2022 International Seminar on Application for Technology of Information and Communication (iSemantic)最新文献

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Spoofing Detection of Fake Speech Using Deep Neural Network Algorithm 基于深度神经网络算法的虚假语音欺骗检测
Kristiawan Nugroho, E. Winarno
{"title":"Spoofing Detection of Fake Speech Using Deep Neural Network Algorithm","authors":"Kristiawan Nugroho, E. Winarno","doi":"10.1109/iSemantic55962.2022.9920401","DOIUrl":"https://doi.org/10.1109/iSemantic55962.2022.9920401","url":null,"abstract":"Spoofing is a challenging research topic in Speaker Recognition. Spoofing, among others, can use fake speech, especially in the form of voice identity falsification or fraud, which is a problem that must be resolved. Various classification methods in Data Mining have been used in research to detect spoofing. However, The low level of accuracy, especially in managing large data, is an obstacle to using this approach. Deep Neural Network (DNN) is one of the methods in Deep Learning that is often used in research that processes extensive data. The DNN approach is proven to have good performance. This study uses the DNN method in detecting the authenticity of the speaker's voice. The results show that DNN is a method that has good performance in detecting fake speech spoofing with a model accuracy rate of 96.5%, 97.3% precision, 96.5% recall, and 96.7% F1 Measure.","PeriodicalId":360042,"journal":{"name":"2022 International Seminar on Application for Technology of Information and Communication (iSemantic)","volume":"200 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":"121318395","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
Performance Analysis of Deep Learning Models for Sweet Potato Image Recognition 红薯图像识别的深度学习模型性能分析
Arkansyah Putra Wibowo, D. Setiadi
{"title":"Performance Analysis of Deep Learning Models for Sweet Potato Image Recognition","authors":"Arkansyah Putra Wibowo, D. Setiadi","doi":"10.1109/iSemantic55962.2022.9920423","DOIUrl":"https://doi.org/10.1109/iSemantic55962.2022.9920423","url":null,"abstract":"Current technological developments make human work increasingly automated. Computer vision has widely used deep learning to help humans recognize objects. TensorFlow is a form of CNN model that is widely used to implement computer vision. In this research, the performance of four TensorFlow models was tested to recognize yellow sweet potatoes and Cilembu, which have many similarities and are not easily distinguished by ordinary people. These two types of sweet potatoes need to be determined because they significantly differ in economic value. The four TensorFlow models tested were MobileNetV1 FPN SSD, MobileNetV2 SSD, MobileNetV2 FPNLITE SSD, and EfficientDet-D0. Based on the test results, the MobileNetV1 FPN SSD model has the best precision in all classes and has good accuracy in the yellow sweet potato class. But the performance is too lame on Cilembu sweet potato and requires the longest training time. Meanwhile, the most stable performance based on precision, accuracy, and recall is the EfficientDet-D0 model. The training process is also faster than the MobileNetV1 FPN SSD.","PeriodicalId":360042,"journal":{"name":"2022 International Seminar on Application for Technology of Information and Communication (iSemantic)","volume":"74 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":"114881793","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
Food Horticultural Supply Chain Performance Efficiency using Hybrid Model: SCOR - System Dynamic Simulation 基于混合模型的食品园艺供应链绩效效率:SCOR -系统动态仿真
R. Yusianto, Casnan Casnan, Usman Sudibyo, Marimin Suprihatin, H. Hardjomidjojo
{"title":"Food Horticultural Supply Chain Performance Efficiency using Hybrid Model: SCOR - System Dynamic Simulation","authors":"R. Yusianto, Casnan Casnan, Usman Sudibyo, Marimin Suprihatin, H. Hardjomidjojo","doi":"10.1109/iSemantic55962.2022.9920367","DOIUrl":"https://doi.org/10.1109/iSemantic55962.2022.9920367","url":null,"abstract":"Today's highly competitive and dynamic business environment has forced horticultural food commodity farmers to implement better supply chain management (SCM) strategies. An essential aspect of SCM is how farmers and collectors can detect changes in supply chain (SC) behavior; these changes affect the efficiency of SC performance. This study aims to improve food horticultural SC performance efficiency. We