Journal of Informatics And Telecommunication Engineering
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373 research outputs found
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Android-based Detection of Melon Leaf Diseases Using Convolutional Neural Network and TensorFlow
Full text linkMelon productivity in Indonesia has experienced a significant decline due to leaf diseases, while manual detection performed by farmers remains subjective, time-consuming, and highly dependent on individual experience. To address this issue, this study aims to develop a mobile-based melon leaf disease detection system utilizing a Convolutional Neural Network (CNN) architecture integrated into the Tani Cerdas Android application via the TensorFlow framework. The dataset consists of 250 images of melon leaves categorized into five classes: healthy, aphids, fusarium wilt, leaf caterpillars, and unknown. Data were collected from two different melon farms employing distinct cultivation methods and processed through the machine learning life cycle, including data cleaning, manual labeling using one-hot encoding, splitting into 80% training and 20% validation sets, model training, and performance evaluation. The CNN model was trained for 11 epochs using ReLU and Softmax activation functions and a dropout rate of 0.2 to reduce the risk of overfitting. Training results achieved an accuracy of 91.5% with a loss value of 0.313, while model validation reached 71.9% accuracy. The ROC-AUC evaluation indicated excellent classification performance in most classes (AUC 0.99–1.00), although performance in the fusarium wilt class remained lower (AUC 0.87). Deployment of the model into the Tani Cerdas application achieved an average field accuracy of 86.33%. This study demonstrates the effectiveness of CNN and TensorFlow integration in supporting rapid and independent detection of melon leaf diseases via mobile devices, offering potential for the development of similar systems for other horticultural commodities
Development of an IoT-Controlled Automatic Air Fryer with Real-Time Monitoring via Blynk
Full text linkThe purpose of this study is to develop a prototype of an Internet of Things (IoT)-based automatic air fryer with a timer feature, which allows users to control and monitor the device remotely through the Blynk application. This system utilizes hot air circulation from heating elements and mechanical fans for the cooking process without using large amounts of oil. The methods used include hardware and software design, as well as testing the function of the ESP32-based control system. The main components in the system include a MAX6675 temperature sensor, an ESP32 microcontroller, a solid state relay (SSR), an MK2P relay, and the Blynk application as a user interface. The test results show that the system is able to automatically regulate the temperature and cooking time and provide a fast response via a Wi-Fi network. This study contributes to the development of an IoT-based control system for kitchen appliances, with a focus on the efficiency of remote control and monitoring. Evaluation of cooking quality is not the scope of this study and is recommended as an agenda for further study
Arm Robot 5-DOF using Matlab GUI Text Commands
Full text linkThis research explores the relationship between Matlab programming language and robot arm control through string or word commands. Experiments were conducted with various commands to move the robot arm in the desired direction. The implementation of this system was tested on a robot arm equipped with a unique gripper for grasping and moving test tubes. Experimental results show that the system can recognize GUI text commands with a high accuracy of 98% in providing direction/action to the test tube according to the instructions given. Thus, incorporating the robot arm control method through string or word commands in the development of this system contributes positively to the precision and responsiveness of the robot arm control system. This research opens up opportunities for further growth in robotics, especially in chemical laboratory applications, where manipulating sensitive materials requires highly accurate control. The successful use of string or word commands in controlling robots offers the potential for widespread implementation in various fields that need responsive and efficient human-machine interaction. This study contributes to the robotics and automation development literature, combining chemical robot technology and Matlab to improve robot controllability. The results show that Matlab with string/word commands can effectively control the robot ar
Experimental Study: Acceptance of Student Moral Developing Through Games Education with Expectation Confirmation Theory
