2023 International Seminar on Intelligent Technology and Its Applications (ISITIA)最新文献_第9页

Telerehabilitation Information System For Lower Limb With FES Based On Website Application 基于网站应用的FES下肢远程康复信息系统

2023 International Seminar on Intelligent Technology and Its Applications (ISITIA) Pub Date : 2023-07-26 DOI: 10.1109/ISITIA59021.2023.10221023

Fauzi Naufal Muhammad, Achamd Arifin, Norma Hermawan

{"title":"Telerehabilitation Information System For Lower Limb With FES Based On Website Application","authors":"Fauzi Naufal Muhammad, Achamd Arifin, Norma Hermawan","doi":"10.1109/ISITIA59021.2023.10221023","DOIUrl":"https://doi.org/10.1109/ISITIA59021.2023.10221023","url":null,"abstract":"Hemiplegic patients who need gait rehabilitation must travel to a rehabilitation facility because Indonesian facilities are still not widely distributed. In addition, it is now difficult to track training progress because there is still a dearth of digital data recording of rehabilitation results. Thus, a website application based on a lower limb telerehabilitation system is suggested to help patients and doctors or therapists carry out rehabilitation in order to overcome various current problems. This telerehabilitation system has a feature that allows data to be displayed graphically and stores exercise outcomes data into a management database to make it simpler to track each patient’s development through telerehabilitation. A graph of the segments, joints, and stimulation time will be displayed on the online application as the output data from the telerehabilitation equipment in the form of FES. Additionally, the designed website application underwent user acceptance testing using the system usability scale evaluation method for 25 participants, and the results showed that it has a functional value of an average score of 69. The data from FES can be automatically stored in the database during the future research process without assistance from external applications, allowing the internet application to present the data in real-time.","PeriodicalId":116682,"journal":{"name":"2023 International Seminar on Intelligent Technology and Its Applications (ISITIA)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116954983","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

The Probabilistic Programming Approach for Procurement and Production Planning in Recovery Time after a Pandemic 大流行后恢复期采购和生产计划的概率规划方法

2023 International Seminar on Intelligent Technology and Its Applications (ISITIA) Pub Date : 2023-07-26 DOI: 10.1109/ISITIA59021.2023.10221029

S. Sutrisno, P. A. Wicaksono, S. Solikhin, A. Aziz

引用次数: 0

Modeling of Type-2 Fuzzy System in M-Learning Usage Behavior Based on Electricity Availability in Institut Teknologi Sepuluh Nopember Indonesia 基于电力可用性的移动学习使用行为的2型模糊系统建模，Sepuluh理工学院，11月印度尼西亚

2023 International Seminar on Intelligent Technology and Its Applications (ISITIA) Pub Date : 2023-07-26 DOI: 10.1109/ISITIA59021.2023.10220983

S. Arifin, A. S. Aisjah

{"title":"Modeling of Type-2 Fuzzy System in M-Learning Usage Behavior Based on Electricity Availability in Institut Teknologi Sepuluh Nopember Indonesia","authors":"S. Arifin, A. S. Aisjah","doi":"10.1109/ISITIA59021.2023.10220983","DOIUrl":"https://doi.org/10.1109/ISITIA59021.2023.10220983","url":null,"abstract":"The Covid-19 pandemic outbreak since the beginning of 2020 until mid-2022, had an impact on changing activities in all fields. Mobile-learning as a medium for learning in higher education institutions in Indonesia, and it cannot be fully implemented in several universities. Apart from these diseases, m-learning is one of the challenges in the development of information and communication technology. The habit of using m-phone is one of supporting factors, but on the other hand the limitations of electrical needed is one of obstacles. In this paper, modeling of student behavior in using m-learning is done. Variables that influence in usage of m-learning (UbmL) are perceived usefulness (PU) and facility conditions (FC). The model in the fuzzy system is developed based on model adapted from Technology Acceptance Model (TAM). Modeling is done based on data of Engineering Physics (EP) students at Institut Teknologi Sepuluh Nopember (ITS) in online-learning activities. The data is pre-processed to analyze the correlation between the input and output of model. The data show that behavior of using m-learning is classified as frequent, and model is accepted. Furthermore, the model is developed in the form of fuzzy logic. The model is developed by determining the membership function in fuzzifier and defuzzifier. Both units are supported by set of fuzzy rules that are developed based on experts. The results of the analysis show that the PU and FC variables have a very strong correlation of R correlation of 0.821 and these two variables affect the UbmL of 66.8%.","PeriodicalId":116682,"journal":{"name":"2023 International Seminar on Intelligent Technology and Its Applications (ISITIA)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123053053","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

Prediction of Ship Fuel Consumption Due to the Effect of Weather Conditions 受天气条件影响的船舶燃油消耗量预测

2023 International Seminar on Intelligent Technology and Its Applications (ISITIA) Pub Date : 2023-07-26 DOI: 10.1109/ISITIA59021.2023.10221158

