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All Journal Foristek Prosiding Seminar Nasional Sains Dan Teknologi Fakultas Teknik Prosiding SNATIF Jurnal Teknologi Elektro TESLA: Jurnal Teknik Elektro TELEKONTRAN: Jurnal Ilmiah Telekomunikasi, Kendali dan Elektronika Terapan RESISTOR (Elektronika Kendali Telekomunikasi Tenaga Listrik Komputer) Jurnal Informatika Kaputama (JIK) Jurnal Intake : Jurnal Penelitian Ilmu Teknik dan Terapan JE-Unisla Jurnal Tecnoscienza Journal of Electrical Engineering and Computer (JEECOM) Jurnal Abdikarya : Jurnal Karya Pengabdian Dosen dan Mahasiswa Jurnal Sistem Cerdas dan Rekayasa Seminar Nasional Ilmu Terapan Electrician : Jurnal Rekayasa dan Teknologi Elektro Prosiding Seminar Nasional Pengabdian Masyarakat Journal of Innovative and Creativity Jati Emas (Jurnal Aplikasi Teknik dan Pengabdian Masyarakat)
Tamaji, Tamaji
Program Studi Teknik Elektro, Fakultas Teknik, Universitas Widya Kartika
Agriculture, Biological Sciences & Forestry Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Public Health Social Sciences Other

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Simulasi Analisis Kualitas Daya Menggunakan Logika Fuzzy Untuk Meningkatkan Efisiensi Sistem Tenaga Listrik Fernando Wibisono; Tamaji
Electrician : Jurnal Rekayasa dan Teknologi Elektro Vol. 17 No. 3 (2023)
Publisher : Department of Electrical Engineering, Faculty of Engineering, Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/elc.v17n3.2539

Abstract

This study aims to simulate power quality analysis using fuzzy logic to increase the efficiency of the power system. Poor power quality can cause disturbances in the electric power system and reduce the efficiency of the energy used. Therefore, improving power quality is one of the main focuses in the electric power industry.The fuzzy logic method is used in this study to evaluate power quality based on relevant parameters, such as voltage, current, frequency and harmonics. Fuzzy logic is able to overcome the uncertainty and complexity of data related to electric power systems, and provide more adaptive and intelligent solutions. In this study, simulations were carried out using special software that implements fuzzy logic to analyze power quality. The input data obtained from the electric power system is used to build a fuzzy logic model. Then, the simulation results are used to identify existing power quality problems and propose appropriate improvement strategies.The simulation results show that the use of fuzzy logic can significantly increase the efficiency of the power system by minimizing disturbances and optimizing power quality. In addition, fuzzy logic also provides the ability to predict the future conditions of the electric power system and take the necessary precautions. This research has important practical implications in the field of power systems. By using fuzzy logic in power quality analysis, power companies and grid operators can optimize power system operations, reduce power losses, improve energy efficiency, and ensure reliable electricity supply to consumers.
PREDIKSI NILAI UJIAN MAHASISWA MENGGUNAKAN JARINGAN SYARAF TIRUAN BERDASARKAN DATA KEHADIRAN DAN TUGAS Fajri Yulianto; Tamaji
Seminar Nasional Ilmu Terapan Vol 9 No 1 (2025): Vol 9 No 1 (2025): Seminar Nasional Ilmu Terapan (SNITER) 2025
Publisher : Universitas Widya Kartika Surabaya

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Abstract

Penelitian ini bertujuan untuk memprediksi nilai akhir mahasiswa menggunakan Jaringan Syaraf Tiruan (JST) berdasarkan tiga variabel utama, yaitu kehadiran, nilai tugas, dan nilai UTS. Permasalahan yang sering terjadi di dunia pendidikan adalah sulitnya memperkirakan performa mahasiswa sejak dini, sehingga dosen tidak dapat melakukan tindakan pencegahan terhadapkemungkinan penurunan prestasi belajar. Model JST digunakan karena kemampuannya dalam mengenali pola hubungan nonlinier antar variabel. Penelitian ini menggunakan data simulasi 10 mahasiswa dengan arsitektur JST yang terdiri dari tiga neuron input, empat neuron tersembunyi, dan satu neuron output. Hasil simulasi menunjukkan bahwa prediksi JST memiliki tingkat akurasi tinggi dengan rata-rata selisih antara nilai aktual dan nilai prediksi sebesar 0,42 poin. Hal ini menunjukkan bahwa JST mampu memberikan hasil estimasi yang mendekati kondisi sebenarnya. Secara keseluruhan, penerapan JST terbukti efektif untuk membantu dosen dan pihak akademik dalam memantau performa mahasiswa serta mengambil keputusan yang lebih cepat dan tepat dalam proses pembelajaran.
Penerapan Metode Deep Learning Mask R-Cnn Untuk Identifikasi Bangunan Baru Sebagai Objek Pajak Di Desa Gadingmangu, Kecamatan Perak, Kabupaten Jombang Agus Purnawan; Tamaji
Jurnal Sistem Cerdas dan Rekayasa (JSCR) Vol 7 No 2 (2025): Jurnal Sistem Cerdas dan Rekayasa (JSCR) 2025
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat Universitas Widya Kartika (LPPM UWIKA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61293/jscr.v7i2.857

