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Analisis Kinerja Antena DVOR di Bandara Kualanamu Ridwan, Achmad; Arif, Ahmad; Nugraha, Yoga Tri; Othman, M.A.
Journal of Electrical Engineering and Computer (JEECOM) Vol 6, No 1 (2024)
Publisher : Universitas Nurul Jadid

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/jeecom.v6i1.8534

Abstract

Sistem navigasi udara sangat penting bagi pergerakan pesawat yang aman dan efisien, serta memberikan panduan penting selama berbagai fase penerbangan. Doppler VHF Omnidirect Range (DVOR) adalah perangkat navigasi yang diperlukan dan memiliki kemungkinan tak terbatas untuk mengarahkan pesawat ke bandara. Efek Doppler adalah pendekatan penelitian yang digunakan dalam penelitian ini. Proses pengiriman informasi frekuensi yang dipancarkan DVOR ke pesawat menghasilkan frekuensi yang berbeda-beda akibat adanya efek Doppler yang disebabkan oleh sudut datang pesawat sehingga gelombang yang dihasilkan tidak berbentuk sinusoidal yang terlalu sempurna, namun frekuensi DVOR akan menghasilkan 112299595 Hz, dengan membentuk sistem OBS pada pesawat yaitu 187 derajat yang artinya menunjukkan posisi suatu bandara.
Modelling Demand for Energy Sources as Alternative Energy in the Province of North Sumatra Nugraha, Yoga Tri; Irwanto, Muhammad
Journal of Renewable Energy, Electrical, and Computer Engineering Vol. 2 No. 2 (2022): September 2022
Publisher : Institute for Research and Community Service (LPPM), Universitas Malikussaleh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/jreece.v2i2.9278

Abstract

Energy is needed to support daily human activities. Energy usage for the necessities of life is always increasing every year. So far, the energy used comes from fossils, namely coal and oil. Every year fossil energy reserves are decreasing. To overcome these problems, a potential alternative energy source that can replace fossil energy is needed, namely renewable energy. Potential of renewable energy is one of the alternative sources of energy supply and security in the Province of North Sumatra. To ensure the resilience of renewable energy to run sustainably. It is necessary to analyze the potential of renewable energy in North Sumatra by using the Long-range Energy Alternatives Planning System. The results obtained show that North Sumatra has a great potential of energy sources as alternative energy, namely hydro energy and wind energy. It is forecasted that for the year 2027, hydro energy has a potential growth of 3,7 million megawatt-hours and wind energy has a potential growth of 2,2 million megawatt-hours.
RETRACTED: Analysis of the Effect of Lightning Strikes on Travelling Wave Signal (TWS) in Determining Interference Points on 150 kV Transmission Lines (Glugur-Paya Geli Substation) Laia, Frengki Ditus; Manalu, Harry Hendra; Nasution, Farsya Alfitri; Dachi, Rinistin; Gultom, Immanuel Roni; Nugraha, Yoga Tri
Journal of Renewable Energy, Electrical, and Computer Engineering Vol. 3 No. 1 (2023): March 2023
Publisher : Institute for Research and Community Service (LPPM), Universitas Malikussaleh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/jreece.v3i1.9395

Abstract

This paper has been found to be in violation of the Journal of Renewable Energy, Electrical, and Computer Engineering (JREECE) of the publication principles and has been retracted.Reasons for withdrawal: There has been a conflict of ownership in this manuscript, so carefully concerns and considered review of the article published in Journal of Renewable Energy, Electrical, and Computer Engineering (JREECE) to article entitled Analysis of the Effect of Lightning Strikes on Travelling Wave Signal (TWS) in Determining Interference Points on 150 kV Transmission Lines (Glugur-Paya Geli Substation) Vol 3, No 1, pp. 1-5, March 2023, DOI: https://doi.org/10.29103/jreece.v3i1.9395The document and its content has been removed from Journal of Renewable Energy, Electrical, and Computer Engineering (JREECE), and reasonable effort should be made to remove all references to this article.
Exploring the World of Islamic Banking: Getting to Know, Accept, and Use Ni'Mah, Heni Sholikhatun; Nestovani, Eldora Christabel; Nugraha, Yoga Satria; Sayekti, Dania Tutra Eka
Journal of Islamic Economy and Community Engagement Vol. 4 No. 1 (2023)
Publisher : FEBI UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/jiecem.2023.4.1.1912

