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Journal : Journal Geuthee of Engineering and Energy

Analisa Pengaruh Letak Lightning Arrester untuk Memproteksi Trafo Daya Terhadap Tegangan Lebih Putra, Andika; Bintoro, Andik; Multazam, Teuku
Journal Geuthee of Engineering and Energy Vol 1, No 1 (2022): Journal Geuthee of Engineering and Energy
Publisher : Geuthèë Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (221.666 KB) | DOI: 10.52626/joge.v1i1.2

Abstract

Seiring dengan meningkatnya konsumen energi listrik di Indonesia, penyaluran energi listrik kepada konsumen di harapkan dapat berjalan dengan lancar. Sistem transmisi dan Gardu Induk merupakan sarana untuk menyalurkan tenaga listrik dari pembangkit hingga ke konsumen, tapi pada kenyataannya jaringan transmisi rentang terhadap gangguan, baik dari internal dan eksternal. Salah satu bentuk gangguang yang sering di alami yaitu gangguang eksternal dan salah satu contohnya ialah gangguang dari petir yang sering kali menyambar jaringan transmisi dan mengakibatkan kerusakan yang fatal bagi peralatan jika tidak di lindungi. Oleh karena itu diperlukan sistem proteksi untuk menangkal gangguan yang sering terjadi. Salah satu bentuk proteksi dari gangguang petir ialah menggunakan lightning arrester, lightning arrester berfungsi untu mengalirkan arus surja petir yang datang kemudian akan di bumikan, sehingga peralatan aman dari gangguang petir. Tujuan dari studi ini adalah untuk mengetahui jarak pemasangan lightning arrester yang efektif pada gardu induk dan melihat besarnya arus petir yang dipotong oleh arrester yang terpasang dengan menggunakan software EMTP. Hasil perhitungan yang didapat bahwa jarak yang efektif untuk pemasangan arrester pada Gardu Induk adalah sejauh 10 m dari trafo daya.
Operation optimization of PLTMG SUMBAGUT 2 peaker 250 MW with homer M Mahlil; Andik Bintoro
Journal Geuthee of Engineering and Energy (JOGE) Vol 2, No 2 (2023): Journal Geuthee of Engineering and Energy
Publisher : Geuthèë Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52626/joge.v2i2.28

Abstract

PLTMG SUMBAGUT 2 peaker 250 MW has 13 generator units in parallel so that it is able to provide power of 239 MW, the generating power capacity per engine unit is 18,407 KW, due to the power usage in the load always changing, the P3B must be able to regulate generator operations automatically , economically, every generator operation requires a large amount of financing, especially fuel usage, fuel usage is one of the things that needs special attention because around 60% of the total operating costs incurred are fuel costs, therefore this research aims to Optimizing load and fuel bearing generators in annual plant operations using Lagrange multiplier methodology is simulated in HOMER ENERGI software, the results of this research are a gas engine system consisting of 13 gas engine generators with a capacity of 18407 kW, obtaining optimal generator results at NPC prices (Net Present Cost) is the lowest, HOMER ENERGI software makes simulation calculations easier, the most optimal system design is based on the lowest total NPC of IDR 5,125,319,000,000.00 from 13 generators, only 6 optimal generator units can produce energy of 117,510,454 KWH per year with a Levelized Cost of Energy (Rp/kWh) of 2,040 and consuming 31,274,527 m3/year of fuel.
The impact of biogas power plant penetration on power system stability in the 20 kV distribution network of Tanjung Pura Ashari, M.Juliansyah; Bintoro, Andik; Multazam, Teuku
Journal Geuthee of Engineering and Energy Vol 4, No 1 (2025): Journal Geuthee of Engineering and Energy
Publisher : Geuthèë Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52626/joge.v4i1.49

Abstract

The penetration of biogas power plants into the distribution network can affect power system stability, particularly in the 20 kV distribution network in Tanjung Pura. This study aims to analyze the impact of biogas power plant penetration on voltage stability and power flow dynamics in the distribution network. A simulation-based approach using ETAP software is employed to evaluate different penetration levels, ranging from low to high. The results indicate that biogas power plant (PLTBg) penetration increases system voltage from the existing 17.92 kV (89.63%) to 18.34 kV (91.73%) at 25% penetration and reaches 19.50 kV (97.50%) at 100% penetration. Under a load increase of 25% to 75%, the voltage without penetration ranges from 17.56 kV (87.80%) to 17.05 kV (85.30%). With gradual penetration, the voltage rises to 17.99 kV (90%)–17.28 kV (86.40%) at 25% penetration and reaches 19.15 kV (95.40%)–18.47 kV (92.30%) at 75% penetration. Additionally, higher PLTBg penetration reduces active power losses but increases reactive power losses, which could compromise network stability if not properly compensated. The optimal condition is observed at 50% loading with 75% penetration, where voltage remains within normal limits while both active and reactive power losses are more stable compared to other scenarios. 
Analysis comparison effect of image capture speed on rice pest detection using yolov 5 and yolov 7 Aldio Reza, Rahmanda; Bintoro, Andik; Multazam, Teuku; Hasibuan, Arnawan; Badriana, Badriana
Journal Geuthee of Engineering and Energy Vol 4, No 2 (2025): Journal Geuthee of Engineering and Energy
Publisher : Geuthèë Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52626/joge.v4i2.66

