IIAI Letters on Informatics and Interdisciplinary Research

Question Generation for English Reading Comprehension Exercises using Transformers

2023-11-27T07:02:00+00:00

In secondary language education, one tool used by teachers to test students' language ability is reading comprehension. The construction of these problems can take a lot of time as the text needs to contain only the vocabulary and grammar the students know, and the questions also need to test the reasoning skills the teachers want to evaluate. To allow educators to use reading comprehension exercises more frequently, this research aims to alleviate the time constraint of creating these questions by training a controllable transformer-based natural language processing model to create questions of varying types and about a passage of text as specified by the user. After fine-tuning, the questions generated using the new controls either suffered from overfitting or from a lack of diversity between them, however the output of an existing question generation control was altered and became capable of generating questions suitable for use in reading comprehension. To improve the output of the new controls, more data could be used in the training, or an alternative training scheme would need to be utilized.

A Web-based Information System of Receivables and Supplies with LIFO Method

2023-12-29T01:27:55+00:00

CV.Serasi is running a business on material buildings. However, it does not have any stock card.A large number of commercial items, but each item does not have a stock card since the adminsimply checks and knows whether the commodities are still there or have been depleted, so theycannot compute the worth of the commodity's primary price. Therefore, the researchers conducted a study on designing and creating an accounting information system entitled AWeb-Based Receivables and Inventory Information System with the Lifo Method at CV SerasiKota Banjarmasin. This system is expected to help the management performance at the store onthe transaction process, because it is planned to provide calculations in each sales transactionexpected to facilitate in the management of the store management. The system tools used in thedesign of this information system were: Data Flow Diagram (DFD) which functioned to describean existing system or a new system that would be developed logically and Entity RelationshipDiagram (ERD) which was useful for modeling a system that will later develop its database.

The Implementation of The Analytical Hierarchy Process Method to Determine the Potential for Tourism Village Development

2023-12-27T15:35:05+00:00

The province of South Kalimantan currently lacks an information system capable of managing and mapping data related to tourism village potential in the region. However, if properly utilized, this data can offer valuable insights into the cultural and locally inspired tourist attractions in South Kalimantan. This research aims to develop a web-based decision support system that utilizes the Analytical Hierarchy Process (AHP) method to gather and map data on tourism villages, providing recommendations for tourism purposes. By integrating the AHP method into the decision support system, users can identify and choose potential areas with the capacity to be developed into regional tourist destinations in South Kalimantan. The accuracy of the system's calculations was validated by comparing them with manual calculations using the AHP method, yielding precise results. The top recommendation, with a weight value of 0.51, was Tiwingan Lama, followed by Loksado in second place with a weight value of 0.36, and Tiwingan Baru in third place with a weight value of 0.2. Utilizing the AHP method for suggesting tourism potentials can enhance the objectivity of the decision-making process, optimize the use of resources, and maximize the advantages for all stakeholders involved in the tourism sector.

Designing Mobile-Based Interactive Learning Media in MICE Courses

2023-12-29T12:22:55+00:00

The emergence of the MICE industry, which is multifaceted and involves various stakeholders, presents a novel opportunity for multiple parties to derive benefits. This reason has made the growth rate of MICE organizers appear, so it is undeniable that the MICE industry, as an industry today, requires a lot of skilled human resources. So, education for MICE courses must be conducted optimally to produce quality human resources through excellent learning. This study aims to design mobile-based interactive media applications for MICE courses. so that it can increase student interest in learning and improve the quality of learning. the application is designed using the Multimedia Development Life Cycle (MDLC) method. The design is carried out in six stages starting with concept, design, material collecting, assembly, testing and distribution. It is hoped that the development of this application can contribute to the creation of superior human resources for the MICE industry and have capabilities that are in line with industry needs.

