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All Journal Transmisi: Jurnal Ilmiah Teknik Elektro ELKHA : Jurnal Teknik Elektro PROtek : Jurnal Ilmiah Teknik Elektro Briliant: Jurnal Riset dan Konseptual JURNAL MEDIA INFORMATIKA BUDIDARMA Jurnal Sistem Cerdas Building of Informatics, Technology and Science JURNAL Al-AZHAR INDONESIA SERI SAINS DAN TEKNOLOGI Journal of Telecommunication, Electronics and Control Engineering (JTECE)
Ullah, Aulia
Unknown Affiliation
Automotive Engineering Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Industrial & Manufacturing Engineering Public Health

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Optimalization of Load Balancing using Fuzzy Logic to Power Lost Costs in a 1 MVA Transformer Liliana, Liliana; Ullah, Aulia; Aini, Zulfatri
ELKHA : Jurnal Teknik Elektro Vol. 17 No.2 October 2025
Publisher : Faculty of Engineering, Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/elkha.v17i2.97809

Abstract

The 1 MVA transformer at UIN Suska Riau has experienced severe load imbalance, resulting in significant power losses, excessive neutral current, and reduced efficiency that accelerates insulation degradation and shortens its service life. Unlike previous studies that mainly focused on static phase balancing or software-based estimations, this research introduces a real-time load balancing strategy using Fuzzy Logic and projects power loss costs over 10 years. Real-time current measurements were collected over eight consecutive days under peak load conditions and processed through a MATLAB-based Fuzzy Logic system employing triangular membership functions and expert-defined inference rules. The research methodology includes load balancing, calculation of power losses and operational costs, and a comparison of pre- and post-balancing conditions. The results indicate a 95.58% reduction in load imbalance and more than 90% decrease in power losses. Furthermore, the 10-year projection analysis shows long-term operational cost savings of up to 99.65%, while the method also contributes to extending transformer lifetime by preventing overheating and insulation deterioration. The proposed approach enables utilities to mitigate neutral current, reduce energy losses, and lower operating costs across distribution networks.
Prototype PPG (Photoplethysmography) Secara Real-time sebagai Pendeteksi Dini Gangguan Detak Jantung Dilengkapi dengan Visual Graph pada Android Mulyani, Sri; Zarory, Hilman; Ullah, Aulia; Jufrizel, Jufrizel
Journal of Telecommunication Electronics and Control Engineering (JTECE) Vol 6 No 2 (2024): Journal of Telecommunication, Electronics, and Control Engineering (JTECE)
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/jtece.v6i2.1460

Abstract

Kesehatan jantung adalah faktor vital dalam menjaga kesehatan tubuh manusia. Salah satu teknologi terkini untuk pemantauan kesehatan jantung adalah PPG (Photoplethysmography), yang memberikan data esensial mengenai detak jantung dan kondisi kardiovaskular. Namun, teknologi PPG yang dikembangkan sebelumnya seringkali terbatas pada perangkat yang tidak portabel dan sulit untuk mendapatkan data kestabilan irama jantung yang lebih mendetail. Penelitian ini bertujuan mengembangkan prototype PPG secara real-time dengan visualisasi grafis di platform android. Perancangan perangkat keras melibatkan sensor MAX30102, Arduino Uno, dan modul ESP8266. Bagian perangkat lunak mencakup pengembangan antarmuka pengguna menggunakan Cocos2d-x dan Android Studio, memungkinkan visualisasi sinyal PPG, pengukuran BPM (Beat Per Minute), serta statistik seperti rata-rata BPM, 10 periode sinyal, dan standar deviasi. Hasil pengujian menunjukkan bahwa prototype mampu menampilkan sinyal PPG dengan baik dan stabil dalam 4.07 detik setelah penempatan jari pada sensor, menghasilkan nilai BPM dalam 5.92 detik, nilai rata-rata BPM dalam 11.49 detik, dan memulihkan stabilitas sinyal dalam 3.27 detik setelah gangguan input. Error mencapai 2.91% untuk nilai BPM dan 2.13% untuk nilai rata-rata BPM. Penelitian ini menggunakan alat deteksi detak jantung secara real-time dengan respon dan akurasi yang baik.
Implementasi Kendali PID pada Kecepatan Motor DC Sebagai Media Pembelajaran Berbasis Arduino dan LabVIEW Azim, Fauzan; Ullah, Aulia; Jufrizel, Jufrizel; Faizal, Ahmad
Journal of Telecommunication Electronics and Control Engineering (JTECE) Vol 6 No 2 (2024): Journal of Telecommunication, Electronics, and Control Engineering (JTECE)
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/jtece.v6i2.1461