Sintia Megawati, A. S. Aisjah, Sjarief Widjaja

{"title":"Prediction of Ship Fuel Consumption Due to the Effect of Weather Conditions","authors":"Sintia Megawati, A. S. Aisjah, Sjarief Widjaja","doi":"10.1109/ISITIA59021.2023.10221158","DOIUrl":"https://doi.org/10.1109/ISITIA59021.2023.10221158","url":null,"abstract":"The route planning for ship navigation, carried out by navigators and captains, considers various factors, including the weather conditions in the navigated waters. This is because weather conditions are one of the factors that can affect the resistance experienced by the ship. Poor weather conditions can increase the ship’s resistance, resulting in increased fuel consumption and posing a threat to the safety of the ship. Predicting fuel consumption while considering weather conditions is a research topic that has been the focus of many researchers. Various methods, especially artificial intelligence methods, are used for prediction, but the artificial neural network (ANN) method provides the best performance among the methods used. ANN could provide the best performance because it can model the relationships of a complex and nonlinear system, which cannot be converted into mathematical equations. Weather factors have been used as one of the input variables in previous studies, so this paper proposes considering weather factors as disturbance factors. This paper can serve as a guide for researchers to further develop the ANN method as one of the methods for predicting ship fuel consumption while considering weather conditions. The paper presents a comparison of the architectural models of ANN that have been used and how each architecture performs.","PeriodicalId":116682,"journal":{"name":"2023 International Seminar on Intelligent Technology and Its Applications (ISITIA)","volume":"104 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122628374","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

Blockchain Technology for Implementation of Vehicle Tax Payment Digital Receipt Authentication Using IPFS and Hyperledger Fabric 利用IPFS和超级账本结构实现车辆纳税数字收据认证的区块链技术

2023 International Seminar on Intelligent Technology and Its Applications (ISITIA) Pub Date : 2023-07-26 DOI: 10.1109/ISITIA59021.2023.10221185

Anggi Malanda Yoga Putra, Erika Maulidiya, Laeila Marddhatillah, Muhammad Hakiki, Reza Iqra Nugraha, H. Studiawan, A. M. Shiddiqi

{"title":"Blockchain Technology for Implementation of Vehicle Tax Payment Digital Receipt Authentication Using IPFS and Hyperledger Fabric","authors":"Anggi Malanda Yoga Putra, Erika Maulidiya, Laeila Marddhatillah, Muhammad Hakiki, Reza Iqra Nugraha, H. Studiawan, A. M. Shiddiqi","doi":"10.1109/ISITIA59021.2023.10221185","DOIUrl":"https://doi.org/10.1109/ISITIA59021.2023.10221185","url":null,"abstract":"Counterfeiting proof of payment is one of the problems in finance. In response to this, the regional apparatus organization in charge of motor vehicle tax has created an Online Motor Vehicle Tax Payment Verification System. The current payment authorization system uses centralized storage, causing the system vulnerable to SQL Injection that compromises data. In addition, the system’s transparency can be misused by irresponsible parties. This study aims to introduce a distributed blockchain-based system to present more transparent and validated data. In addition, blockchain technology enables data to be immutable (permanent). This system uses the InterPlanetary File System (IPFS) by combining Hyperledger Fabric to store data in a distributed manner. This system also uses the blockchain smart contract to keep the hash file of motor vehicle tax payments. We conducted Quality of Service (QoS) experiments by observing throughput, packet loss, and delay parameters. We also analyzed the use of the Central Processing Unit (CPU) and Random Access Memory (RAM) during the operations.","PeriodicalId":116682,"journal":{"name":"2023 International Seminar on Intelligent Technology and Its Applications (ISITIA)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125051728","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

The Scientific Progress and Prospects of Artificial Intelligence for Cancer Detection: A Bibliometric Analysis 人工智能在癌症检测中的科学进展与展望:文献计量学分析

2023 International Seminar on Intelligent Technology and Its Applications (ISITIA) Pub Date : 2023-07-26 DOI: 10.1109/ISITIA59021.2023.10221162

F. I. Maulana, Puput Dani Prasetyo Adi, D. Lestari, S. V. Ariyanto, A. Purnomo

{"title":"The Scientific Progress and Prospects of Artificial Intelligence for Cancer Detection: A Bibliometric Analysis","authors":"F. I. Maulana, Puput Dani Prasetyo Adi, D. Lestari, S. V. Ariyanto, A. Purnomo","doi":"10.1109/ISITIA59021.2023.10221162","DOIUrl":"https://doi.org/10.1109/ISITIA59021.2023.10221162","url":null,"abstract":"Using the Scopus database, this study aims to investigate the use of artificial intelligence for cancer detection in the last ten years from 2013 to 2022. The researchers used bibliometric analysis combined with VosViewer and Rstudio software quantification method for literature analysis. The results of the flushed articles show data such as publication year, journal, country, keywords, and authors, to the highest number of citations. Common keywords used by researchers are artificial intelligence, medical, and human. Researchers limited the findings through keywords such as in the last ten years, documents are journals, and English only so that 1868 articles were obtained. The results found that Harvard Medical School affiliation had the highest number of articles, with 101 articles, by subject area, Medicine had a proportion of 41.9% (n=1320). This bibliometric study will be useful for other researchers to examine the development of research on Artificial Intelligence for Cancer Detection in the last ten years.","PeriodicalId":116682,"journal":{"name":"2023 International Seminar on Intelligent Technology and Its Applications (ISITIA)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129820085","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

