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61	Computer Science	ABS-25
Design and Development of IoT-Based Distributed Vibration Recording Instrument Rendy Ramadhana Wahyudi (a), Yudi Rosandi (a*) a) Department of Geophysics, Faculty of Mathematics and Natural Sciences, Universitas Padjadjaran Jl. Raya Bandung Sumedang km. 21 Jatinangor, Kab. Sumedang, Jawa Barat, Indonesia *rosandi[at]geophys.unpad.ac.id Abstract The IoT technology has a vast range of applications in nowadays human activities. The technology has tremendous capabilities, especially in the monitoring and automatization applications. In this work we report the development of wireless vibration sensors in order to detect the ground vibrations, based on the SM-4 geophone sensors. This study demonstrates the feasibility of deploying a cost-effective geophone sensor system, through testing the wireless functionality. The IoT Ground Vibration Recorder integrates a 10 Hz vertical geophone sensor with an ESP32 DevKit V1 board, using the ESP NOW protocol for wireless communication and data transmission. Data transmission involves a structured header and body. Field tests encompass diverse conditions: open land, buffer zones, and dense vegetation areas. The findings demonstrate the suitability of the ESP NOW protocol for sending seismic data, limited to 250 bytes per transmission. The maximum effective distance reached 95.3 meters, with varying results. Stable connections were observed at shorter distances, whereas longer distances resulted in poorer connections. In conclusion, this study advances seismic sensor systems via ESP32 integration. It successfully transmits seismic data packages and establishes effective sensor communication. Furthermore, the study proposes utilizing LoRa modules to extend connection distances and optimize battery life, enhancing the system^s overall performance. The ESP32 emerges as a promising option for future applications, offering significant potential for seismic data transmission and effective communication between sensors. Keywords: Keywords: Geophone, IoT, ESP32 Share Link | Plain Format | Corresponding Author (Rendy Ramadhana Wahyudi)

62	Computer Science	ABS-37
Penetration Testing of a Computerized Psychological Assessment Website Using Seven Attack Vectors for Corporation Website Security Rizky Rachman J,M.Kom, Jonathan Suara Patty Universitas Pendidikan Indonesia Abstract This research involved black box penetration testing of a computerized psychological testing website developed by PT Dwi Purwa Teknologi hereinafter referred to as the client . The testing simulated attacks by a foreign entity unfamiliar with the website^s structure. The assessment focused on seven attack vectors: SQL injection, RCE, URL manipulation, CSRF, SSRF, XSS, and Broken Authentication and Session. Vulnerabilities resulted from poorly sanitized input forms, leading to SQL injection and RCE risks. Inadequate input validation enabled cross-site scripting attacks, while missing CSRF tokens exposed the website to CSRF threats. The research underscores the importance of penetration testing to identify and address security weaknesses, empowering the client to fortify their website against potential cyber threats. Keywords: Penetration Testing, Simulated Attacks, Attack vectors, SQL Injection, RCE, Cross-site scripting, SSRF, CSRF, Vulnerabilities, Cyber threats. Share Link | Plain Format | Corresponding Author (Jonathan Suara Patty)

63	Computer Science	ABS-41
Using DNN Algorithm for Emotional Detection Based on Video Comments Text Data Herbert Siregar (a*), Erna Piantari (b), I Gusti Ngurah Agung A Ananta Wijaya(a) a) Computer Science, Universitas Pendidikan Indonesia, Jalan Setiabudi 229, Bandung, Indonesia b) Computer Science Education, Universitas Pendidikan Indonesia, Jalan Setiabudi 229, Bandung, Indonesia Abstract Youtube is the largest online video provider site on the internet which provides facilities for uploading various content according to applicable regulations. The video certainly impacts viewers, which can be seen in the comments that appear. Comments given by viewers can implicitly show the emotions they feel. Today, the extraction of emotional levels in comments is a part that is widely studied to see the impact of media on audiences. The benefits of this extraction can be used as material for analysis, for example for product design, marketing, product launch, service quality, level of competition, and others. In computer science, Natural Language Processing (NLP) & Machine Learning (ML) such as RNN can be used to predict implicit emotions. In this study, we apply a model to predict implicit emotions from audience comments using the RNN GRU algorithm. Comments that had been labelled emotional were then processed by improving words, replacing words with root words, and reducing words that did not provide a predictive performance improvement. Furthermore, with One-hot Encoding and Multilabelbinarizer, the data is converted into tensors which can then be processed by RNN GRU. The final results show that the model can work equally or better than other algorithms with the same dataset. Keywords: Emotional Recognition, Natural Language Processing, Deep learning, Text Processing, Recurrent Neural Network Share Link | Plain Format | Corresponding Author (Herbert Siregar)

