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Implementation of a Fuzzy Logic Controlled Full Bridge SPWM Inverter for Lighting and Charging Applications Dionova, Brainvendra; Permana, Muhammad Zidan Regi; Vresdian, Devan Junesco; Pratama, Legenda Prameswono; Jaenul, Ariep; Nugraha, Dian; Mohammed, M. N.
Jurnal Teknologi dan Manajemen Vol. 23 No. 2 (2025): Jurnal Teknologi dan Manajemen (August)
Publisher : Politeknik STMI Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52330/jtm.v23i2.428

Abstract

As energy sources continue to dwindle, they have garnered significant attention, prompting the government to set a target of at least 31% of Indonesia's total energy consumption coming from renewable sources. This study focuses on developing an inverter, a device that converts direct current (DC) into alternating current (AC), utilizing a 12V/100Ah battery to support a 150-watt AC load. The proposed inverter adopts a full-bridge configuration with single-phase sinusoidal pulse width modulation (SPWM) and incorporates a fuzzy logic controller to ensure stable output voltage. The implementation results indicate that the designed full-bridge inverter produces a steady output aligned with the input from a 12V LiFePO4 battery, as confirmed by data collection which compared the output with and without control, showing that the controlled system yields a more stable output. The testing results of the full-bridge inverter using the SPWM method indicate that the system can produce an AC output voltage of 221–224 V with a frequency of 50 Hz, in accordance with the established standards. In contrast, during testing without control, the output voltage ranged only between 145–147 V with a frequency of 99.18 Hz, which does not meet operational standards. These results clearly demonstrate the effectiveness of the fuzzy controller in maintaining both voltage and frequency stability under varying operating conditions. By accurately adjusting the system response, the fuzzy controller ensures that the inverter consistently delivers output within the desired standard range, thereby enhancing the overall performance and reliability of the system.
Prototype of Monitoring and Controlling System on Gondola Cage Security Based Android Application Dionova, Brainvendra Widi; Junesco Vresdian, Devan; Ananda Hapsari, Anindya; Budi Priyono, Sigit; Haryudiniarti, Ayu Nurul; Nafiulana Tri, Anggita; Manfaluthy, Mauludy; N. Abdulrazaq, Mohammed
Eksergi Vol. 18 No. 2 (2022): MAY 2022
Publisher : Politeknik Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (471.978 KB) | DOI: 10.32497/eksergi.v18i2.3498

Abstract

Gondola is one of the facilities used in high-rise buildings that are used to access the outside of the building. Gondola has a maximum load limit that is safe to transport it. Gondola is also often damaged in the cage caused by collisions on the side of the building. Until now, the gondola control still uses buttons which also often experience problems. This study aims to provide monitoring of the cage load and provide information about the distance of the cage to surrounding objects. Gondola control through an android application also includes this research in order to provide an alternative if the buttons on the gondola control experience problems. The short-term goal of this research is to carry out an innovation in the gondola field by conducting experiments through prototypes. The medium term goal is to apply the results of this research into a gondola. The results of this study control and monitoring can function properly even though the results produced are not yet accurate due to the imperfect quality of components, materials and assembly.
Automatic Fire Extinguishing System Using Smoke Detector and Heat Detector Based on Programmable Logic Controller Dionova, Brainvendra Widi; Setiawan, Antonius Darma; Vresdian, Devan Junesco; Pratama, Legenda Prameswono; Abdullah, Muhammad Irsyad; Mohammed, M. N.
Eksergi Vol. 20 No. 01 (2024): JANUARY 2024
Publisher : Politeknik Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32497/eksergi.v20i01.5406

Abstract

Fire is a disaster that is often encountered throughout the year. This research aims to protect and mitigate the worst possibility of a fire disaster. A PLC automatically creates the work system of this tool, using it as the controller. This tool utilizes two sensors: a smoke detector and a heat detector. Two smoke detectors and one heat detector automatically make the system, each providing input to the PLC. The system splits into two parts: Alarms 1 and 2. If any of the three sensors send input to the PLC, Alarm 1 triggers a buzzer and a yellow light. Alarm 2 occurs if 2 or 3 sensors provide input to the PLC and provide output as the bell lights up, the flash lights up, and the solenoid opens to release Co2 into the room.  
Linearity of Soil Moisture in Residential Plants Using Soil moisture sensor YL-69 Vresdian, Devan Junesco; Pratama, Legenda Prameswono; Trisnaaji, Pius Adrian; Setyono, Rizka Sabila; Jaharadak, Adam Amril; Al-yousif, Shahad
Eksergi Vol. 20 No. 01 (2024): JANUARY 2024
Publisher : Politeknik Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32497/eksergi.v20i01.5412

