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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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MONITORING SISTEM DC 110 VOLT DI GARDU INDUK BERBASIS ANDROID Nurholis; Tamaji
Seminar Nasional Ilmu Terapan Vol 8 No 1 (2024): Vol 8 No 1 (2024): Seminar Nasional Ilmu Terapan (SNITER) 2024
Publisher : Universitas Widya Kartika Surabaya

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Abstract

The 110 Volt DC system is a critical component in substations that supports the operation of control and protection devices. Instability in voltage or current within this system can have severe consequences on the overall performance of the substation. Therefore, real-time monitoring of the 110 Volt DC system is crucial. This research aims to design and implement an Android-based monitoring system supported by Internet of Things (IoT) technology. The system utilizes voltage and current sensors integrated with a microcontroller, transmitting data to an Android application via a data communication protocol. The data received by the application can be analyzed in real-time, providing essential information about parameter deviations fromoperational standards. Additionally, the system includes an early warning feature that enables technicians to respond to potential issues before they affect the substation’s operations. Testing has demonstrated that this system effectively improves monitoring efficiency and reduces operational risks in substations. By applying this technology, disruptions in the DC system can be detected early, allowing for rapid and accurate preventive action.
ANALISIS PERANCANGAN SISTEM KONTROL DAN MONITORING BERBASIS ARDUINO UNO VIA INTERNET PADA PEMANFAATAN AIR KONDENSAT PADA KULKAS Bagja, M. Fathan Sugih; Tamaji
Seminar Nasional Ilmu Terapan Vol 8 No 1 (2024): Vol 8 No 1 (2024): Seminar Nasional Ilmu Terapan (SNITER) 2024
Publisher : Universitas Widya Kartika Surabaya

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Abstract

Condensate water is a water which is resulted from the condensation process, usually thrown away regardless of its use. In this journal, a control system for the refrigeration system for the utilization of condensate water will be analyzed. This design includes the design of a cabin temperature control system and an automatic condensate water spraying control system.Arduino UNO will be used as controller and DS18B20 sensor will be used as a detector and also as a feedback. In addition, the monitoring system is designed to use laptop, LCD and smartphone screens with the ThingSpeak application. The result is the designed on-off control system be able to maintain the cabin temperature at the setpoint of 4.5oC. But there are still errors in the range of 0.12oC-0.13oC. Meanwhile, in the condensate water spraying control system, the spraying automatically turns on when the condenser exit temperature exceeds the setting temperature of 39oC, with an error in the range of 0.1oC-0.44oC. In addition, the monitoring system on ThingSpeak and LCD produces temperature graphs with values and patterns which be the same. Furthermore, the actual COP of the refrigeration system which fluctuates at value of 3.28 is greater than the actual COP without spraying which fluctuates at value of 2.95. This is shown by a graph of the actual COP with sprays which be higher at any time. The electric power of the refrigerator with spraying (104 W) is slightly lower than the system without spraying (114 W).
Alat Pemberi Pakan Kucing Peliharaan Otomatis Menggunakan Arduino Uno Aththoriq, Nurul Huda; Tamaji
Jurnal Sistem Cerdas dan Rekayasa (JSCR) Vol 6 No 2 (2024): Jurnal Sistem Cerdas dan Rekayasa (JSCR) 2024
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.v6i2.733

Abstract

Kucing merupakan hewan populer di dunia yang mempunyai garis keturunan atau ras yang bermacam-macam salah satunya yang paling banyak digemari adalah jenis persia dan anggora. untuk memelihara kucing memerlukan sebuah kedisiplinan dan ketekunan baik dalam merawat kebersihan dan juga dalam pemberian pakan. Kendala dalam pemberian pakan kucing dikarenakan rutinitas kegiatan si pemilik diluar rumah, sehingga pemberian pakan kucing di setiap harinya tidak dapat terkontrol dengan baik dan dapat membuat kucing jadi lebih mudah terserang penyakit. Untuk itu dibutuhkan sebuah mekanisme alat pemberi pakan otomatis yang dapat digunakan untuk membantu pemilik kucing dalam memberikan pakan secara terjadwal. Penelitian ini menggunakan mikrokontroler dengan Arduino uno sebagai sistem control untuk mengendalikan input dan output.RTC sebagai penentu jadwal yang nantinya akan memberi perintah pada Arduino uno untuk menggerakkan mini servo. Mini servo sebagai penggerak wadah utama membuka wadah utama yang nantinya akan jatuh ke wadah timbangan. Sensor loadcell dapat menimbang pakan yang nanti akan dituangkan melalui mini servo. Persentase uji coba yang dilakukan mencapai 99%. Dimana jika wadah utama diisi penuh pakan yang dikeluarkan lebih banyak. Namun jika pakan terisi ¾ maka pakan yang keluar akan lebih presisi.
INOVASI MODUL EMBEDDED-IOT SEBAGAI MEDIA PEMBELAJARAN STEM DI SMK: STUDI KASUS DI SMK SIANG DAN SMK KAWUNG 1 SURABAYA Tamaji, Tamaji; Dhaniswara, Erwin; Paramitha, Melvie
Jurnal Abdikarya: Jurnal Karya Pengabdian Dosen Dan Mahasiswa Vol. 08 No. 01 Tahun 2025
Publisher : Lembaga Penelitian Dan Pengabdian Kepada Masyarakat Universitas 17 Agustus 1945 Surabaya