64	Computer Science	ABS-89
THE URGENCY OF IMPLEMENTING ON-DEMAND SERVICE IN STUDENT ACHIEVEMENT DATA COLLECTION SYSTEM, WHY IS IT IMPORTANT? Axel Eldrian Hadiwibowo (a*), Rani Megasari (b) a) UPI (Universitas Pendidikan Indonesia) Jl. Dr. Setiabudhi No. 229, Isola, Sukasari, Bandung City, West Java 40154, Indonesia *sekuniv_upi[at]upi.edu b) Computer Science, Faculty of Mathematics and Science Education Abstract The role of universities to develop student potential is very large. Through the development of student potential, it will produce new achievements or improve the quality/quantity of existing achievements. In addition, student achievement has an important role in validating the quality of a college. However, the importance of student achievement is not proportional to the quality of the existing data collection system. It is unfortunate that many student achievement data are not recorded by universities either because of an inefficient data collection system or the influence of impostor syndrome conditions on students. Through the implementation of on-demand service in the student achievement data collection system, it will create a new style of data collection that is dynamic, flexible, and easy. Students can freely fill in achievements from various fields whenever they want without being fixated on explicit data collection and achievement quality standards. Universities can easily classify achievement data for various purposes such as: selection of outstanding students, research, and potential development. This journal will explain how technology (cloud computing, Google Sheets, Google Apps Script), data management, and the influence of psychological conditions (impostor syndrome) can collaborate to form the concept of on-demand service as the best solution in overcoming the problems that exist in the student achievement data collection system. Keywords: Mahasiswa Berprestasi-On-demand services-Cloud Computing-Google Sheets-Google Apps Script-Data Management Share Link | Plain Format | Corresponding Author (Axel Eldrian Hadiwibowo)

65	Computer Science	ABS-149
Predictive Maintenance of Railways Turnout System Based on Vibration Data Fadhil Hidayat, Soetani, Enrico Rustam School of Electrical Engineering and Informatics Bandung Institute of Technology Smart City Community and Innovation Center Bandung Institute of Technology Abstract A turnout system is an instrument of railroad signaling equipment that directs trains to a specific lane. The turnout system is made up of several parts, including a point machine, a wessel tongue, gears, a wessel handlebar, and electrical components. Because it acts as a motor to move the wessel tongue, the point machine is the most critical component of the turnout system. Failure of a point machine to function can result in a tragic train disaster, hence its condition must continuously be monitored. An Early point machine damage detection, also known as predictive maintenance, must be performed before failure occurs. In this study, the point machine has a gyrometer sensor attached to the outside- the sensor will determine whether the vibrations in the point machine are normal or abnormal. Data is collected by observing the normal state of the point machine and then recreating the abnormal condition of the point machine with a simulation machine. This data was analyzed using Machine Learning, with 80% training data and 20% testing data. The accuracy of Machine Learning techniques such as linear regression, logistic regression, support vector regression, decision trees, random forests, and neural networks is assessed. Keywords: Predictive maintenance, turnout system, point machine, Machine Learning Share Link | Plain Format | Corresponding Author (Fadhil Hidayat)

66	Computer Science	ABS-154
MULTI-CLASS SENTIMENT ANALYSIS USER REVIEWS OF THE HALODOC APPLICATION USING LONG SHORT-TERM MEMORY (LSTM) Eddy Prasetyo Nugroho, Alya Chairunnisa Faz, Ani Anisyah, Erna Piantari, Enjun Junaeti Universitas Pendidikan Indonesia Abstract In the digital era, healthcare service applications like Halodoc have gained significant popularity among the public, and there is undoubtedly a wealth of user feedback available. This feedback is crucial for assessing the service and gaining insights into user satisfaction. Through sentiment analysis, users^ perspectives on the effectiveness of the service and its features can be better understood. LSTM method is effective in addressing long-term dependencies in sequential data, making it suitable for text analysis that requires an understanding of context and the interrelatedness of information in user reviews. Therefore, this research aims to analyze the sentiment of user reviews of the Halodoc application on the Google Play Store and App Store using the Long Short-Term Memory (LSTM) model. Sentiment analysis in this study involves two labels: the first label contains positive and negative classes, while the second label includes eight classes, including fast, helpful, reliable, professional, unprofessional, complicated, complex, and slow. The model^s performance shows variations depending on the number of epochs. In binary cross-entropy, accuracy reaches 99.89%, F1-Score achieves 90.11%, recall is at 93.18%, and precision stands at 87.23% after 50 epochs. Meanwhile, in categorical cross-entropy, the results are slightly lower, with accuracy reaching 98%, F1-Score at 90%, recall at 92%, and precision at 87% after 50 epochs. The LSTM model effectively addresses sentiment analysis of reviews with an understanding of context and long-term data relationships. Keywords: Halodoc, Long Short-Term Memory, Multi-Class, Sentiment Analysis Share Link | Plain Format | Corresponding Author (Alya Chairunnisa Faz)

67	Computer Science	ABS-182
Development of an Organisational Decision Model through the Role of Social Media-Based Business Intelligence Herbert (a*), Munir (a), Ade Sobandi (b), Lala Septem Riza(a) a) Computer Science, Universitas Pendidikan Indonesia, Jalan Setiabudi No.229, Bandung, Indonesia *herbert[at]upi.edu b) Management, Universitas Pendidikan Indonesia, Jalan Setiabudi No.229, Bandung, Indonesia Abstract This research aims to explore a representative business intelligence model and its contribution to decision-making for companies by taking advantage of the abundance of data on social media. Data sources from social media such as YouTube and Twitter are used together with artificial intelligence techniques to obtain valuable information for the company. The series of activities starts from (1) determining the main purpose of data analysis, (2) data collection, (3) data preparation and customisation, (4) business intelligence model development, (5) model evaluation, and (6) conclusion drawing. Based on analysis and testing, this research contributes a business intelligence model to be used as a support for decision-making. The model provides a clear procedure for companies to be able to process data sourced from their external environment. Currently, the resulting model is quite good, especially for small and medium-sized companies. By utilising business intelligence models, companies have additional alternatives to accelerate the achievement of their business goals. Data analysis for companies is now no longer sourced from their internal sources alone, considering that external conditions are currently moving very fast. Changes in consumer behaviour, product or service quality, competitors, and other opportunities can easily be done. The business intelligence model can also be used as a driving force to make changes in the direction of business goals if needed, such as the addition of new business units. Keywords: Decision making- Artificial intelligence- Business Intelligence- Data Analytics, Social Media Share Link | Plain Format | Corresponding Author (Herbert Siregar)

