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THE STUDY ON VOLTAGE IMPROVEMENT OF MEDIUM VOLTAGE OVERHEAD WIRE BY TRANSFORMER TAPPING SELECTION Sambira, Deksa Mahesa Cipy; Junaidi, Junaidi; Kurnianto, Rudi
Telecommunications, Computers, and Electricals Engineering Journal (TELECTRICAL) Vol 2, No 1: June 2024
Publisher : Faculty of Engineering, Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/telectrical.v2i1.78891

Abstract

One of the problems found in the power system is the change or decrease in voltage caused by the power plant center being far from the load center. This study aims to determine the condition of the voltage drop on the Husein Hamzah Feeder and how the use of tap transformers to reduce the voltage drop. The calculation process is simulated using ETAP 19.0.1 software. Based on the simulation results, in the existing condition, the percentage of voltage at the medium voltage bus still meets PLN standards, while at the low voltage bus there are still buses below the standard with a percentage of voltage drop of 3.48%. After making improvements by increasing the transformer tap, the voltage drop value on the bus has decreased to 3.42%. It can be concluded that after making improvements by increasing the transformer tap, the voltage percentage on the rectifier has met SPLN No.72 of 1987 where the percentage of voltage drop does not exceed 5% of the working voltage.
STUDY ON THE EFFECT OF WATER CONTENTS IN THE DISTRIBUTION TRANSFORMER OIL AGAINST IT'S BREAKDOWN VOLTAGE Manurung, Daniel Julius Pangihutan; Kurnianto, Rudi; Rajagukguk, Managam
Telecommunications, Computers, and Electricals Engineering Journal (TELECTRICAL) Vol 2, No 1: June 2024
Publisher : Faculty of Engineering, Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/telectrical.v2i1.79073

Abstract

The degradation of electrical power quality due to high water content in transformer oil is a critical issue because water in transformer oil can cause insulation degradation, increase electrical conductivity, and accelerate the corrosion process of internal components. This results in a decrease in transformer performance and reliability, and increases the risk of electrical faults or failures that can have far-reaching impacts on the power distribution network. Water damage can also shorten the operational life of the transformer and increase maintenance and component replacement costs. Therefore, testing the breakdown voltage, moisture content, and flash point of distribution transformer oil is very important to determine the feasibility of transformer oil. This study aims to determine the effect of moisture content on breakdown voltage and flash point, as well as the effect of breakdown voltage on flash point. By using the test method of breakdown voltage, moisture content, and flash point is expected to determine the feasibility of transformer oil. The results obtained from the old transforamtor oil (14 years) have a breakdown voltage of 1.3 kV, the transformer oil has been used (2 years) of 24.25 kV, and for the new transformer oil of 34.4 kV. For old transformer oil moisture content of 140.19 ppm, used transformer oil moisture content of 34.03 ppm, new transformer oil moisture content of 26.04 ppm, old transformer oil flash point measurement results of 148 ° C, used transformer oil samples of 150 ° C, and new transformer oil samples of 160.5 ° C. In conclusion, the old and new transformer oil is still suitable for use.
MENDORONG PEREKONOMIAN DESA: MEDIA PROMOSI DIGITAL SEBAGAI PENDORONG PENJUALAN PRODUK STICK UDANG KELOMPOK MENTARI DESA SUNGAI KUPAH Imansyah, Fitri; Sujana, Ivan; Arsyad, M Iqbal; Gianto, Rudy; Pontia, Trias; Kurnianto, Rudi; Pragestu, Steven
Jurnal Abdi Insani Vol 11 No 3 (2024): Jurnal Abdi Insani
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/abdiinsani.v11i3.1647

Abstract

Village economic development is a crucial aspect in improving the welfare of rural communities. In Sungai Kupah Village, the Mentari Group has long produced a local product in the form of shrimp sticks which has great potential for development. However, the main challenges faced are the lack of broad market access and lack of knowledge about digital promotional media to increase sales. This community service aims to encourage the economy of Sungai Kupah Village through digital marketing strategies, especially creating a website and online promotion of local products, namely Shrimp Sticks produced by the Mentari Group. Implementation of this strategy is carried out to increase product visibility, increase sales, and empower village communities in the digital economy. The results of this activity recorded a significant increase in sales of Shrimp Stick products, providing a positive impact on the business group's income and the welfare of group members. Empowering village communities in digital skills is one of the important achievements, enabling them to actively participate in the online market. Digital promotional media, including websites and the use of social media, have succeeded in increasing product visibility locally and regionally. By involving the community in the marketing process, strong cooperation and understanding of the importance of the digital economy in the modern era are created. This activity emphasizes the importance of integrating information and communications technology in rural economic development and inspires similar efforts in other communities. The practical implication is that the use of digital promotional media can be a strong driver in strengthening the local economy and improving the welfare of rural communities sustainably.
Sistem Pendukung Bisnis Wisata di Temajuk, Desa di Perbatasan Indonesia-Malaysia Djafar, Fariastuti; Kurnianto, Rudi; Alimuddin, Andi Hairil
Abdimas Galuh Vol 6, No 1 (2024): Maret 2024
Publisher : Universitas Galuh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25157/ag.v6i1.13255

