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Analisis Sistem Koordinasi Proteksi DGR (Directional Ground Relay) pada Penyulang Parengan PLN UP3 Mojokerto untuk Mengatasi Gangguan Sympathetic Kalandro, Guido Dias; Prasetyono, Suprihadi; Afif, Muhammad
Jurnal Arus Elektro Indonesia Vol 9 No 3 (2023)
Publisher : Fakultas Teknik, Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/jaei.v9i3.25790

Abstract

Kestabilan sistem tenaga listrik pada penyulang parengan sangat penting untuk memenuhi kebutuhan masyarakat karena merupakan daerah padat penduduk, oleh karena itu dibutuhkan sistem koordinasi proteksi yang handal agar kontinuitas sistem berjalan dengan baik. Penyulang parengan pada gardu induk Sekarputih merupakan distribusi tenaga listrik 20 kV menggunakan sistem NGR (neutral ground resistance) dengan tahanan tinggi sebesar 500 Ohm untuk pertanahannya, sehingga arus gangguan 1 fasa ke tanah maksimum sebesar 23.09 A. Penelitian kali ini membahas tentang koordinasi proteksi relai OCR (overcurrent relay) dan GFR (ground fault relay) dalam mengatasi gangguan hubung singkat 1 fasa ke tanah. Namun pada kasusnya terdapat gangguan lain saat terjadi gangguan hubung singkat 1 fasa ke tanah yaitu gangguan sympathetic trip. Gangguan ini merupakan gangguan tripping oleh CB (circuit breaker) pada penyulang terdekat dari penyulang yang terjadi gangguan 1 fasa ke tanah, sehingga untuk mengatasinya diperlukan proteksi arah yaitu relai DGR (directional ground relay). Metode yang digunakan adalah analisis kurva sistem koordinasi proteksi menggunakan software ETAP 16.0.0, dimana pada pengujiannya dilakukan analisis perbandingan antara relai ketika tidak diberi proteksi arah dan relai saat diberi proteksi arah dengan memberikan 3 titik gangguan yang berbeda. Dari hasil penelittian diketahui bahwa proteksi arah relai DGR dapat mengatasi gangguan sympathetic trip dengan besar sudut 45° dan arah forward.
Peramalan Beban Jangka Panjang pada Gardu Induk Bangil dengan Metode Generalized Regression Neural Network Fathurrozi, Anggit; Kalandro, Guido Dias; Rizal Chaidir, Ali; Prasetyono, Suprihadi; Gozali, Moch
Techné : Jurnal Ilmiah Elektroteknika Vol. 23 No. 2 (2024)
Publisher : Fakultas Teknik Elektronika dan Komputer Universitas Kristen Satya Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31358/techne.v23i2.461

Abstract

Given the rising energy demands, the existing electrical infrastructure, notably distribution transformers 3 and 4 at the Bangil Substation, faces the risk of overload. Accurate load forecasting is imperative to inform timely interventions like transformer replacement. This study aims to forecast the load for Transformers 3 and 4 at the Bangil Substation using 2 difference methods, comparing Feed Forward Backpropagation Neural Network (FFBNN) and Generalized Regression Neural Network (GRNN). This research also evaluates potential transformer overloads based on forecasted peak loads. This research employed a STL Decomposition to decompose monthly peak load data in each transformer into trend, seasonal and residual components and developing forecasting model for each transformer trend component data. Simultaneously, separate forecasting models were developed for the Gross Regional Domestic Product (GRDP) and the Industrial Sector of GRDP. The forecasted trend components from the transformer data were combined with the GRDP and Industrial Sector of GRDP forecasts using an approximation model. This approach aimed to approximate the monthly peak load more accurately, incorporating both energy demand trends and economic indicators. The forecasting models' accuracy was gauged using Mean Absolute Percentage Error (MAPE) and Mean Absolute Error (MAE). The analysis indicates that Transformer 3 is projected to reach overload by August 2038, with a forecasted peak load of 1407.7465 A. Conversely, Transformer 4 is expected to experience overload by February 2028, with a peak load of 1269.2173 A. FFBNN exhibited superior accuracy for Transformer 3, recording a MAPE of 10.522% and MAE of 74.204. In contrast, GRNN displayed better performance for Transformer 4, achieving a MAPE of 6.051% and MAE of 46.557. Timely interventions, such as transformer replacement, are essential to mitigate potential overloads. The research underscores the importance of employing tailored forecasting approaches, emphasizing the peak load transformer data with economic indicators for more precise load approximations
PENGARUH TEKNOLOGI PEMBERI PAKAN IKAN OTOMATIS TERHADAP KUALITAS HASIL BUDIDAYA IKAN NILA Chaidir, Ali Rizal; Herdiyanto, Dedy Wahyu; Eska, Andrita Ceriana; Kalandro, Guido Dias
Jurnal Teknologi Perikanan dan Kelautan Vol 16 No 1 (2025): FEBRUARI 2025
Publisher : Fakultas Perikanan dan Ilmu Kelautan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24319/jtpk.16.44-51

