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Journal of Applied Information, Communication and Technology (JAICT)
Published by Politeknik Negeri Semarang
ISSN : 25416340     EISSN : 25416359     DOI : https://doi.org/10.32497/jaict
Core Subject : Engineering,
Engineering
Focus of JAICT: Journal of Applied Information and Communication Technologies is published twice per year and is committed to publishing high-quality articles that advance the practical applications of communication and information technologies. JAICT scope covers all aspects of theory, application and design of communication and information technologies, including (but not limited): Communication and Information Theory. Mobile and Wireless Communication, Cognitive Radio Networks. Ad Hoc, Mesh, Wireless Sensor Network, Distributed System and cloud computing Computer networking and IoT Optimization Algorithms, Artificial intelligence, Machine Learning, and Adaptive System.
Arjuna Subject : Teknik (semua kategori) - Teknik Listrik dan Elektro
Articles 95 Documents
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Implementation Of IoT In Nila Fish Cultivation With Bioflock System Wasito, Endro; Prahara, Tahan; Nursyahid, Arif; ., Dadi; Anggraeni K., Sri
JAICT Vol. 9 No. 1 (2024)
Publisher : Politeknik Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32497/jaict.v9i1.5309

Abstract

In cultivating tilapia using the biofloc system, maintaining water quality (temperature, pH, turbidity) is not only for the health of the fish but also for the reproduction of the biofloc. So that water quality is known, sensors connected to IoT are installed. Sensor output data is processed by Arduino and sent to a data base server via the internet network so that water quality parameters can be monitored at any time via the internet network. This system was created in research entitled "Optimizing Tilapia Cultivation of Biofloc Systems with the Internet of Things". The pool has a diameter of 2m, height 1m, airator 500 liters/min, 4 airstones @ 30 liters/min. After the pond is assembled and the biofloc has grown (made from 375 ml multi-probiotic, 300 ml molasses, 150 gram dolomite, 60 gram nitrobacter), proceed with adding 150 tilapia fish seeds 5-6 cm long (weight 22.2 gr/fish). After 2 months the growth of the tilapia became 12-13 cm long (weighing 100 g/fish), with 2% mortality. The sensor measurement results displayed on the website are as follows: average pH values (5.6-7.5), temperature (27-29), turbidity (225-354) ppm, floc density (20-25) ml/liter. Hiprofit 781-3 feed is 13.4 kg. The research results show that IoT implementation can display the water quality of biofloc tilapia ponds in real time. pH fluctuations from 5.6-7.5 indicate that biofloc can function well.
Implementation Control And Monitoring System Water Quality of Koi Fish Ponds Based On the Internet Of Things Enriko, I Ketut Agung
JAICT Vol. 9 No. 1 (2024)
Publisher : Politeknik Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32497/jaict.v9i1.5379

Abstract

Koi fish is one of the ornamental fish that is in great demand and has a fairly high price. Water quality plays an important role in the success of keeping koi fish. The quality of koi fish water must be at an ideal temperature of 25-30 °C and an acidity level or pH of 7-8 pH. The level of salt contained in water for koi fish must also be considered. A pond with a size of 200 x 50 x 100 cm requires a salt content of 1 to 2 ppm. Giving this salt is done to prevent the growth of bacteria in the koi pond which can come at any time. Ignorance of pond owners about the value and condition of water quality can disrupt the health of koi fish which can cause death. Based on these problems, the authors created a water quality control and monitoring system in koi fish ponds. The system created consists of a pH sensor, temperature sensor, and salinity sensor, and uses the Message Queuing Telemetry Transport (MQTT) protocol. The process of sending data to the IoT platform using a WiFi network. Based on the temperature sensor test, there is an average error of 1.4% with a sensor accuracy level of 98.6%. Testing the pH sensor and salinity sensor using the linear regression method. As for the pH sensor, the average error is 2% with an accuracy rate of 98%. The results of the salinity sensor test obtained an average error value of 7.6% with an accuracy rate of 92.3%. Then in the MQTT protocol, the parameters for delay and jitter have a bad category, while throughput has a moderate category, and packet loss has a very good category according to the TIPHON standard.  
Pomelo Orange Desease Detection Using CNN Based on Digital Image Processing Shaleh, Thariq Muhammad
JAICT Vol. 9 No. 1 (2024)
Publisher : Politeknik Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32497/jaict.v9i1.5321