68	Computer Science Education	ABS-29
Computational Thinking Skills Level of Student in Statistics using Computational Thinking Scale Harsa Wara Prabawa- Rizky Rosjanuardi- Elah Nurlaelah Universitas Pendidikan Indonesia Abstract A review of the literature on Computational Thinking has revealed the importance of computational thinking (CT) as an effective approach to problem-solving, especially when associated with the presence of technology as a means to formulate solutions to problems. Using the Computational Thinking Scale (CTS), the purpose of this study is to map the development of students^ computational thinking ability. This research is descriptive in nature. To determine the validity of the scale, a confirmatory factor analysis calculation was conducted. Similarly, the power of differentiation, internal consistency, and the level of stability. The Computational Thinking Scale (CTS) was determined as a valid and reliable instrument to determine the computational thinking ability of undergraduate students, based on the results of data processing. Students^ ability to think computationally was in the medium range, with ^Problem-solving^ and ^Creativity^ as the most dominant factors. In contrast, ^Algorithmic Thinking^ was the factor that was felt to need more attention. This indicates that students should be exposed to more non-routine and non-procedural problem-solving case studies, in order to become more familiar with algorithmic patterns in problem-solving Keywords: Computational Thiking Skills, Computational Thinking Scale (CTS), Confirmatory Factor Analysis (CFA) Share Link | Plain Format | Corresponding Author (Harsa Wara Prabawa)

69	Computer Science Education	ABS-53
Differentiated Learning uses Moodle based on Personalized Learning Jajang Kusnendar (a*), Deni Darmawan (a), Rusman (a) a) Curriculum Development Fakultas Ilmu Pendidikan, Universitas Pendidikan Indonesia Jl. Dr. Setiabudhi No 229 Bandung 40154, West Java, Indonesia Abstract This study aims to describe the application of differentiated learning using the Moodle technology platform through personalized learning. The research method used was descriptive qualitative with the research subject being Vocational High School students in class X in the subject of Informatics Elements of Algorithm and Programming (AP) majoring in Computer Technology and Networks. Teaching materials are developed with the teacher which are derived from Learning Outcomes (CP) into Learning Objectives Flow (ATP), which are then translated into material according to ATP. Personalized learning is used by utilizing the moodle feature in configuring teaching materials which are packaged in three forms of Visual, Auditory, and Kinesthetic (VAK) learning styles. The results of this study indicate that differentiated learning is implemented well according to the following indicators: 1) each student has a preference for their own learning style by expressing their preference for the material presented by the teacher- 2) each student learns material in the form of different teaching materials according to their preferences when studying, and the level of ease of understanding of each material- 3) even so, it was also found that students learned by choosing one of the three materials presented, even all three- 4) student responses stated that they felt facilitated by personalized learning, with general comments being the flexibility of study time, facilitated independent learning according to their individual learning pace, as well as the existence of a choice of teaching material modes that provide choices according to their individual preferences- 5) from the teacher^s perspective, it states that differentiated learning becomes more effective with the help of personalized moodles, especially in managing the diversity of student characteristics, especially if done conventionally, in other cases the teacher can focus on facilitating students who are still lagging behind and simultaneously facilitating students who have reached mastery in learning to learn in enrichment mode. Keywords: differentiated learning, personalized learning, learning style Share Link | Plain Format | Corresponding Author (Jajang Kusnendar)

70	Computer Science Education	ABS-92
Augmented Reality With STEM to Improve Student Learning Outcomes Based on Personalized Learning Erlangga (a*), Erna Piantari (a), Yaya Wihardi (a), Rizki Mukhlis (a) a) Computer Science Education, Faculty of Mathematics and Science Education, Universitas Pendidikan Indonesia Jl Dr. Setiabudi No. 229, Bandung, West Java, Indonesia *erlangga[at]upi.edu Abstract The current learning process students are more emphasized to learn on their own or self-directed learning in accordance with the current curriculum. In addition, creativity in learning is a challenge for individuals in using technology for education, especially in learning media and learning resources used in teaching and learning process. The purpose of this study is to apply STEM (Sciene, Mathematics, Engineering, Technology) using Augmented Reality (AR) to determine the effect and results of student learning activities based on Personalized Learning. The research method used is Pre-Experimental Design in the form of One-Group Pretest-Posttest Design. The test results for increasing student learning outcomes before and after using Augmented Reality (AR) based on Personalized Learning, increased from an average pretest score of 51.6 to 82.67, the posttest results with an average gain value of 0. 64 which is included in the moderate criteria. Student responses using Augmented Reality (AR) based on Personalized Learning very good based on the results of the questionnaire with a percentage value 82.1%. From the test results it can be concluded that Augment Reality (AR) based Personalized Learning very feasible to use so that it can influence student learning outcomes. Keywords: Augmented Reality- STEM (Sciene, Mathematics, Engineering, Technology)- One-Group Pretest-Posttest Design- Personalized Learning- Pre Experimental Design Share Link | Plain Format | Corresponding Author (Erlangga .)