Abstract

Temajuk merupakan desa wisata pertama di Kabupaten Sambas namun hal tersebut tidak serta merta membuat bisnis wisata di desa ini lebih berkembang. Jumlah wisatawan di Temajuk cukup banyak jauh sebelum resmi menyandang sebutan “desa wisata”. Perkembangan bisnis wisata yang mengandalkan pantai terlihat parsial dan kurang berdampak terhadap warga yang tidak terlibat langsung dalam bisnis tersebut dan desa itu sendiri. PKM ini bertujuan untuk meningkatkan pengetahuan, wawasan dan pemahaman tentang sistem pendukung bisnis wisata.  Kegiatan PKM dimulai dengan melakukan observasi dan wawancara mendalam dengan Kepala Desa dan beberapa warga Temajuk. Pertemuan dengan peserta PKM dilaksanakan pada 4 Desember 2023 di balai pertemuan desa. Kegiatan dihadiri oleh 25 peserta yang seluruhnya adalah wanita. Materi PKM disampaikan dengan metode bercerita yang diselingi dengan tanya jawab. Materi PKM mencakup 1) keindahan desa sebagai pendukung bisnis wisata; 2) kegiatan ekonomi kreatif berbasis komunitas; 3) pemanfaatan internet sebagai media untuk promosi bisnis wisata. PKM di Temajuk telah membuka wawasan peserta tentang perlunya sistem pendukung bisnis wisata. Dalam pertemuan tersebut disarankan kepada peserta untuk meningkatkan pembenahan desa wisata dimulai dari keluarga dan bisnis atau pekerjaan masing-masing. Rembug desa perlu dilakukan untuk membahas tentang pembenahan desa dan tindak lanjut yang diperlukan.  
Diseminasi Dan Implementasi Sistem Optimasi Tekno-Ekonomi Infrastruktur Kabel Perkotaan Berbasis Hybrid Fuzzy–Deep Learning Untuk Mendukung Smart City imansyah, fitri; Arsyad, m.iqbal; yacoub, redi ratiandi; gianto, rudy; kurnianto, rudi
Jurnal Pengabdi Vol. 9 No. 1 (2026): April 2026
Publisher : Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/jplp2km.v9i1.106291

Abstract

Perkembangan konsep Smart City menuntut pengelolaan infrastruktur perkotaan yang berbasis data, terintegrasi, dan efisien. Salah satu permasalahan utama di kawasan perkotaan adalah penataan infrastruktur kabel utilitas yang tidak terorganisasi, sehingga menimbulkan risiko keselamatan, inefisiensi biaya, dan penurunan estetika kota. Kegiatan Pengabdian kepada Masyarakat (PkM) ini bertujuan untuk mendiseminasikan dan mengimplementasikan sistem optimasi tekno-ekonomi infrastruktur kabel berbasis Hybrid Fuzzy–Deep Learning yang terintegrasi dengan analitik spasial (Geographic Information System/GIS). Metode yang digunakan adalah Participatory Action Research (PAR) dengan tahapan identifikasi masalah, pengumpulan data, pengembangan model, implementasi sistem, serta evaluasi. Hasil kegiatan menunjukkan bahwa sistem Decision Support System (DSS) yang dikembangkan mampu meningkatkan efisiensi perencanaan infrastruktur hingga 20–30%, meningkatkan kapasitas SDM mitra (peningkatan pemahaman AI dari 30% menjadi 80%), serta menghasilkan rekomendasi kebijakan berbasis data. Kegiatan ini berkontribusi signifikan terhadap penguatan pilar Smart Governance dan Smart Infrastructure.
Early Lightning Event Detection System Using the LSTM–GRU Architecture at Supadio Airport, Pontianak Pahlefi, Herly; Yacoub, Redi Ratiandi; Kurnianto, Rudi; Suryadi, Dedy; Sanjaya, Bomo Wibowo
ELKHA Vol. 18 No.1 April 2026
Publisher : Faculty of Engineering, Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/elkha.v18i1.104281

Abstract

Frequent thunderstorm activity around Supadio Airport, Pontianak, highlights the need for reliable lightning forecasting to support aviation safety and airport operations. In practice, most lightning systems are still used for detection rather than prediction, while many previous forecasting studies have relied on a single deep learning model, which may limit the ability to capture temporal patterns in meteorological data. Therefore, this study applied a hybrid Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) model to predict lightning occurrences using historical meteorological data from Supadio Airport. The main contribution of this study lies in the development of a hybrid LSTM–GRU framework for airport-scale lightning prediction using station-based historical meteorological data. This setting has received limited attention in previous studies and combined LSTM and GRU within a single framework to improve sequence learning while maintaining computational efficiency, in contrast to previous single-model approaches. The experimental results show that the proposed model achieved a testing accuracy of 0.6716, with an F1-score of 0.71 and a Recall of 0.78 for the dominant lightning class. Although the model still showed limited performance in detecting rare lightning events due to class imbalance, the overall results indicate that the LSTM–GRU model has strong potential as a basis for an airport-scale early warning system and may help support safer, more reliable flight operations.