Abstract

The majority of Indonesia's population is Muslim, which means that it has great potential to become a center for the development of Islamic finance, including Islamic banking. However, the results of an OJK survey found that only 21.48% of Indonesia's population is classified as well-intentioned. This shows the low level of financial literacy of the Indonesian people. It can be said that the development of Islamic finance in Indonesia which is still relatively low is due to the lack of financial literacy of the people. Therefore, this service aims to provide additional insight regarding the introduction of Islamic banking, products produced by Islamic banking, the benefits of using Islamic banking. It is hoped that with this discussion of information, public understanding regarding Islamic banking will increase. To carry out these activities, our team disseminates understanding of Islamic banking by providing information and opening discussions through posts we make on Instagram. In the future, it is hoped that the public will be able to pass on this information to a wider audience and be able to use Islamic banking wisely.
Analisis Penerapan Artificial Intelligence Algoritma Fuzzy Logic pada Sistem Monitoring Air Radiator Mobil Wardani, Sumita; Tri Nugraha, Yoga
Jurnal Sistem Informasi Triguna Dharma (JURSI TGD) Vol. 4 No. 6 (2025): EDISI NOVEMBER 2025
Publisher : STMIK Triguna Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53513/jursi.v4i6.12332

Abstract

Radiator merupakan salah satu komponen kendaraan bermotor yang harus diprehatikan bagi pengendara, khususnya mobil. Hal ini dikarenakan dapat berakibat pada kerusakan fatal yang dapat mempengaruhi komponen lainnya. Kerusakan pada mobil sendiri menimbulkan resioka kecelakaan serta biaya perbaiakan yang cukup mahal. Oleh karena itu dengan memanfaatkan kemajuan teknologi monitoring dengan menerapkan kecerdasan buatan (artificial intelligence) dapat dilakukan di masa sekarang. Salah satu algoritma yang diterapkan adalah logika Fuzzy, atau dikenal juga sebagai metode abu-abu. Dengan memonitoring level air radiator serta suhu maka algoritma ini dapat diimplementasikan. Dari penelitian ini diperoleh analisis kondisi dari kedua inputan yakni level air dan suhu dapat dijadikan patokkan dalam memonitoring radiator dalam kondisi baik atau tidak. Sehingga pengendara lebih mudah dalam memonitoring kondisi radiator tanpa harus memeriksa langsung mobil yang dikendarai. Hal ini akan meningkatkan efektifitas dan efesiensi dalam memonitoring salah satu komponen penting dalam sebuah kendaraan, khususnya mobil.
Prakiraan Produksi Energi Listrik PLTA di Sumatera Utara Menggunakan Adaptive Neuro-Fuzzy Inference System (ANFIS) Alqadri Wardana, Wisnu; Mawardi; Tri Nugraha, Yoga; Novalianda, Sari
Impression : Jurnal Teknologi dan Informasi Vol. 4 No. 3 (2025): November 2025
Publisher : Lembaga Riset Ilmiah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59086/jti.v4i3.1269

Abstract

Kebutuhan energi listrik di Sumatera Utara terus mengalami fluktuasi seiring pertumbuhan penduduk dan perkembangan industri, sehingga perencanaan konsumsi listrik yang akurat sangat diperlukan untuk menjaga keandalan pasokan. Penelitian ini menerapkan Adaptive Neuro-Fuzzy Inference System (ANFIS) untuk memprediksi konsumsi energi listrik di wilayah Sumatera Utara dengan menggunakan data historis periode 2018–2024. Data aktual dibandingkan dengan hasil prediksi model untuk mengevaluasi akurasi menggunakan indikator Mean Absolute Error (MAE), Root Mean Square Error (RMSE), dan Mean Absolute Percentage Error (MAPE). Hasil evaluasi menunjukkan nilai MAE sebesar 0,00057, RMSE sebesar 0,00139, dan MAPE hanya 0,00012%, yang menandakan tingkat kesalahan prediksi sangat kecil. Proyeksi hingga tahun 2029 memperlihatkan tren konsumsi listrik yang cenderung meningkat kembali setelah mengalami penurunan pada tahun 2022–2023, dengan lonjakan signifikan pada tahun 2024. Hal ini menunjukkan bahwa ANFIS mampu mengikuti pola historis dengan baik serta memberikan hasil prakiraan yang presisi dan dapat diandalkan. Dengan demikian, metode ANFIS dapat digunakan sebagai dasar perencanaan energi jangka pendek untuk mendukung strategi penyediaan listrik yang efisien dan berkelanjutan di Sumatera Utara.   The electricity demand in North Sumatra continues to fluctuate along with population growth and industrial development, so accurate electricity consumption planning is essential to maintain supply reliability. This study applies the Adaptive Neuro-Fuzzy Inference System (ANFIS) to predict electricity consumption in the North Sumatra region using historical data for the 2018–2024 period. Actual data is compared with the model's prediction results to evaluate accuracy using the Mean Absolute Error (MAE), Root Mean Square Error (RMSE), and Mean Absolute Percentage Error (MAPE) indicators. The evaluation results show an MAE value of 0.00057, RMSE of 0.00139, and MAPE of only 0.00012%, indicating a very small level of prediction error. Projections until 2029 show a trend of electricity consumption that tends to increase again after experiencing a decline in 2022–2023, with a significant spike in 2024. This indicates that ANFIS is able to follow historical patterns well and provide precise and reliable forecast results. Thus, the ANFIS method can be used as a basis for short-term energy planning to support efficient and sustainable electricity supply strategies in North Sumatra.
Implementasi Kerja Sama Universitas Al-Azhar dan UniMAP dalam Pengabdian Masyarakat melalui Diskusi Perluasan Hutan Mangrove Nurdiana, Nurdiana; Siregar, Zufri Hasrudy; Nugraha, Yoga Tri; Suherman, Suherman; Nasution, Adinda Juwita; Rida, Rizkha; Irwanto, Muhammad; Bin Jusoh, Muzammil
IRA Jurnal Pengabdian Kepada Masyarakat (IRAJPKM) Vol 3 No 3 (2025): Desember
Publisher : CV. IRA PUBLISHING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56862/irajpkm.v3i3.257

