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Contact Name
JEEE
Contact Email
jeee@unsil.ac.id
Phone
+6289688882788
Journal Mail Official
jeee@unsil.ac.id
Editorial Address
Universitas Siliwangi Jl. Siliwangi No.24, Kahuripan, Kec. Tawang, Tasikmalaya, Jawa Barat 46115
Location
Kota tasikmalaya,
Jawa barat
INDONESIA
Journal of Energy and Electrical Engineering (JEEE)
Published by Universitas Siliwangi
ISSN : -     EISSN : 2720989X     DOI : -
JEEE is a journal that contains research results in the field of Energy and Electrical Engineering. This journal can be used as a source of scientific information for researchers, researcher academia or institution, and government agencies. The topic focused on Power Systems, Control Systems, Energy Management and Electrical Materials. JEEE is published by Teknik Elektro Universitas Siliwangi and managed to be issued twice in every volume on October and April.
Articles 64 Documents
PROTOTYPE OF INSPECTION EXHAUST BRAKE VEHICLE BASED MICROCONTROLLER Setia Hadi Pramudi; Dzikri Putra Abdillah; Helmi Wibowo; I Made Suartika
Journal of Energy and Electrical Engineering (JEEE) Vol 5, No 1: Oktober 2023
Publisher : Teknik Elektro Universitas Siliwangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37058/jeee.v5i1.8546

Abstract

Technical requirement checking relating exhaust brake on vehicle inspection is still lacking because there is no additional equipment which can helps to ensure the exhaust brake works. From that case a set of research is conducted to help inspectors to ensure the exhaust brake works normally  by using microcontroller based prototype. This research aims to design and implement the inspect equipment of exhaust brake using sound sensor DFr and air Sensor. The process requires 3 inspectors and by using this tool, inspectors could ensure the exhaust brake works or not for hino vehicle. This research shows that measuring by using this auxiliary tool for checking the exhaust brake could inform the fluctuation of sound produced by vehicle machine and decreasing air on exhaust brake system. The result of its prototype testing, the sound sensor is able to detect the increasing of sound and if the sound level reaches 80 dB, there will be a green as warning LED and l2c LCD displays the noise level and the prototype could works properly, the accuracy percentage is 97% and for the air Sensor’s accuracy is 92%
INTERNET OF THINGS (IoT) BASED SCALES FOR DYNAMIC LOADS WITH WEIGHT FORECASTING FEATURE Veni Silviani; Nurul Hiron; Firmansyah Maulana Sugiartana Nursuwars
Journal of Energy and Electrical Engineering (JEEE) Vol 5, No 1: Oktober 2023
Publisher : Teknik Elektro Universitas Siliwangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37058/jeee.v5i1.6017

Abstract

A scale is a measuring instrument used to measure the weight of an object. The current weighing system has not been able to identify the item being weighed and has not been able to save the weighting data automatically, in this study a weighing system was developed that can identify the load using RFID and can store the weighing data in a web browser so that there is no manipulation of the weighing data. and the system is able to predict the results of weighing the load with a linear regression method to determine the growth of the weight object. The microcontroller used is Arduino Uno and the weight sensor used is a half bridge type load cell. From the sensor accuracy test with a load weight of 0.90 Kg, 12.95 Kg, 55.42 Kg, 125.95 Kg, the highest error occurred when the load was 0.90 Kg while the lowest error was at 55.45 Kg. the object of a moving load is difficult to produce the same weight in the first measurement and so on. Testing the accuracy of predictions is evidenced by the MSE value of 0.0017 and MAPE of 0.0742%, which means that the prediction using the linear regression method is classified as very good.
OPTIMIZATION OF DISTRIBUTED GENERATION INSTALLATION IN CILEDUG TASIKMALAYA FEEDER TO REDUCE POWER LOSS WITH GENETIC ALGORITHM (GA) METHOD Firman Saifullah; Aripin Aripin; Sutisna Sutisna
Journal of Energy and Electrical Engineering (JEEE) Vol 5, No 1: Oktober 2023
Publisher : Teknik Elektro Universitas Siliwangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37058/jeee.v5i1.8323

