Jurnal Infotel最新文献_第3页

Genetic algorithm for finding shortest path of mobile robot in various static environments 在各种静态环境中寻找移动机器人最短路径的遗传算法

Jurnal Infotel Pub Date : 2023-08-31 DOI: 10.20895/infotel.v15i3.961

Dyah Lestari, S. Sendari, I. Zaeni

{"title":"Genetic algorithm for finding shortest path of mobile robot in various static environments","authors":"Dyah Lestari, S. Sendari, I. Zaeni","doi":"10.20895/infotel.v15i3.961","DOIUrl":"https://doi.org/10.20895/infotel.v15i3.961","url":null,"abstract":"In conducting their work in the industry quickly, precisely, and safely, mobile robots must be able to determine the position and direction of movement in their work environment. Several algorithms have been developed to solve maze rooms, however, when the room is huge with several obstacles which could be re-placed in other parts of the room, determining the path for a mobile robot will be difficult. This can be done by mapping the work environment and determining the position of the robot so that the robot has good path planning to get the optimal path. In this research, a Genetic Algorithm (GA) will be used to determine the fastest route that a robot may take when moving from one location to another. The method used is to design a mobile robot work environment, design genetic algorithm steps, create software for simulation, test the algorithm in 6 variations of the work environment, and analyze the test results. The genetic algorithm can determine the shortest path with 93% completeness among the 6 possible combinations of the start point, target point, and position of obstacles. The proposed GA, it can be argued, can be used to locate the shortest path in a warehouse with different start and end points.","PeriodicalId":30672,"journal":{"name":"Jurnal Infotel","volume":"50 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139347240","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

Medical image classification of brain tumor using convolutional neural network algorithm 基于卷积神经网络算法的脑肿瘤医学图像分类

Jurnal Infotel Pub Date : 2023-08-31 DOI: 10.20895/infotel.v15i3.964

Alwas Muis, Sunardi Sunardi, Anton Yudhana

{"title":"Medical image classification of brain tumor using convolutional neural network algorithm","authors":"Alwas Muis, Sunardi Sunardi, Anton Yudhana","doi":"10.20895/infotel.v15i3.964","DOIUrl":"https://doi.org/10.20895/infotel.v15i3.964","url":null,"abstract":"Brain tumor is a disease that is very dangerous for humans where this disease really needs faster and more accurate treatment. This disease requires early detection because it requires fast and accurate medical treatment. Machine learning helps solve problems by leveraging deep learning technology in the branch of machine learning. Deep learning is a technology that can detect, classify, and segment various problems in machine learning. One of the methods used in deep learning is the Convolutional Neural Network. This method is most often used in performing image processing where this method has various types of feature extraction. The purpose of this study was to test the accuracy of using the Convolutional Neural Network method in classifying brain images. The brain image used in this study is an image scanned by Magnetic Resonance Imaging. The dataset in this study was downloaded from the Kaggle website as many as 7023 data consisting of four classes of brain image data, namely glioma, notumor, meningioma, and pituitary classes. The results of this study obtained an accuracy value of 84% so that this research can be used by medical personnel to diagnose brain tumors easily, quickly, precisely, and accurately.","PeriodicalId":30672,"journal":{"name":"Jurnal Infotel","volume":"151 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136035041","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

Scalable modular massive MIMO antenna of rectangular truncated corner patch antenna and circular slotted X patch antenna for 5G antenna communication 用于 5G 天线通信的矩形截角贴片天线和圆形开槽 X 贴片天线的可扩展模块化大规模 MIMO 天线

Jurnal Infotel Pub Date : 2023-08-28 DOI: 10.20895/infotel.v15i3.962

Salwa Salsabila, Rina Pudjiastuti, Levy Olivia Nur, H. H. Ryanu, Bambang Setia Nugroho

