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Jurnal Mosfet
Published by Universitas Muhammadiyah Parepare
ISSN : -     EISSN : 27755274     DOI : -
Core Subject : Science, Engineering,
Control & Systems Engineering Electrical & Electronics Engineering Energy
Jurnal MOSFET merupakan jurnal berbasis OJS yang mempublikasikan karya ilmiah hasil kajian dan penelitian dari para peneliti akademisi dan praktisi di bidang : Teknik Instrumentasi, Kendali dan Komputer (Instrumentation, Control and Computer Engineering); Teknik Elektronika (Electronics Engineering); Teknik Telekomunikasi (Telecommunication Engineering); Teknik Energi (Power Engineering).
Arjuna Subject : Teknik (semua kategori) - Teknik Listrik dan Elektro
Articles 48 Documents
 1   2   3   4   5 
Implementasi Smart Farming pada Budidaya Jamur Tiram Y, Alauddin; Suwardoyo, Untung; Jasmawati, Jasmawati; Wirawan, Raden
Jurnal Mosfet Vol. 5 No. 1 (2025): 2025
Publisher : Fakultas Teknik Universitas Muhammadiyah Parepare (FT-UMPAR)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31850/jmosfet.v5i1.3166

Abstract

The background of this research is the oyster mushroom cultivation process where people often have difficulty regulating temperature and humidity because these values change frequently, so people often have to monitor where the mushrooms grow to check the temperature and humidity. The purpose of this research is to make it easier for oyster mushroom farmers to monitor and control normalizing temperature and humidity by means of automatic watering and wider ventilation openings, this is done via the website by sending data from NodeMCU to a realtime database. The results of the research conducted show that the steam pump will automatically turn on if the DHT11 sensor detects a temperature of 28ºC or 60% humidity. The pump will automatically stop watering when the normal temperature is 22ºC-28ºC or humidity is 60%-70%. Vents will automatically open when the temperature is 22ºC or humidity is 70%. The vents will remain closed when the temperature is 22ºC or 60% humidity. Apart from watering, this system can also monitor the temperature and humidity status of the kumbung in real time through the website by sending data via firebase.
Implementasi Wireless Sensor Network Berbasis LoRa Master Slave Amaliah, Asma; Abdul Kadir, Sahbuddin; Saldina, Alviany; Amelia, Reski
Jurnal Mosfet Vol. 5 No. 1 (2025): 2025
Publisher : Fakultas Teknik Universitas Muhammadiyah Parepare (FT-UMPAR)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31850/jmosfet.v5i1.3491

Abstract

Long Range (LoRa) is a wireless communication technology using Chirp Spread Spectrum (CSS) that allows for sending low-power long-distance data via the ISM (Instrumentation Science and Medical) band. This study aims to utilize LoRa technology with a Master Slave communication model combined with a Wireless Sensor Network (WSN). The devices used in this study are LoRa, ESP32 and MQ135 sensors. The MQ135 sensor functions to measure ambient air quality. Then data from the sensor is sent using the LoRa module via 3 nodes to the master node. The OLED display is used to display the results of sensor readings in the form of CO and CO2 values. Then ESP 32 functions to process data from the sensor and regulate system performance. The air quality detection system was tested under two different conditions, areas with and without obstacles. Areas with obstacles is located on Campus 1 PNUP. Areas without obstacles is located on Mandai Underpass. The results of the tool test show that the area with obstacles located at Campus 1 PNUP, the furthest distance that can still be reached by LoRa is 100 meters. For the second location of the Mandai Underpass, the furthest distance LoRa still communicates is 140 meters.
Pengembangan PLTMH dengan Model Multipowerhouse (MPH) untuk Optimalisasi Air Buangan Turbin PLTMH Garassik di Sungai Garassik Kab. Enrekang Muhammad Khaidir; Rahman, Fadhli; Mustafa, Syahrul
Jurnal Mosfet Vol. 5 No. 1 (2025): 2025
Publisher : Fakultas Teknik Universitas Muhammadiyah Parepare (FT-UMPAR)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31850/jmosfet.v5i1.3510