Abstract

Planting media for plants is very important because various kinds of ornamental plants used in housing can grow well according to the needs of their respective conditions. Soil moisture is generally defined as the water contained on the unsaturated soil surface of the Earth. Soil moisture has an influence on the level of moisture needed by plants. The use of soil moisture sensor YL-69s is very popular, especially in the last 2 - 3 decades, where these sensors can review soil moisture and soil conditions in percentage form. However, how can the value of the soil moisture sensor YL-69 itself represent actual conditions? For this reason, a design was carried out with the aim of seeing the linearity value of the sensor. In the overall test the average error value produced has reached less than 3%. In this study, "Nor" conditioning needs to be developed again to further specify whether the plant's moisture needs require a separate percentage to reduce the margin gap that appears at the transition between dry and wet conditions. In this study, using the YL-69 soil moisture sensor produced an error value up to 6.16%, especially in the "Nor" condition with a conditioning difference of 13%.
RANCANG BANGUN SISTEM MONITORING STASIUN PENGISIAN LISTRIK UMUM (SPLU) HYBRID BERBASIS IOT DI SMKN 2 KOTA BEKASI Abdurrahman, Naufal; Jaenul, Ariep; Vresdian, Devan Junesco
Journal Of Renewable Energy Engineering Vol. 2 No. 1 (2024): Journal Of Renewable Energy Engineering (April)
Publisher : Program Vokasi-Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56190/jree.v2i1.27

Abstract

  This research is motivated by the development of electric vehicles in Indonesia which is regulated in Presidential Regulation Number 55 of 2019 which encourages the use of electric vehicles. Therefore, the development of electric vehicles began to increase every year. Along with the development of electric vehicles, it must also be followed by the development of charging stations. This research focuses more on developing a Hybrid public electric charging station (SPLU) monitoring system to create a Hybrid SPLU monitoring system that can be accessed easily anytime and anywhere in real-time and is IoT-based. For the Hybrid SPLU monitoring system to work well, the data results from sensor readings can be monitored in real-time and IoT-based. Then the data from this study has been compared (calibration) with existing measuring instruments with the average error of each sensor being no more than 5% and the Mean Absolute Percentage Error (MAPE) not more than 10%. From the existing provisions, if the MAPE value is <10%, the data can be said to be very accurate. So it can be concluded that this research can be said to be successful because it has fulfilled the initial objectives of this research.
Rancang Bangun Alat Pengukuran Viskositas Menggunakan Sensor UGN3503 pada Oli Berbasis Android Dionova, Brainvendra Widi; Supriyono, Eko; Hutagalung, Nirmalasari; Vresdian, Devan Junesco; Pratama, Legenda Prameswono; Hapsari, Anindya Ananda
Seminar Nasional Teknik Elektro Vol. 3 No. 1 (2023): SNTE II
Publisher : Forum Pendidikan Tinggi Teknik Elektro Indonesia Pusat