71	Computer Science Education	ABS-93
Inquiry Learning Model in Computer Supported for Collaborative Learning (CSCL) Budi Laksono Putro, Muhammad Biladt Hakim, Rizky Rachman Judhie Putra, Waslaluddin, Eka Fitrajaya Rahman Computer Science Education, Faculty of Mathematics and Natural Science Education, Indonesian University of Education Abstract Learning on excess conceptual material in a short period of time is one of the causes of learning barriers. The Open Systems Interconnection (OSI) model is a fundamental material for students with a Computer and Network Engineering expertise package. However, this material is only considered a theoretical material in computer networks that is complicated, boring, and difficult to learn. The goal of this study is to use an inquiry-based learning model based on Computer Supported Collaborative Learning (CSCL) using a learning management system (LMS) as a learning medium to improve learning outcomes in the cognitive domain on OSI model material. The research methodology was the Smart Learning Environment Establishment Guideline (SLEEG) and the research design was a one-group pretest-posttest. From the results of the study, it was concluded that: 1) LMS received a high score score of 95%, and the learning materials received a high score of 91%. 2) LMS can improve student learning outcomes with an increase from 49.5 to 70.8 on the test results with an average gain value of 0.4, which is included in the medium score, and the results paired T test, which proves that there is a significant difference in student learning outcomes after the treatment is given. 3) LMS received a high score of 73.8% from students respond. Keywords: CSCL, Inquiry Learning Model, OSI Learning, SLEEG Share Link | Plain Format | Corresponding Author (Muhammad Biladt Hakim)

72	Computer Science Education	ABS-94
Flipped Classroom Method To Improve Students Critical Thinking Skills Budi Laksono Putro, Izuardo Zulkarnain, Eka Fitrajaya Rahman, Rizky Rachman Judhie Putra, Waslaluddin Department of Computer Science Education, Faculty of Mathematics and Natural Science Education, Indonesian University of Education Abstract Today^s students have a characteristic interest in technology. Flipped Classroom is a technology-savvy learning app. Flipped classroom for access to material for more flexibility. The teacher^s primary role shifts from the lesson source to the role of the student learning guide. The problem discussed is the difficulty of understanding basic network learning by class XI RPL students at SMKN 2 Cimahi. Learning difficulties include: hard-to-understand material, unattractive instruction, abstract material, lack of media, and no preparation for learning. The solution that students want is an LMS-based learning model flipped classroom. The research objective is to develop a flipped classroom model to improve students^ critical thinking skills. A ^flipped classroom^ model is designed to increase student involvement and the effectiveness of teacher guidance in learning. Moodle Learning Environment is used as an environment for implementing the flipped classroom learning model. Mixed method is a combination of qualitative and quantitative methods used for data analysis. The success of the model is measured on the basis of: functional LMS for the flipped classroom, students critical thinking skills, and students^ learning outcomes. The test results show an increase in value of the LMS function for the flipped classroom, students critical thinking skills, and students learning outcomes. So it can be concluded that the flipped classroom learning model can improve students critical thinking skills.Re-phrase the current sentence. Keywords: Flipped Classroom, Critical thinking, Learning Management System, Cornell Critical Thinking Test Share Link | Plain Format | Corresponding Author (Izuardo Zulkarnain)

73	Computer Science Education	ABS-95
Application of Measurement Compatability of Teaching Style between Teachers for Improving Teaching Quality Budi Laksono Putro, Lilis Sukmawati, Waslaluddin, Rizky Rachman Judhie Putra Computer Science Education, Faculty of Mathematics and Natural Science Education, Indonesian University of Education, Indonesia Abstract Teachers are major players in the learning process. Collaboration between teachers is important in ensuring the quality of learning. Actual conditions indicate that collaboration among teachers is still weak. Obstacles to collaboration between teachers in teaching include the incompatibility of character, teaching experience, and mastery of subjects. This research was conducted on several teachers at SMKN 2 Sumedang, West Java, Indonesia. The objective of this study is to develop an application for the measurement of teaching style matching among teachers in order to improve the quality of teaching. A match of teaching styles between teachers was measured based on the Myers-Briggs Type Indicator (MBTI) personality type, teaching experience, and subjects mastered by the teacher. Analytic hierarchy process (AHP) to measure the weight of assessing the compatibility of teaching among teachers. This research is based on the Smart Learning Environment Establishment Guideline (SLEEG) method. The App successfully calculates the level of a teaching style match between teachers. A match of teaching styles between teachers improves the quality of teaching collaboration. It also impacts the increase in student scores Keywords: Teaching style suitability, MBTI teaching style, Analytic Hierarchy Process (AHP), Teaching quality Share Link | Plain Format | Corresponding Author (Lilis Sukmawati)

74	Computer Science Education	ABS-103
Development of E - Modules as Interactive Learning Multimedia with Discovery Learning Model to Improve Students Cognitive Zsalzsa Puspa Alivia (*a), Wahyudin (b), Muhamad Nursalman a) Computer Science Education, Indonesia University of Education Jalan Dr. Setiabudi No.229, Kota Bandung 40154, Indonesia *salsa_alivia[at]student.upi.edu b) Computer Science Education, Indonesia University of Education Jalan Dr. Setiabudi No.229, Kota Bandung 40154, Indonesia wahyudin_sanusi[at]upi.edu c) Computer Science Education, Indonesia University of Education Jalan Dr. Setiabudi No.229, Kota Bandung 40154, Indonesia mnursalman[at]upi.edu Abstract Learning media that is developed with the right learning model could help students better in comprehending the subject. Less effective learning models, improper equipment and media, student^s enthusiasm are the background of this research. This research is a development research that aims to: (1) Produce e-module as interactive learning multimedia with discovery learning models in printing graphic design subjects to improve students^ cognitive skills. (2) Knowing the feasibility of e-module as interactive learning multimedia with discovery learning models to improve students cognitive skills. This research uses a ADDIE as a development method with stages of analysis, design, development, implementation, and evaluation. The results of this research indicate that: (1) E-module as interactive learning multimedia is stated good and feasible to use with a percentage value of 90.8% including ^Very Good^ category by media experts. (2) E-Module as interactive multimedia can improve students^ cognitive ability with an average gain value 0.61 with the effectiveness criteria ^Medium^. (3) Students responses to the use of E-module as interactive learning multimedia shows a percentage value 96.2% with the category ^Very Good^. Keywords: E-Module, Interactive Learning Multimedia, Discovery Learning, Students Cognitive Share Link | Plain Format | Corresponding Author (Zsalzsa Puspa Alivia)