Abstract

Distributed generation (DG) is a small-scale power plant that is generally located close to the load. The installation of DG can be an alternative to reduce power losses in the distribution system. In this study, the placement and capacity optimization of DG to Ciledug feeder is carried out. Optimization is carried out using the genetic algorithm (GA) method which aims to reduce power losses in the system. The simulation is divided into 2 stages. In the first simulation before the installation of DG, the power loss obtained was 755,807 kW, and the voltage profile experienced under voltage from bus 31 to bus 104. The second simulation will be carried out by adding DG to the network, the DG used amounted to 2, 3, and 4 DG units. The location and capacity of DG are searched using the genetic algorithm optimization technique. The optimization results using 2 DGs, showed that the DGs were connected at bus 95 and bus 97 with a capacity of 0.969 MW and 0.480 MW, respectively. The addition of 2 DGs to the network reduces the power loss to 398,899 kW. Next, the optimization results using 3 DGs, showed that DGs were connected at bus 96, bus 78, and bus 67 with a capacity of 0.977 MW, 0.977 MW, and 0.013 MW, respectively. The addition of 3 DGs to the network reduces the power loss to 236,920 kW. Finally, the optimization results using 4 DGs show that DGs are connected at bus 67, bus 80, bus 46, and bus 26 with a capacity of 0.951 MW, 0.799 MW, 0.616 MW, and 0.257 MW, respectively. The addition of 4 DGs to the network reduces the power loss to 141,465 kW.
PROTOTIPE SISTEM PENDINGIN AIR DAN PENGHILANG KOTORAN PADA PANEL SURYA Wahyu Gunawan; Purwiyanto Purwiyanto; Arif Sumardiono
Journal of Energy and Electrical Engineering (JEEE) Vol 5, No 1: Oktober 2023
Publisher : Teknik Elektro Universitas Siliwangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37058/jeee.v5i1.8482

Abstract

Panel surya adalah salah satu opsi energi alternatif yang ramah lingkungan dan memiliki potensi yang tak terbatas secara signifikan. Tetapi perlu perawatan dan pendinginan yang sesuai untuk memaksimalkan kinerja. Studi sebelumnya sudah mengenali batasan-batasan seperti penumpukan debu dan kotoran, serta pemanasan berlebih yang bisa mengurangi efisiensi kinerja panel surya. Sejumlah penelitian telah berupaya mengatasi isu tersebut melalui penerapan sistem pendinginan otomatis yang mengandalkan mikrokontroler. Hasil penelitian sebelumnya menunjukkan bahwa implementasi sistem pendingin telah berhasil mengurangi suhu rata-rata permukaan panel surya, yang pada gilirannya meningkatkan daya dan efisiensi keseluruhan sistem. Namun, sebagian besar sistem ini menggunakan layar LCD untuk pemantauan. Dalam rangka mengatasi permasalahan tersebut, tujuan dari penelitian ini adalah mengembangkan sistem pendinginan dan membersihkan panel surya dengan menggunakan wiper yang dapat diatur sesuai dengan jadwal waktu tertentu. Selain itu, sistem ini juga memiliki kemampuan dapat dipantau dan dikontrol melalui aplikasi mobile berupa user interface yaitu blynk sehingga memudahkan pengguna dalam memantau dan mengontrol pengoperasian panel surya. Hasil penelitian ini memberikan nilai tegangan rata-rata sebesar 21,34 V dalam kondisi normal, 21,27 V dalam kondisi berdebu, dan 21,91 V dalam kondisi dibersihkan. Dan terdapat nilai suhu rata-rata sebesar 46,2 °C pada kondisi normal, suhu 45,74 °C pada kondisi berdebu, serta suhu 39.34 °C dalam keadaan dibersihkan. Berdasarkan informasi tersebut, setelah dilakukan pembersihan, tegangan akan meningkat dan suhu akan menurun dibandingkan kondisi normal atau berdebu.