Journal of Information Technology and Computer Science

Measurement of User Satisfaction for Gamification-based Programming E-Learning Platform using End-user Computing Satisfaction Method

Fajar Pradana — 2024-08-23

HSS Learning is a learning media innovation in the form of a gamification-based e-learning platform to support the learning process in programming. HSS Learning has been applied to web design and programming courses, primarily on HTML and CSS topics. This study uses a quantitative model using a descriptive approach to measure the satisfaction level of HSS Learning users—measurement of user satisfaction using End-user Computing Satisfaction (EUCS). The variables used in this research are content, format, ease of use, timeliness, and accuracy. Data collection used a questionnaire consisting of 12 questions, with the number of participant data being 264 participants. The results show that the overall level of user satisfaction reaches 4.30 at level 5 (very strong). The results of this study can be used as a material evaluation for the application of instructional media in the programming field.

Designing an Intuitive Android Based m-Learning to Support Students in Learning Fundamental Java Programming

Komang Candra Brata — 2024-08-23

In the context of a Computer Science Major in Indonesian higher education, Java programming language is not only one of the most essential programming languages courses but is also considered to be challenging to learn. This fact has led to the development of numerous mobile learning (m-learning) applications to assist learners in acquiring Java programming skills independently. Most existing Java learning assistants are presented on websites or computer platforms which can only be accessed when students open their computer or Laptop and it mostly focuses on enhancing coding abilities, and practical hands-on. While these aspects are crucial, understanding the programming concepts and guided practice are equally essential in fundamental Java programming learning. This paper presents the concept of practical coding exercises in an m-learning application, providing a new interactive approach for learners as an alternative tool for learning Java programming so they can learn Java programming concepts more frequently from their smartphones. The primary objective is to investigate the feasibility of the proposed m-learning prototype. The proposed application is expected to offer intuitive coding exercises and case study opportunities. Experimental results demonstrate that the overall functionality of the proposed application is feasible for future implementation, with a usability score of 84.

Implementation of HSI and LBP Feature Extraction for Identification of Broccoli Quality with F-KNN

Yulian Findawati — 2024-08-23

This study proposes a method of searching for broccoli quality based on imagery using the Fuzzy K-nearest neighbor (F-KNN). Broccoli is used because it is a type of herbaceous vegetable that has a unique color and shape so visual assessment is still limited. The data used in this study were taken from 2 cities in Indonesia, Pasuruan and Malang Regency which consisted of good quality and bad quality. The total data used is 120, each quality comprising 60 images. In the pre-processing process, several stages are carried out to proceed to the next process. Feature extraction is done through algorithms, namely HSI (Hue, Saturation, and Intensity) and LBP (Local Binary Pattern), which are then divided into training and testing data. F-KNN is used as a classification. The accuracy obtained from this study reached 94.4%. This value indicates that the use of both feature extraction and classification algorithms produces good accuracy in the training and testing data with a 40:60 scenario. This result showed the potential of the feature extraction and F-KNN algorithm when classifying a large number of broccoli qualities.

The Effect of Communication Overload, Information Overload, and Exhaustion on Student’s Learning Productivity

Shandra Elvyra Sudarsono Putri — 2024-08-23

Every year, the percentage of Indonesians who utilize social media continues to increase. The ease of use of social media brings numerous advantages to users, particularly students. Students use social media to share and exchange learning materials, seek academic knowledge, and engage with friends and family. However, excessive use can cause exhaustion. This study aims to determine the ef- fect of overload factors on exhaustion and its effect on student learning productivity using linear regression analysis. Research data collection using questionnaires that obtain 100 respondents data. The research model uses the Stressor-Strain-Outcome (S-S-O) framework. The result suggested that communication overload affects student’s exhaustion, and student’s exhaustion also affects learning productivity.

Evaluation of Usability in LetsCode Digital Learning Media Using the Usability Testing Method and Use Questionnaire

Rahajeng Mufti Nadifa — 2024-08-23

Basic Programming is one of the compulsory courses at the lecture level in the field of computer science. The problem that is often encountered in these courses is the low understanding of students towards the programming material provided. Digital learning media, namely the LetsCode website, was developed to become a learning support medium and increase students' understanding of basic programming. To find out how far learning media can meet user needs, a usability test is carried out to determine the usability level of the system. The research was conducted using the usability testing method using a Use Questionnaire for LetsCode website users. The criteria for the test respondents were students of the Information Technology Education Study Program, Brawijaya University, with a total of 30 respondents. From the results of the questionnaire test using the F test, it shows that the variables of expediency, ease of use, and ease of learning have a simultaneous effect on satisfaction. For the feasibility of getting a result of 88.43% of the overall usability aspect which shows the LetsCode website is in the very feasible category. The research was limited to the analysis of questionnaire data and did not enter the system development stage.