引用次数: 0

Literature Study of Learning-Based Video Compression 基于学习的视频压缩的文献研究

Jurnal Infotel Pub Date : 2023-08-25 DOI: 10.20895/infotel.v15i3.943

Kholidiyah Masykuroh

引用次数: 0

Extracting Software Requirements-Related Information from Online News using DomText-WMDS 利用DomText-WMDS从在线新闻中提取软件需求相关信息

Jurnal Infotel Pub Date : 2023-08-25 DOI: 10.20895/infotel.v15i3.950

Mutia Rahmi Dewi, Indra Kharisma Raharjana, Daniel Siahaan, Nurul Jannah

{"title":"Extracting Software Requirements-Related Information from Online News using DomText-WMDS","authors":"Mutia Rahmi Dewi, Indra Kharisma Raharjana, Daniel Siahaan, Nurul Jannah","doi":"10.20895/infotel.v15i3.950","DOIUrl":"https://doi.org/10.20895/infotel.v15i3.950","url":null,"abstract":"Currently, there are not many studies that assess software requirements extraction from non-software artifacts. Most of the research in these related areas are focuses on software artifacts such as project descriptions or user reviews as a source of requirements extraction. This research aims to identify relevant information to the software requirements from online news using the vector space model. This software requirements-related information can assist systems analysts in discovering the problem domain based on the lesson learned presented by stakeholders in online news. This research proposes DomText-WMDS to extract requirements-related information from online news. We used online news and public software requirements specification dataset to develop software-specific vocabulary using domain specificity technique. Then we expanded the specific vocabulary software to obtain more comprehensive results by building vector space model from online news documents. This updated version of software-specific vocabulary can be used for basic filtering of software requirements-related information that previously extracted using the part-of-speech (POS) chunking. This study improved the performance for extracting software requirements-related information, with precision and recall 61.09% and 60.66% compared to domain specificity approach that only manages to obtain 43.34% and 40.78%.","PeriodicalId":30672,"journal":{"name":"Jurnal Infotel","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134931773","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 Proposal for Regulation of The Spectrum Usage Fee in 5G Private Network 关于规范5G专网频谱使用费的建议

Jurnal Infotel Pub Date : 2023-08-11 DOI: 10.20895/infotel.v15i3.959

A. Hikmaturokhman

{"title":"A Proposal for Regulation of The Spectrum Usage Fee in 5G Private Network","authors":"A. Hikmaturokhman","doi":"10.20895/infotel.v15i3.959","DOIUrl":"https://doi.org/10.20895/infotel.v15i3.959","url":null,"abstract":"This study evaluates the types of regulation models for The Indonesia Spectrum Usage Fee—the so-called Biaya Hak Pengguna (BHP) Frequency in 5G private network technology that are most suitable for implementation in Indonesia by implementing the Fuzzy Analytical Hierarchy Process (F-AHP) method. This method accommodates the opinions of telecommunications experts from mobile network operators (MNOs), regulators, vertical industries, and telecommunications consultants through a series of scientific steps to produce weights for each type of alternative solution offered. The results obtained show that the proposed model most suitable for implementation in Indonesia, taking into account the given criteria, is the one that uses unlicensed 5G frequencies. This model involves vertical industries not using licensed frequencies established by the government but rather choosing to use unlicensed frequencies to develop 5G technology for their own use. The implementation of this model is expected to encourage the optimization of regulation for Spectrum Usage Fee in 5G private network technology owned by the government, providing opportunities for vertical industries to develop 5G technology on private networks independently without relying on existing MNOs. This can stimulate innovation and technological progress in Indonesia to support Industry 4.0.","PeriodicalId":30672,"journal":{"name":"Jurnal Infotel","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47180549","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

Implementation of Multiple Linear Regression to Estimate Profit on Sales of Screen Printing Equipment 实现多元线性回归估计丝网印刷设备销售利润

