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All Journal Jurnal Pamator : Jurnal Ilmiah Universitas Trunojoyo Madura International Journal of Artificial Intelligence Research Journal of Research in Social Science and Humanities
Yunior, Yudhis Thiro Kabul
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Religion Arts Humanities Computer Science & IT Economics, Econometrics & Finance Education Electrical & Electronics Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Social Sciences Other

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Design of a 25 W Picohydro Power Plant Using Proportional Integral Derivative (PID) Slamet Hariadi, Slamet Hariadi; Yunior, Yudhis Thiro Kabul
Journal of Research in Social Science and Humanities Vol 5, No 1 (2025)
Publisher : Utan Kayu Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47679/jrssh.v5i1.348

Abstract

Energy is a very important resource in achieving social, economic and environmental goals for sustainable development and is a supporter of national economic activities. Energy use in Indonesia is increasing rapidly in line with economic growth and population growth. Two-thirds of the total national energy needs come from commercial energy and the rest comes from biomass which is used traditionally (non-commercially).Pikohydro is a hydroelectric power plant that has a power of under 5kW per unit. Picohydro usually has three main components, namely water (energy source), turbine and generator. Picohydro can be used as an alternative to oil-fueled diesel power plants which are not environmentally friendly and have relatively expensive operational costs. This system is designed by utilizing the flow of water flowing in the river using the on grid method because the current in the river tends to be stable if you don't use batteries because it is more economical. Apart from that the voltage is relatively unstable because the voltage that is converted to AC electricity tends to fluctuate, therefore To increase the voltage, use a DC to DC converter which is equipped with a PID system to stabilize the voltage. In this DC to DC converter, it is used to provide a DC output voltage that varies in size according to the demand on the load.
Internet of Things (IoT) Platform Using Web Services-Based The Laravel Framework in Wind Turbines Yunior, Yudhis Thiro Kabul
International Journal of Artificial Intelligence Research Vol 9, No 1.1 (2025)
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v9i1.1.1468

Abstract

The increasing need for sustainable electrical energy has driven the development of various renewable energy sources, one of which is wind power plants (wind turbines). The development of the Internet of Things (IoT) is a solution for monitoring and managing wind power plants remotely, in real time so that it is more efficient and centralized. The integration method on the Internet of Things (IoT) platform is to build a sensor system installed on the wind turbine output so that it can send operational data in real time. The background of this study will design and implement a power monitoring system on a wind turbine using an Internet of Things-based web service platform. The development of an Internet of Things-based power monitoring system on web services will be built using the Laravel framework which will be integrated with the power output of the wind power plant. This platform is expected to simplify the process of monitoring, controlling, and analyzing wind turbine performance in real time, so that it can increase operational efficiency and support the development of sustainable renewable energy. 
IoT-Based Vibration Analysis for Induction Motor Damage Monitoring Hartono, Hartono; Sakti, Gunawan; Dwiyanto, Dwiyanto; Hariyadi, Slamet; Sukomardojo, Tekat; Julaihah, Siti; Yunior, Yudhis Thiro Kabul
Jurnal Pamator : Jurnal Ilmiah Universitas Trunojoyo Vol 18, No 4a: December 2025
Publisher : LPPM Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/pamator.v18i4a.32854

Abstract

Induction motors are an important component in various industrial applications due to their reliability in long-term opeation. Failure of induction motors can cause production disruptions and significant repair costs. This research develops an Internet of Things (IoT)-based vibration monitoring system using ADXL345 accelerometer sensors and ESP32 microcontrollers. The vibration data obtained is sent to a computer via asynchronous serial communication, where the computer performs FFT calculations and frequency analysis to extract dominant information from the vibration signal. Damage detection is performed using a combination of heuristics and threshold rules to classify the motor status as healthy or ambiguous. The classification results are then sent back via the MQTT protocol and can be visualized in real-time through a dashboard. This system enables predictive maintenance, thereby minimizing the risk of sudden failure and increasing operational efficiency.
Power Analysis Of A 100 Watt Micro Hydro Power Generator Using An Internet Of Things (IoT) Web Services Based On The Code Igniter Framework Yunior, Yudhis Thiro Kabul; Hartono, Hartono; Hariyadi, Slamet; Dwiyanto, Dwiyanto; Sukomardojo, Tekat; Widdana, Surya
International Journal of Artificial Intelligence Research Vol 9, No 1.1 (2025)
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v9i1.1.1633

Abstract

Small-scale Microhydro power plants (100 Watt) require a real-time and accurate power monitoring system to improve efficiency and maintenance. This research aims to develop an Internet of Things (IoT)-based electrical power analysis system by utilizing a Web Service based on the CodeIgniter Framework to process and display data online. The system consists of sensor modules (voltage and current) using ZMPT101B and ACS712, an ESP32 microcontroller for data transmission, and a CodeIgniter backend that provides a RESTful API for data storage and processing. Power (P), voltage (V), current (I), and energy (kWh) data are displayed on a web dashboard with graphic visualization using Chart.js. The research method uses a Research and Development (R&D) approach with stages of needs analysis, system design, implementation, and testing. The test results show that the system is able to monitor power with 95% accuracy compared to digital multimeter measurements, and has a data transmission latency of <2 seconds. This solution can be applied to small-scale Microhydro power plants for IoT-based monitoring with low cost and high scalability.
Electricity Tariff Analysis and Prediction System Using the Arima Algorithm Based on the Internet of Things Hariyadi, Slamet; Yunior, Yudhis Thiro Kabul; Yanto, Dwi
Jurnal Pamator : Jurnal Ilmiah Universitas Trunojoyo Vol 18, No 4a: December 2025
Publisher : LPPM Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/pamator.v18i4a.32855

Abstract

The problem of monthly electricity bills in Indonesia is often a hot topic among the public. Some of the problems with electricity bills that are often complained about by the public include: The increase in basic electricity rates by the government or PLN (State Electricity Company) is often the main complaint. This increase can have a significant impact on people's monthly expenses. Many customers feel that their electricity bills do not match their actual usage. This can be caused by uncontrolled electricity usage or devices that consume more electricity than expected. There are cases where errors in electricity meter readings occur, either due to human error or damage to the meter. This error can result in electricity bills that are higher or lower than actual usage. Some customers feel they do not get clear information about the details of their bills. This lack of transparency can lead to distrust of PLN. Several additional costs such as administration fees, late payment fees, and other costs can add to the burden on monthly electricity bills. Based on the above problems, we built a Smart Precision Electric platform system based on IoT and Artificial Intelligence as a Predictive Model for Electricity Bills. The system we built is able to predict next month's electricity bill and identify the electronic devices that contribute the most to that cost using the integration of the Internet of Things Platform and Artificial Intelligence.
Co-Authors Dwiyanto . Hartono Hartono Julaihah, Siti Sakti, Gunawan Slamet Hariadi, Slamet Hariadi Slamet Hariyadi Tekat Sukomardojo Widdana, Surya Yanto, Dwi