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All Journal Jurnal Manajemen Bisnis PROSIDING SENATEK FAKULTAS TEKNIK UMP Jurnal Ilmiah Dinamika Rekayasa (DINAREK) JRST (Jurnal Riset Sains dan Teknologi) Jurnal Teknik Elektro dan Komputer TRIAC JPPM (Jurnal Pengabdian dan Pemberdayaan Masyarakat) Jurnal Riset Rekayasa Elektro Proceedings Series on Physical & Formal Sciences Journal of Comprehensive Science Prosiding University Research Colloquium Jurnal Pengabdian Teknik dan Sains (JPTS)
Winarso Winarso
Universitas Muhammadiyah Purwokerto
Humanities Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mechanical Engineering Medicine & Pharmacology Public Health Social Sciences

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Journal : Proceedings Series on Physical

 1 
Prakiraan Beban Puncak Pada Transformator GITET 150 kV Kesugihan Cilacap Menggunakan Jaringan Syaraf Tiruan Multilayer Feedforward Dengan Algoritma Backpropagation Dimas Aditia Dicki; Winarso Winarso
Proceedings Series on Physical & Formal Sciences Vol. 1 (2021): Proceedings of Smart Advancement on Engineering and Applied Science
Publisher : UM Purwokerto Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (651.851 KB) | DOI: 10.30595/pspfs.v1i.127

Abstract

The increasing population and the growth of the industrial world, offices, hotels, and modern markets must be directly proportional to Indonesia's availability of electrical energy. The availability of sufficient electrical energy can affect the quality of life of the people and foster investor confidence in our country. Studies on the prediction (estimation) of peak electrical loads in electricity in Indonesia can be carried out using the Artificial Neural Network (ANN) method. The estimation of electricity load for the next 5 years is strongly influenced by several parameters, including population growth and peak load data of 150 kV GITET, Kesugihan Cilacap. This study took population data and peak load data at GITET 150 KV Kesugihan Cilacap in the past 5 years. The data used in this study were actual data, starting from 2015 to 2019. To display the results of the estimated electrical load on the 150 kV GITET transformer, the authors used the artificial neural network method. The peak electrical loads estimation results using artificial neural networks for electricity loads in the next 5 years, to wit from 2020 - 2024. The estimated peak load in Lomanis District is20.0311 MW, 24.443 MW, 19.9707 MW, 19.9705 MW and 19, 9705 MW. In Gombong District, the estimated peak load is 57,398 MW, 57,472 MW, 57,476 MW, 57,474 MW, and 57,479 MW.
Evaluasi Sistem Proteksi Penangkap Petir pada Gedung Rektorat dan Gedung KH AR Fachruddin di Lingkungan Universitas Muhammadiyah Purwokerto Winarso, Winarso; Ridho, Zyon
Proceedings Series on Physical & Formal Sciences Vol. 6 (2023): Prosiding Seminar Nasional Teknik (SENATEK) 2023
Publisher : UM Purwokerto Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30595/pspfs.v6i.859

Abstract

Universitas Muhammadiyah Purwokerto has numerous buildings, including the rectorate and the 55.27-meter-tall K.H. A.R. Fachruddin building, that could be struck by lightning and as a result, it require an efficient lightning arrester system (SPP). This study aims to evaluate the building's lightning safety level in compliance with SNI 03-7015-2004, the General Regulations for Lightning Protection Installation (PUIPP), and the building's lightning arrester system's state. Direct measurements of building structures, lightning arrester system components, lightning arrester conditions, and soil resistance are employed to collect research data using the observational approach. The study calculates the degree of protection in structures in accordance with the General Regulations for Lightning Protection Installation (PUIPP) standards and determines the value of the protection range using SNI 03-7015-2004. Both the KH AR Fachruddin building and the rectorate building have an R index of 14, which means that they both desperately need an efficient lightning arrester. The Rector building's system is only 75% effective, compared to 91% in the KH AR Fachruddin building.
Co-Authors Abdul Jabar , Cepi Safruddin Abi Aditya Triyanda Burhanul Aziz Dian Nova Kusuma Hardani Dimas Aditia Dicki Ibnu muhammad Nur Itmi Hidayat Kurniawan Joko Pamungkas M. Taufiq Tamam Muhammad Yusuf Yusuf Ningrum, Nur Cahaya Panuntun, Andhika Buang Ridho, Zyon Sampurno, Toto Pribadi Samsul Maarif Sutiyem, Sutiyem Teguh Julianto Teguh Marhendi Wakhyu Dwiono Widodo, Bagas Yoga Yunarto, Yoga