75	Computer Science Education	ABS-105
Collaborative analytics at CSCL with a focus on collaborative assessment on collaborative learning Budi Laksono Putro, Eka Fitrajaya Rahman, Rachman Judhie Putra, Waslaluddin Computer Science Education Department Faculty of Mathematics and Science Indonesia University of Education Bandung, Indonesia Abstract Collaborative learning in digital environments is a core skill in 21st century skills. Computer-Supported Collaborative Learning (CSCL) is an online learning environment for collaborative learning. Analysis of collaborative processes and activities is an important factor in improving collaborative learning performance in CSCL. Learning Analytics (LA) are an intelligent technology for analysing the effectiveness of collaborative learning. This study develops a collaborative analysis of the effectiveness of collaborative learning processes, behavior and activities in CSCL. Collaborative analytical measures are based on four elements, including sharing resources and ideas, negotiating ideas, regulating problem solving and maintaining positive communication. The test results show that the four components have a positive effect on collaborative learning performance in CSCL. Sharing resources/ideas and maintaining positive communication are the most important factors to improve collaborative learning performance at CSCL Keywords: Learning Analytics (LA), Collaborativ Analytics (CA), Collaborative Learning, Computer-Supported Collaborative Learning (CSCL), 21st century skill Share Link | Plain Format | Corresponding Author (Budi Laksono Putro)

76	Computer Science Education	ABS-153
Development of VLE Learning for Autistic Children for Alphabet Recognition Rasim, Galih Sangra Adiyuga, Munir Universitas Pendidikan Indonesia Abstract Oftentimes we forget that not only do we need a general information, but there are friends or others among us, especially people with special needs also need it. The most basic general information such as what, how much, and how The Shape of the alphabet and letters is also needed by them in order to interact or help their daily lives well. But the problem is that people with special needs need an unusual learning medium so that they can easily understand and remember it correctly for a long time. Therefore, by utilizing virtual reality technology is expected to be an alternative to other learning media that can help those with special needs to learn the alphabet and letters more easily and quickly. In this study will develop a system as the creation of virtual reality alphabet objects that will display the information needed and we can interact in it. Keywords: Virtual Reality, Unity, Alphabet Recognition, Autistic Share Link | Plain Format | Corresponding Author (Rasim Rasim)

77	Computer Science Education	ABS-155
Decision Support System for Determining the Remedial Learning Process for Vocational School Students Using the AHP and TOPSIS Methods Enjang Ali Nurdin, Novi Sofia Fitriasari, Widhi Sundari Universitas Pendidikan Indonesia Abstract The 2013 Curriculum Vocational School Assessment Guide published by the Directorate of Vocational School Development in 2015 states that remedial participants are not only determined based on test scores. Remedial is determined based on knowledge scores, skills scores, attitude scores, and level of learning difficulty. That is why this decision support system application was created. This decision support system was created using a combination of the Analytical Hierarchy Process (AHP) and Technique for Order Preference by Similarity to Ideal (TOPSIS) methods to help determine remedial students. After knowing the remedial participants, the type of remedial learning is determined according to the remedial percentage. The research results show that the use of a decision support system has an influence in determining the number of students who must take remedial treatment. The use of the AHP TOPSIS method reduced the number of remedial student participants by 14.28%. The remedial percentage which was initially 52.4% became 38.1%. This type of remedial learning, which initially requires re-doing classical learning, changes to giving special assignments and exercises. Keywords: Decision Support System, Remedial Learning Process, AHP, TOPSIS, Share Link | Plain Format | Corresponding Author (Enjang Ali Nurdin)

78	Computer Science Education	ABS-167
Analysis of Publication Trends on Artificial Intelligence in Education: A systematic Literature Review Erna Piantari, Dwi Novia Al Husaeni, Ani Anisyah, Erlangga Universitas Pendidikan Indonesia Abstract Artificial Intelligence (AI) is a field of study in computer science that aims to build machines with intelligence similar to that of humans. AI-based technology is currently quite advanced and used in many industries, including education. The application of AI in education is considered to have great potential to improve the quality of the learning process and student learning experiences. Therefore, this research was conducted to determine AI trends in the world of research (journals). A literature review study (SLR) with bibliometric analysis was used to determine the development of publications regarding AI in the last 5 years (2013-2023). The Scopus database was chosen as a tool for collecting article data. In the collection process the terms ^AI^, ^Artificial Intelligence^, ^education^, ^learning^, ^e-learning^, ^smart learning^ were used as search keywords. Based on the research results, it was found that research on AI in the education field has experienced quite significant developments, especially in developing intelligent learning environments and intelligent tutoring systems. Apart from that, from the research results it can be seen that the application of AI in education is supported by various machine learning algorithms and data mining techniques. Although the publishing trend of AI in education has been thoroughly addressed in this study, more research on AI in education is required to completely explore the function, advantages, and impacts of AI in the field of education. Keywords: AI, Artificial Intelligence, Education, smart learning Share Link | Plain Format | Corresponding Author (Erna Piantari)