propose a hybrid method using the supply chain operation reference (SCOR) and system dynamics simulation. To illustrate the methodology, we use a case study of the potato agroindustry in Wonosobo District, Central Java, Indonesia. The results show that the SC performance measurement consists of six perspectives, namely Plan, Source, Make, Deliver, Return, and Enable, with 23 KPIs. The SC value in January - March 2022 is 71.01%, meaning that the average measurement results are in a suitable category. The best scenario we propose is Scenario I, which is a reduction in indirect performance labor costs of IDR 600,000 in three months and an increase in efficiency of 11.08%. For further research, researchers can use this method to increase efficiency in the food processing industry made from food horticultural commodities.","PeriodicalId":360042,"journal":{"name":"2022 International Seminar on Application for Technology of Information and Communication (iSemantic)","volume":"22 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":"114780582","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
Image Processing in 3D Printing Application: Study Case of Liver Organ 图像处理在3D打印中的应用:以肝脏器官为例
Putri Heriyadi, Menik Kurniatie, T. Asmaria, Dita Ayu Mayasari
{"title":"Image Processing in 3D Printing Application: Study Case of Liver Organ","authors":"Putri Heriyadi, Menik Kurniatie, T. Asmaria, Dita Ayu Mayasari","doi":"10.1109/iSemantic55962.2022.9920412","DOIUrl":"https://doi.org/10.1109/iSemantic55962.2022.9920412","url":null,"abstract":"Because of the quick pace of growth, 3D printing is creating new teaching and learning tools for medical education. The method of transforming digital objects into genuine physical models from a CT-Scan in order to show anatomical structures is known as 3D printing. This study makes use of CT-Scan results from hepatic body sections that will be transferred into Digital Imaging and Communications (DICOM) format. It is then segmented with 3D Slicer software, saved as a Standard Triangulation Language (STL) file, and printed with Poly Lactic Acid (PLA). Testing 3D printing by measuring length, width, height, and volume with callipers. The measurement used in 3D printing is useful so that the produced organs match the imaging data and can be used by medical students as learning media.","PeriodicalId":360042,"journal":{"name":"2022 International Seminar on Application for Technology of Information and Communication (iSemantic)","volume":"47 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":"116816315","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
Defect Detection of Agricultural Commodities using Image Processing and Artificial Neural Networks 基于图像处理和人工神经网络的农产品缺陷检测
H. Suprijono, Etika Kartikadarma, R. Yusianto, Marimin Marimin
{"title":"Defect Detection of Agricultural Commodities using Image Processing and Artificial Neural Networks","authors":"H. Suprijono, Etika Kartikadarma, R. Yusianto, Marimin Marimin","doi":"10.1109/iSemantic55962.2022.9920445","DOIUrl":"https://doi.org/10.1109/iSemantic55962.2022.9920445","url":null,"abstract":"Production losses of agricultural commodities on agricultural land due to product defects depend on the level of pest and disease attacks. Defects cause the product not to be harvested or rejected by the market. Data from the Ministry of Agriculture of the Republic of Indonesia in 2021 shows the percentage of defective products for this commodity is 5%. This study aims to detect defects in agricultural products using image processing and artificial neural networks. We used the screening threshold method with potato research samples from Dieng, Indonesia. The study results for spot defects showed that from 100 training data, there were five incorrect identification data, so the accuracy of the training process was 95%. At the same time, the hole defect accuracy is better, which is 97%. It shows that defects in agricultural commodities can be detected using this method. For further research, the development of agricultural product sorting can combine sorting techniques with this method.","PeriodicalId":360042,"journal":{"name":"2022 International Seminar on Application for Technology of Information and Communication (iSemantic)","volume":"53 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":"129463608","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
