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Journal : PROCEEDING IC-ITECHS 2014

Implementation Of The Iot Device For Sit-Up Counting Based On ESP 8266 Rifai, Jefri Andri; Styawati, Styawati; Wijaya, Rio
IC-ITECHS Vol 5 No 1 (2024): IC-ITECHS
Publisher : LPPM STIKI Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/ic-itechs.v5i1.1585

Abstract

Sit ups are a type of strength exercise that functions to strengthen muscles. Sit up movements are usually calculated manually, but as technology develops, it is necessary to innovate to build a digital technology-based sit up movement counting tool. The goal is to provide a sit up instrument that is able to accurately calculate the number of sit ups that have been done. The tool is made based on digital technology using the internet of things (IoT). In making this tool, the author uses 2 LDR sensor modules and 2 KY008 laser sensors installed to detect the shoulder. If one of the light sensors in the form of an LDR module is not disconnected from the light displayed by the laser sensor, then the series of sit up counting tools with this application will not calculate the sit up acquisition. The sit up counter tool will calculate if the sit up position is perfect and cut off the laser light, it will send the results of the sit up to the MySQL database which will later be displayed in the web server. This tool is easy to use and portable or easy to move. The way this tool works is quite easy, the user only needs to choose the type of exercise needed, then the tool will calculate the movements done and the user just needs to lie on the side of the tool and prepare to do the display according to the activity to be done. Then the tool will calculate automatically and will enter the website data.
Duck Egg Hatching Incubator Technology Based On Internet of Things Kurniawan, Medy Dwi; Styawati, Styawati; Hepri, Alfian
IC-ITECHS Vol 5 No 1 (2024): IC-ITECHS
Publisher : LPPM STIKI Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/ic-itechs.v5i1.1592

Abstract

The egg incubator was originally a simple tool using a lamp to produce heat without other supporting tools, So the incubation process has a big influence on traditional egg hatching through the mother duck incubating the eggs. However, temperature control at the time Incubation of eggs by the parent certainly has certain limitations due to the parent which is difficult to control in order to incubate it which ultimately causes the egg to suffer hatch failure. In the process of hatching duck eggs, you must pay attention to temperature and humidity and egg rotation which must be maintained regularly, is necessary continuous supervision and monitoring so that the eggs can hatch well. By utilizing applicable Internet of Things technology in the field of animal husbandry, it is a solution to monitor the condition of hatching duck eggs automatic and real-time, so it can help farmers in monitoring conditions such as temperature and humidity as well as the condition of the eggs in the hatching room. So A research was conducted entitled "Duck Egg Hatching Incubator Technology Internet of Things” was carried out with the aim of making things easier for breeders monitor temperature and humidity and monitor conditions inside real time drip space.
Implementation of IoT Technology for Optimization Shrimp Feeding in SMKN2 Kalianda Shrimp Ponds Febriyansyah, Akhmad Febriyo; Styawati, Styawati
IC-ITECHS Vol 5 No 1 (2024): IC-ITECHS
Publisher : LPPM STIKI Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/ic-itechs.v5i1.1593

Abstract

Shrimp farming in Indonesia, particularly at SMKN 2 Kalianda, faces inefficiencies in manual feeding methods, leading to wasted feed and suboptimal shrimp growth. This research proposes an IoT-based automatic shrimp feeding system designed to address these issues by automating the feeding process and integrating real-time water temperature monitoring. The system utilizes the NodeMCU ESP8266 microcontroller, servo motors for feed distribution, and a DS18B20 sensor for monitoring water temperature. Data is communicated via HTTP to a web application, providing real-time monitoring capabilities. The system was successfully tested at SMKN 2 Kalianda's shrimp pond, demonstrating efficient feed distribution, with distances of up to 1.5 meters. It also ensured timely and accurate feeding, reduced labor costs, and minimized feed wastage. Additionally, the system can be further enhanced by integrating data analytics and machine learning to optimize feeding schedules and water quality management. These advancements promise to improve shrimp farming efficiency, reduce human error, and contribute to sustainable aquaculture practices.
Iot-Based Iot-Based Smart Controller (Sponcer) To Optimize Freshwater Fish Production In Pagelaran, Pringsewu, Lampung Anggita, Rizki Devi; Styawati, Styawati
IC-ITECHS Vol 5 No 1 (2024): IC-ITECHS
Publisher : LPPM STIKI Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/ic-itechs.v5i1.1594

