2022 4th International Conference on Cybernetics and Intelligent System (ICORIS)最新文献

{"title":"Development of Techniques for Speech Emotion Recognition (SER) In the Context of Deep Learning","authors":"Budi Triandi, H. Mawengkang, S. Efendi, Syawaluddin","doi":"10.1109/ICORIS56080.2022.10031385","DOIUrl":"https://doi.org/10.1109/ICORIS56080.2022.10031385","url":null,"abstract":"Understanding emotions from voice signals is a crucial yet difficult aspect of human-computer interaction (HCI). Many methods, including many well-known speech analysis and classification methods, have been used to extract emotions from signals in the literature on speech emotion recognition (SER). Deep learning methodologies have recently been presented as a replacement to traditional SER procedures. This paper presents an overview of deep learning algorithms for speech-based emotion recognition and evaluates some recent work that makes use of these methods. The review discusses the databases used, the emotions retrieved, the advancements made in voice emotion recognition, and its limits.","PeriodicalId":138054,"journal":{"name":"2022 4th International Conference on Cybernetics and Intelligent System (ICORIS)","volume":"33 7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131478186","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evaluation of Elearning Using the Human Organization Technology (HOT) Model","authors":"Erfan Hasmin, Nurul Aini","doi":"10.1109/ICORIS56080.2022.10031447","DOIUrl":"https://doi.org/10.1109/ICORIS56080.2022.10031447","url":null,"abstract":"In its implementation, e-learning requires development to make it easier for users, in this case, lecturers and students, to use e-learning in the online learning process. So that the use of the Human Organization Technology (HOT) evaluation model Fit model is a complete model and most appropriate to the conditions of the problems in this study. The main focus of research is directed at the relationship between the human (human) aspect as a user consisting of system use and user satisfaction, the organizational part consisting of organizational structure and environment, technology aspect consisting of system quality, information quality, and service quality, the results of this study show that the relationship between the Organization (ICT Unit) as an e-learning service provider has interacted quite well with users in the context of developing e-learning systems. It is necessary to develop further the relationship between the Organization (ICT Unit) and e-learning users (students and lecturers).","PeriodicalId":138054,"journal":{"name":"2022 4th International Conference on Cybernetics and Intelligent System (ICORIS)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131028190","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Smart Lighting System for Children's Therapy to Prevent Nyctophobia Syndrome at Bedtime","authors":"A. Pramono, B. Munir, Muchammad Farchan, S. Budiman, Baskoro Azis, W. W. Putra","doi":"10.1109/ICORIS56080.2022.10031394","DOIUrl":"https://doi.org/10.1109/ICORIS56080.2022.10031394","url":null,"abstract":"Everyone has a fundamental desire for sleep. By sleeping, humans can conserve energy and replenish their stamina to optimal levels. Lighting is one component that influences the quality of a person's sleep. One of them is a person who sleeps with the lights on, suffers from nyctophobia, has poor sleep quality, and may be responsible for several illnesses. This study aims to develop a smart lighting device that will aid in treating youngsters with nyctophobia to get used to sleeping with the lights off to improve their sleep quality. The case study methodology used in this study entails the development of a prototype. This method employs an oximeter as a heart rate detector and a sensor comparison as the measurement device. Arduino Uno circuit and heart rate sensor are the main devices in this research. At the same time, the NRF 24L01 is a communication medium between the two Arduino Uno boards. The experimental measurements in normal conditions indicate that the heart rate sensor was nearly the same as the value displayed by the oximeter. Similarly, after running for 1 minute, both devices produced almost identical results, with an average difference of 1 Beats Per Minute (BPM). According to experiments with a heart rate sensor, the switch-off condition can be activated if the heart rate hits 90 BPM. In this case, the light will switch off once the heart rate hits 70 BPM, which might be used for sleeping individuals.","PeriodicalId":138054,"journal":{"name":"2022 4th International Conference on Cybernetics and Intelligent System (ICORIS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133641259","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Classification of Indonesian Music Genres Using the Support Vector Machine Method","authors":"Yuni Yuniar, D. Alamsyah, Asti Herliana","doi":"10.1109/ICORIS56080.2022.10031473","DOIUrl":"https://doi.org/10.1109/ICORIS56080.2022.10031473","url":null,"abstract":"Music