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All Journal International Journal of Electrical and Computer Engineering International Journal of Power Electronics and Drive Systems (IJPEDS) IAES International Journal of Artificial Intelligence (IJ-AI) MEDIA ELEKTRIKA Elkom: Jurnal Elektronika dan Komputer Prosiding Seminar Nasional Sains Dan Teknologi Fakultas Teknik PROSIDING CSGTEIS 2013 Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Journal of Telematics and Informatics Setrum : Sistem Kendali-Tenaga-elektronika-telekomunikasi-komputer JUITA : Jurnal Informatika Majalah Ilmiah MOMENTUM JURNAL NASIONAL TEKNIK ELEKTRO Proceeding of the Electrical Engineering Computer Science and Informatics TRANSISTOR Elektro dan Informatika E-Dimas: Jurnal Pengabdian kepada Masyarakat Journal of Electrical Technology UMY RADIAL: JuRnal PerADaban SaIns RekAyasan dan TeknoLogi Aviation Electronics, Information Technology, Telecommunications, Electricals, Controls (AVITEC) Jurnal Rekayasa elektrika International Journal of Information Engineering and Science International Journal of Electrical Engineering, Mathematics and Computer Science International Journal of Mechanical, Electrical and Civil Engineering Green Engineering: Journal of Engineering and Applied Science RADIAL: Jurnal Peradaban Sains, Rekayasa dan Teknologi
Sri Arttini Dwi Prasetyawati
Universitas Islam Sulta Agung
Aerospace Engineering Agriculture, Biological Sciences & Forestry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering Environmental Science Library & Information Science Mathematics Mechanical Engineering Social Sciences

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Gas Detection and Classification Using Neural Network Based Gas Sensors Munaf Ismail; Sri Arttini Dwi Prasetyowati
Jurnal Rekayasa Elektrika Vol 19, No 2 (2023)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17529/jre.v19i2.30974

Abstract

Alcoholic beverages, apart from being haram, also cause loss of consciousness. The influence of alcohol while driving is very dangerous and can result in an accident. For this reason, it is necessary to detect the alcohol content in beverages so that their halal status is known and to avoid the dangers of consuming alcohol. This research is to detect the aroma of alcohol using the MQ-3 gas sensor, which consists of an aroma sensor in general with an Artificial Neuron Network (ANN), such as the number of neurons, layers, and epoch. Most of the learning schemes require testing to optimize the model structure. For this experiment, ANN is used as a liquid classification in grouping alcoholic and non-alcoholic liquids. The MQ-3 gas sensor successfully reads liquid vapor in alcohol with levels of 30%, 50%, 70%, and other water-based liquids. An artificial neural network with 2 hidden layers, 10 neurons, and 1000 iterations with the sigmoid activation function can approach a regression score of 1.1545 and sq error score of 0.5781.
Expert System for Autoclave Damage Detection Using the Fuzzy Logic Method Ilham M Rusdiyanto; Sri Arttini Dwi Prasetyowati; Eka Nuryanto Budisusila
International Journal of Information Engineering and Science Vol. 1 No. 4 (2024): November : International Journal of Information Engineering and Science
Publisher : Asosiasi Riset Teknik Elektro dan Infomatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijies.v1i4.124

Abstract

As a resource supporting public health services, management of electromedical equipment must be carried out quickly, accurately and integratedly so that function, safety, security and benefits can be optimized. The management of electromedical equipment is regulated in the Republic of Indonesia Minister of Health Regulation Number 65 of 2016 concerning Electromedical Service Standards. The expected result of this research is an expert system that can accurately detect damage to sterile electromedical equipment, especially autoclaves. This expert system can then assist electromedical technicians in finding damage and as an assessment in making decisions for appropriate and validated actions to be taken. From the results of testing and analysis of the expert system for detecting damage to Autoclaves using the fuzzy logic method, the following conclusions were obtained. The damage detection expert system application in the Autoclave has been proven to be able to provide 100% diagnosis results. This system can assess the degree of damage of 11.6235981%. based on the input symptoms provided, thus providing decisions that are close to the actual conditions. The expert system built is able to speed up the damage detection process compared to manual methods. This helps in taking quicker action to prevent further damage to the autoclave.
Analysis of Transformer Service Life Prediction at Traction Substation Cipete Raya MRT Jakarta Based on Temperature and Load Using Linear Regression Method. Bima Sekti Wibawanto; Sri Arttini Dwi Prasetyowati
International Journal of Mechanical, Electrical and Civil Engineering Vol. 1 No. 4 (2024): October : International Journal of Mechanical, Electrical and Civil Engineering
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/ijmecie.v1i4.48

