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Contact Name
Ashadi Amir
Contact Email
ashadiamir264@gmail.com
Phone
+6285299338327
Journal Mail Official
jurnalmosfet@umpar.ac.id
Editorial Address
Jl. Jend. Ahmad Yani KM. 6, Kota Parepare, Sulawesi Selatan
Location
Kota pare pare,
Sulawesi selatan
INDONESIA
Jurnal Mosfet
ISSN : -     EISSN : 27755274     DOI : -
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).
Articles 5 Documents
Search results for , issue "Vol. 4 No. 1 (2024): 2024" : 5 Documents clear
Prediksi Kenaikan Awan Di Wisata Lolai Berbasis Machine Learning Pineng, Martina; Pasinggi, Eko Suripto; Rumpa, Lantana Dioren; Suharpania, Exzelen Tri
Jurnal Mosfet Vol. 4 No. 1 (2024): 2024
Publisher : Fakultas Teknik Universitas Muhammadiyah Parepare (FT-UMPAR)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31850/jmosfet.v4i1.2907

Abstract

The increase in cloud cover is an important indicator in predicting upcoming weather. However, manual observations of cloud cover are still limited and time-consuming. Therefore, this research aims to develop a cloud cover classification model based on measurement data in Lolai using the Naive Bayes machine learning method. In this study, data on cloud cover, temperature, and humidity measurements were collected directly in Lolai for 30 days and using online BMKG data. Then, the data was processed and divided into training and testing datasets. The Naive Bayes model was applied to the training data and its accuracy was tested on the testing data. The research results show that the cloud cover classification model based on Naive Bayes has varying accuracy levels depending on the data source. For direct measurement data, the model achieved an accuracy rate of 63%, while for online BMKG data, the model achieved an accuracy rate of 80%. In testing on the testing data, the model successfully classified cloud cover based on temperature and humidity data. This research contributes to identifying the relationship between temperature, humidity, and cloud conditions and evaluates the performance of the Naive Bayes model in determining the influence of air temperature and humidity on cloud conditions. It is expected that this research can serve as a basis for the development of weather prediction systems in the future.
Sistem Pendeteksi Kebocoran Gas LPG berbasis Internet of Things Jasmawati, Jasmawati; Wahyuddin, Wahyuddin; Andrian, Andrian
Jurnal Mosfet Vol. 4 No. 1 (2024): 2024
Publisher : Fakultas Teknik Universitas Muhammadiyah Parepare (FT-UMPAR)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31850/jmosfet.v4i1.3020

Abstract

The background of this research is the frequent occurrence of LPG gas leaks where when it occurs, no one is at home so that no one can close or disconnect the gas line. This can trigger a fire or the gas will run out wasted. Based on this background, the purpose of this research is to design a gas leak prevention system that can be connected to a smartphone. By using experimental research, namely system design and manufacturing of tools as research media, the authors created an internet-based LPG gas leak detection system of things. The data was obtained by means of library research, namely collecting references from various sources related to the research being carried out, and measuring the output on the device made of several components, namely MQ2 to detect gas ppm, load cell to read gas weight, buzzer to notify gas leaks, and servo motor to remove the gas regulator as well as the interconnection in the application (regulator safety). The parameters used for analysis are the ppm value for detecting gas leaks, the weight of gas cylinders, notifications and monitoring of gas leaks in applications. The results showed that from the data from the black box test results obtained which showed the performance of the tool was working properly, and on testing each component it also showed that it had worked according to its function, and testing on applications could bring up gas leak notifications as well as monitoring ppm and gas weight . Based on the overall system testing, it can be concluded that the tool made, namely the internet of things based LPG gas leak detection system, is running well.
Sistem Penghitung Berat Gabah Berbasis Desktop Herman, Herwin; Basri, Muhammad; Suwardoyo, Untung
Jurnal Mosfet Vol. 4 No. 1 (2024): 2024
Publisher : Fakultas Teknik Universitas Muhammadiyah Parepare (FT-UMPAR)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31850/jmosfet.v4i1.3108

Abstract

One of the interesting things to examine is the way farmers measure their grain harvest using scales. The reality in the field is that weighing is sometimes not accurate regarding the weight of certain types of grain. Actors in the field sometimes cheat by tampering with analog scales. Based on this problem, researchers conducted research to create a digital grain weight calculation application. The research was carried out by creating a digital weighing application that uses Arduino Uno as a microcontroller, load cell and HX711 module. The system is equipped with a desktop-based application to manage grain sales calculations based on weight. Testing is carried out by comparing measurement results between digital scales and the designed system. The test results show that the designed system can carry out measurements with an accuracy level of up to 90%
Sistem Monitoring Beban Tiga Fasa pada Gardu Distribusi berbasis Internet of Things Tandepadang, Eklesia Anggara; Jabbar, A. Abd.
Jurnal Mosfet Vol. 4 No. 1 (2024): 2024
Publisher : Fakultas Teknik Universitas Muhammadiyah Parepare (FT-UMPAR)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31850/jmosfet.v4i1.3109

Abstract

To achieve optimal results in distributing electrical loads, maintaining load balance among phases in a three phase installation system is essential, as any imbalance can lead to electrical power losses. One of the factors contributing to load imbalances is the improper installation of electrical equipment across the phases, deviating from the existing installation design. This research aims to develop a system, known as the Load Monitoring System, capable of storing and providing information about the load conditions installed on a three-phase transformer loading system. This system aims to facilitate the process of adding customers, dividing the load on each phase, avoiding load imbalances, and serving as a reference for routine maintenance of distribution substations annually. The methodology employed in this research is a quantitative method based on testing Internet of Things (IoT) monitoring system tools. The results show that the system effectively monitors load current and voltage at the distribution substation. Additionally, the device enables remote monitoring with the Transmitter capable of sending data to the Receiver from distances ranging from 50 m to 100 m and with the TX Max position in dense environmental conditions and full of obstacles such as buildings and trees or in rural areas with limited internet connectivity.
Perancangan Prototipe Sistem Pemanggil Perawat Nirkabel menggunakan Keypad dan Transceiver NRF24L01 Corida, Marselus Setiawan; Pawelloi, A. Irmayani; Zainal, Muhammad
Jurnal Mosfet Vol. 4 No. 1 (2024): 2024
Publisher : Fakultas Teknik Universitas Muhammadiyah Parepare (FT-UMPAR)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31850/jmosfet.v4i1.3119

Abstract

Hospital health services require effective communication tools between patients and nurses for patient comfort. Along with the development of wireless technology, many nurse call systems have been developed by researchers, application developers, and electronics activists to produce a more effective system and ease of use. The purpose of this study is to design a prototype of a wireless nurse caller system using NRF24L01 communication, and a keypad as a button that can be used by patients in the inpatient room to call patients, as well as an audio system in the nurse's room to receive calls from patients. By using the System Development Life Cycle (SDLC) method, the prototype of the nurse caller system was successfully realized and tested at the range and delay without obstacles and with obstacles. Based on the results of the distance and delay test in the unobstructed area, the caller node device and the call receiving node device can communicate at a distance of <100 meters with an average delay of 70.4 ms. Meanwhile, in the area where there is an obstacle (in the building), it shows the maximum communication ability between devices at a distance of 60 m with a delay of 74 ms and an average delay of 71 ms, Thus this prototype can be applied in hospitals.

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