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Quality of Service (QoS) Pada Jaringan Wi-Fi (Wireless Fidelity) FKIP UNTIRTA Menggunakan Software Wireshark Ratnasari Ratnasari; Fernando Juliansyah; Gera Nugraha; Dede Wirta; Didik Aribowo
Jurnal Elektronika dan Teknik Informatika Terapan ( JENTIK ) Vol. 3 No. 2 (2025): Juni: Jurnal Elektronika dan Teknik Informatika Terapan (JENTIK)
Publisher : Politeknik Kampar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59061/jentik.v2i2.672

Abstract

Wi-Fi (Wireless Fidelity) networks have become vital infrastructure in the era of modern wireless communications. With the rapid development of technology, monitoring and analyzing Wi-Fi networks has become increasingly important to ensure optimal performance and guaranteed security. Wireshark software has become one of the most popular and reliable tools in analyzing computer networks, including Wi-Fi networks. Wireshark is a very popular and powerful open source network analysis software. Originally known as Ethereum, Wireshark was developed by a team of volunteers and released under the GNU General Public License (GPL). The software can run on multiple platforms, including Windows, macOS, and Linux, making it a flexible tool for network analysis. The method used shows how to solve an analysis or analysis of a problem. This method section uses a literature study which is packaged briefly, clearly and concisely, so that it can be understood well. Another method used is to carry out simulation practices on Wireshark software to get results from a network. This abstract discusses the use of Wireshark in the context of Wi-Fi networks, covering basic Wi-Fi network concepts, monitoring and analysis methods, and security applications. Through careful monitoring and analysis with Wireshark, users can identify network performance issues, detect security threats, and optimize use of their Wi-Fi network. This abstract provides a comprehensive overview of Wireshark's role in understanding and effectively managing Wi-Fi networks.
Analisis Perbandingan Google Home Dan Amazon Alexa Pada Rumah Pintar (Smart Home) Gera Nugraha; Fernando Juliansyah; Farhan Firdaus; Didik Aribowo
Jurnal Sains dan Teknologi Vol. 2 No. 2 (2023): Desember : Jurnal Sains dan Teknologi
Publisher : Fakultas Teknik Universitas Cenderawasih

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58169/saintek.v2i2.250

Abstract

This analysis will help Smart Home users to understand the advantages, disadvantages, and significant differences between these two platforms. With this more in-depth information, users will be able to make smarter decisions in choosing the platform that best suits their needs and preferences in managing their Smart Home.
Analisis Efisiensi Trafo 20 kV/150 kV GT pada PT Indonesia Power PLTU Banten 2 Labuan Unit 1 dan 2 dalam Pengaruh Beban Gera Nugraha; Irwanto, Irwanto
Jurnal Elektronika dan Teknik Informatika Terapan ( JENTIK ) Vol. 3 No. 2 (2025): Juni: Jurnal Elektronika dan Teknik Informatika Terapan (JENTIK)
Publisher : Politeknik Kampar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59061/jentik.v3i2.1080

Abstract

A transformer is an electrical equipment that converts alternating current voltage from low voltage to high voltage or vice versa. At PT Indonesia Power UJP PLTU Banten 2 Labuan, power transformers have an important role in the production of electrical energy and its continuity. The loading pattern of PT Indonesia Power UJP PLTU Banten 2 Labuan varies, mainly due to usage. Residential sector consumers are the intended users of electrical energy. Transformer variable loads experience losses as a result. The loss of iron core can result in excessive heat and vibration in the transformer, thus lowering its efficiency level. This study aims to determine the effect of fluctuating loads on the efficiency value of transformers at PT Indonesia Power UJP PLTU Banten 2 Labuan. By analyzing the ratio of incoming power to outgoing power and the amount of power lost, we can determine how much impact load changes have. Based on the analysis results, the most efficient load is at 08.00 and 12.00 with an efficiency value of 98.16% for unit 1, while for unit 2 it is at 07.00 and 09.00 with a value of 99.59%. The findings of the analysis allow us to draw the conclusion that the efficiency value is always changing as it decreases when the load fluctuates.