Abstract

Pomelo is one of the important fruits in the agricultural industry and has high commercial value. However, pomelos are susceptible to disease. Detecting diseases in pomelos is crucial for maintaining the quality and quantity of production. However, disease symptoms in pomelos are often complex and difficult to accurately detect through human visual observation. Therefore, image processing is a solution for detecting diseases in pomelos. Convolutional Neural Network (CNN) is a type of artificial neural network architecture that is highly effective in analyzing and predicting diseases. In this study, a model is designed and built to detect and classify diseases in pomelos based on their skin. The study uses a dataset obtained from self-documentation using a digital camera, which includes images of Diplodia/Blondok, Cancer, Fruit Fly, and healthy pomelos. In the preprocessing stage, the dataset is divided into training, validation, and testing data. Feature extraction is also performed using thresholding, contour detection, and bounding boxes. During the model processing stage, a model is created using training data, validation data, hyperparameters, and transfer learning. The results of the study show that the DensNet121 model achieved an accuracy of 92%.
Prototype Implementation of Exhaust Fan Control Using Mamdani Fuzzy Logic to Minimize LPG Concentration Hanafi, Mohamad Rizal; Adjhi, Dhimaz Purnama; Adiwilaga, Anugrah
JAICT Vol. 9 No. 1 (2024)
Publisher : Politeknik Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32497/jaict.v9i1.5300

Abstract

This research aims to design and build a prototype of LPG gas leak detection system using fuzzy logic Mamdani method based on ESP32 with MQ-2 and DHT11 sensors as input and exhaust fan as output or action taken to prevent gas concentration. This research methodology includes literature study, identification and analysis, data collection, design implementation, software and hardware testing, and experiments to verify system performance. The results show that the system can detect LPG leaks and then provide preventive action by adjusting the speed and turning on the exhaust fan. This research is a prototype LPG gas leak detection system using fuzzy logic can be a solution to prevent hazards due to leaking gas. The contribution of this research is to provide alternative data processing methods that can improve the performance of gas sensors and provide responses that are in accordance with environmental conditions.
Design and Development of a Monitoring and Controlling System for Automatic Watering and Filling in Fungi House's Internet of Things-Based Mushroom Cultivation Supriyanto, Eko; Rochmatika, Rizkha Ajeng; Oktaviani, Cantika Cakhya; Luqita, Syauqi Fajar; Hasan, Abu; Bramantyo, Hutama Arif; Yudantoro, Tri Raharjo
JAICT Vol. 9 No. 2 (2024)
Publisher : Politeknik Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32497/jaict.v9i2.5921

Abstract

Temperature and humidity are aspects that need to be considered in cultivating oyster mushrooms. Previously, Fungi House in Genting Village, Semarang, implemented an automatic temperature, humidity, and watering monitoring system, but manually filled the water. This new system's design and development aim to simplify the monitoring and control of temperature, humidity, and water level for managers. Managers determined temperature, humidity, and water level thresholds via the web page. This system used the agile scrum method. The test results showed that the temperature measurement accuracy was 96.85%, humidity 99.35%, and water level 98.99%. With this system, the quality of baglog (mushroom growing medium) increased by 4.62%, while dead baglog decreased by 99.01%. Black box testing demonstrates that all features perform well in web testing. In the load activity test, with low bandwidth (6.71 Mbps), the average load time was 1.32 seconds, and with high bandwidth (37.15 Mbps), it was 0.878 seconds. These two conditions indicate excellent system performance and provide optimal user experience.
Digital Flood Control Model as a Digital Practical Learning Module widodo, sarono; Wasito, Endro; Anggraeni, Sri; Prahara, Tahan; Yulianto, Taufiq
JAICT Vol. 10 No. 1 (2025)
Publisher : Politeknik Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32497/jaict.v10i1.6175

Abstract

Abstract”” Teaching aids are one of the learning media that can be used in the learning process in the classroom or laboratory. The purpose of this media is to facilitate the understanding of the material being studied. In laboratory learning, in addition to practical modules, the development of teaching aids is needed as a case study for solving problems in the field. The teaching aid being researched is a learning module as the development of digital engineering practicals in the laboratory, specifically a digital flood control module. The module designed and created aims to teach how a flood control process can be created using digital circuits, thereby providing insights and understanding to students about the control process. The controller module reads the water level sensors set at high and low levels. When the water touches the high-level water sensor, the control output activates the relay to turn on the pump, so the water in a specific location is pumped elsewhere. When the control system reads the low-level sensor, the output deactivates the relay and the pump stops working. The water level sensor is set at a distance of 10 cm between the lower and upper limits. The volume of water pumped is 0.006 m3 or 6 liters in 30 seconds using a 12v DC water pump with a power of 25 watts.      
Classification System of Crystal Guava (Psidium Guajava) Using Convolutional Neural Network And Rectrified Linear Unit Method Based on Android Wiktasari, Wiktasari; Yudantoro, Tri Raharjo; Alifiansyah, Muhammad Fikry; Kurnianingsih, Kurnianingsih; Triyono, Liliek; Hasan, Abu
JAICT Vol. 10 No. 1 (2025)
Publisher : Politeknik Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32497/jaict.v10i1.6170