Fine-Tuning IndoBERT Model for Big Five Personality Prediction from Indonesian Social Media 印尼社交媒体对IndoBERT大五人格预测模型的微调

2023 International Seminar on Intelligent Technology and Its Applications (ISITIA) Pub Date : 2023-07-26 DOI: 10.1109/ISITIA59021.2023.10221074

G. Pradnyana, Wiwik Anggraeni, E. M. Yuniarno, M. Purnomo

引用次数: 0

Implementation of Faster R-CNN Inception ResNet V2 Algorithm for Human Body Pieces Detection 更快R-CNN Inception ResNet V2人体碎片检测算法的实现

2023 International Seminar on Intelligent Technology and Its Applications (ISITIA) Pub Date : 2023-07-26 DOI: 10.1109/ISITIA59021.2023.10220446

Nabilah Hanun, Meochammad Sarosa, R. A. Asmara

引用次数: 0

Binary Semantic Segmentation of Dolphin on UAV Image Using U-Net 基于U-Net的无人机图像海豚二值语义分割

2023 International Seminar on Intelligent Technology and Its Applications (ISITIA) Pub Date : 2023-07-26 DOI: 10.1109/ISITIA59021.2023.10221152

Putu Zasya, Eka Satya Nugraha, I. Made, Gede Sunarya, Dendi Maysanjaya

{"title":"Binary Semantic Segmentation of Dolphin on UAV Image Using U-Net","authors":"Putu Zasya, Eka Satya Nugraha, I. Made, Gede Sunarya, Dendi Maysanjaya","doi":"10.1109/ISITIA59021.2023.10221152","DOIUrl":"https://doi.org/10.1109/ISITIA59021.2023.10221152","url":null,"abstract":"Dolphins are mammals that live in both freshwater and saltwater habitats. These creatures are skilled at a variety of acrobatic maneuvers, including turning, jumping, steering rubber boats, and even counting. Dolphins are a symbol of marine tourism in Lovina, Bali because of their special abilities. Although dolphin tracking on Dolphin Tours is still done manually, so technology is required to recognize dolphin sightings. This research employs a binary semantic segmentation approach using the U-Net to learn new information about the detection of dolphin appearance using UAV footage. The dataset used in this study consisted of 1,400 images, of which 1,120 from 80 percent were used for training, 140 from 10 percent for validation, and 10 percent for testing (140 images). The U-Net model results were produced with a mean IoU value of 0.862, a recall of 0.909, and a precision of 0.789 through the adjustment of the hyperparameter training. The results of this study can be used to further investigate how dolphins recognition system might become integrated into UAVs.","PeriodicalId":116682,"journal":{"name":"2023 International Seminar on Intelligent Technology and Its Applications (ISITIA)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116728734","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

Economic Dispatch Steam Power Plant Jeranjang and Sambelia Using Hybrid Algorithm Particle Swarm Optimization and Simulated Annealing 基于粒子群优化和模拟退火混合算法的热电厂经济调度

2023 International Seminar on Intelligent Technology and Its Applications (ISITIA) Pub Date : 2023-07-26 DOI: 10.1109/ISITIA59021.2023.10221137

Muhammad Rivaldi Harjian, O. Penangsang, N. K. Aryani

{"title":"Economic Dispatch Steam Power Plant Jeranjang and Sambelia Using Hybrid Algorithm Particle Swarm Optimization and Simulated Annealing","authors":"Muhammad Rivaldi Harjian, O. Penangsang, N. K. Aryani","doi":"10.1109/ISITIA59021.2023.10221137","DOIUrl":"https://doi.org/10.1109/ISITIA59021.2023.10221137","url":null,"abstract":"This paper discusses optimization in steam power plants for power selection which is generated on each generator with the aim of obtaining a fee that is economical, especially in the Lombok Electricity System, by paying attention to load power on individual generators. This paper proposes a hybrid particle swarm optimization and simulated annealing (PSO-SA) to solve economic Dispatch. Economic Dispatch is a method of dividing the load on power system generating units optimally at system prices and loads. Economic Dispatch is used to plan the outputs of all available generation units in the power system so that fuel costs are kept to a minimum and system restrictions are met. This study uses real data from PLN company and simulation from the algorithm Particle Swarm optimization (PSO) to compare the simulation with the PSO-SA algorithm. From this study can be concluded at Jeranjang and Sambelia steam power plants using the PSO-SA method provides better solution performance compared to the PSO method, with a total cost is ${$}$ 173.860,69 for 24 hours, whereas if you use the PSO method, it is ${$}$ 174.006,39 for 24 hours. The simulation results show that the method PSO-SA and PSO methods obtained better results when compared to the real data system in the field of PT. PLN.","PeriodicalId":116682,"journal":{"name":"2023 International Seminar on Intelligent Technology and Its Applications (ISITIA)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116753863","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