Abstract

The Garassik Micro-Hydro Power Plant in Panassang Village, Enrekang Regency, with an installed capacity of 3.7 kW, experiences an energy deficit due to the community's electricity demand of 390.74 kWh per day. Despite its efficient operation, the plant generates a maximum of only 88.8 kWh per day, underscoring the need for capacity enhancement. This study explores the potential of utilizing turbine wastewater as an energy source by designing a Multi Powerhouse (MPH) Micro-Hydro Power Plant to optimize water energy usage. The proposed MPH system evaluates water energy potential, determines optimal powerhouse placements for effective head height, and calculates total power output. Unlike the single-powerhouse model, the MPH system addresses water flow limitations, particularly during periods of reduced flow, significantly improving total power output to 160.235 kW, a 171% increase. Key advantages of the MPH model include better utilization of turbine wastewater, enhanced operational flexibility, and improved water energy efficiency. Using a descriptive quantitative research method, this study begins with a location survey to collect turbine wastewater characteristics, followed by mathematical modeling for analysis. Results reveal output flow rates of 0.189 m³/s, 0.187 m³/s, and 0.185 m³/s across three powerhouses, with effective head heights of 24.782 m, 29.725 m, and 34.729 m, respectively. The system uses Crossflow turbines, ideal for medium heads and moderate flow rates. Economic analysis indicates an NPV of IDR 2.400.000.000,- an IRR of 14%, and a BCR of 2.5, with a payback period of 5.45 years, making the project financially viable and sustainable.
Deteksi Tepi Optimal dengan Integrasi Canny, CLAHE, dan Perona-Malik Diffusion Filter Hamdani, Ibnu Mansyur; Lina, Ismi Rizqa; Muslihi, Muhammad Takdir
Jurnal Mosfet Vol. 5 No. 1 (2025): 2025
Publisher : Fakultas Teknik Universitas Muhammadiyah Parepare (FT-UMPAR)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31850/jmosfet.v5i1.3638

Abstract

Edge detection is a fundamental technique in digital image processing, crucial for identifying object boundaries. However, detecting edges in low-intensity and noisy images remains a significant challenge. This study proposes an optimal edge detection method by integrating the Canny algorithm, Contrast Limited Adaptive Histogram Equalization (CLAHE), and Perona-Malik Diffusion Filter, with automatic kappa (k) value determination using the Fractional Order Sobel Mask. The process begins with noise reduction through the Perona-Malik Diffusion Filter, followed by local contrast enhancement using CLAHE, and concludes with edge detection via the Canny algorithm. Experimental results demonstrate that the proposed method significantly enhances edge clarity and robustness against noise compared to the conventional Canny algorithm, particularly for low-intensity images and images with noise. Tests on leaf and medical images confirm the effectiveness of this method in improving edge detection quality in digital images.
Analisis Medan Magnet Di Luar Sumbu Solenoida Dengan Sensor Efek Hall SS49E 3 Dimensi Saparullah, Saparullah; Arimi, Hana Indah Pertiwi; Ningrum, Resti Ayu
Jurnal Mosfet Vol. 5 No. 1 (2025): 2025
Publisher : Fakultas Teknik Universitas Muhammadiyah Parepare (FT-UMPAR)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31850/jmosfet.v5i1.3645

Abstract

This study analyzes the distribution of the magnetic field outside a solenoid using an experimental and theoretical approach with the Hall effect sensor SS49E, amplified by the IC LM358. Measurements were conducted in three dimensions to characterize the magnetic field along the solenoid. The experimental results indicate that the magnetic field distribution is non-uniform, with the highest intensity near the solenoid's ends and a minimum value at its center. Empirical data were compared with a theoretical model based on Biot-Savart’s law, showing a 98% correlation, which indicates the accuracy of the measurement method used. This research provides additional insights into the magnetic field outside solenoids and it can be an excellent school project for undergraduate students.
Pengaruh Lama Pemakaian Minyak Shell Diala B Terhadap Kuat Tegangan Tembus Aulidina Dwi Nur Andriyanti
Jurnal Mosfet Vol. 5 No. 2 (2025): 2025
Publisher : Fakultas Teknik Universitas Muhammadiyah Parepare (FT-UMPAR)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31850/jmosfet.v5i2.3892

