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Jurnal EECCIS
Published by Universitas Brawijaya
ISSN : 19783345     EISSN : 24608122     DOI : -
Core Subject : Engineering,
Engineering
EECCIS is a scientific journal published every six month by electrical Department faculty of Engineering Brawijaya University. The Journal itself is specialized, i.e. the topics of articles cover electrical power, electronics, control, telecommunication, informatics and system engineering. The languages used in this journal are Bahasa Indonesia and English.
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Articles 5 Documents
 1 
Search results for , issue "Vol. 17 No. 3 (2023)" : 5 Documents clear
Advancing Business Services Through Web and Mobile Application Development Ahlul Aziz; Sri Wulandari
Jurnal EECCIS (Electrics, Electronics, Communications, Controls, Informatics, Systems) Vol. 17 No. 3 (2023)
Publisher : Faculty of Engineering, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/jeeccis.v17i3.1657

Abstract

Cafés are commercial establishments that serve food and drinks to customers in a casual setting. They also provide a conducive environment for relaxation and socializing with relatives. However, the operational processes of many cafés in Yogyakarta, including the Konogawa Coffee & Culture, still rely on manual methods, resulting in long queues and extended waiting times when multiple customers arrive simultaneously. To address these challenges and enhance service performance, a system comprising a mobile application and an interconnected website has been developed. The website serves as a promotional medium, providing information about the café, while the mobile application enables customers to conveniently place menu orders online. The system design incorporates API technology to establish seamless connectivity between the website and the mobile application. When a customer uses their mobile device connected to the local area network to place an order, the ordering information is promptly transmitted to the cashier, who then forwards it to the kitchen. By improving the delivery of order information, this system enhances service performance and reduces customer wait times.
Efficiency of BLDC Motor Regenerative Braking System on Electric Motorcycles Buana, Fajar Kelana; Erni Yudaningtyas; Mochammad Rusli
Jurnal EECCIS (Electrics, Electronics, Communications, Controls, Informatics, Systems) Vol. 17 No. 3 (2023)
Publisher : Faculty of Engineering, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/jeeccis.v17i3.1658

Abstract

The Analysis of thermal efficiency in Star Energy Gothermal Darajat Pratama, Muhammad Pashya Rifky; Utomo, Teguh; Wibawa, Unggul
Jurnal EECCIS (Electrics, Electronics, Communications, Controls, Informatics, Systems) Vol. 17 No. 3 (2023)
Publisher : Faculty of Engineering, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/jeeccis.v17i3.1662

Abstract

After years of operation, the plant will no longer operate optimally according to its design. The practice of the work cycle shows that the original value of thermal efficiency will always be below 100%, this is because during the cycle process of creating work, the energy received by the system by heat transfer will not be fully received and will be absorbed by the environment. In this research, thermal efficiency analysis was carried out in accordance with the first and second laws of thermodynamic efficiency and thermoeconomic calculations to calculate losses. Based on calculations that have been carried out, the thermal efficiency of the Star Energy Geothermal Darajat unit-3 geothermal power plant system is 21.72% with the largest exergy loss being in the condenser component of 62,219,418 kW with an exergy loss cost of 252,766,682.24 Rp/ days and the smallest is in the cooling tower of 599,362 kW with exergy loss costs of 23,655,907.11. Rp/day from the following results it can be seen that this efficiency value depends on the performance of each component.
Optimizing Link Efficiency: Compression Mechanism Analysis in Wide Area Networks An Enterprise Network Case Study Msiska, Abel; Lubobya, Charles Smart
Jurnal EECCIS (Electrics, Electronics, Communications, Controls, Informatics, Systems) Vol. 17 No. 3 (2023)
Publisher : Faculty of Engineering, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/jeeccis.v17i3.1670

Abstract

The study aims to analyze the effectiveness of compression mechanisms in optimising link efficiency in Wide Area Networks (WANs). Using an enterprise network as a case study, the researcher employed OPNET Modeler 14.5 for simulation. Three scenarios were simulated, with two using predefined compression mechanisms. Results suggest that a point-to-point network with a compressed layer 2 payload but uncompressed header, achieves higher throughput than one with header compression, or no compression applied. Additionally, layer 2 payload compression reduces both delay and packet loss. The researchers propose a novel Msiska-Lubobya Improved Payload (MLIP) Compression technique to optimize link efficiency for WAN.
Parallel Implementation of Gaussian Filter Image Processing on a Cluster of Single Board Computer Achmad Nurul Fauzie; Setyawan Purnomo Sakti; Rahmadwati
Jurnal EECCIS (Electrics, Electronics, Communications, Controls, Informatics, Systems) Vol. 17 No. 3 (2023)
Publisher : Faculty of Engineering, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/jeeccis.v17i3.1672

Abstract

Gaussian filters are widely used in image processing applications, such as edge detection, segmentation, and feature extraction. However, computationally intensive computations can take a long time to process large images. Therefore, a parallel algorithm implementation is necessary to accelerate the process. The authors proposed the use of Orange Pi SBCs for parallel image processing tasks involving a Gaussian filter. This paper outlines the steps for implementing a parallel Gaussian filter on a cluster of SBCs. The performance of the parallel implementation was evaluated in terms of speedup and efficiency, which are essential parameters for measuring the effectiveness of the approach. The parallel implementation speedup is described as the ratio of the time required by the serial implementation to that required by the parallel implementation. The parallel implementation efficiency is described as the speedup ratio of the number of SBCs in a cluster. The results of the performance evaluation show that the parallel implementation of the Gaussian filter on a cluster of Orange Pi SBCs can achieve significant speedup and efficiency compared to the serial implementation. The speedup increases with the number of SBCs used in the cluster. Using four SBCs can result in a speedup of up to 2.1 times faster than serial implementation. The efficiency also increases with the number of SBCs used in the cluster. Using four SBCs could achieve an efficiency of up to 53.4%.

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