Abstract

Pemahaman konsep kendali PID merupakan elemen penting dalam elektronika instrumentasi, terutama di sektor industri. Pembelajaran yang masih menggunakan metode simulasi, tentu hasilnya tidak sepenuhnya mencerminkan kondisi sebenarnya. Penelitian ini bertujuan untuk mengembangkan alat media pembelajaran sistem kendali PID praktis dengan tampilan antarmuka yang inovatif dan informatif untuk meningkatkan pemahaman mahasiswa di bidang teknik kendali. Alat ini menggunakan Arduino Uno sebagai perangkat akuisisi data dan perangkat lunak LabVIEW sebagai antarmuka. Sensor IR Optocoupler LM393, sensor tegangan, dan sensor ACS712 digunakan untuk membaca kecepatan putaran, tegangan, dan arus motor DC. Hasil pengujian menunjukkan bahwa sistem tanpa kendali menghasilkan kesalahan sebesar 16% sedangkan sistem dengan kendali PID menghasilkan kesalahan sebesar 4.4%. Selanjutnya, hasil pengujian terhadap gangguan kendali PID sistem mampu menjaga kestabilannya dengan baik dibandingkan tanpa kendali. Melalui uji evaluasi usability dengan mahasiswa sebagai responden menunjukkan nilai rata-rata sebesar 92,3 %. Jadi dengan demikian, alat ini dapat menjadi solusi efektif bagi mahasiswa untuk mempelajari konsep kendali PID secara langsung.
Prototipe Alat Pembatasan Pengunjung di Perpustakaan UIN Suska Riau Menggunakan RFID E-KTP Berbasis IoT Nofriandi, Rafli; Jufrizel, Jufrizel; Ullah, Aulia; Zarory, Hilman
BRILIANT: Jurnal Riset dan Konseptual Vol 7 No 4 (2022): Volume 7 Nomor 4, November 2022
Publisher : Universitas Nahdlatul Ulama Blitar

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (471.811 KB) | DOI: 10.28926/briliant.v7i4.1061

Abstract

Universitas adalah salah satu kawasan yang termasuk dalam program Kementerian Pendidikan dan Kebudayaan mengenai pembelajaran tatap muka terbatas (PTM) selama pandemi Covid-19. Pada PTM memberlakukan hanya 50% kapasitas yang boleh memasuki ruangan. Pengunjung perpustakaan UIN Suska Riau hanya diperbolehkan masuk 100 sampai 150 secara rolling mengakibatkan antrean lama untuk memasuki perpustakaan. Perpustakaan merupakan tempat yang sering dikunjungi mahasiswa sebagai referensi tugas perkuliahan. Melalui penelitian ini, dapat membantu mahasiswa dalam berkunjung ke perpustakaan. Alat ini akan memberikan waktu berkunjung ke setiap pengunjung dan memberikan batas maksimal ruangan. Penelitian ini menggunakan website yang berguna sebagai database pengunjung. Sehingga membantu petugas perpustakaan dalam merekap data pengunjung. Penelitian ini menggunakan metode R&D. Hasil penelitian adalah alat ini mampu mengatasi waktu antrean berkunjung dan membantu petugas perpustakaan dalam merekap data pengunjung.
Fire Detection Design Based on Gas Leakage Accompanied by fire Location Point Using ESP32 Based on IoT Wibowo, Nanda; Zarory, Hilman; Mursyitah, Dian; Ullah, Aulia
PROtek : Jurnal Ilmiah Teknik Elektro Vol 12, No 1 (2025): Protek : Jurnal Ilmiah Teknik Elektro
Publisher : Program Studi Teknik Elektro Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/protk.v12i1.7744