Abstract

These instructions Abstract - However, determining the ripeness of fruit is frequently done by hand, which presents problems with consistency and efficiency. In order to improve the sorting of crystal guava fruit maturity, this study suggests combining machine learning technology with the creation of digital image-based apps. Fruit ripeness is classified using a convolutional neural network (CNN), a deep learning model, based on the color of its skin. It is anticipated that the method will increase productivity and offer superior precision while sorting crystal guava fruit. The System Development Life Cycle (SDLC) with a Waterfall approach is the methodology employed. The system design formed from the deep learning model resulted in excellent performance in classifying images of crystal guava fruit by utilizing model training from the base models ResNet50V2, DenseNet121, NASNetMobile, and MobileNetV2 with a combination of training using K-fold cross-validation with a 5-fold configuration. The best-trained model achieved an average highest accuracy of 99.92% in model training using MobileNetV2 with the lowest average loss value of 0.0088. The system application was developed using mobile Android, leveraging the Flutter framework and Dart programming language. The research results demonstrate a comparison of testing on crystal guava and local guava fruits against ripeness classification parameters
Design of PID Controller Module Using PLC On 3 Phase Motor Kartika, Vinda Setya; Sayekti, Ilham; Pramuji, Tulus; Rizal, Aminuddin; Handoko, Slamet
JAICT Vol. 10 No. 1 (2025)
Publisher : Politeknik Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32497/jaict.v10i1.6272

Abstract

Proportional Integral Derivative (PID) is a control system that combines proportional, integral, and derivative elements. PID control is often used in industrial machines. One of these machines is a 3-phase motor. Another important component in the industrial world is the Programmable Logic Controller (PLC) which is usually paired with an interface tool, namely HMI. The importance of a deep understanding of PID, PLC, HMI, and 3-phase motors is very important for students to be better prepared to face the real world of work. The application of the PID controller module using PLC as a learning tool at the Semarang State Polytechnic is still lacking, one of the reasons being the availability of PID controller modules that are inadequate. This study aims to design a PID controller module using PLC on a 3-phase motor. The creation of this practical module uses Omron HMI as a monitor in controlling 3-phase motor movements. Push buttons and switches are used as input components. Omron CP1E PLC is used as a processing component according to motor movement. The encoder is used to read the motor speed with an output in the form of a square signal which will be the feedback input read by the PLC. The inverter is used as a 3-phase induction motor driver. Buzzer and lights are used as indicators in controlling 3-phase motors. 3-phase induction motors are the main output components in this PID system. The power supply is used as a voltage source for the PLC so that the power supply must always be connected to a 220 VAC source. MCB is used as a protection system on the module.
Transcending Technologies : Probing Trends and Developments in Telecommunication Systems, Dense Wavelength Division Multipexing (DWDM) for Transmission and Configurafion ”“ A Comprehensive Review and Research Agenda Mujahidin, Irfan
JAICT Vol. 10 No. 1 (2025)
Publisher : Politeknik Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32497/jaict.v10i1.5409

Abstract

Abstract -  In recent years, telecommunication systems have developed so rapidly that it has created a technology trend for transmission and configuration systems. In terms of transmission and configuration, the main trend is to increase network capacity and speed, one of which is with wireless technology. Among the various wireless technologies available, with long-range communication capabilities, increased bandwidth, increased speed, network efficiency, and cost effectiveness, Dense Wavelength Division Multiplexing (DWDM) has emerged as the most popular choice for various applications in transmission systems and configurations. This literature review aims to provide a comprehensive overview of the latest telecommunication system trends and developments in DWDM technology by reviewing existing research and identifying key challenges and opportunities for the research agenda. This review will contribute to advancing knowledge in the field of telecommunication systems especially transmission and configuration to meet the demands of evolving technologies.
Asymmetrical 3x1 Disk Patch Array with Rugby Ball Slot Microstrip Antenna for LoRa IoT B-OSA (Bidirectional Outdoor Sectoral Area) System Bramantyo, Hutama Arif; Mujahidin, Irfan; Kitagawa, Akio; Apriantoro, Roni; Rochmatika, Rizkha Ajeng; Waluyo, Catur Budi
JAICT Vol. 10 No. 1 (2025)
Publisher : Politeknik Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32497/jaict.v10i1.6593

Abstract

Using minimal transmission power, Long-Range Wide Area Networks (LoRaWAN) enable the transmission of data via radio connections from sensors, which may be remote or challenging to reach, to gateways and servers linked to mobile networks for data processing, exchange, or relay, so generating numerous applications for object monitoring and tracking. Nonetheless, owing to its attributes of low data rates for low-power communications, information transmission utilizing LoRa technology is inadequate for rapid real-time data monitoring. Moreover, the narrow bandwidth of LoRa modulation techniques will yield minimal accuracy in localization efforts, as it cannot effectively address multipath issues. This paper proposes a multi-standard 3X1 Antenna Array and a LoRa end device that accurately measures locations using 3X1 technology and transmits this location data to the gateway and Internet of Things Network via LoRa. Measurement outcomes in both indoor and outdoor environments indicate that Antenna Array 3X1 achieves localization accuracy at the sub-meter level, specifically between 10 and 33 cm. Furthermore, Antenna Array 3X1 demonstrates ranges of 124 m in Line-of-Sight (LOS) scenarios and 55 m in Non-Line-of-Sight (NLOS) scenarios, respectively.

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