De Rosal Ignatius Moses Setiadi, Eko Hari Rachmawanto, Rahmawati Zulfiningrum, M. K. Sarker
{"title":"Text Encryption using Transform Dimension, Bit Plane Slicing, and Chaos System","authors":"De Rosal Ignatius Moses Setiadi, Eko Hari Rachmawanto, Rahmawati Zulfiningrum, M. K. Sarker","doi":"10.1109/iSemantic55962.2022.9920413","DOIUrl":"https://doi.org/10.1109/iSemantic55962.2022.9920413","url":null,"abstract":"This study proposes the chaos 2D encryption method for text which is widely used in digital images. For this method, two levels of dimensional transformation are carried out on text messages. The bit-plane slicing operation is performed to separate the entire bit-plane. There are seven bit-planes in plain text. Chaos encryption is performed on all bit-plane messages using different p, q values and iterations to increase security. The values of p, q and the number of iterations are derived from two keys that come from user input and plain text performed by the SHA-256 hash operation. Based on the testing results, the proposed method can improve encryption performance from statistical and differential control. The decryption process can also work perfectly, as evidenced by the value of BER and CER = 0.","PeriodicalId":360042,"journal":{"name":"2022 International Seminar on Application for Technology of Information and Communication (iSemantic)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128340816","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}
Aditya Paramananda, G. F. Shidik, R. A. Pramunendar, M. Soeleman, Muljono Muljono, Yani Parti Astuti
{"title":"Hybrid Neural Network and Evolutionary Model for Detection of Rice Plant Disease","authors":"Aditya Paramananda, G. F. Shidik, R. A. Pramunendar, M. Soeleman, Muljono Muljono, Yani Parti Astuti","doi":"10.1109/iSemantic55962.2022.9920450","DOIUrl":"https://doi.org/10.1109/iSemantic55962.2022.9920450","url":null,"abstract":"Rice production is still the most important thing for food needs in Indonesia. However, rice plants cannot be separated from pests and diseases, especially diseases in rice plants. Rice plant diseases can affect the amount of rice production. From these problems, we need a method that can detect rice plant diseases. In this study, we propose a hybrid model that combines Neural Network and Evolutionary Algorithm models and feature extraction of Gray Level Co-Occurrence Matrix (GLCM) to detect rice plant diseases. In this study, the evolutionary algorithm uses Genetic Algorithm (GA). The proposed method can determine the value of Neural Network parameters including epoch, learning rate, and momentum which can provide the best accuracy value. The image dataset of rice plant disease is used in this study. The experimental results show that the accuracy of the proposed method produces an accuracy of 97.5%. From the results of research on rice plant diseases, this study produces the best accuracy compared to previous studies.","PeriodicalId":360042,"journal":{"name":"2022 International Seminar on Application for Technology of Information and Communication (iSemantic)","volume":"7 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113975018","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}
J. Jumanto, Sarif Syamsu Rizal, Rahmanti Asmarani, Haryati Sulistyorini
{"title":"The Discrepancies of Online Translation-Machine Performances: A Mini-Test on Object Language and Metalanguage","authors":"J. Jumanto, Sarif Syamsu Rizal, Rahmanti Asmarani, Haryati Sulistyorini","doi":"10.1109/iSemantic55962.2022.9920394","DOIUrl":"https://doi.org/10.1109/iSemantic55962.2022.9920394","url":null,"abstract":"This research has explored the discrepancies in online translation-machine performances through a mini-test on object language and metalanguage translation. Within this framework, object language is the verbal language with its literal meaning or denotation, as it factually is, while metalanguage is the language with its figurative meaning or connotation, which results from human creative imagination. The words sitting duck as a duck which is sitting (bebek duduk) is an object language while sitting duck as an easy target (sasaran empuk) is a metalanguage. This research has gone through six methods: online observation, online-machine translation, auto-expert judgment, verification, classification, and interpretation. The discrepancies within this quasi-qualitative research are obtained from verification on four set-up aspects of 10 corpus data, i.e. object language alone, object language within context, metalanguage alone, and metalanguage within context. Upon the analyses of English-Indonesian translation performances