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Abstract

The application of Embedded-IoT technology in STEM education at vocational schools is an innovation that aims to improve the quality of learning and students' readiness to face modern technological developments. This service was carried out at SMK Siang and SMK Kawung 1 Surabaya, which have limited infrastructure and human resources in utilizing IoT technology. Through the development of the Embedded-IoT module, this activity provides interactive and practical training to teachers and students to increase their understanding of IoT technology. This project involves creating 10 Embedded-IoT practicum modules and preparing STEM-based learning materials. It is hoped that the implementation of this module can improve the technology skills of students and teachers, strengthen the STEM-based curriculum, and increase the competitiveness of graduates in the job market. Apart from that, this activity also contributes to the implementation of the Independent Campus Learning Program (MBKM) and Key Performance Indicators (IKU) which encourage collaboration, active participation and strengthening technological capabilities in Vocational Schools. The embedded-IoT module implementation program at SMK SIANG and SMK Kawung 1 Surabaya aims to increase student and teacher competency in IoT technology through training, curriculum development and module implementation. The evaluation showed an increase in the average score from 62.8 (pre-test) to 72.2 (post-test), confirming the increase in participants' understanding and skills. A total of 10 modules are designed for STEM-based learning, providing practical experience in developing embedded systems and IoT. The results of this program have succeeded in improving the quality of education, supporting the integration of IoT technology in the teaching and learning process, and strengthening students' readiness to face modern industry.
Pengukuran Tingkat Akurasi Algoritma Backpropagation Dalam Memprediksi Berat Impor Sayuran Ho, Abraham Cahyadi; Tamaji, Tamaji
RESISTOR (Elektronika Kendali Telekomunikasi Tenaga Listrik Komputer) Vol. 8 No. 1 (2025): RESISTOR (Elektronika Kendali Telekomunikasi Tenaga Listrik Komputer)
Publisher : Universitas Muhammadiyah Jakarta

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Abstract

Dalam kebutuhan pangan manusia, sayuran menjadi bahan pangan yang sehat dan penting, sehingga tidak heran jika suatu negara terus melakukan produksi bahkan melakukan impor dengan tujuan untuk memenuhi kebutuhan akan konsumsinya. Berkembangnya teknologi yang semakin pesat, tentunya dimanfaatkan oleh manusia untuk membantu pekerjaannya, baik untuk kegiatan aktivitasnya, sebagai penyedia informasi, mendukung pengambilan keputusan, dan tidak asing lagi dimanfaatkan untuk memprediksi suatu data. Alur penelitian ini, mula-mula dilakukan pengumpulan data pada website Badan Pusat Statistik. Selanjutnya dilakukan normalisasi data untuk nantinya dilakukan pembagian data pelatihan dan pengujian termasuk pengolahan datanya menggunakan MATLAB R2017a, dengan Jaringan Syaraf Tiruan sebagai metodenya, dan Backpropagation sebagai algoritmanya. Penetapan arsitektur jaringan terlebih dahulu dilakukan sebelum mengolah data. Pada akhirnya, penelitian ini memberikan hasil yang cukup baik, dengan arsitektur data pelatihan (7-20-1) dan arsitektur data pengujian (4-15-1) memiliki performa terbaik. Peneliti berhadap hasil tersebut dapat memberikan manfaat sebagai penyedia informasi dan dikembangkan sebagai bahan penelitian/prediksi lebih lanjut.
Penerapan Metode Fuzzy Sugeno Untuk Prediksi Tingkat Kemiskinan di Surabaya Christina Azazya Josefphine; Tamaji
Jurnal Sistem Cerdas dan Rekayasa (JSCR) Vol 7 No 1 (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.v7i1.820