Optimized Website Traffic Forecasting with Automatic Models and Optuna

2023-12-28T12:22:27+00:00

Although time-series forecasting has emerged as a key area of interest in recent years for analyzing historical data to make predictions about future trends, accurately forecasting web traffic can be challenging due to the dynamic nature of the internet and the many factors that can influence user behavior. Existing traffic flow prediction approaches primarily use simple models that are often inadequate for real-world applications. This research aims to develop an optimized machine learning model using FB-Prophet and NeuralProphet for forecasting website traffic and to compare their relative performance and effectiveness in predicting web traffic. This study aims to develop an optimized machine learning model using FB-Prophet and NeuralProphet for forecasting website traffic and to compare their performance in predicting web traffic. Our study found that both FB-Prophet and NeuralProphet models performed better than the simple models used in existing traffic flow prediction approaches. However, the NeuralProphet model outperformed FB-Prophet in terms of accuracy and computational efficiency. The best result obtained from the study was achieved by the NeuralProphet model, which had a Mean Average Error (MAE) of 25.61, Mean Square Error (MSE) of 1354, Root Mean Square Error (RMSE) of 5.060, and a Coefficient of Determination (R2) of 0.882, indicating its superior performance in accurately forecasting website traffic. The results suggest that an optimized machine learning model using NeuralProphet can be an effective way to forecast website traffic and help businesses and organizations better understand web traffic patterns.

User Interface Modeling for Rental Information System Using a User-Centered Design

2023-12-27T15:00:59+00:00

Logik Filter is a business that focuses on technological creativity such as rental lighting, lighting installation services, multimedia, and art installations. Rentals at Lojik Filter can only be done via whatsapp or direct transaction. This type of transaction process requires many steps and con-sumes more time. This business requires a website to ease customers from various regions to rent equipment or order services. To develop this website, a user interface (UI) is needed that can meet user needs and make it easier for them to get information and make rentals. A user-centered design (UCD) approach is used to design a rental website UI according to the needs of customers and the business processes of Logik Filter. This research aims to design a rental website UI using UCD approach. UCD in this research is carried out in four stages: discovering requirements, designing alternative, prototyping, and evaluation. Usability testing in the evaluation stage uses a Single Ease Question (SEQ) metric. Based on the research conducted, the proposed UI model for this multimedia equipment rental information system meets the users’ needs. A SEQ value of 6,2 indicates that the UI design has a good level of usability and is easy to use. This UI design will be used in developing a rental information system.

IoT Based Smart Aquarium using NodeMCU

2023-12-29T09:39:48+00:00

Important aspects of aquarium fish maintenance include the timing of fish nutrition, the availability of water, the temperature of the water, and the monitoring of the aquarium's condition. This study aims to develop an IoT-based aquarium, also known as an internet of things aquarium, that is capable of automatically sending images via telegraph, feeding fish, setting the time that the light turns on, detecting the temperature and level of the aquarium water, and setting the time that the light turns off. A Smart Aquarium consists of an Arduino IDE, an ESP8266 Microcontroller, an ESP32 Cam, a Water Level Sensor, a Buzzer, a PIR Sensor, an RTC DS3231 Module, CP1202 Modules USB to TTL, a 12 Volt DC Fan, a Relay, a Lamp, an Adapter, an LCD, and a Motor Servo. Based on functional and unit testing, the functionality of this tool is satisfactory.

Early Diagnosis of Damage to Automatic Injection Motorcycles Using a Decision Tree Algorithm Based on Mobile Application

2023-12-28T07:41:09+00:00

Indonesia is the country with the most motorcycle users, where nearly a third of the population owns motorcycles. Automatic motorcycles are the most widely used type because of their agility and ability to save fuel. However, if there is sudden damage, it can hamper activity. In addition, most users do not know the cause of the damage they are experiencing. The purpose of this research is to develop a mobile-based application to help users of automatic injection motorcycles in diagnosing earlier the problems they are experiencing. All data related to damage and its solutions were obtained based on interviews with experts and conforming to existing theories. The research method used is to develop applications using the System Development Life Cycle (SDLC) and the artificial intelligence algorithm used is the Decision Tree. Decision Tree has become one of the popular algorithms for diagnosing damage to various systems and devices, including in this context for diagnosing damage to automatic injection motorcycles. This method is used because it is a key path for identifying damage that has rules. The Decision Tree is a technique of exploring data into a branch to produce a solution. The results of this study are that the application is fully functional, both from the user and admin side. In addition, through the application of the Decision Tree Algorithm with an accuracy rate of 100% without any discrepancies. Finally, we can also confirm that the application can be used by users to assist in solving damage problems by accommodating maintenance actions or also choosing repair services.

