Buletin Pos dan Telekomunikasi最新文献

Addressing the Era of Open Data and Policy Solutions in Indonesia 应对印度尼西亚的开放数据时代和政策解决方案

Buletin Pos dan Telekomunikasi Pub Date : 2024-06-12 DOI: 10.17933/bpostel.v22i1.387

Herma Adis, Catur Apriono

{"title":"Addressing the Era of Open Data and Policy Solutions in Indonesia","authors":"Herma Adis, Catur Apriono","doi":"10.17933/bpostel.v22i1.387","DOIUrl":"https://doi.org/10.17933/bpostel.v22i1.387","url":null,"abstract":"Openness of Government Data is considered important and is an innovation that influences from the community to prevent corruption by increasing transparency of information and data. This has been done by almost most of the Ministries / Government Agencies in Indonesia in all aspects that include data disclosure in the social, economic, cultural, political and security fields. One of the drivers of the emergence of Open Government Data (OGD) is the era of the industrial revolution 4.0 which has affected all aspects of life with all technological advances so that people tend to require information disclosure in supporting and overseeing the running of the government. Conversely, the lack of utilisation of OGD is something that the Government really needs to pay attention to. Here the author discusses the openness of government data in Indonesia, with several literature review studies and reviews of several journals and interviews with several experts who are expected to provide recommendations related to the importance of data disclosure using several measurement parameters so that the gap between the framework and the OGD concept itself in Indonesia can be considered. In addition, the final goal of this study aims to provide foresight for policies that can be taken by the Government aimed at data transparency that can be used optimally by the general public and does not conflict with policies that have been implemented on data disclosure information.","PeriodicalId":511544,"journal":{"name":"Buletin Pos dan Telekomunikasi","volume":"4 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141353934","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

Reconfigurable Intelligent Surface-Assisted RF Wireless Power Transfer for Internet of Things System 用于物联网系统的可重构智能表面辅助射频无线电力传输系统

Buletin Pos dan Telekomunikasi Pub Date : 2024-06-12 DOI: 10.17933/bpostel.v22i1.396

Arif Abdul Aziz, Istiqomah, F. Suratman

{"title":"Reconfigurable Intelligent Surface-Assisted RF Wireless Power Transfer for Internet of Things System","authors":"Arif Abdul Aziz, Istiqomah, F. Suratman","doi":"10.17933/bpostel.v22i1.396","DOIUrl":"https://doi.org/10.17933/bpostel.v22i1.396","url":null,"abstract":"In this work, we study the utilization of reconfigurable intelligent surface (RIS) for assisting the radiofrequency (RF) based wireless power transfer (WPT) in the Internet of Things (IoT) system. The RIS device in this system is utilized to provide the line of sight (LOS) path when an obstacle blocks the direct power transmission from the transmitter to the receiver. In this work, we present a comprehensive modeling of the RIS-assisted RF WPT for IoT systems, which includes the spatial model, RIS-assisted RF WPT model, and total receiver power model. The performance of RIS-assisted RF WPT is evaluated by simulation matched to the IoT system. By simulation, we have verified that the RIS device can assist the RF WPT in the IoT system, especially when the obstacle completely blocks the power transmission directly from the transmitter to the receiver. The receiver can achieve 0,4714% end-to-end power transfer efficiency at a 1 meter distance from the RIS device. Meanwhile, 0,0290% end-to-end power transfer efficiency is achieved within a 15 meters distance from the RIS device. In this work, we have investigated the performance of RIS-assisted RF WPT with various numbers of unit cells in the RF WPT system. We found that increasing the number of unit cells in RF WPT after a certain number is ineffective for the RF WPT in an IoT system.","PeriodicalId":511544,"journal":{"name":"Buletin Pos dan Telekomunikasi","volume":"79 21","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141352675","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

Accurate, Fast and Low Computation Cost of Voice Biometrics Performance using Model of CNN Depthwise Separable Convolution and Method of Hybrid DWT-MFCC for Security System 使用 CNN 深度可分离卷积模型和混合 DWT-MFCC 方法实现准确、快速和低计算成本的语音生物识别性能，用于安全系统

