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All Journal TRANSIENT: Jurnal Ilmiah Teknik Elektro Journal of Indonesian Law (JIL) Journal of International Multidisciplinary Research Journal of Scientific Interdisciplinary
Karnoto Karnoto
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Electrical & Electronics Engineering Law, Crime, Criminology & Criminal Justice Other

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Strategi Normativitas Pembatasan Terpidana dalam Proses Pemilihan Umum di Indonesia Karnoto Karnoto
JIL : Journal of Indonesian Law Vol 1, No 1 (2020)
Publisher : State Institute of Islamic Studies (IAIN) Salatiga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18326/jil.v1i1.53-74

Abstract

The polemic of ex-convict candidates for legislative members has given special attention to academics and the general public. In this case, the polemic lies in the overlap between regulations number 7 of 2017 about General Elections and Regulation of Election Commission number 20 of 2018 about the nominations of DPR, provincial DPRD and Regency / city DPRD members. The core problem in the regulation is the limitation of political rights for ex-convicts (Croupier of Drugs, Sexual Crimes against Children and Corruption). Whereas the higher level regulation does not limit this. This research is a library research. Namely research that uses all sources of research from books, journals, articles, research, laws, and from the internet. After the sources are obtained and then analyzed using related theories. This research focuses on the normativity strategy that should have been carried out and applied by the general election commission in limiting former convicts in the 2019 general election. The normativity strategy that should be carried out by the general election commission on the limitation of convicted persons in general elections in Indonesia is the making of regulations relating to the submission of honesty to the public that those who nominate themselves as prospective legislative candidates are ex-convicts. One of the strategies that must be regulated in the regulation is, Submission to the public through social media, in this case the delivery must be regulated more stringently and in more detailed procedures, because it is feared that political actors whose status as ex-convicts only pay to one television station and get a certificate or proof. However, the provision of information is not broadcast on the television station, and so forth.
OPTIMASI PERENCANAAN PLTS ON GRID SYSTEM DI GOR JATIDIRI SEMARANG MENGGUNAKAN SOFTWARE HOMER Siti Zumrotun Khoiroh; Bambang Winardi; Karnoto Karnoto
Transient: Jurnal Ilmiah Teknik Elektro TRANSIENT, VOL. 8, NO. 4, DESEMBER 2019
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/transient.v8i4.289-297

Abstract

Kawasan Jatidiri Semarang memiliki arena olahraga yang terdiri dari Stadion jatidiri untuk olahraga outdoor dan Gor Jatidiri untuk olahraga indoor. GOR Jatidiri merupakan gedung yang digunakan oleh masyarakat sebagai sarana olahraga seperti futsal, volly, basket, dan olahraga lainnya. GOR Jatidiri memiliki kapasitas 5.187 penonton dan memiliki area parkir seluas 5960,34 M2 . Area parkir tersebut yang akan direncanakan untuk pemasangan PV pada perencanan PLTS ini. Secara Geografis Lokasi GOR Jatidiri berada di wilayah Kelurahan Karangrejo, Kecamatan Gajahmungkur Semarang Jawa Tengah. Menurut National Aeronautics and Administration (NASA), Lokasi GOR Jatidiri memiliki rata-rata intensitas radiasi sebesar 5,539 Kwh/m2/hari. Hasil perhitungan perancangan PLTS didapat jumlah kapasitas panel surya sebesar 261 x 320 Wp, dan Inverter sebesar 100.000 Watt . HOMER berfungsi untuk membandingkan beberapa opsi konfigurasi yang berbeda dari sudut pandang teknis dan ekonomis. HOMER diharapkan dapat mengetahui konfigurasi sistem PLTS yang optimal. Hasil simulasi menggunakan HOMER menjelaskan bahwa konfigurasi PLTS yang optimal untuk GOR jatidiri Semarang adalah konfigurasi photovoltaic -grid dengan daya yang dihasilkan oleh panel surya sebesar 115,009 kWh/tahun. Hasil energi yang berlebih dari PLTS akan dijual ke PLN untuk kemudian menjadikan keuntungan sistem dari sisi teknis dan ekonomi. 
Analysis Of Load Balance In 20 Kv Distribution Systems On Power Losses Bambang Winardi; Karnoto Karnoto; Ajub Ajulian ZM
Journal of International Multidisciplinary Research Vol. 2 No. 10 (2024): Oktober 2024
Publisher : PT. Banjarese Pacific Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62504/jimr892

Abstract

Load balancing is one of the things that must be considered by reducing the value of voltage drops or power losses that occur in distribution channels. It is necessary to know the characteristics of the load in an area or area with a balanced supply so that each phase is burdened evenly. Calculating the voltage drop on the distribution network conductors, the voltage drop on the KBN09 Slawi feeder was calculated. What will be calculated here is from the line to the transformer furthest from the GI, namely from the three-phase 20 kV main line, single-phase branching. The results of power calculations from GI Kebasen Tegal show differences between R, S and T phases with three 20 kV phases in pre-balance and post-balance conditions. As written, the value for R wire is 82661.52 W, for S 52613 W, while for the T phase the value is 60127.06 W. Meanwhile, the calculation of power losses from GI Kebasen Tegal shows differences between the R, S and T phases with 1 phase voltage in the conditions before balance and after balanced. On the 3-phase line for the R wire, the power loss decreases from 34,198 W to 17,0425 W, for S it increases from 11,540 W to 19,077 W, while for the T phase the value remains 15,274 W.
Daily Peak Load Forecasting At PT. PLN Uses Anfis(Adaptive Neuro-Fuzzy Inference System) Susatyo Handoko; Karnoto Karnoto
Journal of Scientific Interdisciplinary Vol. 2 No. 3 (2025)
Publisher : PT. Banjarese Pacific Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62504/jis1250

Abstract

The demand for electrical energy continues to rise with the progression of time. This growth must be matched by a reliable and cost-effective supply of electricity, requiring power systems that are both dependable and economical. Since the amount of electricity consumed by users cannot be precisely predicted, balancing generation with consumption necessitates accurate electrical load forecasting. This study focuses on load forecasting using the Adaptive Neuro-Fuzzy Inference System (ANFIS) method. The forecast developed targets daily peak loads, which fall under short-term load forecasting. The data used for this forecasting consists of historical daily peak loads from January 1, 2017, to June 9, 2022. The forecasting process involves parameters such as radius, squash factor, accept ratio, reject ratio, and epoch. The forecast accuracy is evaluated using the Mean Absolute Percentage Error (MAPE) metric. The results are then compared with PLN’s load forecasting, which employs the load coefficient method. The ANFIS-based forecasting achieved a MAPE of 1.879%, using networks Jaringan_24 and Jaringan_25. This MAPE value is slightly lower than PLN’s load forecasting MAPE of 1.917%, indicating better accuracy by the ANFIS method.
Co-Authors Ajub Ajulian ZM Bambang Winardi Siti Zumrotun Khoiroh Susatyo Handoko