Algorithm Analysis of Association Rule Apriori to Determine the Prediction of Sasirangan Production Based on the Patterns of Sales Transactions

2024-03-25T05:05:05+00:00

The Sasirangan production house in Banjarmasin is one of the manufacturers of several cloth and convection of Sasirangan products. Based on a marketing perspective, the Sasirangan production house had difficulty in determining the number of products to be produced based on the type of cloth, color, and pattern of the Sasirangan cloth. This is very crucial in controlling the production of sasirangan, namely how much sasirangan production must be made with the type of cloth, color and pattern of sasirangan cloth and sold according to the interests of the majority of con-sumers. In business man-agement, namely in controlling sasirangan marketing, the administra-tive performers would like to have a clear understanding of the circulation of products sold ac-cording to the categories of shapes, types of fabrics, patterns, and colors that consumers prefer in terms of sales transactions. In a trading transaction, there must be a record, especially if the transaction is a massive transaction, a database is definitely needed to store the record, so that it can be used as information. The stored information must contain a hidden value that can be used as additional information where the information was not previously known. Data mining is a set of techniques that are used automatically to thoroughly explore and bring to the surface complex relations on very large data sets. The process of deciphering the discovery of knowledge in a database (in this case the data on sales transactions that occur at home) production of Sasirangan Banjarmasin) as is done in terms of seeing the relationship of the sales process of each transaction item variable above, is a concept called data mining. Data mining Algorithm Association Rule Apriori can both assist in grouping and classifying the sales process by providing a relationship between sales data made by customers so that customer purchasing patterns will be obtained as a form of more dominant consumer interest, allowing the Banjar-masin sasirangan production house to determine predictions of Sasirangan fabric production according to patterns consumer interest. The Banjarmasin sasirangan pro-duction house is expected to be able to determine pre-dictions of Sasirangan fabric production according to consumer demand patterns, as a form of marketing strategy that can be implemented by considering the production materials that must be prepared. In order to reduce production costs and maximize profits.

An Attempt at Peer Learning with Explanation in Introductory Programming Education

2023-12-26T04:00:21+00:00

This paper introduces "Peer Learning with Explanation" (PLE), an innovative approach in introductory programming education, inspired by pair programming. PLE is a collaborative learning strategy where students work in pairs to solve programming tasks, with one student explaining their reasoning and methods to their partner. This approach aims to deepen understanding and enhance learning outcomes through the sharing of ideas and feedback. A key feature of PLE is its structured method for addressing exercise problems, clearly outlining the steps involved, what actions to take, what to explain, and what to discuss. This structured approach ensures that students are focused on their learning goals, thereby improving their comprehension and problem-solving abilities. The study, conducted with first-year students at the Kanagawa Institute of Technology, Department of Information Media, investigated the effectiveness of PLE compared to traditional solo programming methods. Results indicated that students engaged in PLE demonstrated a better grasp of programming concepts and skills. PLE encourages students to articulate their thought processes and problem-solving strategies, leading to a more profound understanding and retention of programming knowledge. It is also expected to foster improved communication and collaboration skills, which are essential in the programming field. The findings suggest that PLE can be a valuable tool in programming education, significantly contributing to students' learning experiences and outcomes.

An Prototype: Mobile based Fire Extinguisher Count Requirement System

2023-12-29T06:30:37+00:00

It is possible to make an effort to meet active fire protection standards by having fire extinguishers available, which refer to the rules for the number of requirements and placement of fire extinguishers in each building. These rules can be found in the active fire protection standards document. Formulas are used in accordance with the Regulation of the Minister of Manpower and Transmigration No. Per.04 / MEN / 1980 in order to determine how many fire extinguishers are required for a given location. Currently, the problem that occurs is that there are still many buildings that have not met active fire protection standards such as not matching the number of fire extinguisher needs and their placement in a building. Data collection is carried out with two approaches to qualitative and quantitative methods. It was found that the prototype of the system that was built can be understood by users very well, and that the level of usability has met good results based on the SUS method. These findings were based on the findings of tests that evaluated the system's effectiveness and efficiency. It is anticipated that this prototype system will contribute to efforts in active fire protection.