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Viskositas adalah merupakan ukuran kekentalan fluida yang menyatakan besar atau kecilnya gesekan didalam fluida. Penelitian ini bertujuan untuk mengetahuin nilai dari viskositas sebuah Oli dan mengembang alat ukur viskositas bola jatuh menjadi lebih modern karena menggunakan android sebagai basisnya. Dalam penelitinaan ini menggunakan Metode bola jatuh. Bola dijatuhkan secara bebas kedalam fluida oli. Untuk dapat mengetahui kecepatan bola jatuh, di luar pipa diberi Sensor untuk mendapatkan waktu tempuh bola dari titik satu ke titik dua pada jarak ketinggian tertentu, sehingga diperoleh data waktu tempuh bola jatuh (t) dan jarak tempuhnya (h). Nilai koefisien viskositas fluida ditentukan berdasarkan persamaan dari gayagaya yang bekerja pada bola magnet yang bergerak di dalam pipa. Gaya-gaya tersebut antara lain gaya apung, gaya gesekan berdasarkan hukum Stokes, dan gaya berat. Dari waktu yang didapatkan oleh Arduino dan dikirim keandroid maka andoid akan memproses data dan ditampikan layar smartphone, berdasarkan penelitian oli federal semakin tinggi type oli maka tingkat kekentalan akan semakin tinggi, seperti 1. Oli Federal tipe Matic 30 Eco maxx dengan nilai viskositas = 146.4234339 Pa/s, 2. Oli Federal tipe Matic Ultratec 10W-30 dengan nilai viskositas = 189.8221584 Pa/s, 3. Oli Federal tipe Matic Ultratec 20W-50 dengan nilai viskositas = 341.8454277 Pa/s. Dan oli yang sudah digunakan 1 bulan maka nilai viskositasnya akan menurun seperti Oli Federal tipe Matic 30 Eco maxx (Bekas 1 bulan) dengan nilai viskositasnya menjadi 94.49722275 Pa/s. Penelitian ini memudahkan pengguna dalam mengukur tingkat kekentalan oli yang baru maupun sudah digunakan.
Rancang Alat Peringatan Bahaya Banjir dengan Sistem IoT di Katu Lampa Kota Bogor Jawa Barat Sobar, Dedi; Pratama, Legenda Prameswono; Hapsari, Anindya Ananda; Dionova, Brainvendra Widi; Vresdian, Devan Junesco; Hutagalung, Nirmalasari
Seminar Nasional Teknik Elektro Vol. 3 No. 1 (2023): SNTE II
Publisher : Forum Pendidikan Tinggi Teknik Elektro Indonesia Pusat

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Banjir merupakan salah satu bencana alam yang dapat di prediksi dari hulu ke hilir. Kenaikan debit air Sungai menjadikan ini penting pada sisi hilir untuk meminimalisir dampak yang di timbulkan dari hasil luapan. Pada penelitian kali ini, penulis memaparkan rancang bangun sistem monitoring dan peringatan dini banjir dengan mengunakan media internet of think dengan menitik beratkan pada akurasi alat dan implementasi langsung. Memulai penelitian dengan menggunakan beberapa langkah metode penelitian, seperti analisis sistem, diikuti oleh perancangan perangkat keras, pengembangan perangkat lunak, dan tahap akhir adalah pengujian perangkat keras dan perangkat lunak. Hasil pengujian yang diperoleh adalah sebagai berikut: pada ketinggian 40 cm (normal), buzzer tidak aktif dan lampu hijau menyala, pada ketinggian 120 cm - 160 cm (standby), buzzer tidak aktif dan lampu kuning menyala, dan pada pengujian individu pada ketinggian 210 cm - 250 cm (bahaya), sinyal peringatan aktif setiap setengah detik. Uji coba akurasi sensor ultrasonik pada Bendungan Katu Lampa menunjukkan akurasi data yang baik dengan error yang di dapat tidak lebih dari 10%.
Rancang Bangun Sistem Peringatan Persimpangan Jalan Kampung Padat Penduduk Menggunakan ESP8266 Maulana, Muhamad Waldi; Pratama, Legenda Prameswono; Vresdian, Devan Junesco; Manfaluthy, Mauludi; Putri, Arisa Olivia; Al-Humairi, Safaa Najah Saud
TELKA - Telekomunikasi Elektronika Komputasi dan Kontrol Vol 11, No 3 (2025): TELKA
Publisher : Jurusan Teknik Elektro UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/telka.v11n3.399-410