Abstract

PT Mass Rapid Transit Jakarta operates a mass transportation system from Lebak Bulus Station to Bundaran HI. One of the traction substations is located in Cipete Raya, with a voltage rating of 20kV/1.2kV. A critical piece of equipment in this substation is the traction transformer, with a capacity of 4850 kVA/2x2500 kVA. The purpose of this study is to predict the service life of the Cipete Raya traction transformer based on temperature and load using the linear regression method. This study employs direct observation, analyzing load data from traction transformers 1 and 2 at Cipete Raya from January 2022 to June 2024, along with transformer temperature measurements. Secondary data include the technical specifications of the Cipete Raya traction transformer. The linear regression analysis for transformer 1 yields the equation y = 687.42 + 11.97x, indicating a 5.75% annual increase over the next 5 years, with a very strong correlation coefficient of R = 0.919. For transformer 2, the equation is y = 815.4543 + 6.488x, showing a 3% annual increase, with a strong correlation coefficient of R = 0.814. Based on the transformer aging calculations for June 2024, Transformer 1 has a per unit aging value (V) of 0.0014 and an estimated service life (n) of 407.689 years, while Transformer 2 has a V of 0.0012 and an estimated service life of 496.77 years. The aging model evaluation using MAPE shows that the prediction accuracy for transformers 1 and 2 is 6% and 3%, respectively, indicating excellent modeling performance.    
Sediment Volume Measuring Tool Using DYP-L04 Type Ultrasonic Sensor Based on Arduino Mega 2560 R3 Muhammad Rifky Aulia; Sri Arttini Dwi Prasetyowati; Bustanul Arifin; Slamet Imam Wahyudi; Floris Boogaard; Suhartono Suhartono; Raditya Rahmat Wijaya
International Journal of Mechanical, Electrical and Civil Engineering Vol. 1 No. 3 (2024): July : International Journal of Mechanical, Electrical and Civil Engineering
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/ijmecie.v1i3.51

Abstract

Many rivers in Indonesia had very poor water clarity due to a mixture of dirt and mud in the water. Polluted rivers were often found in areas near settlements, where household waste that flowing into rivers made the water look dirty and turbid. Pollutants dissolved in water will bind to small particles and settle at the bottom of the river, due to sedimentation. This research designed a device to detect sediment volume in the rivers. This device used an ultrasonic sensor type DYP-L04 and a rotary encoder for calculating volume, with Arduino Mega 2560 R3 as a processor. There is a PG45 motor that was used to set the motor speed to be constant. This ultrasonic sensor works based on the Arduino programming algorithm that has been designed, so that the device can measure sediment volume optimally. The results of this research showed that the device could determine the volume of sediment with the average error score less than 10 %.
PID Tuning on Sediment Detection Boat Using Simulink Muhammad Kevin Hardiansyah; Sri Arttini Dwi Prasetyowati; Bustanul Arifin
International Journal of Electrical Engineering, Mathematics and Computer Science Vol. 2 No. 2 (2025): International Journal of Electrical Engineering, Mathematics and Computer Scien
Publisher : Asosiasi Riset Teknik Elektro dan Infomatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijeemcs.v2i2.254

Abstract

The PG45 DC motor is a drive system used on sediment detection boat. To achieve the desired stability and speed, it is necessary to apply a control system to the sediment detection boat drive system. Control systems need to be tuned to ensure that they function properly and are responsive to changes. In order to complement the previous research, further research was carried out focusing on determining the PID control parameters on the angular speed of the PG45 DC Motor using Simulink. The PG45 DC motor works based on the Arduino programming algorithm that has been designed so that it can rotate at a predetermined speed. This research modeled the sediment detection ship system on Simulink with a similarity rate of 94.09%. The results of this study indicate that the tuning method used, namely trial and error, produces good control on the sediment detection ship system model that has been assembled in Simulink with the value of Kp = 100; Ki = 5; Kd = 15 obtained the value of rise time = 0.2474 seconds and settling time = 0.4104 seconds and overshoot = 0.2175%%.
Alat Pengukur Volume Sedimen Menggunakan Sensor Ultrasonik Tipe DYP-L04 Berbasis Arduino Mega 2560 R3 Aulia, Muhammad Rifky; Prasetyowati, Sri Arttini Dwi; Arifin, Bustanul
TRANSISTOR Elektro dan Informatika Vol 6, No 1 (2024)
Publisher : Universitas Islam Sultan Agung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30659/ei.6.1.%p

