2020 International Conference on Applied Science and Technology (iCAST)最新文献

Fuzzy Logic for Automatic Watering System of Smart Agriculture with IoT 物联网智能农业自动浇水系统的模糊逻辑

2020 International Conference on Applied Science and Technology (iCAST) Pub Date : 2020-10-24 DOI: 10.1109/iCAST51016.2020.9557707

M. U. Harun Al Rasyid, Ahmad Syauqi Ahsan, Mukhammad Fatkhun Najaa

{"title":"Fuzzy Logic for Automatic Watering System of Smart Agriculture with IoT","authors":"M. U. Harun Al Rasyid, Ahmad Syauqi Ahsan, Mukhammad Fatkhun Najaa","doi":"10.1109/iCAST51016.2020.9557707","DOIUrl":"https://doi.org/10.1109/iCAST51016.2020.9557707","url":null,"abstract":"Indonesia is an agrarian country that has abundant wealth of resources. Development of technology in the field of agriculture commonly called smart agriculture and based on the Internet of Things (IoT) is also rapidly expanding. The irrigation system in Indonesia is still made traditionally so it is susceptible to damage due to natural disasters or old irrigation systems. During the dry season, farmers desperately need a source of water, when farmers use diesel engines to pump water consequently it takes a greater cost and the volume of water that is blurred sometimes does not fit the needs of plants. This research aims to optimize the natural resources, especially the use of water and facilitate farmers to monitor agricultural land. This study used two sensors, namely temperature and humidity (DHT22 Module) and soil humidity (FC-28 Module). Sensors retrieving the data environment condition are then received and processed on the Raspberry Pi then stored on the cloud database. When the soil moisture condition does not match the target soil moisture value is already determined then the system will send a notification to the user via smartphone. The user can manually perform the watering action. When automatic mode is turned on, the water volume comes out based on the fuzzy logic calculation result as decision making. The results of this study were conducted at different times of morning and daytime which from the study difference time did not affect the output of water volume. During the daytime although soil moisture is more humid then the volume of water will remain according to the calculation based on the parameters of air temperature and soil moisture. Farmers can monitor and view crop conditions where the data results are visualized on web and mobile platforms.","PeriodicalId":334854,"journal":{"name":"2020 International Conference on Applied Science and Technology (iCAST)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124066728","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

Automatic Hull Fracture Detection System Using Template Matching 基于模板匹配的船体断裂自动检测系统

2020 International Conference on Applied Science and Technology (iCAST) Pub Date : 2020-10-24 DOI: 10.1109/iCAST51016.2020.9557676

A. Khumaidi, R. Adhitya, E. Julianto

引用次数: 0

The Comparison of Quality Snapper Selection Results Using WASPAS and WP Methods WASPAS法与WP法选择优质鲷鱼结果的比较

2020 International Conference on Applied Science and Technology (iCAST) Pub Date : 2020-10-24 DOI: 10.1109/iCAST51016.2020.9557684

L. Wanti, O. Somantri

{"title":"The Comparison of Quality Snapper Selection Results Using WASPAS and WP Methods","authors":"L. Wanti, O. Somantri","doi":"10.1109/iCAST51016.2020.9557684","DOIUrl":"https://doi.org/10.1109/iCAST51016.2020.9557684","url":null,"abstract":"The increasing consumption of Indonesian fish makes fishmonger to be selective in presenting quality fish to consumers. This research made to select fish, especially snappers, namely red snapper and white snapper quality using four parameters including fish price, weight, eye color and gill color, into a computer-based decision support system. By using two decision support systems that have been compared; the results are used to determine which methods are the most effective. The purpose of this study is to provide recommendations for the best quality snapper to increase the selling value of the fish. The method used in developing this decision support system is the user-centered design method that accommodates all the needs of the end-user. Modules developed in the decision support system are made so that the users feel comfortable using this decision support system. This study produced an outcome in the form of recommendations from two decision support system method used to select quality snapper. The recommendations are comparable, so that the decision makers know the results by using both the WP method and the WASPAS method.","PeriodicalId":334854,"journal":{"name":"2020 International Conference on Applied Science and Technology (iCAST)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125874128","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

Equal Gain Combining and Time-Reversal Precoding for Underwater Acoustic Communication 水声通信的等增益组合和时间反转预编码

2020 International Conference on Applied Science and Technology (iCAST) Pub Date : 2020-10-24 DOI: 10.1109/iCAST51016.2020.9557588

Y. Widiarti

引用次数: 0

Augmented Reality Mobile Application Base On Marker Object 基于标记对象的增强现实移动应用

2020 International Conference on Applied Science and Technology (iCAST) Pub Date : 2020-10-24 DOI: 10.1109/iCAST51016.2020.9557648

I. Nyoman Gede Arya Astawa, I. Made Ari Dwi Suta Atmaja, N. G. A. H. Saptarini, Sri Andriati Asri, Made Leo Radhitya

{"title":"Augmented Reality Mobile Application Base On Marker Object","authors":"I. Nyoman Gede Arya Astawa, I. Made Ari Dwi Suta Atmaja, N. G. A. H. Saptarini, Sri Andriati Asri, Made Leo Radhitya","doi":"10.1109/iCAST51016.2020.9557648","DOIUrl":"https://doi.org/10.1109/iCAST51016.2020.9557648","url":null,"abstract":"Bali has very diverse tourist objects, including natural tourism, cultural tourism, educational tourism, and marine tourism. The factor that causes Bali to become a mainstay tourist destination in Indonesia is its uniqueness in its tourism objects, both natural tourism and cultural tourism. Besides, complete tourism facilities and infrastructure also support tourism in Bali. Digital-based promotion is also a blessing and a challenge for the tourism industry. It is a blessing when tourist visits increase due to easy, cheap, and efficient access to tourist information. In this study, researchers developed a tourist attraction visualization application using marker-based Augmented Reality (AR) to promote tourism potential to attract tourists to visit. The Augmented Reality (AR) technology offered can describe real tourist objects by packaging potential tourist objects attractively, so that they can provide different experiences and education in understanding each place or tourist attraction visited. The results of system testing determine the reliability of applications made in this study using three tests, namely 99.6% functional suitability, 100% compatibility, and 90.7% usability.","PeriodicalId":334854,"journal":{"name":"2020 International Conference on Applied Science and Technology (iCAST)","volume":"1224 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122357409","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