Abstract

Pertumbuhan kawasan permukiman di wilayah pedesaan terus meningkat, sehingga banyak muncul bangunan baru yang belum tercatat sebagai objek pajak. Proses pendataan secara manual yang dilakukan petugas lapangan sering kali memerlukan waktu lama dan berpotensi menimbulkan kesalahan pencatatan. Dalam penelitian ini, digunakan pendekatan Mask R-CNN untuk mengenali objek bangunan pada citra satelit beresolusi tinggi di Desa Gadingmangu, Kecamatan Perak, Kabupaten Jombang. Data citra melalui tahap pra-pemrosesan, anotasi, dan konversi ke format COCO sebelum digunakan dalam proses pelatihan model berbasis backbone ResNet-50 yang dikombinasikan dengan Feature Pyramid Network (FPN). Hasil pengujian menunjukkan bahwa seluruh tahapan — mulai dari pengolahan data, pelatihan model, hingga proses prediksi — dapat dijalankan dengan baik tanpa kendala teknis. Meski demikian, model belum mampu mengenali bangunan secara optimal karena jumlah data latih yang terbatas dan durasi pelatihan yang singkat. Penelitian ini memberikan bukti konsep (proof of concept) penerapan Mask R-CNN untuk deteksi bangunan pada citra satelit dan berpotensi dikembangkan lebih lanjut guna mendukung pembaruan data Pajak Bumi dan Bangunan (PBB) secara otomatis di tingkat daerah.
Optimizing the Use of Electrical Energy in Urban Communities Through The Listrik BENAR Application Socialization: Optimalisasi Penggunaan Energi Listrik pada Masyarakat Kota Melalui Sosialisasi Aplikasi Listrik BENAR Eddy Lybrech Talakua; Mahesa Sangga Bhuana; Nur Kurniasari; Erwin Dhaniswara; Tamaji
JATI EMAS (Jurnal Aplikasi Teknik dan Pengabdian Masyarakat) Vol. 9 No. 4 (2025): Jati Emas (Jurnal Aplikasi Teknik dan Pengabdian Masyarakat)
Publisher : DPD Jatim Perkumpulan Dosen Indonesia Semesta

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Abstract

Electrical energy is a primary need for all levels of society today. In the city of Surabaya, the level of electrical energy demand is increasing. The government, through the State Electricity Company (PLN), continues to strive to meet this need and provide the best service in distributing electrical energy so that it reaches consumers properly and safely. In the community, there is still misuse of electrical energy that can cause fires, wasted electrical power due to technical errors, and the use of substandard electrical materials. This is the basis for providing insight and knowledge to the public about the BENAR electrical installation techniques (Baik, Efektif, Nyaman, Aman, and Rapi) to the community. This community service program was carried out for four days (September 27-30, 2025) starting from a pre-test, presentation of material on the introduction and use of electrical energy, and socialization of the BENAR Electricity Application. Participants also practiced electrical installations using the provided practice modules. From the post-test results, it appears that the level of public understanding and awareness of electrical energy use has increased significantly. With a community of electricity users who have insight and knowledge about electrical energy, disasters caused by the misuse of electrical energy can be reduced and prevented.
Sistem Monitoring PH dan TDS Air Bekas Tambang Pada Settling Pond Blok III PT. AGM Berbasis Internet Of Things (IOT) Tamaji, Tamaji; Rabbani, Ahmad; Bhuwana, Mahesa Sangga; Dhaniswara, Erwin
Journal of Innovative and Creativity Vol. 6 No. 1 (2026)
Publisher : Fakultas Ilmu Pendidikan Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/joecy.v6i1.9415

Abstract

This study aims to design and implement an Internet of Things (IoT)-based monitoring system for measuring pH and Total Dissolved Solids (TDS) in post-mining wastewater at the settling pond of Block III, PT. Antang Gunung Meratus (PT. AGM). The system utilizes pH E-201C and Gravity TDS sensors to periodically measure water quality parameters, with data processed by an ESP32 microcontroller and transmitted via Wi-Fi to a cloud platform for real-time monitoring. The data are visualized through a web-based dashboard, while an alert system using LED indicators, buzzer, and Telegram notifications is activated when parameters exceed predefined thresholds. The system architecture integrates sensors, a control unit, communication modules, and actuators such as relays and pumps to enable automated monitoring and response. Testing results indicate that the system achieves reliable accuracy, with pH measurement deviations of approximately ±0.2 and TDS deviations around ±75 ppm compared to manual instruments, corresponding to an error rate below 5%. These results fall within acceptable tolerance limits for water quality monitoring. Overall, the developed system demonstrates effective real-time monitoring capability, reduces manual measurement efforts, and supports early detection of water quality changes. The system also shows potential for further development through integration with automated treatment control and additional environmental parameters, contributing to more efficient and sustainable mining wastewater management.
Co-Authors Achmad Shoim Adrianus Raffel Agus Purnawan Alif Kurnia Utama Arief Budijanto Aththoriq, Nurul Huda Bagja, M. Fathan Sugih Christina Azazya Josefphine Darwis, Akbar Dhaniswara, Erwin dwi taufik hidayat Erwin Dhaniswara Fajri Yulianto Fajrin Farid Budianto Putra Febrianto, Harsiawan Fernando Wibisono Fernando Wibisono Handoyo, Nanda Restu Ho, Abraham Cahyadi Mahesa Sangga Bhuana Mahesa Sangga Bhuwana Melvie Paramitha Nugroho, Aditya Widhi Nur Kurniasari Nurholis Nurholis Nurholis, Nurholis Permana, Ika Dian Rabbani, Ahmad Raffel, Adrianus Ramadhan, Mohammad Bangkit Romdhoni, Atsirur Ryan Hardlan Sanjaya Salolosit, Joni Shoim, Achmad Sidharta, Josie Simanjuntak, Henni Siswanto, Eko Haris Talakua, Eddy Lybrech TATANG HIDAYAT, TATANG Ulul Ilmi Widianto Yonatan, Widianto Yoga Alif Kurnia Yoga Alif Kurnia Utama Yoga Alif Kurnia Utama Yoga Alif Kurnia Utama, Yoga Alif Kurnia Yoga Alif Utama Yusar Akbara , Delly