Full text linkStudents' moral development is an important aspect of education, especially in the digital era, where media plays a significant role in the formation of moral values. Video games as interactive media have become a potential tool for developing ethical and moral decision-making abilities. Video games offer a simulated environment that allows students to confront complex moral dilemmas, which have previously been shown to hone critical thinking skills. This study explores the acceptance of video games as a tool for developing students' moral reasoning, using the Expectation Confirmation Theory (ECT), Technology Acceptance Model (TAM), and DeLone and McLean Information System Success Model (D&M). Involving 150 students, the study measured constructs such as perceived usefulness (PU), perceived ease of use (PEOU), information quality (IQ), system quality (SQ), user satisfaction (US), intention to use (IU), and user behavior (UB). Results from SEM analysis showed that while perceived usefulness and ease of use positively influenced intentions to use, actual user behavior did not always align with these intentions after confirmation. However, user satisfaction remained a strong predictor of continued engagement. This emphasize the need for better alignment between user expectations and experiences. These findings highlight the potential of video games in moral education and suggest avenues for improving their design and implementation to enhance educational outcome
Analysis of Student Satisfaction Levels with Computer Laboratory Services with a Fuzzy Service Quality Approach
Full text linkQuality of education provided Prof. University DR. Hazairin, SH Bengkulu, is a higher education institution that is committed to providing the best service to its students, including computer laboratory services. Computer laboratory services have an important role in supporting student learning and research, therefore, it is important to measure and analyze the level of student satisfaction with this service. In measuring the level of student satisfaction with computer laboratory services using the Fuzzy Service Quality approach method. This approach allows us to understand the complexity and diversity of students' views on service quality, which are often difficult to measure with conventional approaches. By using the Fuzzy Service Quality model, we can describe the level of student satisfaction more accurately, identify areas that need improvement, and increase the effectiveness and efficiency of computer laboratory services. Based on the research results, it was concluded that all aspects had a score above 3, which means student satisfaction with computer laboratory services has been met well. The highest score from all aspects is the cool and comfortable computer laboratory room and the lowest is 3.90 while the lowest is 2.77 for the Computer Laboratory service providing academic information and non-academic services in the form of a website (online). The reliability aspect (reliability of lecturers, and academic staff) has the highest reliable value of 0.916. Based on the results of Servqual and Logical Fuzzy data analysis, a high GAP value was found in students' perceptions and expectations regarding computer laboratory services providing academic information and non-academic services in the form of websites (online)
Performance Comparison Between Laravel and ExpressJs Framework Using Apache JMeter
Full text linkModern web application development requires selecting an optimal framework to ensure maximum efficiency and performance. This research compares two leading frameworks, Laravel (using PHP) and Express.js (using JavaScript), in the context of building RESTful APIs. The purpose of this research is to compare the performance of Laravel and Express.js through performance testing, with a focus on the API response to student data access in the MySQL database. The research method used is performance testing which involves realistic test scenarios and performance metrics such as response time. The research results provide a deep understanding of the performance advantages and disadvantages of Laravel and Express.js in API development. This research helps developers choose a framework that suits project needs, considering efficiency and speed in developing RESTful APIs. The test results show the superiority of the Laravel framework with an average response time of 1745.7 ms faster than Express.js. This Laravel is better suited for applications with high concurrent user access, while Express.js is a good choice for applications with a lower number of simulated users. Framework selection must consider both response speed and specific application needs and consider the specifications of the server used. The implication of this research can help developers optimize web application development, increase efficiency, and ensure maximum performance according to the project goal
4G Network Design and Performance Evaluation in Kroya, Cilacap: A Comparative Study of 700 MHz SU-MIMO and MU-MIMO