is one of the fields that has many enthusiasts in Indonesia. This is because music has a lot of good influence on the Indonesian people. Of course, every Indonesian people's tastes in music are different, and sometimes there are always people who don't recognize the genre of music because they have similarities in several things. The purpose of this research is to classify Music Genres to help the public recognize the Music Genres that exist in Indonesia. The method used is the Support vector machine method where this method has a way of working by inserting the kernel concept into a high-dimensional space. The results of this study are 87% Classification Accuracy with 8 classes, namely Genres Pop, Jazz, Dangdut, R&B, Reggae, Religion, Ska, and Rock.","PeriodicalId":138054,"journal":{"name":"2022 4th International Conference on Cybernetics and Intelligent System (ICORIS)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114210706","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Web-based Application for Searching the Event Organizers with Provided Audiences by Using Recommender System Method","authors":"B. Yulianto, Rita Layona, Yovita Tunardi","doi":"10.1109/ICORIS56080.2022.10031550","DOIUrl":"https://doi.org/10.1109/ICORIS56080.2022.10031550","url":null,"abstract":"An obstacle that is often faced by event owners (such as TV show) is finding a suitable event organizer that can provide many audiences at once. Some examples of events that require large audiences are talk shows, reality shows, game shows, fashion shows, variety show, exhibitions, and bazaars. These audiences are generally paid-audiences recruited by the event organizer. Large audiences are needed to show the high enthusiasm of the community for the event being held. The purpose of this research is to develop a web-based application that allows event owners to find an event organizer who can also provide large audiences through the recommender system method. The application development method used is Waterfall, and the data collection methods used are questionnaire, observation, and interview. The conclusion of this research is that this application makes it easy and helps event owners to find an event organizer that can also provide large audiences with certain criteria.","PeriodicalId":138054,"journal":{"name":"2022 4th International Conference on Cybernetics and Intelligent System (ICORIS)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114077742","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Committee of ICORIS 2022","authors":"","doi":"10.1109/icoris56080.2022.10031353","DOIUrl":"https://doi.org/10.1109/icoris56080.2022.10031353","url":null,"abstract":"","PeriodicalId":138054,"journal":{"name":"2022 4th International Conference on Cybernetics and Intelligent System (ICORIS)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129875044","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Design of Collaborative Cloud ClassRoom (CCCR) for Ethno-Flipped Classroom Teaching Model","authors":"R. Ramadhani, Edi Syahputra, Elmanani Simamora, Abdul Meizar","doi":"10.1109/ICORIS56080.2022.10031557","DOIUrl":"https://doi.org/10.1109/ICORIS56080.2022.10031557","url":null,"abstract":"The integration of Information and Communication Technology (ICT) is growing in the education sector, particularly in mathematics learning. The integration of ICT is also adjusted to the applied learning model. One of the technology-integrated learning models is the ethno-flipped classroom model. Mathematics learning based on the ethno-flipped classroom model strengthens the interactive discussion and collaboration activities between students and teachers both inside and outside the classroom learning stage. However, the available platforms have not provided flexibility in the implementation of interactive and collaborative discussion activities. This study aims to develop a prototype cloud-based learning technology platform system called Collaborative Cloud ClassRoom. The system is developed in PHP using the CodeIgniter framework and MySQL database. This research is development research with a Waterfall model limited to the non-functional testing stage of the developed system. The results show that the Collaborative Cloud ClassRoom prototype system passed the non-functional testing (75.85%, exceeding the lower limit − 70%) which means the tested items are valid, and can be referred to as prototype-1 and is feasible for further testing. This research is a pilot study to be further developed at the advanced development stage for expert and practitioner testing before the system design is ready for field trials.","PeriodicalId":138054,"journal":{"name":"2022 4th International Conference on Cybernetics and Intelligent System (ICORIS)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127795965","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Fire Detection based on Smoke Image using Convolutional Neural Network (CNN)","authors":"Jefri Zulkarnain, Mohammad Rezza Pahlevi, Yustikamasy