Abstract

Banyak perairan di Indonesia memiliki kejernihan air yang sangat buruk akibat campuran kotoran dan lumpur di dalam air. Perairan yang kotor sering ditemukan di daerah dekat pemukiman, di mana limbah rumah tangga yang mengalir ke sungai membuat air terlihat kotor dan keruh. Kotoran yang terlarut dalam air akan mengendap di dasar perairan, menyebabkan sedimentasi. Penelitian ini merancang sebuah alat berupa pengukur sedimen. Alat ini menggunakan sensor ultrasonik tipe DYP-L04 dan rotary encoder sebagai referensi untuk mengukur sedimen, dengan prosesor data berupa Arduino Mega 2560 R3. Terdapat motor PG45 yang digunakan untuk mengatur pergerakan alat. Sensor ultrasonik ini bekerja berdasarkan algoritma pemrograman Arduino yang telah dirancang sehingga alat tersebut mampu mengukur volume sedimen dengan hasil yang optimal. Hasil penelitian ini menunjukkan bahwa alat tersebut mampu membaca volume sedimen. Nilai perbandingan volume sedimen antara nilai asli dan hasil pengukuran alat diimplementasikan dalam bentuk nilai kesalahan persentase. Dari 10 percobaan, didapatkan nilai kesalahan rata-rata sebesar 4,74%. Keyword: Sedimen, Sensor Ultrasonik, Arduino
Water Level Monitoring Device with Hybrid Solar Power Based on IoT for River Safety Monitoring Mohammad Ilham Adi Saputra; Sri Arttini Dwi Prasetyowati; Sauqie Fairoozy Firdaus; Imam Rachmat Widodo
Green Engineering: International Journal of Engineering and Applied Science Vol. 2 No. 3 (2025): July : Green Engineering: International Journal of Engineering and Applied Scie
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70062/greenengineering.v2i3.217

Abstract

 The Karanggeneng River in Rembang Regency, Central Java, serves as the main water source for the surrounding community but is vulnerable to seawater contamination during the dry season due to decreasing river elevation. To address this issue, this study aims to design and implement a river water elevation monitoring device based on the Internet of Things (IoT) powered by a hybrid Solar Power Plant (PLTS). The device utilizes the MB7360 ultrasonic sensor connected to an ESP32 microcontroller to measure water elevation in real-time and display the data through an LCD and the Blynk application on a smartphone. The methodology includes literature review, device design, system implementation, and field performance testing. Test results show that the sensor can measure water height accurately within a range of 30 cm to 5 meters, and the PLTS system is capable of supplying the required 0.56 Watts of power. The study compared two alternative solutions and selected the ESP32-based system as the best option due to its efficiency, cost-effectiveness, and easy-to-source components. The conclusion of this research indicates that the developed device can provide accurate and continuous information, support monitoring of river conditions to prevent the risk of seawater intrusion, flooding, or drought, and has the potential to be applied as a mobile system in various other river locations across Indonesia.
PERANCANGAN MESIN PENGHANCUR LIMBAH MULTIPLEX DAN BLOCKBOARD DENGAN MEMPERTIMBANGKAN ASPEK ERGONOMI DAN EKONOMI Syakhroni, Akhmad; Ernawati, Rieska; Dwi Prasetyowati, Sri Arttini; Sobri Bagasghani, Iqbal
RADIAL : Jurnal Peradaban Sains, Rekayasa dan Teknologi Vol. 10 No. 2 (2022): RADIAL: JuRnal PerADaban SaIns RekAyasan dan TeknoLogi
Publisher : Universitas Bina Taruna Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37971/radial.v10i2.290