by Google Translate, Bing Microsoft Translator, Yandex Translate, and Systran Translate, the high-percentage discrepancies of translation machine performances mostly happen in the translations of metalanguage, while the translations of object language are successful enough with low-percentage discrepancies. Upon the findings of this research, online translation should be developed and improved within the aspects of metalanguage in the target language. Theoretically, the findings propose the inclusion of object language and metalanguage in the online translation machines, while empirically they challenge more metalanguage words to exercise the appropriacy of online translation machines for their better service ahead. This study can also be a research model for other languages in the world in the context of online translationmachine performances.","PeriodicalId":360042,"journal":{"name":"2022 International Seminar on Application for Technology of Information and Communication (iSemantic)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121176765","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}
Shuang Pan, Xichen Xu, Yan Chen, Longhan Xie, Zewei Pan
{"title":"Fatigue Level Prediction of Lower Extremity Knee Flexor and Extensor Muscles using Neural Network","authors":"Shuang Pan, Xichen Xu, Yan Chen, Longhan Xie, Zewei Pan","doi":"10.1109/iSemantic55962.2022.9920419","DOIUrl":"https://doi.org/10.1109/iSemantic55962.2022.9920419","url":null,"abstract":"The purpose of this paper is to build a model to predict the fatigue level of lower extremity knee flexor and extensor muscles based on sensor data. We used maximum voluntary contraction (MVC) to assess the fatigue level of muscles. We collected walking data from six healthy adults at four MVC levels. These data come from sixteen pressure sensors on the insoles and two inertial measurement units (IMUs) on the two feet. Fifty-one gait features were extracted from these data. Through using the ReliefF Algorithm, the fourteen features most relevant to the MVC level were extracted. The accuracy of neural network classifier is 72.7%. This indicates that the selection of features and the use of neural networks is reasonable. This study used fewer sensors and predicted more subdivided fatigue levels than previous studies. Findings from this study can help better understand how fatigue of knee flexor and extensor muscles affect gait characteristics, and further aid in developing an early warning system to prevent knee injuries.","PeriodicalId":360042,"journal":{"name":"2022 International Seminar on Application for Technology of Information and Communication (iSemantic)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114834737","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}
Abdussalam, Elkaf Rachmawan Pramudya, Oki Setiono, M. Muslih
{"title":"Mask Detection Using Convolutional Neural Network","authors":"Abdussalam, Elkaf Rachmawan Pramudya, Oki Setiono, M. Muslih","doi":"10.1109/iSemantic55962.2022.9920415","DOIUrl":"https://doi.org/10.1109/iSemantic55962.2022.9920415","url":null,"abstract":"COVID-19 virus has hit Indonesia since early March 2020. One of the government’s efforts to prevent the spread of COVID-19 is to do physical distancing to require people to wear masks when doing activities outside the home. One way to overcome this problem is by detecting mask users to be more obedient and obedient to the rules, then the identification process is carried out for mask users and those who do not use masks. The process is carried out using the Convolutional Neural Network method. CNN is known to be superior and does not require pre-processing so it saves more time. In terms of algorithmic competence, CNN is considered capable of carrying out the data detection process well. Of the 1376 datasets used, 30 epochs, accuracy = 0.988, recall = 0.990, precision = 0.987, and F1 = 0.988 with the required detection time for each image between 4 to 5 seconds.","PeriodicalId":360042,"journal":{"name":"2022 International Seminar on Application for Technology of Information and Communication (iSemantic)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114671472","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}
Randy Antonio, Nadya Tyandra, Linggar Tembus Nusantara, Anderies, Alexander Agung Santoso Gunawan