Implementation of Rainfall Monitoring through an Information System Based on Radar and Satellite Image Data using the Kalman Filter Method

Sugiarto — 2024-08-23

Rainfall information is important for water resource management and disaster mitigation, so a monitoring system is needed that can provide spatial information. A rainfall monitoring information system uses radar and satellite images based on the Kalman Filter method is a website information system that aims to make it easier for users to monitor rainfall from a latitude and longitude coordinate point. The rain intensity data is in pixel colours (Red, Green, Blue) from the MAX (dBZ) product image of the EEC Weather Radar in Lampung and cloud top temperature data from the Himawari satellite. The image pixel colour data is then processed using the Kalman filter and displayed on the integrated website. The website's appearance is designed to be interactive to accommodate user customization, and the data displayed has been adapted to geographic information systems. Implementing a rainfall information system based on weather radar and satellite imagery disseminated through the website is expected to help users, both the general public and stakeholders, access real-time weather information, especially rainfall.

Classifying Application User Comments Using the Improved K-Nearest Neighbor and BM25F Weighting Methods

Indriati Indriati — 2024-08-23

Mobile JKN is an application developed by an Indonesian state-owned health insurance company, BPJS Kesehatan. The application is developed to provide easier access and more optimal service for its participants. The application allows users to access various information related to national health insurance programs anywhere, anytime. Despite the benefits this application offers, Mobile JKN received low ratings from the users. However, the ratings are sometimes irrelevant to the comments. We proposed an application to automatically review the comments based on ratings and comments, both negative and positive, using the Improved K-Nearest Neighbor (IKNN) classification algorithm with the BM25F weighing method. The initial stage of the algorithm involved document preprocessing, the document consisting of comments and rating were preprocessed to obtain the term. After that, BM25F weighing was applied to find the similarity between documents. The document was then classified using IKNN based on its BM25F weight. The test result showed that the highest accuracy rate was 0.925, obtained from parameter k=20 on IKNN with k₁=1.2, B_s=0.75, and BM25F weight of 2 and 5. The result indicates that this method manages to classify the document properly

Utilizing a Routing Table of Proactive MANET Routing Protocol to Monitor a Group of People Mobility

Primantara Hari Trisnawan — 2024-08-23

In general, a special group has a leader who is responsible for his or her members. The problem that often occurs in groups is the loss of members due to leaving the group. To overcome this problem, it is necessary to build a system that can help the leader monitor the members of his or her group by getting an alarm warning if there are members who have the potential to leave the group or even those who have left the group. Existing solution is using such one hop/direct communication, which may monitor each member too close. Then, our proposed system to overcome the limitation of a single hop wireless range is to monitor each member to some extent to reach multiple hops of wireless range. The system is developed using one of proactive MANET routing protocol, ie the Destination Sequenced Distance Vector (DSDV) protocol, and utilizes hop number information in the routing table to detect slave nodes (members' equipment) that have three or more hops from the master node (leader's equipment) or even if the slave node is lost. The testing on this system is carried out functionally and non-functionally. The results of functional testing show that the master node can produce an alarm warning in the form of a buzzer sound intermittently and the LED light flashes if there is a slave node with three number of hops or more and can produce an alarm warning in the form of a buzzer sound and the LED light flashes continuously if some slave nodes are lost. Routing table updates on this system have an average time of once every 92.445 seconds. The results of non-functional testing show that the average round trip time (RTT) required for the node to send broadcast messages is 0.208 seconds with 23 bytes of data and the average round trip time (RTT) to send SendMeYourNeighbour messages is 0.215 seconds with 43 bytes of data.

Keywords: Routing table; Monitoring Mobility; Dynamic routing protocol; MANET; multihops; DSDV

Data Collision Avoidance based on TDMA in LoRa Wireless Sensor Networks

Adhitya Bhawiyuga — 2024-08-23

Wireless Sensor Network has an applicative function and a broad discussion area so that it becomes an interesting research topic to discuss. WSN connects communications from several nodes in one network. In order to make each data can be sent, a communication module is needed. LoRa is a communication module that allows each node to make long range communication. However, one of the issues of WSN is that every communication on the node to exchange data uses a time reference from the respective local clock. The difference in time reference in each node will interfere with the process of arranging the communication time scheduling in each node. Time scheduling is necessary to avoid data collision, to apply low power to the system, and to schedule two-way transmissions on LoRa. To manage a scheduling, the time synchronization method is required to apply to equalize the time in each node in a network. The algorithm for time equalization and dividing the time slot for data transmission between nodes on the WSN is the Timing-sync protocol for sensor networks (TPSN) and Time Division Multiple Access (TDMA). This paper will explain the wireless communication method using TDMA based on the LoRa communication module.

The Vocational High School Student’s Computational Thinking Skills Comparison between Online and Offline Instructional Process in The Computer Network Subject Context

Admaja Dwi Herlambang — 2024-08-23

This study aims to see how high the difference in the average score of computational thinking skills is owned by students who carry out online learning with students who carry out offline learning and how high the significance level of the difference in the average score is. The approach used in this study uses assessment tools to measure the scores of students’ computational thinking skills. Sampling was done using a non-probability sampling technique for the 12th-grade students in computer network subjects of vocational high school. The mechanism used in this study was to provide research questions to each respondent under the learning mechanism, each of which consisted of 15 students. Based on the results of statistical calculations, it was found that the average/mean of the online mechanism group was 13.27, and the offline group was 17.73. In the Mann-Whitney U test, a score of 0.159 was also obtained. Comparison of the Mann-Whitney U test results with the test rules of 0.159 > 0.05. The conclusion is that there is a difference between the scores of the computational thinking skills of students who carry out online and offline learning, but this difference is not significant.