Abstract

Sistem peringatan keamanan lalu lintas pada pertigaan jalan telah dikembangkan pada penelitian ini. Sistem ini dirancang untuk mengganti penggunaan rambu dan alat bantu seperti cermin yang kurang efektif karena keterbatasan bidang pantulan dan gangguan akibat kondisi cuaca. Sensor PIR dan mikrokontroler ESP8266 digunakan untuk pemrosesan program pendeteksi kendaraan yang mendekati area pertigaan dengan pembagian skema menggunakan modul DOT MATRIC219. Penelitian ini memberikan beberapa skema pesan seperti ”STOP”, ”SLOW”, dan “HATI-HATI” dalam pemberian perintah disertakan isarat lampu merah, kuning dan hijau sebagai peringatan konvensional. Metode perancangan menggunakan basic pemrograman Arduino IDE. Dengan penerapan peringatan, pengendara dari berbagai arah diharapkan dapat meningkatkan kewaspadaan sehingga risiko kecelakaan di area pertigaan dapat dikurangi. Hasil penelitian menunjukkan sensor PIR dapat mendeteksi pergerakan ketika objek ditempatkan dengan jarak 50 cm sampai 325 cm dari sensor. Uji efektivitas sudut sensor PIR pada jarak 50 cm sampai 300 cm dengan sudut 0º sampai 60º sensor PIR dapat mendeteksi pergerakan. Logika sistem ESP8266 yang sudah diprogram berjalan dengan baik ketika menerima perintah maupun dalam keadaan standby. This study developed a traffic safety warning system for T-junctions. It replaces traditional signs and mirrors, which are often less effective due to limited reflection and adverse weather. Specifically, the system uses passive infrared (PIR) sensors and ESP8266 microcontrollers to detect vehicles, while the DOT MATRIC219 module handles message display. Warning messages like "STOP," "SLOW," and "CAUTION" are shown with red, yellow, and green lights. These alerts provide clear visual warnings. For system design, an approach with Arduino IDE programming was employed. The purpose of these warning signals is to improve driver vigilance from all directions and reduce accident risk at T-junctions. Experimental results show that the PIR sensor reliably detects movement at distances between 50 cm and 325 cm and is effective within an angle range of 0º to 60º from 50 cm to 300 cm. Finally, the programmed ESP8266 logic works correctly in both command and standby modes.
Implementasi WSN untuk Peringatan Dini Kebakaran Hutan Berbasis LoRaWAN dan Notifikasi Telegram legenda pratama; Dendy Prasetyo; Sinka Wilyanti; Legenda Prameswono Pratama; Devan Junesco Vresdian; Brainvendra Widi Dionova; Hamzah Hamzah
Electrician : Jurnal Rekayasa dan Teknologi Elektro Vol. 19 No. 3 (2025)
Publisher : Department of Electrical Engineering, Faculty of Engineering, Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/elc.v19n3.2913

Abstract

Kebakaran hutan menjadi ancaman serius di Kabupaten Tegal. Penelitian ini mengembangkan sistem peringatan dini menggunakan Wireless Sensor Network (WSN) yang terintegrasi dengan LoRaWAN dan notifikasi real-time via Telegram. Sistem memakai sensor DHT22 dan MQ-2 yang dikalibrasi untuk mengukur suhu, kelembapan, dan gas. Jika ambang suhu 40°C atau gas 300 ppm terlampaui, buzzer aktif dan notifikasi dikirim. Pengujian menunjukkan sistem stabil dengan delay 397–484 ms, throughput 1,64–3,38 kbps, dan tanpa packet loss. Sistem ini efektif mendeteksi kebakaran lebih awal dan mempercepat respons petugas di lapangan.
A Comparative Study of Decision Tree, Logistic Regression, and Random Forest Models for Identifying Mental Health Issues Among University Students Ahmad Syafei Nursuwanda; Anindya Ananda Hapsari; Halimatuz Zuhriyah; Devan Junesco Vresdian
Journal of Artificial Intelligence and Software Engineering Vol 6, No 2 (2026): Juni (OnProgress)
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jaise.v6i2.9775

Abstract

Mental health is an important issue in Indonesia, particularly among university students who are vulnerable to anxiety due to academic pressure, life challenges, and emotional instability. This study compares the performance of three machine learning algorithms Decision Tree, Logistic Regression, and Random Forest for detecting anxiety among university students using Python. The results indicate that Logistic Regression achieved the highest accuracy of 90%, while Decision Tree and Random Forest each achieved 80% accuracy. Evaluation using 20% of the dataset for testing and validation with the Taylor Manifest Anxiety Scale (TMAS) showed that Logistic Regression correctly identified 4 out of 5 students with anxiety. These findings demonstrate that Logistic Regression is the most effective algorithm and has strong potential to support early anxiety detection through a data science–based approach.