Nutrient Concentration Control System in Hydroponic Plants Based on Fuzzy Logic 基于模糊逻辑的水培植物养分浓度控制系统

2020 International Conference on Applied Science and Technology (iCAST) Pub Date : 2020-10-24 DOI: 10.1109/iCAST51016.2020.9557617

Nurmahaludin, G. Cahyono, J. Riadi

{"title":"Nutrient Concentration Control System in Hydroponic Plants Based on Fuzzy Logic","authors":"Nurmahaludin, G. Cahyono, J. Riadi","doi":"10.1109/iCAST51016.2020.9557617","DOIUrl":"https://doi.org/10.1109/iCAST51016.2020.9557617","url":null,"abstract":"The purpose of this study was to control nutrient concentrations in hydroponic plants according to predetermined values. If the density is high, dilution is needed, whereas if the density is low, additional nutrients are needed. So far, nutrient concentration monitoring has been carried out using a Total Dissolve Solid (TDS) measuring instrument and done manually. So that if there is a delay, lack or excess of nutrition and water, it will result in not optimal plant growth. The control system uses a controller based on fuzzy logic with the Sugeno method. The input of the controller is error and delta error, while the output of the controller will adjust the angle of the servo motor that drives the nutrient and water valve openings. The test results with an initial concentration value of 400 ppm (below the set point) obtained a settling time at 138 seconds, while the set point was reached at 157 seconds where the output value was 601.26 ppm. For testing with an initial concentration value of 700 ppm (above the set point), the settling time was obtained at 76 seconds and the set point was reached at 143 seconds, namely 601.45 ppm. The system achieves control objectives using a designed fuzzy logic controller","PeriodicalId":334854,"journal":{"name":"2020 International Conference on Applied Science and Technology (iCAST)","volume":"91 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125269051","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

Implementation of Neural Network for the Liver Disease Classification 神经网络在肝病分类中的实现

2020 International Conference on Applied Science and Technology (iCAST) Pub Date : 2020-10-24 DOI: 10.1109/iCAST51016.2020.9557639

Tristan Joseph C. Limchesing, N. Bugtai, R. Baldovino

引用次数: 1

Segmentation of Finger Nails Image based on Image Processing methods 基于图像处理方法的指甲图像分割

2020 International Conference on Applied Science and Technology (iCAST) Pub Date : 2020-10-24 DOI: 10.1109/iCAST51016.2020.9557685

I. Kurniastuti, T. D. Wulan

引用次数: 1

Estimating Village Development Index Based on Satellite Imagery Using Machine Learning Application 基于机器学习的卫星影像村庄发展指数估算

2020 International Conference on Applied Science and Technology (iCAST) Pub Date : 2020-10-24 DOI: 10.1109/iCAST51016.2020.9557623

Candra Dian Purnawanto, Rani Nooraeni, Nucke Widowati Kusumo Projo

引用次数: 1

A Neural Network Approach in Reducing Offset Printing Spoilages on Solid Bleached Boards 一种减少固体漂白板胶印损坏的神经网络方法

2020 International Conference on Applied Science and Technology (iCAST) Pub Date : 2020-10-24 DOI: 10.1109/iCAST51016.2020.9557683

Tristan Joseph C. Limchesing, R. Baldovino, N. Bugtai

{"title":"A Neural Network Approach in Reducing Offset Printing Spoilages on Solid Bleached Boards","authors":"Tristan Joseph C. Limchesing, R. Baldovino, N. Bugtai","doi":"10.1109/iCAST51016.2020.9557683","DOIUrl":"https://doi.org/10.1109/iCAST51016.2020.9557683","url":null,"abstract":"Offset printing is the process in which the image is offset from a plate to a rubber blanket, then following to the printing surface. With the combination of the lithography, which depends on the aversion of oil and water, this technique produces a flat accurate image representation. One of the leading problems for offset printing industries are the spoilages. Spoilages greatly reduce profits due to the unsold rejected products that were produced. With corporations innovating new ways to improve their operations, this study will use an artificial neural network to analyze and predict the spoilage output per job run based on the inputs, ink quality, machine grade, design complexity, and raw material quality. The platform that is used is MATLAB. This software has great neural network capabilities that are widely used around the globe by leading data scientists. Data is obtained in excel format from the company that the researcher has come in contact with. The company has agreed to share some data as long as some of the information such as suppliers and brands that are serviced are not disclosed. The undisclosed information is not significant for the neural network; therefore, the data is sufficient enough to work on. With the results gathered and analyzed from the neural network system, it can be concluded that this research has been able to predict the spoilage output of a job run to a certain extent due to limited data. Recommendations, however, include a better standardization for the inputs, and more data gathered for the database in order to obtain more accurate results.","PeriodicalId":334854,"journal":{"name":"2020 International Conference on Applied Science and Technology (iCAST)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131018346","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