An Integrated Self-Determination Theory and Theory of Planned Behavior towards Utilize Technology

2023-12-28T04:24:25+00:00

Smart City is closely related to technological innovation and application. This study will analyze the individual motivation for WiFi Trash Bin in Taman Edukasi Baiman Banjarmasin, which is directly related. The purpose of this study is to describe the motivation of individuals by integrating the Self-Determination Theory (SDT) and the Theory of Planned Behavior (TPB). The method technique employed for analysis is PLS-SEM, with a sample size of 100 respondents (10% significance). Individual motivation is characterized by integrating the SDT and TPB models with the variables Intrinsic Motivation (MI), Extrinsic Motivation (ME), Subjective Norm (NS), Perceived Behavior Control (KPD), Attitude Toward Behavior (PP), Socio-Demographics (SD), Environmental Awareness (KL), and Motivation Using (MM). According to research, motivated individuals utilize WiFi Trash Bin when they are intrigued and confident in the positive outcomes resulting from internal motivation, but are unaffected by external motivation. In addition, it was discovered that an individual's intrinsic motivation is influenced by social pressure, interest, belief in the outcomes obtained, and environmental concern. As for external motivation, only sentiments of social pressure and concern for the environment influence it.

A Survey of Middle and Upper Elementary School Students’ Knowledge of Cloud Computing

2023-12-31T23:32:20+00:00

In this study, a questionnaire was administered to middle and upper elementary school students to evaluate their cloud computing knowledge to obtain suggestions for instructional strategies to understand and promote the utilization of cloud computing. Pictures and sentences explaining cloud computing were evaluated based on the evaluation criteria developed from the points of view proposed by Mitsui et al. As a result, we found that some viewpoints were easy to understand, and some were difficult to understand. Overall, we found that the general level of cloud computing knowledge acquisition was low. In addition, the upper grades were not necessarily more proficient, and there were differences between classes. In addition, we analyzed the relationship between the students’ cloud computing knowledge and the teacher’s experience. As a result, students whose homeroom teachers had limited experience and students whose homeroom teachers had extensive experience teaching students to utilize one-to-one devices were more likely to have acquired knowledge of cloud computing.

Changes in Students' Motivation to Study and Their Predictions

2023-12-20T02:57:18+00:00

The students' motivation to study in class is presumed to be closely related to their concentration. Previously, we have pointed out the similarity between the temporal variation of the motivation to study and the radioactive decay process. (A) In this paper, we attempted to verify the radioactive-decay approximation for the students' motivation. We also examined the validity for the predictive equation to describe the motivation. (B) For these verifications, we used data from 2022 and 2023 academic year. As a result, although there remains some degree of uncertainty in the approximation using continuous functions (including decay functions), we confirmed that the assumption of the radioactive-decay approximation is valid for the entire flow of ten sessions. It is also noted that the accuracy of the assumption of the radioactive-decay approximation is found to be higher than that of the linear approximation for only the six classes in the present study. Furthermore, we conclude that the formula for predicting radiative decay derived by the method we have found are valid to some extent. This implies that motivation level to study follows a natural law.

Decision Support System to Determine Feasibility of Rice Aid Recipient Group Based on K-Means

2023-12-29T03:23:41+00:00

Poverty is a crucial social problem in many countries. High economic inequality can lead to social instability. The Indonesian government seeks to alleviate poverty through the Rice for the Poor program. However, aid distribution is often off-target. This study proposes a decision support system based on the K-Means method to determine the group of poor rice recipients. The system was developed by following the user's functional requirements, in this case, the Banjarmasin City Social Service. This study involved 50 respondents as a test sample to evaluate the performance of the proposed system. In addition, this study conducted accuracy tests to assess the accuracy of system processing results. The test results show that the system's accuracy in distinguishing qualified and non-qualified candidates further strengthens its potential use in facilitating the allocation of social assistance to those in need.