Abstract

Abstrak: Perancangan Mesin Penghancur Limbah Multiplex dan Blockboard dengan Mempertimbangkan Aspek Ergonomi dan Ekonomi. Meningkatnya pesanan furniture CV. Bahana Raya mengakibatkan melimpahnya limbah kayu. CV. Bahana Raya menghasilkan limbah potongan multiplex dan blockboard rata-rata 5-7 m3 /hari. Limbah multiplex yang berupa potongan dan serpihan kayu tersebut, selama ini hanya digunakan sebagai bahan bakar untuk memasak dan sisanya dibakar begitu saja sebagai sampah. Limbah multiplex dan blockboard yang berupa potongan-potongan dan serpihan kayu yang tidak lagi dimanfaatkan. Penelitian ini dilakukan untuk memberikan solusi dalam penanganan limbah yang ada berupa penciptaan mesin Penghancur limbah multiplex dan blockboard. Peneliti ingin mengembangkan alat atau mesin yang mampu mengatasi semua kelemahan tersebut. Dengan mempertimbangkan aspek ergonomi dan ekonomi, peneliti dapat menentukan merancang mesin yang sesuai dengan kebutuhan dan menyesuaikan postur pekerja. Hasil dari penelitian ini adalah terciptanya sebuah mesin Penghancur Limbah Multiplex dan Blockboard yang memiliki beberapa keunggulan dari mesin serupa yang sudah ada, hasil serbuk yang lebih halus sesuai dengan kriteria bahan baku MDF (0,43 g/m3). Dari segi analisis ekonomi hasil perhitungan payback period mesin Penghancur Limbah Multiplex dan Blockboard diperoleh 48 hari. Berdasarkan hasil perhitungan tersebut menjadi solusi atas permasalahan penanganan limbah di CV. Bahana Raya Kata kunci: Mesin Penghancur Limbah Multiplex dan Blockboard ; multiplex; blockboard; Ergonomi; Payback Period Abstract: Design Of Multiplex dan Blockboard Waste Machine by Considering Ergonomics and Economics Aspects. Increased orders for furniture CV. Bahana Raya results in an abundance of production waste. CV. Bahana Raya produces an average of 5-7 m3/day of multiplex and blockboard waste. So far, the multiplex waste in the form of pieces and wood chips has only been used as fuel for stoves to cook employee lunches and the rest is simply burned as waste. Multiplex and blockboard waste in the form of pieces and chips of wood that are no longer being used. This research was conducted to provide solutions in waste handling in the form of the creation of multiplex and blockboard waste crushing machines. Researchers want to develop tools or machines that are able to overcome all these weaknesses. By considering ergonomic and economical aspects, researchers can determine which machine to design according to the needs and adjust the worker's posture. The result of this research is the creation of a Multiplex and Blockboard Waste Crusher machine which has several advantages over similar existing machines, finer powder according to the criteria for MDF raw material (0.43 g/m3). In terms of economic analysis, the results of calculating the payback period for the Multiplex and Blockboard Waste Crusher machines are 48 days. Based on the results of these calculations, it is a solution to the problem of waste handling at CV. Bahana Raya Keywords: Axiomatic Design of multiplex and blockboard waste machine; multiplex; blockboard; Ergonomic; Payback Period
Variable frequency drive based on full-bridge class D for single-phase induction motor Jati, Budi Pramono; Hapsari, Jenny Putri; Haddin, Muhamad; Prasetyowati, Sri Arttini Dwi
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 3: September 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v16.i3.pp1701-1710

Abstract

The issue with induction motors lies in speed regulation, which can be addressed by adjusting the motor voltage; however, this affects torque. In contrast, a variable frequency drive (VFD) changes the motor frequency while maintaining a constant voltage. A VFD controller with constant sinusoidal voltage and adjustable frequency can be implemented using an Arduino and a class D full-bridge MOSFET amplifier inverter. This paper discusses the electronic speed control (ESC) of induction motors using VFD regulation, demonstrating how changes in frequency affect motor speed. The system involves an induction motor controlled by a VFD comprising three main components: an AC-to-DC converter, a class-D full-bridge MOSFET inverter, and a variable-frequency sinusoidal signal source. VFDs operate with constant voltage and variable frequency. This method includes the design and testing of VFD hardware and software. The VFD components include: a class-D full-bridge switching inverter, a sinusoidal signal frequency generator (30–70 Hz), an Arduino with custom software, an SMPS power supply, and a step-up transformer. The results indicate that the class-D full-bridge inverter can effectively regulate motor speed through VFD control. The motor speed is almost directly proportional to the frequency: at 30 Hz, the speed is 860 RPM; at 50 Hz, 1472 RPM; and at 70 Hz, 2035 RPM.
Co-Authors ., Gunawan Abdul Basit Achmad Sulchan Adhi Susanto Adhi Susanto Agung Satrio Nugroho Agus Adhi Nugroho Agus Adhi Nugroho Akhmad Syakhroni Alfano Endra Wardhana Ari Wibowo Arief Marwanto Aries Budiyono Ary Sulistyo Utomo Aulia, Muhammad Rifky Badieah Assegaf Bahrun Niam Bhakti Yudho Suprapto Bima Sekti Wibawanto Budiyono, Aries BUSTANUL ARIFIN Bustanul Arifin Bustanul Arifin Darso D Deris Stiawan Diah Arie WK Eka Nuryanto Budi Susila Erwanto, Danang Fajar Yumono Floris Boogaard Gunawan . Hapsari, Jenny Putri Ida Widihastuti Ilham M Rusdiyanto Imam Much Ibnu Subroto Imam Rachmat Widodo Indra Ava Dianta Iqbal Sobri Bagasghani Ismail, Munaf Jati, Budi Pramono Jenny Putri Hapsari La Ode Muhamad Idris Luh Putu Ratna Sundari Luqman Assaffat Mohammad Ilham Adi Saputra Muhamad Haddin Muhammad Kevin Hardiansyah Muhammad Khoirun Faza Muhammad Khosyi'in Muhammad Khosyi’in Muhammad Rifky Aulia Munaf Ismail Munaf Ismail Munawar A Riyadi Pranoto Wibowo Raditya Rahmat Wijaya Rieska Ernawati Riyadi, Munawar A Sauqie Fairoozy Firdaus Slamet Imam Wahyudi Sobri Bagasghani, Iqbal Suhartono Suhartono Suryani Alifah Syakhroni, Akhmad Tole Sutikno Widihastuti, Ida Zainuddin Nawawi