{"title":"Study Literature Review: Discovering the Effect of Chatbot Implementation in E-commerce Customer Service System Towards Customer Satisfaction","authors":"Randy Antonio, Nadya Tyandra, Linggar Tembus Nusantara, Anderies, Alexander Agung Santoso Gunawan","doi":"10.1109/iSemantic55962.2022.9920434","DOIUrl":"https://doi.org/10.1109/iSemantic55962.2022.9920434","url":null,"abstract":"Customer service plays a crucial role for a company. As an important aspect of e-commerce companies, they would be required to directly interact and try to solve customers’ problems that might occur anywhere and anytime. However, the limitation of human man hours became a barrier to overcome customers’ problems. On one hand, the rapid development of technology was predicted to replace the traditional human customer service with an Artificial Intelligence agent. On the other hand, this replacement affects the customer satisfaction. This paper performed a study literature review to discover the effect of chatbots and its impact towards customer satisfaction. In an e-commerce customer service use case, chatbots could be implemented in a number of methods. The methods implemented by chatbots are avatar-based, verbal-based, text-based, and menu-based. Research showed that text-based chatbot is the most commonly used methodology and has advanced the most, where some are implementing higher level machine learning methods, such as deep learning. The usage of such chatbot in e-commerce customer service systems will lower the cost but might also lower customer satisfaction, due to reasons such as unsatisfying answers and inhuman behavior. Research showed that even a more sophisticated chatbot doesn’t always mean higher customer satisfaction, even with high accuracy ratings. To look into customer satisfaction, this paper has identified 4 aspects of a chatbot that are relevant to customer satisfaction, which are privacy, reliability, personalization, and responsiveness. Chatbots currently excel in some of these quality measures, but require further research to effectively replace human customer service agents.","PeriodicalId":360042,"journal":{"name":"2022 International Seminar on Application for Technology of Information and Communication (iSemantic)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121027529","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}
Afu Ichsan Pradana, Supriadi Rustad, G. F. Shidik, Heru Agus Santoso
{"title":"Indonesian Traffic Signs Recognition Using Convolutional Neural Network","authors":"Afu Ichsan Pradana, Supriadi Rustad, G. F. Shidik, Heru Agus Santoso","doi":"10.1109/iSemantic55962.2022.9920448","DOIUrl":"https://doi.org/10.1109/iSemantic55962.2022.9920448","url":null,"abstract":"A traffic violation is one of the reasons for the increasing mortality every year. Traffic Sign Recognition (TSR) is an important component within the scope of Advanced Driver Assistance System (ADAS) and autonomous vehicles, which concern the problem of Traffic Sign Classification (TSC) and Traffic Sign Detection (TSD). The detection system of traffic signs purpose is to warn the driver about the traffic condition they will pass, so it can help the driver to decrease the accident. The traffic signs in every country have different shapes and colors, so the traffic signs have wide variability. This paper shows a traffic signs classification study using a Convolutional Neural Network (CNN). The data is from the traffic signs in Indonesia which consist of 41 traffic signs. The model proposed has shown good enough performance in which the accuracy score is 93% and the average F1-score is 94% in the recognition of traffic signs in Indonesia.","PeriodicalId":360042,"journal":{"name":"2022 International Seminar on Application for Technology of Information and Communication (iSemantic)","volume":"104 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127478938","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 Transition of Independent Bookselling to Digital Space: A Case Study of Transit Bookstore’s Instagram","authors":"Paramita Ayuningtyas, L. A. Saraswati","doi":"10.1109/iSemantic55962.2022.9920368","DOIUrl":"https://doi.org/10.1109/iSemantic55962.2022.9920368","url":null,"abstract":"Many industries experience and struggle with financial hardship during the global COVID-19 pandemic, including bookselling industry. Due to the imposed lockdown and stay-at-home orders, retail bookstores had to transform their selling method to online selling. This study investigates the issue further by focusing on independent bookstores, specifically the shift from physical space to digital space. A case study is conducted on one independent bookstore based in Jakarta, namely Transit Bookstore. This paper discusses what kind of challenges that occur, the strategies they apply to adapt, and how they use Instagram during the pandemic. The data are collected by conducting a mixed method (textual-visual analysis and semi-structured interview) and then