Buletin Pos dan Telekomunikasi Pub Date : 2024-06-12 DOI: 10.17933/bpostel.v22i1.393

Haris Isyanto

{"title":"Accurate, Fast and Low Computation Cost of Voice Biometrics Performance using Model of CNN Depthwise Separable Convolution and Method of Hybrid DWT-MFCC for Security System","authors":"Haris Isyanto","doi":"10.17933/bpostel.v22i1.393","DOIUrl":"https://doi.org/10.17933/bpostel.v22i1.393","url":null,"abstract":"Identity theft presents a substantial criminal threat in the digital world, especially in online transactions. To overcome this problem, voice biometrics was created as a method to guarantee identity security. This research is to look at voice biometrics systems that use deep learning model, focusing on the CNN Depthwise Separable Convolution (DSC) model compared to CNN Residual. The comparison of these two systems is to improve accuracy and performance. CNN Residual's first Voice Biometrics testing showed a high accuracy validation performance 98.6345%. The large number of Residual CNN training parameters causes a longer training process time 7.37 seconds and response time 2.35 seconds. So, the computing load becomes larger. The second voice biometrics test of CNN DSC showed high accuracy validation performance results 98.3542%. CNN DSC performance succeeded in reducing the number of training parameters, thereby shortening the training process by 5.12 seconds and the fastest response time was 1.54 seconds. Based on the analysis of the test results above, it shows performance advantages. CNN DSC is able to reduce the computing load, is able to improve the user identity security system in banking transactions accurately and quickly and is able to solve the problem of high computing costs.","PeriodicalId":511544,"journal":{"name":"Buletin Pos dan Telekomunikasi","volume":"132 29","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141351220","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

Hyperparameter Optimization of Random Forest for 5G Coverage Prediction 针对 5G 覆盖率预测的随机森林超参数优化

Buletin Pos dan Telekomunikasi Pub Date : 2024-06-12 DOI: 10.17933/bpostel.v22i1.390

Hajiar Yuliana

{"title":"Hyperparameter Optimization of Random Forest for 5G Coverage Prediction","authors":"Hajiar Yuliana","doi":"10.17933/bpostel.v22i1.390","DOIUrl":"https://doi.org/10.17933/bpostel.v22i1.390","url":null,"abstract":"Utilizing of 5G technology has become a major focus in the development of more advanced and efficient telecommunications networks. In this context, 5G coverage prediction becomes an important aspect in network planning to ensure optimal user experience. In this study, we explore the use of Random Forest algorithm to predict 5G coverage, with special emphasis on the hyperparameter optimization process to improve model performance. We conduct experiments with various hyperparameter combinations, including 'max_depth', 'max_features', 'min_samples_leaf', 'min_samples_split', and 'n_estimators', using hyperparameter optimization techniques. The results show that by paying attention to the optimal combination of hyperparameters, we managed to significantly improve the performance of the model. The optimized model produces a Minimum Root Mean Squared Error (RMSE) of 0.6, which is much better than the Random Forest model without hyperparameter optimization which has an RMSE of 1.14. The result of this study confirms the importance of the hyperparameter optimization process in improving the accuracy and consistency of the Random Forest model for 5G coverage prediction. The results have important implications in supporting the development of a successful 5G network infrastructure in the future.","PeriodicalId":511544,"journal":{"name":"Buletin Pos dan Telekomunikasi","volume":"18 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141350664","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 Implementation of PWA (Progressive Web App) Technology in Enhancing Website Performance & Mobile Accessibility 采用 PWA（渐进式网络应用程序）技术提高网站性能和移动无障碍性

Buletin Pos dan Telekomunikasi Pub Date : 2024-06-12 DOI: 10.17933/bpostel.v22i1.395

Ahyar Muawwal

引用次数: 0

User Clustering with Spatial Concept using Supervised Learning for NOMA Downlink 利用监督学习为 NOMA 下行链路进行具有空间概念的用户聚类

Buletin Pos dan Telekomunikasi Pub Date : 2024-06-12 DOI: 10.17933/bpostel.v22i1.385

Hurianti Vidyaningtyas

引用次数: 0