Product and Process Design Through TOPSIS System Analysis Under Industry 4.0 Platform Application 工业4.0平台下基于TOPSIS系统分析的产品与工艺设计
Yen Wen, Wun-Hwa Chen
{"title":"Product and Process Design Through TOPSIS System Analysis Under Industry 4.0 Platform Application","authors":"Yen Wen, Wun-Hwa Chen","doi":"10.1109/iSemantic55962.2022.9920398","DOIUrl":"https://doi.org/10.1109/iSemantic55962.2022.9920398","url":null,"abstract":"This research proposed three hypotheses to emphasize the key factors of corporation development by introducing the TOPSIS system analysis methodology. Due to the ambiguity of decision supporting criteria that would lead to improper decision issues, the proposed framework will help decision-makers evaluate priorities. Equipped with the data analysis system, corporations can expand their automation configuration. The verification of the weighting system construction can not only help the manager define strategy but also assist operation management. This study discriminates various criteria and variables utilized for the R&D process expected increased by around 30% of design efficiency. After introducing the modular design to different corporations, decision-makers can break the operating dilemma.","PeriodicalId":360042,"journal":{"name":"2022 International Seminar on Application for Technology of Information and Communication (iSemantic)","volume":"12 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132061077","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
An insight into power system resilience and its confounding traits 对电力系统弹性及其混杂特性的洞察
Kehkashan Fatima, H. Shareef, Abdullah Akram Bajwa
{"title":"An insight into power system resilience and its confounding traits","authors":"Kehkashan Fatima, H. Shareef, Abdullah Akram Bajwa","doi":"10.1109/iSemantic55962.2022.9920458","DOIUrl":"https://doi.org/10.1109/iSemantic55962.2022.9920458","url":null,"abstract":"The frequency of extreme weather events has dramatically triggered numerous power outages in recent years. Therefore, the concept of power system resilience and its enhancement efforts gaining significant popularity among power engineers. This paper aims at investigating the resilience of power systems. Based on the existing literature, we provide a comprehensive review of current practices for the resilience of power systems from various perspectives. Firstly, several definitions and confounding characteristics of resilience in the power system domain are described. Furthermore, various curves for resilience and quantitative metrics were discussed followed by a summary of evaluation and enhancement strategies for power systems. The study provides a way of analysis to aid in the formulation of definitions, metrics, evaluation techniques, and improvement initiatives that are accepted worldwide.","PeriodicalId":360042,"journal":{"name":"2022 International Seminar on Application for Technology of Information and Communication (iSemantic)","volume":"12 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":"131705482","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
Smart Potato Grading using Image Processing and Fuzzy Grading System 基于图像处理和模糊分级系统的马铃薯智能分级
R. Yusianto, H. Suprijono, Nur Islahudin, Dony Satriyo Nugroho
{"title":"Smart Potato Grading using Image Processing and Fuzzy Grading System","authors":"R. Yusianto, H. Suprijono, Nur Islahudin, Dony Satriyo Nugroho","doi":"10.1109/iSemantic55962.2022.9920382","DOIUrl":"https://doi.org/10.1109/iSemantic55962.2022.9920382","url":null,"abstract":"Horticultural commodities have distinctive and unique characteristics, such as different colors, shapes, and sizes for each harvest. Grading is currently being done, generally based on these characteristics. The grading person must be an expert and maintain the respective consistency for each commodity characteristic, which requires more time, cost, and risk. This study aims to design a smart potato grading structure by combining different parameters: color, shape, and size. We use image processing with a fuzzy grading system. The camera correctly captures the potato image and is processed by the image processing room. Captured images and database images provide an output rating by comparison. The system offers 2-D image parameter detection—color, shape, and size count. We also design knowledge base fuzzy rules. This system gives better results compared to the current grading. The results showed that by using the fuzzy logic grading system, the grading accuracy was 86%. There are still errors in reading the color of potatoes (14%). For further research, researchers can develop this smart grading to determine potatoes' quality.","PeriodicalId":360042,"journal":{"name":"2022 International Seminar on Application for Technology of Information and Communication (iSemantic)","volume":"34 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":"128203153","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