79	Computer Science Education	ABS-168
Comprehensive Review: Transforming Self-Education through Automatic Question Generation Technology Erry Fuadillah, Lala Septem Riza, Rani Megasari Program Studi Pendidikan Ilmu Komputer Universitas Pendidikan Indonesia Jalan Dr.Setiabudhi No 220 Abstract Automatic question generator (AQG) technology is a system developed to create questions automatically from input in the form of text, images, and videos. AQG has been developed using various approaches such as natural language processing (NLP), statistical approaches, and other machine approaches. AQG has a very important role in the world of education, especially in independent education, because it can be used as a good evaluation medium for students. Utilizing AQG in independent education gives students full control to determine their learning. AQG turns learning into a more interactive experience by generating questions that can trigger critical thinking and problem-solving skills. AQG technology developed in independent learning will encourage students to respond actively to the material and understand concepts more deeply. Approximately 60% of research related to AQG has been conducted for assessment, 18% for knowledge acquisition, and the remainder for validation and other purposes. This research was conducted by conducting a comprehensive review of 63 articles related to AQG in the field of education. Keywords: automatic question generator (AQG), independent education, comprehensive review Share Link | Plain Format | Corresponding Author (Erry Fuadillah)

80	Mathematic	ABS-17
Dynamic Analysis of IS-LM Business Cycle Model with Control Arista Fitri Diana, Shafira Meiria Rahmasari Institut Teknologi Statistika dan Bisnis Muhammadiyah Semarang Sekolah Tinggi Agama Islam Al-Bahjah Cirebon Abstract The IS-LM business cycle model is a financial economics model that uses theory in economic and financial mathematics by applying a deterministic model that forms a dynamic system. The variables in the IS-LM model are income, capital stock, and interest rest. This article will discuss the non-linear function of the investment function, saving function, and money demand function by providing import control and the level of public consumption to increase income. Furthermore, local stability analysis was carried out with the Routh Hurwitz method. Meanwhile, to analyze the optimal control on the model using the Maximum Pontryagin Principle. The numerical results obtained state that the optimal control strategy given can increase revenue Keywords: IS-LM business cycle model, dynamic model, equilibrium point, local stability analysis, optimal control Share Link | Plain Format | Corresponding Author (Arista Fitri Diana)

81	Mathematic	ABS-51
Planning Evacuation Routes in Rise Buildings Using Maximum Dynamic Flow Approach Khusnul Novianingsih, Beriel Ilham, Kartika Yulianti, Sumanang M. Gozali Mathematics Study Program, Universitas Pendidikan Indonesia Abstract Planning evacuation route is one important aspect in disaster management. This research studies a problem to determine optimal evacuation routes in rise buildings. We model the problem to maximize the number of evacuees need to move towards the assembly points in a short period of time. Using maximum dynamic flow approach. The evacuation routes are determined using Temporally Repeated Flows approach based on the Maximum Dynamic Flow Problems. By representing the building as a static network, the shortest routes are calculated from each source node to the destination nodes. Then, the flow distribution is repeated along the chain of the static network for each time unit. We test our model to analyze evacuation route plans in building of FPMIPA A UPI. The results show that the evacuation process will end in 6 seconds and it can evacuate about 2364 evacuees. Thus, it can be concluded that the building of FPMIPA A UPI has a good structure in supporting the evacuation process when a disaster occurs. Keywords: Evacuation Route, Maximum Dynamic Flow Problem, Network, Temporally Repeated Flow Share Link | Plain Format | Corresponding Author (Khusnul Novianingsih)

82	Mathematic	ABS-63
Solving Airline Crew Recovery Problems by Identifying The Existence of Crew Swaps Khusnul Novianingsih Mathematics Study Program, Universitas Pendidikan Indonesia Abstract We investigate a problem for solving airline crew recovery problem efficiently. We present a concept to identify the candidate crew swaps in the operation of airline crew schedules. We show that crew recovery problem can be solved by cancelling disjoint cycles in crew routes. Moreover, candidate crew swaps can also be obtained by finding all possible crew routes that can be constructed from active flights. The existence of a directed cycle in crew networks will inform to us how to swap crew routes. Based on these properties, we propose an algorithm for swapping crew. The computational results show that the algorithm can be implemented to solve crew recovery problems in short period of time. Keywords: crew recovery, crew swap, flight delay, cycle, airline crew schedule Share Link | Plain Format | Corresponding Author (Khusnul Novianingsih)

83	Mathematic	ABS-86
Importance Performance Analysis (IPA) Method For Performance Level Analysis In Aspects Of Population Administration Services Lathifatul Aulia, Ratri Wulandari Institut Teknologi Statistika dan Bisnis Muhammadiyah Semarang Abstract In every aspect of population administration services, the level of performance satisfaction for the community can be known. Based on this study, the author can find out which aspects of service are priorities to be improved through the gap value obtained in the calculation. Gap analysis is a measurement method to determine the gap between the performance of a variable and the expectations of service users on that variable. In this study, the author uses the fuzzy service quality method to analyze the satisfaction of population administration services and uses the Importance Performance Analysis method to measure the relationship between service user perceptions and the priority of improving the quality of population administration services. In the Importance Performance Analysis Method, there are 2 calculations in determining gap analysis, namely looking for the level of suitability and cartesian diagrams. The results of the calculation process show that there are indicators that must be improved or improved population administration services in accordance with their priorities. Keywords: Importance Performance Analysis- ServQual- Fuzzy Number- Defuzzification- Fuzzification Share Link | Plain Format | Corresponding Author (Lathifatul Aulia)