Abstract

Partnerships between universities and partner institutions are strategic for study program accreditation and for implementing the Tri Dharma of Higher Education. In 2025, Al-Azhar University established an international collaboration with Universiti Malaysia Perlis (UniMAP) and the Village Forest Management Institution (LPHD) of Pasar Rawa, Langkat Regency, in the field of community service. The activities included a networking session, strategic discussions on converting palm oil plantations back into mangrove forests, and a joint mangrove planting action. This initiative aims to restore coastal ecosystems as habitats for marine life, such as fish, crabs, and shrimp. Through this synergy, it is expected that the motivation of the Pasar Rawa Village community, particularly the LPHD, will increase in managing and preserving the mangrove area sustainably for the welfare of the coastal ecosystem.
Co-Authors -, Evta Indra -, Ruben Abdul Azis H Achmad Ridwan, Achmad Adam Pangestu Adam, Muhammad Adinda Juwita Nasution Ahmad Arif Alqadri Wardana, Wisnu Arif Milando Setiawan Arnawan Hasibuan Arnild Augina Mekarisce Baehaqi Baharuddin Ismail Baharudin, Nor Hanisah Bin Jusoh, Muzammil Catra Indra Cahyadi Dachi, Rinistin Delima Sitanggang, Delima Denny Hasminta Sembiring Maha Dina Maizana Eddy Warman Ega Trisna Rahayu Evalina, Noorly Evalina, Noorly FADHILLAH AZMI Franz Beckhen Bauer Simanjuntak Ginting, Riski Titian Ginting, Riski Titian Gultom, Immanuel Roni Habib Satria Hermansyah Hutasuhut, Syafrida Hanum Iman Faisal Dharmawan Indra Roza Indri Dayana Irwanto, Muhammad Jusoh, Muzzammil Karo-Karo, Muhamad Azlin Kelvin Ghabriel Kelvin Ghabriel Laia, Frengki Ditus Lidya Rahmani Laia M. Soleh Nasution Manalu, Harry Hendra Mardi Turnip, Mardi Mawardi Md Arshad, Syahrun Nizam Moranain Mungkin Muchsin Harahap Muhammad Fadlan Siregar Muhammad Fitra Zambak Muhammad Irwanto Muhjam Kamza Nainggolan, Winner Parluhutan Nasution, Farsya Alfitri Nestovani, Eldora Christabel Ni'Mah, Heni Sholikhatun Ningsih, Margie Subahagia Nisja, Indra Nurdiana Nurdiana Othman, M.A. Othman, Mohd Azlishah Othman, Mohd. Azlishah Panangian Mahadi Sihombing Pasaribu, Faisal Irsan Perangin-angin, Despaleri Ramadhan, Fakhri Rida, Rizkha Rizky Surya Andhayani Nasution Rony, Zahara Tussoleha Sari Novalianda Sayekti, Dania Tutra Eka Selis Selis SEMBIRING, RESEP Sholeha, Dewi Simanjuntak, Puan Maharani Siregar, Zufri Hasrudy Sitompul, Daniel Ryan Hamonangan Situmorang, Andreas Sri Indah Rezkika Sri Liniarti Sri Ulina Suherman, Suherman Sumita Wardani Suwarno - Syafruddin Hasan Syahrun Nizam Md Arshad Tania Artamevia Teguh Ramdani Teuku Kusnafizal Teuku Kusnafizal, Teuku Tigor Richardo Fery Dony Sitindaon Togar Timoteus Gultom Vicky Ade Efendi Winda Sari, Vina Zakaria, Zulkarnay Zulfikar Zulfikar