2022 4th International Conference on Cybernetics and Intelligent System (ICORIS)最新文献_第10页

Object Detection on Bottles Using the YOLO Algorithm 基于YOLO算法的瓶子目标检测

2022 4th International Conference on Cybernetics and Intelligent System (ICORIS) Pub Date : 2022-10-08 DOI: 10.1109/ICORIS56080.2022.10031554

Fathi Sei Pahangai Akbar, Steven Yanuar Prasetyo Ginting, Giovanna Cheryl Wu, Said Achmad, Rhio Sutoyo

引用次数: 1

Internet of Things System for Freshwater Fish Aquarium Monitoring and Automation Using Iterative Waterfall 基于迭代瀑布的淡水鱼水族箱监测与自动化物联网系统

2022 4th International Conference on Cybernetics and Intelligent System (ICORIS) Pub Date : 2022-10-08 DOI: 10.1109/ICORIS56080.2022.10031310

Theodorus Ezra Suherman, M. H. Widianto, Zefany Athalia

{"title":"Internet of Things System for Freshwater Fish Aquarium Monitoring and Automation Using Iterative Waterfall","authors":"Theodorus Ezra Suherman, M. H. Widianto, Zefany Athalia","doi":"10.1109/ICORIS56080.2022.10031310","DOIUrl":"https://doi.org/10.1109/ICORIS56080.2022.10031310","url":null,"abstract":"This research aims to develop an IoT system for freshwater fish aquarium owners that can monitor the pH and temperature values of the aquarium water and automatically feed the fish twice a day based on the owner's schedule using their smartphone. The research method is divided into two parts: data collection via literature studies and development via the Iterative Waterfall model. The system utilizes an ESP32 microcontroller, a motor for automatic fish feeding, a waterproof temperature sensor to read the water temperature value, and a color sensor combined with a universal pH strip to read the water pH value. The color sensor can read the strip's color, which will change when immersed in aquarium water, and then the program classifies it into the appropriate pH value. Further research showed that the system passed in all test cases (i.e., pH monitoring test, temperature monitoring test, feeding test, and feeding schedule update test) by using Black Box Testing. The system evaluation revealed that the system could be utilized to maintain freshwater fish in an aquarium.","PeriodicalId":138054,"journal":{"name":"2022 4th International Conference on Cybernetics and Intelligent System (ICORIS)","volume":"51 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":"115974131","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}

引用次数: 2

Sentiment Identification System for E-Commerce Mobile App Reviews Using Single Layer Neural Network 基于单层神经网络的电子商务移动应用评论情感识别系统

2022 4th International Conference on Cybernetics and Intelligent System (ICORIS) Pub Date : 2022-10-08 DOI: 10.1109/ICORIS56080.2022.10031580

Semmy Wellem Taju, Edson Yahuda Putra, G. Mandias

{"title":"Sentiment Identification System for E-Commerce Mobile App Reviews Using Single Layer Neural Network","authors":"Semmy Wellem Taju, Edson Yahuda Putra, G. Mandias","doi":"10.1109/ICORIS56080.2022.10031580","DOIUrl":"https://doi.org/10.1109/ICORIS56080.2022.10031580","url":null,"abstract":"In the technological era, e-commerce offers business opportunities, particularly through the simplicity of the process of buying or selling products through the Internet. The upkeep of the customer experience must be recognized by e-commerce service providers as a top priority for businesses. Customers can access the global market, compare prices across regions, and even easily compare the services of various e-commerce apps. Online customer reviews on e-commerce mobile apps play an important role, which can be used as personal recommendations for other customers. Because customers rely on the opinions of other customers, negative reviews from customers will deter potential users from downloading the e-commerce mobile app in the future. The system described in this paper uses a single-layer neural network to automatically predict and analyze customer sentiments from online customer reviews. The proposed sentiment identification system model achieved the best performance among the algorithms; it attained an overall sensitivity of 96.2%, specificity of 93.8%, accuracy of 95.0%, and MCC of 0.90. Additionally, the researchers developed a fast and reliable web-based system for identifying sentiment from customer reviews.","PeriodicalId":138054,"journal":{"name":"2022 4th International Conference on Cybernetics and Intelligent System (ICORIS)","volume":"83 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":"132079112","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}

引用次数: 0

A Diversity Inventory Monitoring System of Riparian Vegetation 河岸植被多样性清查监测系统

2022 4th International Conference on Cybernetics and Intelligent System (ICORIS) Pub Date : 2022-10-08 DOI: 10.1109/ICORIS56080.2022.10031560