Jurnal Infotel Pub Date : 2023-06-07 DOI: 10.20895/infotel.v15i2.934

K. Khairul, Asyahri Hadi Nasyuha, A. Ikhwan, Moustafa H. Aly, Ahyanuardi Ahyanuardi

{"title":"Implementation of Multiple Linear Regression to Estimate Profit on Sales of Screen Printing Equipment","authors":"K. Khairul, Asyahri Hadi Nasyuha, A. Ikhwan, Moustafa H. Aly, Ahyanuardi Ahyanuardi","doi":"10.20895/infotel.v15i2.934","DOIUrl":"https://doi.org/10.20895/infotel.v15i2.934","url":null,"abstract":"Traditional marketing strategies are no longer practical to implement because the process requires more costs and time to disseminate information which is much longer. Data Mining is a science that discusses knowledge from previous data to estimate the amount of production in the future. Data mining is a term used to find hidden knowledge in databases. “Data mining is a semi-automatic process using statistical, mathematical, artificial intelligence, and machine learning techniques to extract and identify valuable and helpful information in large databases. It is necessary to solve the problem by using one of the five methods in the field of Data Mining, namely the Multiple Linear Regression method, where this method will analyze the variables that have an influence and can make estimates. Multiple Linear Regression Is a method that can be used to analyze data and obtain meaningful conclusions about a relationship between one variable and another. This relationship is generally expressed by a mathematical equation expressing the relationship between the independent and dependent variables in the form of a simple equation","PeriodicalId":30672,"journal":{"name":"Jurnal Infotel","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47640127","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 virtual cage for monitoring system semi-intensive livestock’s using wireless sensor network and Haversine method 一种基于无线传感器网络和哈弗辛方法的半集约型家畜虚拟笼监控系统

Jurnal Infotel Pub Date : 2023-06-05 DOI: 10.20895/infotel.v15i2.944

Fahmi Danah Pratama, Giva Andriana Mutiara, Lisda Meisaroh

{"title":"A virtual cage for monitoring system semi-intensive livestock’s using wireless sensor network and Haversine method","authors":"Fahmi Danah Pratama, Giva Andriana Mutiara, Lisda Meisaroh","doi":"10.20895/infotel.v15i2.944","DOIUrl":"https://doi.org/10.20895/infotel.v15i2.944","url":null,"abstract":"Indonesia has great livestock potential. The semi-intensive grazing system is one of the efforts to increase the production of healthy and superior dairy or beef livestock. This grazing system has many advantages. However, it has several weaknesses that can prejudice farmers, including lost or stolen livestock due to a lack of control and monitoring. Therefore, tracking livestock’s position in the WSN-based grasslands monitoring will be implemented to overcome these weaknesses. Thus, it will provide benefits as a support for a modern and controlled livestock system. The built WSN consists of several nodes installed on livestock consisting of Arduino nano, GPS Neo Module, LoRa S-1278, DS3231 clock module, and MCU node. Tracking is visible through the application by displaying the map and livestock’s GPS position. In addition, the system is notified if the livestock’s position is located more than in the permitted radius of the farm. The system was examined and analyzed using the Haversine method with various scenarios to find the maximum range transmission and perform system toughness. The results stated that the system could track the livestock’s position up to 11 Km and the location error calculation obtained by Haversine is only 11.7% of the actual location.","PeriodicalId":30672,"journal":{"name":"Jurnal Infotel","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45439773","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 Fire suppression monitoring system for smart building 智能建筑灭火监测系统

Jurnal Infotel Pub Date : 2023-05-30 DOI: 10.20895/infotel.v15i2.940

I. Ketut, Agung Enriko, Angela Niarapika Nababan, A. F. Rochim, Sri Kuntadi, Institut Teknologi, Telkom Purwokerto

引用次数: 0

Static and dynamic human activity recognition with VGG-16 pre-trained CNN model VGG-16预训练CNN模型的静态和动态人体活动识别

Jurnal Infotel Pub Date : 2023-05-24 DOI: 10.20895/infotel.v15i2.916

M. Harahap, Valentino Damar, Sallyana Yek, Michael Michael, M. R. Putra

引用次数: 0