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All Journal Energi & Kelistrikan Indonesian Journal of Electrical Engineering and Computer Science
Dimas Aditama
Universitas Sultan Ageng Tirtayasa
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering

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Sistem Kendali On/Off Circuit Breaker 150 kV AD20 Tipe 8DN2 di PT. Krakatau Daya Listrik Endi - Permata; Dimas Aditama
Energi & Kelistrikan Vol 12 No 1 (2020): Energi dan Kelistrikan: Jurnal Ilmiah
Publisher : Sekolah Tinggi Teknik PLN

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (333.955 KB) | DOI: 10.33322/energi.v12i1.920

Abstract

In the transmission and distribution system at PT. Krakatau Daya Listrik there is a security system created. In this case Circuit Breaker (CB), which is a security installation of the electricity network. CB that is used is GIS (Gas Insulated Switchgear) type where CB uses SF6 gas (Sulfurhexaflouride) as an insulating medium to extinguish the arc. This research itself aims to understand how the 150 kV GIS AD20 On / Off Circuit Breaker process control system at PT. Krakatau Daya Listrik and how the work processes, instrumentation, advantages and disadvantages and maintenance of the 150 kV GIS AD20 Circuit Breaker at PT. Krakatau Electric Power. Using research methods directly in the field with interviews and analysis. The results of this study are in the form of an understanding of CB operating systems that can be turned on both locally and via remote control and also the results of routine CB maintenance as an indication of the appropriateness of the equipment for operation so that from the associated analysis can be known the strengths and weaknesses of the device, especially the circuit breaker type GIS.
Simulating the Covid-19 epidemic event and its prevention measures using python programming Mustofa Abi Hamid; Dimas Aditama; Endi Permata; Nur Kholifah; Muhammad Nurtanto; Nuur Wachid Abdul Majid
Indonesian Journal of Electrical Engineering and Computer Science Vol 26, No 1: April 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v26.i1.pp278-288

Abstract

A simulation is needed to observe and indicate how much preventive measures influence the pandemic flow, controlling and stopping it. This study succeeded in making a stochastic susceptible infected recovered deceased (SIRD) simulation using Python programming language to determine the effectiveness of prevention methods such as masks policy, social distancing, vaccination, quarantine, and lockdown. Every preventive measure is modeled based on an equivalent actual event and every essential aspect that affects the course of the pandemic. A person is represented as a circle moving freely in two-dimensional space, and disease spreads through person-to-person contact. This simulator then tested using parameters to simulate COVID-19 and found significant results between communities that implement preventive measures and those that do not. We found that within 106 days, 284 people were infected, but when five preventive methods are applied for a total of 33 days, only 31 people were infected. Adequate to simulate epidemic events and their prevention measures, this simulator can also be used as a learning tool with factors in epidemic events such as population density, mobility, infection rate, disease mortality, and every effect of each preventive measure. Users can change and influence the simulation course using interactive and straightforward software tools.
Co-Authors Endi Permata Endi Permata Muhammad Nurtanto Mustofa Abi Hamid Nur Kholifah Nuur Wachid Abdul Majid