D. P. Putra, Nanda Satya Nugraha, T. Suparyanto, A. A. Hidayat, D. Sudigyo, B. Pardamean

{"title":"A Diversity Inventory Monitoring System of Riparian Vegetation","authors":"D. P. Putra, Nanda Satya Nugraha, T. Suparyanto, A. A. Hidayat, D. Sudigyo, B. Pardamean","doi":"10.1109/ICORIS56080.2022.10031560","DOIUrl":"https://doi.org/10.1109/ICORIS56080.2022.10031560","url":null,"abstract":"To strengthen conservation efforts for preserving biodiversity in a conservation area, forest inventory is important to understand the natural succession process in the area and to establish a monitoring strategy. Further, tree inventory aims to monitor the output yielded in the area. More specifically, the tree inventory in the watershed area plays a key role to achieve Sustainable Development Goals (SDG), especially in riparian zones which are also vital parts of green zones in forests. However, the traditional inventory approach is time-consuming and laborious therefore the development of an expert system to assist in inventory monitoring is required. In this study, we develop a monitoring system via a mobile application to collect, analyze and visualize tree inventory data. The application includes algorithms required to compute tree biodiversity, distribution, and richness for the given input of the data of all tree species in a conservation area. For the model validation stage, we compare the traditional inventory approach with our proposed application-based approach to compute diversity inventory in two riparian locations: Klaten Conservation Park and Wonosobo Conservation Park. After the three-day data collection in the areas, we obtain that the accuracy of reading data of our proposed system can achieve more than 90% in comparison with the manual approach. This demonstrates that the system can assist forestry workers to perform more efficient tree inventories in different locations.","PeriodicalId":138054,"journal":{"name":"2022 4th International Conference on Cybernetics and Intelligent System (ICORIS)","volume":"29 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":"134640614","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}

引用次数: 1

Students Experience Testing in the Implementation of the “Gather Town” Meeting Platform as an Alternative Learning Media other than Zoom Cloud Meeting Application “聚镇”会议平台作为变焦云会议应用之外的另一种学习媒体实施的学生体验测试

2022 4th International Conference on Cybernetics and Intelligent System (ICORIS) Pub Date : 2022-10-08 DOI: 10.1109/ICORIS56080.2022.10031316

Eko Setyo Purwanto, Danielson, Khawen Flawrenxius, Bryan Anderson, Azani Cempaka Sari

引用次数: 0

The Development of A Medical Chatbot Using The SVM Algorithm 基于SVM算法的医疗聊天机器人开发

2022 4th International Conference on Cybernetics and Intelligent System (ICORIS) Pub Date : 2022-10-08 DOI: 10.1109/ICORIS56080.2022.10031400

Ryan Matthew, D. Agustriawan, Mario Donald Bani, Muammar Sadrawi, Nanda Rizqia Pradana Ratnasari, Moch. Firmansyah, A. A. Parikesit

引用次数: 0

Classification of Rice Leaf Diseases Based on Texture and Leaf Colour 基于纹理和叶片颜色的水稻叶片病害分类

2022 4th International Conference on Cybernetics and Intelligent System (ICORIS) Pub Date : 2022-10-08 DOI: 10.1109/ICORIS56080.2022.10031403

E. Mulyani, Hendri Julian Pramana, Lina Listiani, Nor Sm, Restu Adi Wiyono, Firah Putri Pratiwi

{"title":"Classification of Rice Leaf Diseases Based on Texture and Leaf Colour","authors":"E. Mulyani, Hendri Julian Pramana, Lina Listiani, Nor Sm, Restu Adi Wiyono, Firah Putri Pratiwi","doi":"10.1109/ICORIS56080.2022.10031403","DOIUrl":"https://doi.org/10.1109/ICORIS56080.2022.10031403","url":null,"abstract":"Agriculture is a sector that contributes greatly to the Indonesian economy. The role of the agricultural sector in economic development in Indonesia is as a producer of food. The high demand for rice as a staple food in the community requires farmers to be able to produce rice of good quality and in large quantities to meet the needs of the community. One of the factors that affect the quality of rice plants is the attack of pests and diseases. Farmers have difficulty in identifying pests and diseases in rice plants due to limited knowledge. Improper handling of rice plants that are attacked by pests and diseases will result in decreased yields and farmers suffer losses. The problems that occur require a solution so that by designing a modeling of identification of pests and diseases it can be fast and accurate based on the texture and color of the leaves. Disease identification consisted of brown spot and leaf blight using rice leaf imagery using GLCM and K-NN. The results of the application of GLCM feature extraction and classification using the K-NN method are very good with an accuracy rate of 89%.","PeriodicalId":138054,"journal":{"name":"2022 4th International Conference on Cybernetics and Intelligent System (ICORIS)","volume":"124 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":"121866024","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}

引用次数: 1

Communication Signal Network Optimization Model Based On The Concept Of Ubiquitous Clouds 基于泛在云概念的通信信号网络优化模型

2022 4th International Conference on Cybernetics and Intelligent System (ICORIS) Pub Date : 2022-10-08 DOI: 10.1109/ICORIS56080.2022.10031462

Sumarlin Sumarlin, M. Zarlis, S. Suherman, S. Efendi

引用次数: 0

Classify Malaria Dataset Human Blood Images Using Convolutional Neural Networks 使用卷积神经网络对疟疾数据集人类血液图像进行分类

2022 4th International Conference on Cybernetics and Intelligent System (ICORIS) Pub Date : 2022-10-08 DOI: 10.1109/ICORIS56080.2022.10031575

Purnawarman Musa, E. P. Wibowo, M. Hermita, Raihan Firas Muzhaffar

引用次数: 0

An Analysis Air Traffic Prediction During a Pandemic 流感大流行期间空中交通预测分析

2022 4th International Conference on Cybernetics and Intelligent System (ICORIS) Pub Date : 2022-10-08 DOI: 10.1109/ICORIS56080.2022.10031389

Darmeli Nasution, H. Mawengkang, Fahmi, M. Zarlis

引用次数: 0