Abstract

An Internet of Things (IoT) based control system for optimal fish production in Pagelaran, Pringsewu, Lampung is a modern fish farming solution that uses IoT technology to automatically monitor and assess various fish environmental parameters. The system is equipped with various sensors that can measure critical parameters such as water level, pH, turbidity, and water temperature. This data is sent in real-time to a web-based application, allowing users to continuously monitor conditions remotely through devices connected to the internet. This helps maintain ideal fish environmental conditions for growth, reduces the risk of disease, and increases productivity. One of the striking features of this system is its automatic feed regulation capacity. With this system, feed is provided timely and accurately according to the needs of the fish, which is very important to ensure optimal growth. The purpose of developing an IoT-based system in Pagelaran, Pringsewu, Lampung is to increase productivity and fish production in the area. It is expected that with more careful monitoring and wiser feed handling, fish production can be increased in terms of both quantity and quality. In short, IoT-based system controllers not only improve operational efficiency but also reduce environmental damage. Farmers can reduce excessive resource use and lower operational costs by minimizing manual intervention and using technology for smarter pond management. It is expected that this system will become a model for more modern, efficient, and environmentally friendly fish farming practices, not only in Pagelaran, Pringsewu, Lampung but also in other areas.
Drip Irrigation Technology for Watermelon Crops with IoT-Based Solar Panels for Efficient Use of Energy Resources Azahra, Maulida; Styawati, Styawati
IC-ITECHS Vol 5 No 1 (2024): IC-ITECHS
Publisher : LPPM STIKI Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/ic-itechs.v5i1.1597

Abstract

Water scarcity and energy inefficiency are major challenges in modern agriculture, particularly for water-intensive crops like watermelon. This study aims to develop a sustainable solution by integrating drip irrigation technology with IoT-based solar panels to optimize water and energy use. The purpose of this research is to design and test a system that uses renewable solar energy and IoT sensors to monitor soil moisture and control irrigation automatically, providing an efficient and environmentally friendly solution for watermelon farming. The methodology involves the development of a prototype system powered by solar panels and equipped with IoT sensors for real-time data collection and system management. The findings demonstrate that the solar-powered IoT drip irrigation system significantly reduces water consumption and energy costs compared to conventional irrigation methods, ensuring efficient water use while operating off-grid. The practical implications of this study suggest that this integrated system can be scaled for large-scale farming operations, improving crop yields and contributing to sustainable agricultural practices. The results highlight the potential of combining renewable energy, IoT, and modern irrigation techniques as a viable solution to address global challenges of water conservation, energy efficiency, and sustainable farming.
Implementation of Fish and Plant Nutrition Technology On Aquaponic Systems Khoiri, Rizky Dafa; Styawati, Styawati; Afredha, Arya
IC-ITECHS Vol 5 No 1 (2024): IC-ITECHS
Publisher : LPPM STIKI Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/ic-itechs.v5i1.1684

Abstract

Catfish farming often faces challenges due to high stress levels in fish caused by instability in water pH and temperature, which disrupt metabolism, reduce appetite, and harm their health. This can lead to nutrient deficiencies for plants in aquaponic systems, causing ecological imbalances. Many farmers still rely on instinct to monitor pond conditions, making it difficult to detect changes in pH, temperature, and nutrient levels promptly, resulting in suboptimal water conditions and high fish mortality rates. To address this, a device equipped with sensors for real-time monitoring of pH, water temperature, and nutrient levels is necessary, helping farmers maintain ecological balance and reduce fish mortality. This research aims to ease catfish farming by integrating an automatic feeding system controlled by a servo and RTC and monitoring critical parameters like pH, temperature, and plant color through Thingspeak. Using the prototype method, the system was developed with ESP32, Arduino Microcontroller, pH sensor, DS18B20 temperature sensor, TCS3200 color sensor, buzzer, and servo. The aquaponics system design included scheduled nutrient supply for fish feed and an accurate feeding process activated at 12:00 PM, running the servo for 2 seconds with a buzzer alert. Testing confirmed the sensors’ ability to transmit data to Thingspeak and display it via LCD. However, the temperature sensor requires periodic calibration, as weather conditions significantly influence readings. During the rainy season, the lowest temperature recorded was 27.10°C, while the highest temperature during summer reached 29.32°C, demonstrating the system’s adaptability across seasons.