84	Mathematic	ABS-124
Tensor C*-Algebra on Two Qubit Spin-1/2 System Rivani Adistia Dewi (a), Imam Nugraha Albania (b*), Rizky Rosjanuardi (c), Sumanang Muhtar Gozali (d) Mathematics Study Program, Universitas Pendidikan Indonesia Abstract Spin-\frac{1}{2} system is one of the most important phenomenon in quantum mechanics. Such a system is known to be expressed as Pauli matrices, that is \sigma_1=\begin{bmatrix}0 & 1 \\1 & 0 \end{bmatrix}, \sigma_2=\begin{bmatrix}0 & -i \\i & 0 \end{bmatrix}, and \sigma_3=\begin{bmatrix}1 & 0 \\0 & -1 \end{bmatrix}. By inserting the identity matrix I, we can construct a C*-algebra C^{*}({I,\sigma_1,\sigma_2,\sigma_3}) with \mid{I,\sigma_1,\sigma_2,\sigma_3}\otimes{I,\sigma_1,\sigma_2,\sigma_3}\mid=16=\mid{E_ij:i,j=1,2,3,4}\mid, where E_ij is the canonical basis of C*-algebra M_4 (C). In this study, by using the linear independence concept, we got C^{*}({I,\sigma_1,\sigma_2,\sigma_3})\otimes C^{*}({I,\sigma_1,\sigma_2,\sigma_3})\cong M_4 (C). This means, that for any observable in the composite of two spin-\frac{1}{2} systems, it can be expressed by the field reduction from C to R in span⁡{I,\sigma_1,\sigma_2,\sigma_3}\otimes {I,\sigma_1,\sigma_2,\sigma_3} where the structure itself is non-associative algebra. Furthermore, given a Hamiltonian H(t)=(\sigma_1\otimes\sigma_1)+J\sin(\omega t)(\sigma_3\otimes I)+J⁡\sin(\omega t+\frac{\pi}{2})(I\otimes\sigma_3) and the initial state which is a superposition (linear combination) of Bell basis, by using the integration factor method and the commutation fact of the exponential operator, we got the time-dependent state \mid\psi(t)\rangle=\frac{1}{2}(e^{\frac{it}{\hslash}\frac{iJ}{\hslash\omega}\cos(\omega t)\frac{iJ}{\hslash\omega}\sin(\omega t)\nu_{i(5-i)}})_{i=1}^4, with \nu_{ij}=\delta_{(i+j)5}(-1)^{\max{i,j}}, where \delta_{ij} is Kronecker delta. Keywords: Pauli matrices, tensor product, commutation relation Share Link | Plain Format | Corresponding Author (Rivani Adistia Dewi)

85	Mathematic	ABS-129
On c-convex subgroups of direct sums of Z as cyclically ordered groups under the lexicographic order Sumanang Muhtar Gozali, Rizky Rosjanuardi, I.N. Albania Universitas Pendidikan Indonesia Abstract It has been shown that the only non-trivial c-convex subgroup of Z \oplus Z is 0\oplus Z. In this article, it will be presented some conditions of c-convex subgroups of the general direct sums of Z under lexicographic order. Keywords: lexicographic order, cyclically ordered group, c-convex subgroup Share Link | Plain Format | Corresponding Author (Sumanang Muhtar Gozali)

86	Mathematic	ABS-175
Mathematical model for the Shape of a Steady Sessile Drop influenced by insoluble surfactant. Kartika Yulianti, Khusnul Novianingsih, Agus Yodi Gunawan Universitas Pendidikan Indonessia, Institut Teknologi Bandung Abstract In this research, we constructed a mathematical model to describe the influence of a surfactant concentration on the shape of a steady sessile drop, more specifically to the alteration of its contact angle. We used the Young-Laplace equation the shape of drop, and proposed a model for the distribution of the surfactant at the surface. Both equations are combined and then solved numerically. A constant sessile drop volume is a boundary condition in the model. Results show that a concentration of the surfactant on the drop surface causes the value of the drop^s contact angle to be bigger than the free surfactant one. This result corresponds to the fact that the wettability of a substrate can be altered by the surfactant solution Keywords: Drop shape, Surfactant,Young-Laplace Equation Share Link | Plain Format | Corresponding Author (Kartika Yulianti)

87	Mathematic	ABS-177
An Inclusion Property of Discrete Orlicz-Morrey Spaces of Sawano - Sugano - Tanaka^s version Al Azhary Masta1, Endang Cahya Mulyaning2, Siti Fatimah3, Cece Kustiawan4 Mathematics Study Program, Universitas Pendidikan Indonesia, Jl. Dr. Setiabudi 229, Bandung 40154, Indonesia Abstract The Orlicz--Morrey spaces are generalizations of Orlicz spaces and Morrey spaces. There are two types of Orlicz-Morey spaces, namely continuous Orlicz-Orlicz spaces and sequence Orlicz-Orlicz spaces. Furtnermore, there are three versions of Orlicz -Morrey spaces, i.e:Nakai ^s, Sawano -Sugano -Tanaka ^s and Deringoz -Guliyev -Samko ^s versions. The inclusion properties of Orlicz spaces, weighted Orlicz spaces, Morrey spaces, and Orlicz--Morrey spaces, discrete Orlicz-Morrey of Nakai^s version are well known. In this research, we will investigate the inclusion properties of discrete Orlicz - Morrey spaces of Sawano - Sugano - Tanaka^s version. The novelty of this paper is to obtain some sufficient and necessary conditions for the inclusion properties of these spaces. The inclusion properties of these spaces is generalizes inclusion properties of discrete Morrey spaces. One of the key to proof of our results is to use the norm of the characteristic sequence in Z. Keywords: Inclusion property, Orlicz - Morrey spaces, Discrete weak Orlicz - Morrey spaces. Share Link | Plain Format | Corresponding Author (Al Azhary Masta)

