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Performance Testing of DHT11 and DS18B20 Sensors as Server Room Temperature Sensors Baehaqi, Mudofar; Rosyid, Abdul; Siswanto, Agus; Subiyanta, Erfan
Mestro: Jurnal Teknik Mesin dan Elektro Vol 5 No 02 (2023): Edisi Desember
Publisher : Fakultas Teknik Universitas 17 Agustus 1945 Cirebon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47685/mestro.v5i02.466

Temperature is important parameter in many technological and scientific applications. Accurate temperature measurement is needed to monitor and control various processes, including in industry, agriculture, and in other system settings. There are several temperature sensors that can be used in measuring and monitoring microcontroller-based temperatures, for example DS18B20, DHT11, DHT22, LM35, SHT40, each of these sensors has advantages and disadvantages. In this study, we will discuss testing of two types of sensors, namely DHT11 and DS18B20. The performance of the two sensors will be tested, value of accuracy and the level of error in reading compared to tools commonly used in measuring temperature in the server room. The method used in this study is an experimental approach to compare the performance of the DHT11 and DS18B20 temperature sensors. The experimental approach allows us to perform tests and measurements directly on both sensors to obtain objective and accurate data. From the results of testing the temperature in the server room using the DHT11, DS18B20 sensors and compared with the Fluke 179 True-RMS Digital Multimeter, 10 trials were carried out, showing an average error value of 3.37 for the DHT11 sensor and 1.17 for the DS18B20 sensor. for the accuracy value of 96.63% for the DHT11 sensor and 98.83 for the DS18B20 sensor.

INFORMATION SYSTEM PROTOTYPE WEB-BASED HEALTH FOOD DELIVERY S.Kom.,M.Pd, Arifudin; Baehaqi, Mudofar; Siswanto, Agus; Rosalina, Mia
Mestro: Jurnal Teknik Mesin dan Elektro Vol 5 No 02 (2023): Edisi Desember
Publisher : Fakultas Teknik Universitas 17 Agustus 1945 Cirebon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47685/mestro.v5i02.472

The development of Industry 4.0 era makes today's technology more modern. With the development of technology, the use of Information Technology in business is increasing to help increase productivity, efficiency, and business profits. Epa Café & Resto is a business engaged in culinary. Epa Café Resto has problems such as still using a manual system, the customer must come to the restaurant to transact and the absence of digital promotion making it difficult to compete. The proposed solution to overcome the problem is to create an information system in the form of website delivery order. The Website is built using the waterfall method, while the programming language used is PHP and utilizes the code Igniter framework. Testing the system using blackbox testing method. The test results stated that the information system can work in accordance with the specifications and in accordance with user needs. The resulting information system can make it easier for customers to make transactions anywhere and anytime without having to come to the place. In addition, with the presence of this website, data processing will be more effective, efficient, and also transparent so that it can facilitate the process of sales transactions.

Flower Polination Algorithm Sebagai Optimalisasi LFC Pada Hybrid Pembangkit Wind-Diesel Ali, Machrus; Siswanto, Agus; Baehaqi, Mudofar
Jurnal FORTECH Vol. 5 No. 1 (2024): Jurnal FORTECH
Publisher : FORTEI (Forum Pendidikan Tinggi Teknik Elektro Indonesia)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56795/fortech.v5i1.5106

As input power, the amount of wind and wind speed greatly influences the wind power generation system. A combination of a wind-diesel power generation system is needed to obtain optimal power quality. A hybrid system is a controlled network of multiple renewable energy generators such as wind turbines, solar cells, micro-hydro, and so on. Gain settings that are not optimal and the time constant is small in Load Frequency Control (LFC), causing its ability to be weak (weak line). In practice, the wind-diesel system is controlled with a PID controller. Setting the gain value of the PID is still in the conventional method, so it is difficult to get the optimal value. In this research, a control design was implemented using the Smart Method to find the optimum value of the Proportional Integral Derivative (PID) based on the FPA (Flower Pollination Algorithm). For comparison, methods were used without control methods, conventional PID methods, PID Auto tuning methods, and FPA (Flower Pollination Algorithm) methods. Wind-diesel modeling uses transfer function diagrams of wind and diesel turbines. This study compares several uncontrolled methods and conventional PID, PID-Auto tuning, and PID-FPA. The results of the research that has been carried out show that the smallest undershoot is -1.187.10-04 for PID-FPA, the smallest overshot is 0 for PID-FPA, and the fastest settling time is 9.827 s for PID-FPA. So it can be concluded that PID-FPA is the best controller in this research. This research can later be continued using other artificial intelligence methods.

Analisa Overhaul Aliran Beban PMT GI 150/70 kV Menggunakan ETAP pada SUTT 70 kV Siswanto, Agus; Baehaqi, Mudofar; Naufal, Mansur
Nucleus Journal Vol. 3 No. 2 (2024): November
Publisher : Universitas Darul Ulum

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32492/nucleus.v3i2.3202

The power breaker (PMT) in the transmission system functions as a load breaker both under normal circumstances and when a disturbance occurs. In July 2021 it was discovered that there was an SF6 gas leak at (PMT) bay Arjawinangun 2 at Gi Sunyaragi. Under these conditions an overhaul was carried out which in the implementation found several sources of causes of leaks such as scale and corrosion at the joints and packing conditions that were no longer flexible. Before the implementation and after the implementation of the overhoul, tests were carried out including: contact resistance testing, insulation resistance testing and after a series of tests were carried out, then an analysis of the test results was carried out and a voltage drop simulation was carried out using the Etap 12.6 software from a series of activities, 5 simulation results were obtained and concluded that the system is still within safe limits (up 5%, down 10% from the nominal voltage). As well as other tests such as isolation resistance and contact resistance are still included in the specified standard category, so it is concluded that the PMT bay Arjawinangun 2 is in good condition and safe to operate.

Flower Polination Algorithm Sebagai Optimalisasi LFC Pada Hybrid Pembangkit Wind-Diesel Ali, Machrus; Siswanto, Agus; Baehaqi, Mudofar
Jurnal FORTECH Vol. 5 No. 1 (2024): Jurnal FORTECH
Publisher : FORTEI (Forum Pendidikan Tinggi Teknik Elektro Indonesia)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56795/fortech.v5i1.5106

As input power, the amount of wind and wind speed greatly influences the wind power generation system. A combination of a wind-diesel power generation system is needed to obtain optimal power quality. A hybrid system is a controlled network of multiple renewable energy generators such as wind turbines, solar cells, micro-hydro, and so on. Gain settings that are not optimal and the time constant is small in Load Frequency Control (LFC), causing its ability to be weak (weak line). In practice, the wind-diesel system is controlled with a PID controller. Setting the gain value of the PID is still in the conventional method, so it is difficult to get the optimal value. In this research, a control design was implemented using the Smart Method to find the optimum value of the Proportional Integral Derivative (PID) based on the FPA (Flower Pollination Algorithm). For comparison, methods were used without control methods, conventional PID methods, PID Auto tuning methods, and FPA (Flower Pollination Algorithm) methods. Wind-diesel modeling uses transfer function diagrams of wind and diesel turbines. This study compares several uncontrolled methods and conventional PID, PID-Auto tuning, and PID-FPA. The results of the research that has been carried out show that the smallest undershoot is -1.187.10-04 for PID-FPA, the smallest overshot is 0 for PID-FPA, and the fastest settling time is 9.827 s for PID-FPA. So it can be concluded that PID-FPA is the best controller in this research. This research can later be continued using other artificial intelligence methods.

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