Abstract

Pest attacks are one of the main causes of declining rice production in Indonesia. To address this issue, this study examines the use of artificial intelligence-based object detection algorithms, namely YOLOv5 and YOLOv7, in a rice pest monitoring system using drones. The main focus of this study is to assess the effect of image capture speed on pest detection results, as well as to compare the performance of the two algorithms in various aspects, such as detection accuracy, speed, and effectiveness in identifying two main types of pests, namely rice stem borers and planthoppers. The applied methodology includes collecting visual datasets from the field, object annotation using Roboflow, training and testing models using the Anaconda Prompt platform, and analyzing the detected images in binary and grayscale forms using MATLAB. Performance evaluation is carried out using Intersection over Union (IoU), mean IoU (mIoU), and visual analysis of pixel heatmaps. The results show that detection speed is affected by variations in image capture height. YOLOv7 has faster processing performance than YOLOv5, with a capture time of 0.82 s–1.41 s, while YOLOv5 is in the range of 1.15 s–1.47 s. Accuracy evaluation through IoU and mIoU calculations produces consistent values in each frame. The YOLOv5 model obtained an IoU = 0.8711 and mIoU = 0.8711, while YOLOv7 also achieved an IoU = 0.8711 and mIoU = 0.8711. Both models showed a high balance of prediction areas, but YOLOv7 was superior in terms of time efficiency and performance stability at various heights. This research provides an important contribution to the development of AI-based precision agriculture systems, especially in detecting pests automatically and in real-time to improve pest control efficiency and agricultural productivity in Indonesia.
Co-Authors -, Badriana -, Bakhtiar Adil Maulana Iksan Adinda Sabrina Suli Afrah, Afrah Akbar, Abdul Hanif Akmal Sujudi Al-Ani, Waleed Khalid Ahmed Aldio Reza, Rahmanda Ananda, Rizky Andika Putra Angga Pratama Ari Nrartha Arnawan Hasibuan Ashari, M.Juliansyah Asran Asran Asran Asri Asri Asri asri Atthaillah, Atthaillah Badriana, Badriana Biswas Babu Pokhrel Burhanuddin Burhanuddin Cut Ita Erliana Dahlan Abdullah Dedi Fariadi Deuria Keumala Elfiana Ezwarsyah Ezwarsyah Ezwarsyah Fadliani Fahmi, Mulqi Mauli Fuadi, Wahyu Furqaranda, Rastra Habib Muharry Yusdartono Hafli, Mudi Handasah, Ummu Hari Pratama Barus Hartono Hartono Ilma, Miftahul Indra Syahputra, Wahyu Irvan Fathur Rahman Irwansyah, Defi Israq Israq Kraugusteeliana Kraugusteeliana Lubis, Fauzan Arbi M Mahlil Maidika, Beni Meutia, Rizka Dwi Misbahul Jannah Miswar, Edi Muchlis Abdul Muthalib Muhammad Daud Muhammad Ikhwani Muhammad Ikhwanus Muhammad Imran Muhammad Muhammad Muhammad Reza Muhammad Sadli, Muhammad Muhammad Syakirman Muhammad, Muhammad Muhibuddin Muhibuddin, Muhibuddin Mutammimul Ula Muthmainnah Muthmainnah N. Nazaruddin Nasution, Aminulsyah Nasution, Habibi Azka Pendriadi Pendriadi Qori Dermawan Raihan Putri Rizky Zuliyansyah Romi Agustian Rosdiana Rosdiana Rozzi Kesuma Dinata Ruslizar, Ruslizar Safwandi Safwandi Salahuddin Salahuddin Sartika Yanti Sayed Fachrurrazi Selamat Meliala Shrestha, Ashish Sitorus, Muhammad Hafiz syarifah asria nanda, syarifah asria Syhari, Alfi Syibral Malasyi, Syibral Tengku Farhan Fadillah Teuku Multazam Triwahyono, Bambang Ummi Kalsum Waleed Khalid Ahmed Al-Ani Yulisda, Desvina Yusra, Muhammad Zahratul Fitri, Zahratul Zainal Abidin Zakia, Syarifah Zalfie Ardian Zulfahmi Zulfahmi Zulyanti, Fetty