88	Mathematic	ABS-178
Generalized Hölder^s Inequality on Generalized Sequence Orlicz Spaces Dasep1,a), Al Azhary Masta2, Encum Sumiaty3, Siti Fatimah4, Cece Kustiawan5, Endang Cahya Mulyaning6, Sofihara Al Hazmy7 1,2,3,4,5,6Mathematics Study Program, Universitas Pendidikan Indonesia, Jl. Dr. Setiabudi 229, Bandung 40154, Indonesia 7Fakultas Matematika dan Ilmu Pengetahuan Alam Militer, Universitas Pertahanan Republik Indonesia, Kawasan IPSC Sentul, Sukahati, Bogor, Jawa Barat 16810 Abstract The Orlicz space was first introduced by Z. W. Birnbaum and W. Orlicz as an extension of the Labesgue space. There are two types of Orlicz spaces, namely continuous Orlicz spaces and sequence Orlicz spaces. Some of the properties that apply to continuous Orlicz spaces are known, as are the properties of sequence Orlicz spaces. The purpose of this study is to discuss the properties that apply to the sequence Orlicz space that also apply to the generalized sequence Orlicz space, especially generalized Holder^s inequlity in sequencer Orlicz spaces. The method in this study uses the properties that apply to the sequence Orlicz space and the s-Young function. Meanwhile, the results of this study show that the properties that apply to the sequence Orlicz space also apply to the generalized sequence Orlicz space by adding other conditions. Keywords: s-convex function, s-Young function, sequence Orlicz space, generalized Holder^s inequality. Share Link | Plain Format | Corresponding Author (Al Azhary Masta)

89	Mathematic Education	ABS-11
Is Differented Learning be A Math Anxiety Solution? Farisa Nur Fikri (a*), Djamilah Bondan Widjajanti (a) a) Faculty of Mathematics and Natural Science, Yogyakarta State University Jl. Colombo Yogyakarta No.1, Kabupaten Sleman 55281, Daerah Istimewa Yogyakarta, Indonesia Abstract Differentiated learning is an educational approach that aims to personalize the learning process in the classroom to each student^s unique learning needs. Teachers have to acknowledge that each student^s learning requirements are unique. The goal of this study is to see if differentiated learning may help students overcome mathematics anxiety. This article is the product of an in-depth study and analysis of 33 of the 135 articles discovered. According to the result of the review, the positive effect of differentiated learning is that it offers learning activities that are appropriate for students^ levels of knowledge and interest, therefore improving student motivation and learning outcomes. It indicates that, ideally, students^ anxiety regarding mathematics can be lessened. However, there are still numerous obstacles to overcome in the classroom. As an outcome, the researcher urges future researchers to conduct further studies on how to effectively implement differentiated learning activities in class. Keywords: Differentiated Learning- Maths Anxiety Share Link | Plain Format | Corresponding Author (Farisa Nur Fikri)

90	Mathematic Education	ABS-14
ETHNOMATHEMATICS: THE IMPACT OF LEARNING MATHEMATICS WITH THE TRADITIONAL ^KUCING RABUN^ GAME ON UNDERSTANDING THE CONCEPT OF CIRCLES Yumiati (a*), Saleh Haji (b), Annisa Al Karimah (c) a) Universitas Terbuka *yumi[at]ecampus.ut.ac.id b) Universitas Bengkulu c) SDN 19 Rejang Lebong, Bengkulu Abstract Students^ understanding of mathematical concepts is influenced by various learning factors, including the learning model used by the teacher. This study aims to determine the impact of learning mathematics using the traditional game ^kucing rabun^ on understanding the concept of circles. The method used is the descriptive method. A sample of 22 students and a population of 65 students of class VI SDN 19 Rejang Lebong, Bengkulu. Data collection techniques used tests (pre-test and post-test) and questionnaires (attitudes and responses). The instrument consisted of 7 questions about circles, 5 objective questions, and 2 essay questions each. The attitude and response instruments each contain ten statements. Data were analyzed qualitatively and quantitatively by using t-test and n-gain. The study results show that learning mathematics using the traditional game ^kucing rabun^ positively impacts understanding the concept of ^circles^ for SDN 19 Rejang Lebong, Bengkulu class VI students. The average score for understanding the concept of ^cartesian coordinates^ for students is 81.2, better than for students taught using conventional learning, which is 72.3. There was an increase in the understanding of ^cartesian coordinates^ of students taught using traditional ^kucing rabun^ game-based mathematics learning of 0.50 (at a moderate increase), greater than conventional learning of 0.23 (at a low increase). Students enjoy learning mathematics using the traditional ^kucing rabun^ game with a score of 4.3 on a scale 5. In addition, students positively appreciate the ^kucing rabun^ game culture of 4.2. Learning mathematics that utilizes traditional games is very well used in instilling mathematical concepts. Keywords: Circle concept, ^kucing rabun^ game Share Link | Plain Format | Corresponding Author (Yumiati Yumiati)

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