Abstract

Penelitian ini berfokus pada prediksi angka kemiskinan di Kota Surabaya menggunakan metode Fuzzy Sugeno. Kemiskinan merupakan masalah kompleks yang masih dihadapi Kota Surabaya, dengan jumlah penduduk miskin yang konsisten di atas 100.000 jiwa sejak 2013 hingga 2023. Prediksi angka kemiskinan dilakukan dengan mempertimbangkan empat variabel utama: Tingkat Pengangguran Terbuka, Tingkat Partisipasi Angkatan Kerja, Indeks Pembangunan Manusia, dan PDRB Perkapita. Pemilihan metode Fuzzy Sugeno didasarkan pada penelitian-penelitian sebelumnya yang menunjukkan keunggulan metode ini dibandingkan metode fuzzy lainnya, dengan nilai MAPE yang lebih kecil dan tingkat akurasi yang lebih tinggi. Hasil prediksi ini diharapkan dapat membantu pemerintah dalam mengembangkan strategi penanggulangan kemiskinan yang lebih efektif di Kota Surabaya.
DEVELOPMENT OF AN EARLY DETECTION SYSTEM FOR GAS TURBINE OIL LEAKS USING FUZZY LOGIC AND IOT Erwin Dhaniswara; Farid Budianto Putra; Dwi Taufik Hidayat; Eddy Lybrech Talakua; Tamaji
TESLA: Jurnal Teknik Elektro Vol 27 No 2 (2025): TESLA : Jurnal Teknik Elektro
Publisher : Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/tesla.v27i2.35674

Abstract

The gas turbine is one of the primary energy sources with high efficiency, where the lubrication system plays a crucial role in maintaining mechanical reliability and reducing operational risks. Oil leakage in the cooling tower can lead to overheating, reduced machine efficiency, and environmental contamination. This study aims to design an early detection system for oil leakage in a gas turbine cooling tower using fuzzy logic and the Internet of Things (IoT). The system integrates a photodiode sensor to detect light intensity changes and a DS18B20 temperature sensor, processed through an ESP32 microcontroller and displayed on an IoT-based real-time monitoring dashboard using MQTT protocol and Node-RED. The fuzzy Sugeno method classifies leakage levels into Normal, Light, Medium, and Severe categories based on the sensor readings. Laboratory testing shows that the photodiode sensor has a maximum deviation of 1.8%, while the temperature sensor error is 0.43%. The developed system successfully detects oil leakage concentration changes with latency under one second and provides accurate alerts through the IoT dashboard. This research contributes to preventive maintenance in industrial environments by enabling early oil leak detection, minimizing repair costs, and reducing environmental risks. Abstrak Turbin gas merupakan salah satu sumber tenaga utama dengan efisiensi tinggi, di mana sistem pelumasan berperan penting untuk menjaga keandalan mekanis dan mengurangi risiko operasional. Kebocoran minyak pelumas pada cooling tower dapat menyebabkan overheating, penurunan efisiensi mesin, dan pencemaran lingkungan. Penelitian ini bertujuan untuk merancang sistem deteksi dini kebocoran minyak pelumas pada cooling tower mesin gas turbin berbasis logika fuzzy dan Internet of Things (IoT). Sistem ini mengintegrasikan sensor photodioda untuk mendeteksi perubahan intensitas cahaya dan sensor suhu DS18B20, yang diproses oleh mikrokontroler ESP32 serta ditampilkan melalui dashboard pemantauan real-time berbasis IoT menggunakan protokol MQTT dan Node-RED. Metode fuzzy Sugeno digunakan untuk mengklasifikasikan tingkat kebocoran menjadi Normal, Ringan, Sedang, dan Parah berdasarkan pembacaan sensor. Pengujian laboratorium menunjukkan bahwa sensor photodioda memiliki deviasi maksimum sebesar 1,8%, sedangkan sensor suhu memiliki error sebesar 0,43%. Sistem yang dikembangkan berhasil mendeteksi perubahan konsentrasi minyak dengan latency kurang dari satu detik dan memberikan peringatan akurat melalui dashboard IoT. Penelitian ini berkontribusi pada peningkatan pemeliharaan preventif di lingkungan industri dengan memungkinkan deteksi dini kebocoran minyak pelumas, mengurangi biaya perbaikan, dan menekan risiko pencemaran lingkungan
IMPLEMENTASI FUZZY LOGIC UNTUK KUALITAS UDARA, SUHU, DAN KELEMBABAN UDARA BERBASIS IOT Tamaji, Tamaji; Utama, Yoga Alif Kurnia
Foristek Vol. 13 No. 1 (2023): Foristek
Publisher : Foristek

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54757/fs.v14i1.249

Abstract

Air is the most important factor in human life. Air quality is the most supportive factor in the development of everyday living things. Temperature, Humidity and PPM (Parts Per Million) substances in the air are the parameters most often found in the environment around where we live. Every day there is and increase in pollution from motorized vehicles without us knowing how bad or good the air condition in our environment is. Therefore we need and air quality monitoring to find out how good the air condition around us is by using the MQ-135 gas sensor which is produces air quality output and using the DHT11 sensor which is output the temperature and humidity of the air around the sensor. And using an ESP8266 microcontroller based to display the output on the sensor anywhere and anytime with internet. It is hoped that this tool can be useful to determine the condition of the room good or bad so that users can improve the condition of the room where they live. It is also hoped that this tool can detect gasses leaks that occur in closed room and provide a warning to the user’s cellphone.
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.
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.
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 Permana, Ika Dian Rabbani, Ahmad Raffel, Adrianus 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