Abstract

Fish culture has an important role in achieving food security in Indonesia. Tilapia is one of the fish that can be obtained through aquaculture activities. Several factors influence the growth of tilapia, such as water quality, feeding process, and quality of the feed provided. Too little feed can cause tilapia to experience slow growth, while too much feed can cause poor water quality because food is not eaten or eaten too late. The objective of this study is to analyze the use of an automatic feeder compared to conventional methods. The results can be a viable option for specific fish culture practices to achieve optimal yields. The results of the application of technology show that the feed conversion ratio reached 97.6%, the survival rate reached 94.4%, and the specific growth rate reached 3.58%. This is better compared to several other treatments in fish culture, so it can result in faster harvest results with efficient use of feed and maximum harvest quantity.
Fruit Sorting System for Oranges Based on Size and Color Using Fuzzy Logic Ali Rizal Chaidir; Panji Eka Prasetya; Arizal Mujibtamala Nanda Imron; Immawan Wicaksono; Guido Dias Kalandro; Gramandha Wega Intyanto
Journal of Educational Engineering and Environment Vol. 3 No. 1 (2024): Journal of Educational Engineering and Environment
Publisher : Fakultas Teknik Universitas PGRI Banyuwangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36526/jeee.v3i1.3815

Abstract

Along with advances in technology, the use of human labor in managing agricultural products is decreasing because it has been replaced by robots. Robots perform better than human workers who have emotions and need time to rest. This can cause errors when sorting fruit due to lack of concentration caused by fatigue. The large harvest of oranges takes a long time to sort them, starting from color, size, weight, and price, before they are marketed. To make it easier for farmers to sort their harvest from orange fruit, this research was created titled "Citrus Fruit Sorting System Based on Size and Color Based on Fuzzy Logic." The sorting system based on color and size that will be made has the advantage that the fruit being sorted is more varied because it is equipped with fuzzy logic. Fuzzy logic allows membership values between 0 and 1, levels of gray as well as black and white, and in linguistic form, uncertain concepts such as "a little," "fairly," and "very." Apart from that, the system is made more human-friendly because the rule base is created by humans. The sorting tool that was made to be controlled using an Arduino UNO board with the help of Arduino IDE software managed to obtain a success rate of 62.5% for the low and medium-quality classes and a success rate of 87.5% for the high-quality class with an overall average success rate of 70.8 %.
RANCANG BANGUN SISTEM PENDINGIN PANEL SURYA OTOMATIS UNTUK PENINGKATAN PEMANENAN ENERGI LISTRIK Kalandro, Guido Dias; Gumilang, Laksana Fajar; Sujanarko, Bambang; Muhammad Riza Darmawan; Setiabudi, Dodi; Moh. Erdianto Triputradi
Jurnal Arus Elektro Indonesia Vol. 11 No. 1 (2025)
Publisher : Fakultas Teknik, Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/jaei.v11i1.46455

Abstract

Potensi energi matahari sebagai sumber energi alternatif yang ramah lingkungan, khususnya dalam konteks penggunaan panel surya dan sistem pendingin otomatis. Eksperimen ini bertujuan merancang sistem otomatis pendingin panel surya dengan sirkulasi tertutup menggunakan Arduino Uno. Panel surya yang digunakan memiliki kapasitas 20WP berjenis polikristalin, dan sistem pendingin menggunakan pipa tembaga berdimensi 3/8 Inch dan panjang 6,11 meter dengan watercoolant sebagai pendinginnya. Hasil pengujian menunjukkan bahwa sistem pendingin berhasil menjaga suhu panel surya dalam rentang 33°C hingga 36°C, memberikan perbedaan 10°C hingga 20°C dengan panel surya tanpa pendingin pada intensitas cahaya yang sama. Panel surya berpendingin menunjukkan peningkatan tegangan, arus, dan daya, dengan rata-rata 1 Volt hingga 2 Volt, 0,1 ampere hingga 0,2 ampere, dan 1watt hingga 2 watt lebih tinggi. Efisiensi panel surya juga meningkat sekitar 1-3%. Penelitian ini memberikan kontribusi pada pemahaman tentang pemanfaatan energi matahari dan efektivitas sistem pendingin dalam meningkatkan efisiensi pemanenan energi listrik dari panel surya. Kata Kunci — Panel Surya, Sistem Pendingin Otomatis, Pipa Tembaga
OPTIMASI KOORDINASI OVER CURRENT RELAY PENYULANG KLAKAH GI LUMAJANG MENGGUNAKAN METODE ARTIFICIAL BEE COLONY Kalandro, Guido Dias; Kaloko, Bambang Sri; Ananta, Argya
Jurnal Arus Elektro Indonesia Vol. 11 No. 2 (2025)
Publisher : Fakultas Teknik, Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/jaei.v11i2.51082

Abstract

Pentingnya keamanan sistem proteksi seperti Optimasi Koordinasi akan berpengaruh pada keandalan sistem keamanan. Dengan menggunakan kecerdasan tiruan Artificial Bee Colony dinilai dapat mengoptimalkan waktu operasi membutuhkan kinerja waktu yang lebih cepat. Penelitian ini menggunakan Matlab sebagai software untuk melakukan pemrograman simulasi. Titik Zona untuk lokasi simulasi gangguan digunakan 5 zona proteksi persentase jarak pada 0%, 4%, 30%, 54%, 78% dan 100%. Didapat koordinasi pada zona 3 metode ABC dengan CTI 0.2197 s dan pada konvensional CTI 0.2779 s. Sedangkan rata-rata pengaruh waktu operasi dengan nilai TMS pada konvensional zona 1 adalah 0.1358 s dan pada ABC adalah 0.1381 s. Hasil ABC cukup efektif dalam selisih perbantingan waktu koordinasi untuk pengoptimalan sebagai penanganan gangguan sistem proteksi.