interval of 61ms. This study successfully demonstrates that the ATS and GTI system can function as designed to support the availability of renewable energy in Indonesia. Keywords: SHS, Solar power plant, ATS, GTI.
RANCANG BANGUN PROTOTYPE SISTEM MONITORING PENGATURAN SUHU DAN KELEMBAPAN PADA BANGUNAN RUMAH WALET BERBASIS IOT Sidabutar, Aprillius Mawendra; Nurussa’adah, n/a; Asmungi, Gaguk
Jurnal Mahasiswa TEUB Vol. 12 No. 4 (2024)
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The walet is a species of bird that provides many health benefits through its nest made of saliva, such as accelerating cellregeneration, strengthening the immune system, and aiding the digestive system. The high selling price of the bird's nest hasprompted many people to cultivate it. Temperature and humidity are important factors in walet cultivation, with the optimaltemperature ranging between 26-29°C and humidity between 80-95%. Bojonegoro district, East Java, is famous for its oil drillingactivity that increases temperature and lowers environmental humidity, making it unsuitable for walet cultivation. Therefore, there is a need for a monitoring system capable of maintaining the temperature and humidity of the walet house at ideal levels. This monitoring system works automatically without human intervention, saving time and effort. The objective of this research is to design and build a prototype temperature and humidity monitoring system based on the Internet of Things (IoT) for walet houses in Bojonegoro District. It is expected that the implementation of this system can significantly improve the quality and quantity of walet nests. Keywords: walet cultivation, temperature and humidity monitoring, Internet of Things (IoT), automatic system.
RANCANG BANGUN SMART WATCH PENGUKUR DENYUT NADI, TEKANAN DARAH DAN OXYMETER NONINVASIVE DENGAN SELECTIVE WAVELENGTH SENSOR BERBASIS IOT Prabowo, Muhamad Romadhani; Nurussa’adah, n/a; Hasanah, Rini Nur
Jurnal Mahasiswa TEUB Vol. 12 No. 4 (2024)
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Stroke is a focal or global neurological disorder that occurs acutely and is related to cerebral circulation disturbances. It occurs when blood cannot reach the brain to supply oxygen and nutrients and to remove waste products, which can lead to brain cell death. Stroke recurrence can be prevented by controlling risk factors such as hypertension, heart disease, and diabetes mellitus. More than 50% of stroke cases are related to hypertension, while 1 in 4 cases are related to high levels of bad cholesterol (Low-Density Lipoprotein/LDL). The aim of this research is to design a wireless sensor system that can measure heart rate, oxygen level, and blood pressure non-invasively, which can be integrated with a microcontroller for transmission to monitoring devices.Photoplethysmography (PPG), as a non-invasive tool for monitoring various cardiovascular parameters, has become popular due to its easy integration with wearable devices and its uniform properties. This research proposes the development of an advanced PPG sensor design using three LED light variants as a light source with fixed wavelengths. The proposed sensor will be integrated with a smartwatch capable of operating in the Internet of Things (IoT) network, creating a more holistic and digitally connected monitoring system. From the testing results of the PPG sensor on the noninvasive smartwatch for measuring heart rate, bloodpressure, and oximeter with selective wavelength sensor based on IoT, the accuracy level of blood pressure readings was found to be 99.8%, heart rate 99.48%, and oxygen levels 99.96%. Testing was performed by comparing the reading data with reference data from commercial sphygmomanometers and oximeters. The smartwatch uses Bluetooth Low Energy communication protocol tocommunicate with Android device applications. The received data is processed and stored in Firebase Cloud Storage. Users can monitor reading history and predict the risk of ischemic stroke. Keywords: Photoplethysmography, Stroke, Internet of Things, MAX30105, ESP32
RANCANG BANGUN SISTEM MONITORING KADAR BIOETANOL PADA ALAT PEMURNIAN BIOETANOL TERINTEGRASI CYBER-PHYSICAL SYSTEM Pasaribu, Dimpos Fransiskus Xaverius; Nurussa’adah, n/a; Setyawati, Onny
Jurnal Mahasiswa TEUB Vol. 12 No. 4 (2024)
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Currently, the Indonesian government is promoting the development of renewable energy sources as an alternative to etroleum-based fuels. This effort is reflected in Presidential Regulation No. 40 of 2023, which governs policies on the provision of bioethanol as a biofuel. However, not all bioethanol can be used as fuel; only bioethanol with a concentration above 99%, known as fuelgrade, can be utilized. Due to this problem, there is a need to design and build a device capable of purifying regular bioethanol to achieve fuel-grade concentration, equipped with a monitoring system. This monitoring system is implemented to facilitate the testing and analysis of the purification process. The device uses the pervaporation method for purification, utilizing zeolite nanoparticle membranes as the purification medium. The device is equipped with an MQ3 ethanol sensor as the main component of the monitoring system. To enhance monitoring capabilities, the device is also integrated with a Cyber-Physical System. Thisintegration uses the ESP32 microcontroller to transmit data from the purification device to an Android application and an LCD monitor. This provides ease for researchers in directly monitoring the results of the purified bioethanol. From the research and analysis results, it was found that the Bioethanol Purification Monitoring System provided ethanol concentration readings with an average error of ±4% and an accuracy level of ±95%. The performance of the Cyber-Physical System built can transmit readingsfrom the MQ3 sensor to the LCD monitor both via cable and wirelessly using the Bluetooth protocol controlled by the ESP32. Data can be transmitted continuously over a long period without significant interference. The purification system built can purify ethanol from a 70% concentration to 99% with two purification cycles. The first purification cycle produced ethanol with an 84% concentration (a 14% increase), and the second cycle produced ethanol with a 99% concentration (a 15% increase). Keywords: Bioethanol, Monitoring System, CyberPhysical System, MQ3, ESP32
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.