Banua Anyar Floating Net Cages, Is It Suitable or Not

2023-12-28T01:45:05+00:00

Floating Net Cages is a fishery business developed in Banua Anyar, Banjarmasin City. A total of 544 cages are managed by the Banua Anyar community. The majority of cages in Banua Anyar are used to cultivate Bawal fish. In 2019 there was a sudden death of all the fish in Floating Net Cages. This case was happened because low value of dissolved oxygen and high water salinity. So the study must be done to find out whether the location of the Floating Net Cages is suitable based on the physical and chemical parameters of fresh waters. This study is to ensure the sustainability of the Floating Net Cages and environmental carrying capacity. This study has used spatial analysis to perform scoring, spatial join and overlay in Inverse Distance Weighting (IDW) to obtained some information on physical and chemical parameters. The results indicated that of the 25 Floating Net Cages sample points, a total of 19 sample points were declared potential for Floating Net Cage and 6 sample points indicate quite suitable for Floating Net Cages. If examined based on physical and chemical parameters, it is indicated that several parameters do not meet the optimal value for aquaculture. Physical parameters that indicate sample points are not optimal for cultivation include water depth, brightness and current speed. Chemical parameters indicating not optimal for cultivation include dissolved oxygen and salinity. Physical parameters that indicate sample points are not optimal for cultivation include water depth, brightness and current speed. Chemical parameters indicating not optimal for cultivation include dissolved oxygen and salinity. Physical parameters that indicate sample points are not optimal for cultivation include water depth, brightness and current speed. Chemical parameters indicating not optimal for cultivation include dissolved oxygen and salinity.

The Effect of Classroom Interventions of Reflection and Foreseeing on Mitigating Passive Procrastination in a Hybrid Learning Environment

2023-12-30T00:54:33+00:00

Online learning is often overlooked by teachers, making it easier for learners to procrastinate compared to face-to-face learning. Conversely, the online setting offers the advantage of customizable study schedules for learners to fit into their busy lives. Hybrid learning utilizes a combination of online and face-to-face instruction, and becomes a widely adopted approach to foreign language education. The focus of this study is to examine how teacher support can enhance self-regulated learning (SRL) awareness when conducting online learning tasks, while still promoting learner autonomy in a face-to-face environment The findings indicated that students’ tendency to procrastinate could not be regulated through assignments that were optimized for difficulty. However, some students were able to achieve learning without procrastination through reflection activities, even though the tendency to procrastinate was predictable based on psychological factors.

Effects of Habit-Enhanced Assignment Design on Learning Behaviors and Psychological Factors of Japanese EFL Learners Under a Distant Online Learning Environment

2023-12-28T12:42:23+00:00

The COVID-19 pandemic has accelerated the integration of Information and Communication Technology (ICT) into education, with blended learning - a combination of in-person and online teaching - gaining significant attention. This study investigates two primary aspects: (1) how classroom interventions enhance habitual learning, focusing on the promotion and control of students' habitual learning behavior, and (2) the role of psychological factors, including cognitive aspects of Self-Regulated Learning and International Posture as a motivational factor, in facilitating habitual learning. This investigation takes place within a blended learning environment where asynchronous online learning complements traditional instruction. During a thirteen-week period, students were tasked with engaging in courseware in a habitual manner, completing one lesson every two or three days. At the beginning of each class every week, “Reflectio” and “Foresight” interventions were conducted. Subsequently, students' learning behaviors were meticulously analyzed and classified into distinct types. The findings revealed that some students displayed habitual learning behavior, some showed semi-habitual learning behavior, while others struggled to complete the tasks. Through a quantitative and qualitative analysis of psychological factors, including questionnaire responses and open-ended interview data, it was evident that students from various behavior types exhibited a diverse range of psychological influences. Despite these differences, almost all students concurred that classroom interventions effectively served as reminders to maintain habitual learning awareness. In conclusion, while these interventions proved effective as reminders and sources of encouragement, further attention to task design is imperative for enhancing habitual learning behavior across a spectrum of psychological factors.

Application of Mental Health Android-based using Forward Chaining Method

2023-12-27T15:05:05+00:00

Someone who is experiencing mental disorders must carry out medical consultations and seek experts in the psychiatric field and this requires a lot of funds. Doing a self-diagnosis of mental health can result in mishandling, because you will carelessly take drugs that are not recommended by doctors, while going to a doctor requires a lot of money. This research was carried out to develop an android-based expert system to determine mental health using forward chaining method. This application was developed using the Kodular web operating system. Meanwhile, for supporting the application development, the data were gathered through direct observation, interviews, and library research. The final product of the research was Android-based mental health diagnosis application that makes it easier for someone to do an early analysis. By using this application, users are able to take action from the initial treatment suggestions displayed. In addition, as proof that this application runs well, the black box test has been carried out.