analyzed using qualitative approach. The result shows how by incorporating social media into their operations, Transit Bookstore manages to not only sell and promote their books but also engage with the reading community and create a new book buying experience. The objectives of this paper are to make a significant contribution to the discussion of independent bookstores in Indonesia and to offer a new perspective on the impact of social media for independent bookselling.","PeriodicalId":360042,"journal":{"name":"2022 International Seminar on Application for Technology of Information and Communication (iSemantic)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123627664","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}
Yohanssen Pratama, I. G. Eka Dirgayussa, Eglin Noverinda Situmeang, Tegar Arifin Prasetyo
{"title":"Design and Implementation of the Irrigation Robot Movement System on Grid Land using 2D Array Algorithm","authors":"Yohanssen Pratama, I. G. Eka Dirgayussa, Eglin Noverinda Situmeang, Tegar Arifin Prasetyo","doi":"10.1109/iSemantic55962.2022.9920370","DOIUrl":"https://doi.org/10.1109/iSemantic55962.2022.9920370","url":null,"abstract":"Currently, the use of robots in agriculture is one of the studies carried out by many researchers. The ability of a robot that can consistently work will make it easier to monitor and water agricultural crops, in addition to the nutrient requirements of plants. There are several parameters that must be considered consistently every day so that plants can grow optimally, namely soil moisture, the amount of water needed by plants, and spacing, so as to produce a maximum broccoli harvest with good quality. This study, study was conducted on the design and implementation of an irrigation robot movement system to monitor the growth of broccoli plants. This irrigation robot has the ability to do watering, and plant monitoring and can move directly to the work point automatically. This irrigation robot is designed using a 2D array algorithm so that the irrigation robot is able to move to a predetermined coordinate point, to enable the robot to move according to the coordinates, the land planted with broccoli will be divided into grids. Testing the functionality of the robot is done by giving a step to the stepper motor and dividing the land with a box width of 7.5 cm on the land prototype. Based on the implementation results obtained 97% accuracy for movement on the x-axis, 99% for movement on the y-axis, and 100% for the z-axis. The robot has worked well and fulfilled the expected functionality to carry out the task of moving the robot to coordinates for monitoring and watering plants.","PeriodicalId":360042,"journal":{"name":"2022 International Seminar on Application for Technology of Information and Communication (iSemantic)","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125225511","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":"Improving SMEs Skills in Indonesia to Support Export with E-Learning Culture Academy","authors":"Hendriansyah Hendriansyah, E. Udayanti","doi":"10.1109/iSemantic55962.2022.9920366","DOIUrl":"https://doi.org/10.1109/iSemantic55962.2022.9920366","url":null,"abstract":"This study targets to (a) describe the internationalization approach of SMEs in the export-oriented product of Culture Academy, (b) become aware of the strengths, weaknesses, opportunities, and threats of the internationalization process of the export-oriented creative industries of SMEs, mainly in the product of Culture Academy The method used in this research is a SWOT analysis with an internal-external matrix FAS & EFAS) to four SMEs, which are 10 key informants of exporter Product of culture academy. The outcomes show that Product of culture academy has desirable strengths and opportunities to enhance its international processes. Based on interior and exterior factors, these SMEs are in a growth function (in caution condition). The appropriate internationalization method to be developed is the SO. ST, WO, and WT strategy, that is: adding online advertising and marketing networks (or different collectors), diversifying merchandise past the main product, optimizing the position of associations associated to product transport cooperation, enhancing technological know-how skills or independently studying and lobbying the authorities regarding the ease of export policies conditions.","PeriodicalId":360042,"journal":{"name":"2022 International Seminar on Application for Technology of Information and Communication (iSemantic)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131341443","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}