Full text linkPenelitian ini merancang jaringan 4G menggunakan frekuensi 700 Mhz dengan bandwidth 20 Mhz di kawasan Kroya, Cilacap seluas 31,636 km2. Model propagasi yang digunakan adalah Okumura-Hatta. Simulasi prediksi coverage menggunakan Software Atoll 3,4 yang menggunakan frekuensi 700 Mhz. didapatkan jumlah Base Tranceiver Station (BTS) sebanyak 25. Berdasarkan jumlah Base Tranceiver Station (BTS) tersebut, maka dilanjutkan dengan mensimulasikan dengan parameter-parameter penelitian yang telah ditentukan. Rata-rata tingkat sinyal (Coverage by Signal) pada SU-MIMO dan MU-MIMO didapatkan nilai sebesar -91,35 dBm dan -91,62 dBm. Rata-rata tingkat sinyal dan rata-rata kekuatan sinyal efektif pada Single-User Multiple Input Multiple Output (SU-MIMO) -123,8 dBm sedangkan pada Multiple Input Multiple Output (MU-MIMO) sebesar -120,71 dBm, rata-rata rasio C/(I+N) pada SU-MIMO sebesar 3,79 dB sedangkan pada MU-MIMO 3,28 dB tidak menunjukkan perbedaan yang signifikan. SU-MIMO mendukung throughput tinggi untuk satu pengguna yaitu sebesar 15,082 Kbps, sedangkan MU-MIMO menunjukkan stabilitas yang lebih baik dengan throughput yang lebih konsisten yaitu sebesar 13,638 Kbps
Enhanced Bandwidth Rectangular U-Slot Microstrip Antenna at 26 GHz for mmWave 5G
No full text5G wireless communication technology offers faster data transmission speeds, more stable connections, and greatercapacity and bandwidth compared to previous networks. However, more advanced antenna technology must bedeveloped to overcome propagation and bandwidth problems at mmWave frequencies. The antenna is the maincomponent of the 5G wireless communication system, which uses mmWave frequencies. The purpose of this research isto design a U-slot rectangular microstrip antenna to increase bandwidth at the 26 GHz frequency. The slot-U method onthe rectangular microstrip antenna patch is used to enhance bandwidth. To realize the research method, an antennawas designed without and with a U-slot using analytical calculations, then a simulation was carried out by comparingthe microstrip antenna designs with and without a U-slot, after which an evaluation of the performance of the antennaparameters was carried out. The simulation results show that the U-slot rectangular microstrip antenna design showsan increase in bandwidth, gain, and directivity of 119.14%, 42.66%, and 18.79%, respectively, compared to therectangular microstrip antenna without slots. The U-slot rectangular microstrip antenna design has succeeded inincreasing bandwidth and other performance parameters, so it can be recommended for mmWave 5G applications
EVALUATION OF STUDENTS' E-LEARNING LEARNING OUTCOMES USING THE COURSE COMPLETION METHOD
Full text linkThe current development of internet technology has changed the direction of the learning system at both elementary and tertiary levels by means of online, blended learning, and e-learning. This research aims to determine and analyze the learning outcomes of students using course completion during lectures using the eLearning method. The research subjects are Bina Darma University students. Data collection was carried out in this research through observation and taking primary data from the e-learning system. The instruments in this research include the independent variable (X), which is report completion, and the dependent variable (Y), which is elearning learning outcomes. The resulting research results are: 1. There is a positive influence from the activity task variable on the student learning outcome variable, which is known to be active in carrying out the tasks in e-learning. 2. There is a positive influence from the material variable on the student learning outcome variable, which is known to be active in opening the material. provided in e-learning. Multiple linear regression tests result from the course completion variable on student learning outcomes. It can be concluded that there is a positive influence on the learning outcomes of variable Y from variable X. Students can also share information or opinions on various matters relating to the subject matter or assignments given by the lecturer. Apart from that, lecturers can place learning materials and assignments that students must complete in certain places in e-learning for students to access
Analyzing Food Prices in North Sumatra Province in 2022 – 2024 Using the Linear Regression Method
Full text linkThe food price data used was obtained from literature studies which include main food ingredients such as rice, beef, chicken, eggs, red onions, red chili pepper and cooking oil. The linear regression method is used to model the relationship between the independent variable (year) and the dependent variable (food prices), with the aim of predicting future food prices based on historical data. Although linear regression can provide fairly accurate food price estimates, improvements in prediction models can be achieved by incorporating other analysis methods such as time series analysis or machine learning. The implications of this research highlight the importance of effective policy planning to maintain food price stability and ensure sufficient food availability for the community. Future research could involve more in-depth analysis of the factors influencing food prices, as well as the development of more sophisticated prediction models to support decision-making in agriculture and food. This research aims to analyze food prices in the Northern region of Sumatra Province during the period 2022 to 2024 using the linear regression method. The results show that rice, meat, chicken meat, chicken eggs, shallots, red chilies and edible oils all increased, but only chicken meat, shallots and edible oils also experienced a decrease