Measuring Usability on Mobile Education Game: the UMUX

2023-12-29T09:45:52+00:00

Layout inconsistencies within the system, redundant functionality, or the absence of a help button. All of these are instances of elements that make mobile gaming education quite frustrating. The purpose of this study is to assess the level of usefulness and value that may be found in mobile game education. The use of UMUX as a measuring instrument is a new addition to the usual collection of usability questionnaires, to test the perceived usability of a product or service by employing a smaller number of items that are more closely aligned with the definition of usability. In our study, we used method UMUX for online questionnaire. Respondents on this study is 50 people. The usability testing is done on a total of eight different instructional mobile game layouts. Result showed that layout with the highest value and grade is number 8 (85/A+), which displays the page for the “Tes Hafalan”. The layout with the lowest value and grade is number 5 (77/B+), which presents a page view of the Tajweed Law. Based on the CGS Table, mobile game education that was researched obtained an average score of 80.5, which corresponds to a grade of A-. These findings indicate a positive user experience, which is relevant to usability. On the other hand, UMUX is capable of interpreting a system in a way that is usable, albeit subject to a number of restrictions.

Geospatial Analysis of Road Networks in Determining Land Fire Evacuation Routes in Banjar Regency, South Kalimantan

2023-12-28T09:38:27+00:00

The land fires that occurred in 2019 in Banjar Regency, South Kalimantan disrupted economic, educational and public health activities. A total of 269,777 ha is flammable peatland. Banjar Regency experienced land fires of 22,943 ha. The number of hotspots in Banjar Regency was detected as many as 2000 points. Using analysisNetwork Analysis which is one of the analysis Geographic Information System (GIS) used to analyze the movement.The route will be built with the assumption that the route will be optimal for the distance traveled against the time it takes. Thus, this analysis will produce the fastest route (based on time) and the shortest route (based on distance).. The results indicate that from 8 sample points of API hotspots on peatlands, there are 8 evacuation buildings for evacuation routes with the fastest route and time in Road Class I, road width, road conditions and vehicle category.

The Tahfizh Qur'an Learning Outcomes Monitoring System

2023-12-27T14:20:13+00:00

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Health History Information System for Medical Machine Analyzer Users

2023-12-29T07:21:45+00:00

In recent years, wearable technology has grown quickly in many areas, including health care, thanks to the Internet, more advanced hardware, and a lot of data. One example is the Quantum Analyzer. Patients won't be able to look at the results of medical tests done with the Medical Machine Analyzer tool, though. The goal of our study is to create a health records system for users of the quantum machine analyzer. You can only see these results by using the program, which is only available to the person who bought the tool. The system is built using the waterfall method of software development, which has steps for figuring out what needs to be done, designing it, writing the code, and testing it. The Health History Information System has many pages, such as the User homepage, the Patient page, the Consultant page, the Schedule page, the Contact page, the Form login page, the Homepage for the administrator, the Patient data page, the Registration data page, the History result data page, and the Form user page. Test two things to find out how well this method works: how well it works and how well it works. The Health History Information System was put together in a good way. This is clear from the results of testing for usefulness and efficiency by both users and administrators. Effective means that the Health History Information System is able to support the organization's business strategy, improve organizational structure and culture, and raise customer and business value in the health sector. While efficient means that this system has all the features it needs and has been built to its best potential.

Web-based Performances Evaluation Analysis of Civil Servants in Banjarmasin City Government Using Fuzzy Method

2023-12-28T04:59:25+00:00

The problem with reporting civil servants activities with the current system is that each activity uses points where civil servants who have many activities can easily collect points in a relatively short time. As well as the difficulty of determining civil servants who are diligent and who are not. In this study, a program was created to determine the diligent and not diligent civil servants using the web-based Fuzzy Tsukamoto method with the Laravel framework. This study uses 3 indicators, namely the number of activities, the number of minutes of activity and the percentage of attendance. Of the 3 indicators, for the first stage, the fuzzification value is sought, then from the results of the fuzzification value, inference and defuzzification can be calculated. The results obtained are the classification of civil servants, namely diligent and not diligent. From this final score, the government can determine the level of discipline of civil servants and can provide disciplinary awards or punishments.

How Smartphone Natives Can Learn Animation Principle: Introductory Animation Class for Students with No Art Background

2024-01-03T08:46:40+00:00

This paper presents a four-year case study on animation education within an Information Media department, focusing on smartphone integration. Although animation is commonly associated with fine arts departments, its use in various visual communication contexts on digital devices has expanded. Despite the conventional premise that animation is for students with art backgrounds, Kanagawa Institute of Technology (KAIT), Department of Information Media considers it essential to teach animation basics, even to students without art backgrounds. To address this, stop-motion on smartphones is adopted as a teaching tool for its low learning cost. The paper discusses how this approach, initiated during the COVID-19 pandemic, improved the efficiency of animation education. Notably, the use of smartphones extended beyond remote learning, enhancing the outreach of animation education even in face-to-face classes. The students who participated in this course not only had high learning enthusiasm, but also submitted excellent works. The paper concludes by confirming the potential of mobile technology to enhance learning.

