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COMPUTERIZED SYSTEM OF CASH FLOWS IN AND OUT OF THE KELURAHAN CANDI SEMARANG OFFICE Devi Ayu Indriyani; Indra Ava Adianta
Journal of Engineering, Electrical and Informatics Vol 1 No 1 (2021): Februari : Journal of Engineering, Electrical and Informatics
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jeei.v1i1.813

Abstract

Cash flow statement is a report on cash receipts and disbursements for a period. Useful for helping employees to assess the amount and uncertainty of future cash flows. Because cash plays an important role in carrying out office operational activities both now and in the future, therefore the office must be able to control the use of cash to ensure that office operations continue to run well. Likewise, the purpose of the research entitled "Computerized System of Cash Inflows and Outflows at the Candi Semarang Village Office" is to find out the smooth operation of the cash situation in the Kelurahan office by making cash flow reports, so that the office can find out the turnover of incoming and cash outflows that occur at the Kelurahan Office, and the Office can control the financial situation in the Kelurahan Office. This study uses a descriptive method, namely describing and analyze data based on existing facts and information. The data collection technique used is by conducting field studies which include observations, interviews and literature studies. Based on the results of the study, it can be concluded that the Candi Semarang Kelurahan office has made a cash flow report in accordance with the applicable Financial Accounting Standards so that in its implementation there are no obstacles.
BLACK BOX APPROACH TO MONITORING CONTAINER MICROSERVICES IN FOG COMPUTING Danang Danang; Nuris Dwi Setiawan; Indra Ava Adianta
Journal of Technology Informatics and Engineering Vol 1 No 1 (2022): April: Journal of Technology Informatics and Engineering
Publisher : University of Science and Computer Technology

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/jtie.v1i1.141

Abstract

In recent years IoT has developed very rapidly. IoT devices are used to monitor and control physical objects to transform the physical world into intelligent spaces with computing and communication capabilities. Compared to cloud computing, fog computing is used to support latency-sensitive applications at the edge of the network which allows client requests to be processed faster. This study aims to propose a monitoring framework for containerized black box microservices in a fog computing environment to evaluate CPU overhead, as well as to determine the operating status, service characteristics, and dependencies of each container. This study proposes a monitoring framework to integrate computing resource usage and run-time information from service interactions using a black box approach that seeks to integrate service-level information and computing resource information into the same framework. The proposed framework is limited to observing information monitoring after the server receives a request. This study uses JMeter to simulate user actions, which send requests to the server, and this research assumes the user knows the IP address of the server. For container monitoring methods in fog computing, all are indirect monitoring methods. The results of this study indicate that the proposed framework can provide operational data for visualization that can help system administrators evaluate the status of running containers using a black box approach. System administrators do not need to understand and modify target microservices to gather service characteristics from containerized microservices. Regarding future research, it is suggested to expand the exploration of modified system information, and that part of the container management tool code can be pre-tried so that the framework proposed in this study can provide real-time quantitative indexes for the load balancing algorithm to help optimize the load balancing algorithm.
COMPUTERIZED SYSTEM OF CASH FLOWS IN AND OUT OF THE KELURAHAN CANDI SEMARANG OFFICE Devi Ayu Indriyani; Indra Ava Adianta
Journal of Engineering, Electrical and Informatics Vol. 1 No. 1 (2021): Februari : Journal of Engineering, Electrical and Informatics
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jeei.v1i1.813

Abstract

Cash flow statement is a report on cash receipts and disbursements for a period. Useful for helping employees to assess the amount and uncertainty of future cash flows. Because cash plays an important role in carrying out office operational activities both now and in the future, therefore the office must be able to control the use of cash to ensure that office operations continue to run well. Likewise, the purpose of the research entitled "Computerized System of Cash Inflows and Outflows at the Candi Semarang Village Office" is to find out the smooth operation of the cash situation in the Kelurahan office by making cash flow reports, so that the office can find out the turnover of incoming and cash outflows that occur at the Kelurahan Office, and the Office can control the financial situation in the Kelurahan Office. This study uses a descriptive method, namely describing and analyze data based on existing facts and information. The data collection technique used is by conducting field studies which include observations, interviews and literature studies. Based on the results of the study, it can be concluded that the Candi Semarang Kelurahan office has made a cash flow report in accordance with the applicable Financial Accounting Standards so that in its implementation there are no obstacles.
BLACK BOX APPROACH TO MONITORING CONTAINER MICROSERVICES IN FOG COMPUTING Danang Danang; Nuris Dwi Setiawan; Indra Ava Adianta
Journal of Technology Informatics and Engineering Vol. 1 No. 1 (2022): April: Journal of Technology Informatics and Engineering
Publisher : University of Science and Computer Technology

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/jtie.v1i1.141

Abstract

In recent years IoT has developed very rapidly. IoT devices are used to monitor and control physical objects to transform the physical world into intelligent spaces with computing and communication capabilities. Compared to cloud computing, fog computing is used to support latency-sensitive applications at the edge of the network which allows client requests to be processed faster. This study aims to propose a monitoring framework for containerized black box microservices in a fog computing environment to evaluate CPU overhead, as well as to determine the operating status, service characteristics, and dependencies of each container. This study proposes a monitoring framework to integrate computing resource usage and run-time information from service interactions using a black box approach that seeks to integrate service-level information and computing resource information into the same framework. The proposed framework is limited to observing information monitoring after the server receives a request. This study uses JMeter to simulate user actions, which send requests to the server, and this research assumes the user knows the IP address of the server. For container monitoring methods in fog computing, all are indirect monitoring methods. The results of this study indicate that the proposed framework can provide operational data for visualization that can help system administrators evaluate the status of running containers using a black box approach. System administrators do not need to understand and modify target microservices to gather service characteristics from containerized microservices. Regarding future research, it is suggested to expand the exploration of modified system information, and that part of the container management tool code can be pre-tried so that the framework proposed in this study can provide real-time quantitative indexes for the load balancing algorithm to help optimize the load balancing algorithm.