Abstract

Type B fires are fires that occur due to the burning of fuel in the form of gas, this type of fire occurs quite often where in DKI Jakarta this type of fire occurs in up to 180 cases and one of the causes of this fire is due to LPG gas leaks then at this time the fire extinguisher fire only has 1 method to find the location of the fire, therefore in this research a tool was created that can detect gas leaks and fires which can send danger warning messages to users, namely building owners and firefighters via the telegram application, from research carried out by the tool created to successfully detect the presence of gas leaks when the PPM value of LPG gas exceeds 100 PPM as well as fires when the presence of fire is detected, the carbon dioxide value in smoke exceeds 100 PPM, and also high temperatures, the tool will identify dangerous conditions and send a danger warning message to the user along with the coordinates and Google Maps link for the location of the equipment when a fire occurs.
Implementation of Fuzzy Logic in the Monitoring and Controlling System for Temperature and pH of Fry Aquarium Water Betta Fish Based on the Internet of Things Wahyudi, Rico; Ullah, Aulia; Zarory, Hilman; Faizal, Ahmad
PROtek : Jurnal Ilmiah Teknik Elektro Vol 12, No 1 (2025): Protek : Jurnal Ilmiah Teknik Elektro
Publisher : Program Studi Teknik Elektro Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/protk.v12i1.7619

Abstract

A problem faced by betta fish farmers is the difficulty in monitoring and controlling the temperature and pH of the water in betta fish fry ponds. This condition causes many deaths of Betta fish fry which results in a reduction in the supply of Betta fish seeds. To overcome this problem, a system based on the Internet of Things was developed(IoT) which can monitor in real time and control the temperature and pH of the water in the Betta fish fry pond. This system is implemented in an aquarium equipped with artificial intelligence in decision making which aims to keep the temperature and pH of the aquarium water stable. The components used in this system include ESP32, DS18B20 temperature sensor, water pH sensor, Thermo Electric Cooler (TEC), heater, DC pump, and fuzzy logic implementation. The results of system testing for 14 days showed that the system was able to monitor and control the temperature and pH of the aquarium water, maintaining ideal conditions for Betta fish fry with an average temperature of 28.79°C and an average water pH of 7.45. The system also succeeded in reducing the mortality rate of Betta fish fry, as proven in comparative tests between aquariums without system implementation and aquariums with system implementation. In this trial, each aquarium was filled with 30 betta fish fry. The results showed that the aquarium with system implementation was able to reduce the death rate of Betta fish fry by 5 or 16.67% from a total of 30 fish. Meanwhile, aquariums without system implementation had a death rate of 12 betta fish fry or 40% of the total of 30 betta fish fry.
Co-Authors Ahmad Faizal Akbar, Farhandhika Derafi, Ryan Dian Mursyitah Firmansyah, Dheka Indradewa, Rhian Irvan, Mhd Abdinul Jufrizel Jufrizel Liliana Liliana Maili, Ramadoni Mansyurdin, Muharpi Maria, Putut maria, putut son Maulana, Abi muhammad rizky, muhammad Nofriandi, Rafli Pamungkas, Rizky Pratama, Angga Riyan Putra, Dimas Ade Rifqi Mubarak, Rifqi Sri Mulyani Syukma, Angga Syukma Ulhaq, Muhammad Dafa Ulhaq, Muhammad Rafif Dhiya Wahyudi, Rico Wananda, Surya Andy Warman, Aziz Wibowo, Nanda Zarory, Hilman Zulfatri Aini