Development of a Cybersecurity Training System Based on SaaS

2023-12-20T15:54:10+00:00

This study proposes the development of a cloud-based cyber attack and defense exercise system that enables practical cybersecurity exercises and experiences by using the Cyber Range environment built in a virtual space on the cloud via a local web browser. The platform and exercise programs will be developed on an open-source software platform built on the cloud as an ecosystem. The exercise contents will be developed using Docker, which has excellent portability, and attack and defense exercise scenarios will be produced as containers. By building the system in the cloud, this study proposes a platform that can be configured with various exercise scenarios independent of local PC performance. This study (1) develops a SaaS platform that can be connected to the cloud-based training environment via a web browser. (2) Enable users to interactively respond to attacks and defenses in a virtual space on the cloud in an internet environment. Finally, (3) The curriculums are structured based on microservices to be configured flexibly.

Using C4.5 Decision Tree to Determine the Majors of Students in SMAN 4 Banjarmasin to Reduce the Cause of DropOut from School

2023-12-29T03:49:08+00:00

Choosing the right major is important for students. Choosing the wrong major by students can make the learning process difficult and ineffective. Ineffective learning outcomes can lead to decreased grades. The worst case can cause students to drop out of school. In this study, the C4.5 algorithm is used to generate decision trees to determine major recommendations. The data used is data from previous year prospective students such as exam results, interests and talents used in the decision tree. The results of the decision tree are used for recommendations for selecting student majors. Students with the right majors can make the learning process more effective and can get better grades. Good grades can reduce the reasons for dropping out of school and make students more enthusiastic about learning.

Design and Development of Student Attendance and Academic Consultation Information System in Bussiness Ad-ministration Department of Politeknik Negeri Banjarmasin

2023-12-28T02:07:31+00:00

The role of academic information systems is of utmost importance in the education sector, specifically in managing both academic and non-academic data and activities. The integration of information technology has become an essential requirement in developing valuable information systems to meet the academic service needs within a university campus. The provision of prompt and transparent services is vital for establishing a reputable institution with high value. However, many campuses still rely on traditional methods and have yet to fully harness the potential of technology as a source of information to enhance student services. By leveraging technology, students can conveniently access attendance records, receive academic consultation, and express their concerns without being constrained by time and location. To address the challenges faced by academic departments in handling a significant volume of student complaints, a reliable, user-friendly, and transparent information system is necessary. Web-based academic services serve as one feasible option for streamlining the management and resolution of student issues on campus, accessible through mobile devices and computers with internet connectivity. A web-based academic information system will be designed to cater encompassing academic services, administration, and suggestions. Through the implementation of such a system, it is anticipated that academic services on campus will become more effective, efficient, and transparent.

Epistemic Stance and Contextualization on MLM and NSP

2023-12-30T10:04:59+00:00

Error analysis in non-task-oriented dialogue systems has been discussed from many perspectives, mainly in the fields of Artificial Intelligence and Informatics. However, the current trend of error analysis focuses only on local elements and fails to incorporate the whole discourse, as shown in the masked language model and next language prediction. From a linguistic perspective, there are several reasons for errors and unnatural flow in conversations with a Chatbot. These can be stated as: 1) narrowly defined fragments of discourse and the concept of cohesion, 2) a lack of social intelligence in Chatbots due to the limited variety of corpora, and 3) the algorism uncertainty based on the limited variety of data.

This paper analyses the range of references seen in a Chatbot conversation, via qualitative and quantitative methods, and observes how errors are related to the coverage of references, why and how it occurs, and how this kind of error is related to current architectures.

The hypotheses are examined using two processes: 1) comparing the length of references between Chatbot and human interactions, 2) the frequency of errors in Chatbot conversations based on recognition of turn issues (such as insufficient recognition of references, recognition limited to two turns, and the fixed feedback move in a three-turn exchange structure) based on data from “Airfriend” and real, human-produced conversational data.