The Supply Chain Management Model of Small Medium Enterprise (SME): Case Study Dry Food Souvenirs 中小企业供应链管理模式:以干粮纪念品为例
Mila Sartika, E. Noersasongko, D. Aqmala, Z. Hasibuan
{"title":"The Supply Chain Management Model of Small Medium Enterprise (SME): Case Study Dry Food Souvenirs","authors":"Mila Sartika, E. Noersasongko, D. Aqmala, Z. Hasibuan","doi":"10.1109/iSemantic55962.2022.9920472","DOIUrl":"https://doi.org/10.1109/iSemantic55962.2022.9920472","url":null,"abstract":"The SME sector contributes to Indonesia's GDP, which is 61.07% where SMEs are able to absorb 97% of the workforce in it. This proves the important role of MSMEs in the Indonesian economy is very large. However, attention to MSMEs is still not optimal, several obstacles are still faced by MSMEs, including supply chain management performance that has not been optimal so that SME productivity has not been maximized. The purpose of this research is to create a supply chain management based on ICT (Computer Information Technology) so that the performance of SMEs increases and is able to compete in the global market. The system was created with the aim of making the system in this study: 1) Ensure that the raw materials needed by SMEs are not interrupted, because with the system it is expected that the supply of raw materials and consumer demand for products can be balanced. 2) Optimizing the supply chain in SMEs, with an integrated system starting from farmers who provide raw materials, suppliers. 3) Turn on the nodes in the supply chain in order to create a digital ecosystem for SMEs","PeriodicalId":360042,"journal":{"name":"2022 International Seminar on Application for Technology of Information and Communication (iSemantic)","volume":" 756","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113946952","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
ECG-LPWAN based for Real-time monitoring Patient’s Heart Beat Status 基于ECG-LPWAN的患者心跳状态实时监测
Puput Dani Prasetyo Adi, Nunuk Indarti, Yuyu Wahyu, Budi A. Sudarmanto, Fransiska Sisilia Mukti, J. M. Parenreng, Hastangka
{"title":"ECG-LPWAN based for Real-time monitoring Patient’s Heart Beat Status","authors":"Puput Dani Prasetyo Adi, Nunuk Indarti, Yuyu Wahyu, Budi A. Sudarmanto, Fransiska Sisilia Mukti, J. M. Parenreng, Hastangka","doi":"10.1109/iSemantic55962.2022.9920379","DOIUrl":"https://doi.org/10.1109/iSemantic55962.2022.9920379","url":null,"abstract":"In this study, the ECG Sensor was monitored using IoT based on LoRa 915 MHz to monitor a Patient's, Heart Beat Status. Electrocardiogram or ECG is essential to determine normal or abnormal heart conditions. Can determine the heart rate (bpm) tachycardia or bradycardia. In this research, the ECG output is displayed on the Graphical User Interface (GUI) or Application Server Thingspeak explicitly used for Internet of Things (IoT) Applications. Moreover, the Dragino LoRa 915 MHz LoRa and the Dragino LoRa 915 MHz Gateway transmit ECG data to the internet. Therefore, the doctors and patients can quickly receive ECG data in real-time everywhere in Long-range conditions. LoRa Receive Signal Strength (RSS) will be tested at a certain distance in decibel meters (dBm) and in non-Line-ofSight (Non-LoS) conditions in densely populated areas, analysis of possible Packet Loss, Bandwidth, Spreading Factor (SF), Chirps Spread Spectrum (CSS), Packet Delivery Ratio (PDR), Receive Signal Strength Indicator (RSSI), and analysis of data throughput from LoRa communication with a server, and Bit Rate Error (%) analysis generated by LoRa 915 MHz on IoT design structures.","PeriodicalId":360042,"journal":{"name":"2022 International Seminar on Application for Technology of Information and Communication (iSemantic)","volume":"54 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":"125484897","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
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