Astica, Widi Pangestuti, Kusrini","doi":"10.1109/ICORIS56080.2022.10031410","DOIUrl":"https://doi.org/10.1109/ICORIS56080.2022.10031410","url":null,"abstract":"Forest fire is a natural disaster that is difficult to control and has a very wide scope that threatens forest ecosystems [1]. In Indonesia itself, forest area decreases every year, one of the causes of the reduction in forest area in Indonesia is forest fires and illegal logging. On this basis, a remote fire detection system is designed and can monitor large forest areas so that problems caused by fires can be minimized. The existing technology in computer vision is a combination of image processing and pattern recognition. The results show that the convolutional neural network has good performance in the field of image processing and obtains architectural optimization in its area. In the smoke image detection research, the accuracy results are very good, namely 99.72% using the Convolutional Neural Network method.","PeriodicalId":138054,"journal":{"name":"2022 4th International Conference on Cybernetics and Intelligent System (ICORIS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127851109","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"New Student Prediction Using Algorithm Naive Bayes And Regression Analysis In Universitas Potensi Utama","authors":"Elsa Aditya, Z. Situmorang, B. Hayadi, M. Zarlis, Wanayumini","doi":"10.1109/ICORIS56080.2022.10031391","DOIUrl":"https://doi.org/10.1109/ICORIS56080.2022.10031391","url":null,"abstract":"Universitas Potensi Utama has various study programs, and also has various facilities to support student learning activities. However, the main obstacle in higher education is the uncertainty of the interest of students who register, so that sometimes the facilities are inadequate. To overcome these problems, there must be activities to predict prospective new student applicants to improve facilities and interest of prospective students to choose to study at the Universitas Potensi Utama. Forecasting is the most important thing that must be applied to a company. With this forecasting, companies can see the opportunities that exist to generate sales predictions in the future based on the results of past sales data. Naive Bayes is a classification using probability and statistical methods, the Naive Bayes algorithm can be used in scientific fields, one of which is predicting future opportunities based on previous experience. Linear regression method can be used for forecasting with the assumption that the correlation between variables will continue in the future. Linear Regression is a Regression Method where the resulting equation is linear. Based on the resulting equation, predictions can be calculated by entering the values of the predictor variables in the equation. Based on this process, the predictive value of the response variable can be generated. In this study, the author explains more about how to determine new student predictions using a combination of the two algorithms where the Naïve Bayes algorithm is used to state which study programs have a lot of interest in the coming year, and the Linear Regression algorithm is used to show which study programs are most in demand based on the number of students who registered in the previous year, In the description that has been stated above, the author makes a paper with the title: “Predictions of New Student Registration Using the Naive Bayes Algorithm and Regression Analysis at the Universitas Potensi Utama”.","PeriodicalId":138054,"journal":{"name":"2022 4th International Conference on Cybernetics and Intelligent System (ICORIS)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128758831","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Generalization of Public Key Cryptosystem Based on Singular Matrix Using Ring of Integer Modulo","authors":"Maxrizal, B. D. A. Prayanti, Sujono","doi":"10.1109/ICORIS56080.2022.10031349","DOIUrl":"https://doi.org/10.1109/ICORIS56080.2022.10031349","url":null,"abstract":"In this research, we modify the cryptosystem from a ring over an integer to an integer modulo m. In the previous research, the researcher used a singular matrix over integers so that the plaintext and ciphertext spaces became relatively large. For this reason, in this study, we limit the ring over the integer to the ring over integer mod m. We provide proposed modifications and simulations of key generation protocol, encryption and description. The results show that the proposed public key cryptosystem can work well and remain safe from mathematical attacks that hackers may carry out. The use of modulo m can also limit the plaintext and ciphertext space. In addition, the concept of modulo m makes the message more random and difficult to guess.","PeriodicalId":138054,"journal":{"name":"2022 4th International Conference on Cybernetics and Intelligent System (ICORIS)","volume":"100 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128935692","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}