Abstract

The electrical energy distribution of the power plant to customers was required the role of transformer that could increase and decrease voltage levels. Transformers was essential equipment in electricity distribution, both in transmission and distribution systems. Transformer was arranged of conductive materials and operated continuously, therefore it was need to be protected by insulation. The liquid insulation was commonly used, such as Shell Diala B which focused on this research. Although insulating oil was able to use over a long period, it might be regularly monitored because its ability to protect electrical equipment deteriorate. This paper was used laboratory research as the method. The researcher analyzed the effect of usage duration to determine its dielectric breakdown strength. It was found that the longer Shell Diala B oil is used, the more its quality declines, indicated by increased turbidity and decreased dielectric performance.
Analisis Sistem Monitoring dan Perancangan Alat Pendeteksi Kemiringan Tiang Listrik Dan Kerusakan Lampu Penerangan Jalan Umum (LPJU) Berbasis Internet of Things (IoT) Resky, Andi Muhammad; Wardi, Wardi; Arda, Abdul Latief
Jurnal Mosfet Vol. 5 No. 2 (2025): 2025
Publisher : Fakultas Teknik Universitas Muhammadiyah Parepare (FT-UMPAR)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31850/jmosfet.v5i2.3971

Abstract

This study aims to design and implement an Internet of Things (IoT)-based monitoring system for detecting electric pole tilt and Public Street Lighting (LPJU) failures. Stable pole structures and optimal street lighting are critical to ensure public safety and comfort, especially at night. However, manual inspections are inefficient and often fail to provide early detection of infrastructure damage. The system was developed using NodeMCU ESP8266 integrated with a potentiometer-based tilt sensor and a voltage sensor. The sensors acquire data on pole tilt and LPJU status, which are transmitted via Wi-Fi to a web-based monitoring application. Experimental procedures were carried out through laboratory testing and limited field simulations to evaluate both hardware and software performance. The test results show that the tilt sensor provides a linear response between the tilt angle and the output voltage, allowing accurate detection of pole inclination. In addition, the system successfully identified LPJU conditions (on/off) and displayed them in real-time on the monitoring dashboard. In conclusion, the proposed IoT-based monitoring system has proven reliable in detecting pole tilt and LPJU failures. This approach not only improves the efficiency of infrastructure maintenance but also contributes to the development of smart city solutions through more advanced and real-time monitoring technologies
Optimasi Peramalan Beban Listrik dengan Regresi Linear Berganda Berbasis Algoritma Genetika: Studi Kasus Kabupaten Soppeng Khaidir, Muhammad; Karim, Saktiani; Rahman N, Muhammad Fathur; Mustafa, Syahrul; Virgiawan, Reihan
Jurnal Mosfet Vol. 5 No. 2 (2025): 2025
Publisher : Fakultas Teknik Universitas Muhammadiyah Parepare (FT-UMPAR)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31850/jmosfet.v5i2.4024

Abstract

Electricity is a crucial infrastructure supporting economic and social development, thus requiring reliable supply planning. In Soppeng Regency, historical data from 2019–2023 show population growth from 226,992 to 240,955 people and GRDP increase from 10,938 to 14,909 billion rupiah, driving higher electricity demand. Customer numbers rose in the household sector from 29,438 to 34,376 and in industry from 33 to 58, with similar upward trends in connected load and energy use. This study addresses the challenge of accurate forecasting by applying Multiple Linear Regression (MLR) optimized with Genetic Algorithm (GA). Forecasting results up to 2028 predict household customers reaching 40,449 and industrial customers 89, while connected load grows from 35.7 to 34.0 million VA in households and from 8.6 to 17.4 million VA in industry. Electricity consumption is projected to exceed 41.8 million kWh in households and 13.5 million kWh in industry by 2028. Model evaluation using Mean Absolute Percentage Error (MAPE) confirms reliable accuracy, making the MLR–GA approach effective for future capacity planning.

Page 5 of 5 | Total Record : 48

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