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Teknik Elektro Fakultas Teknik Universitas Widyagama Malang Jl. Taman Borobudur Indah 03 Malang Jatim Indonesia
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JASEE Journal of Application and Science on Electrical Engineering
Published by UNIVERSITAS WIDYAGAMA MALANG
ISSN : 27213625     EISSN : 2721320X     DOI : https://doi.org/10.31328/jasee.v1i02
Core Subject : Engineering,
Control & Systems Engineering Electrical & Electronics Engineering
Teknik Elektro Fakultas Teknik Universitas Widyagama Malang mempublikasikan JASEE Journal of Application and Science on Electrical Engineering sebagai jurnal open access yang memuat tulisan ilmiah hasil review, penelitian, aplikasi dan pengembangan di bidang Teknik Elektro. Focus and Scope : Sistem pembangkit, transmisi, distribusi dan proteksi tenaga listrik, Transformator, elektronika dan kualitas daya listrik, motor-motor listrik, Sistem kendali, pengukuran dan instrumentasi elektronik, mikrokontroler, sistem tertanam berbasis arduino dan FPGA, instrumentasi medik, Pengolahan sinyal multimedia, jaringan telekomunikasi dan sensor, jaringan komputer, elektronika komunikasi, disain antena komunikasi, radio kognitif, Robotika dan aplikasi kecerdasan buatan.
Arjuna Subject : Teknik (semua kategori) - Teknik Listrik dan Elektro
Articles 5 Documents
 1 
Search results for , issue "Vol. 4 No. 02 (2023): JASEE-September" : 5 Documents clear
Proyeksi Kebutuhan Energi Listrik dengan Metode Regresi Linear Berganda di UP3 Mojokerto Tahun 2022 sampai 2027 Mirelle Ferent Hasnitha; RB. Moch. Gozali; Suprihadi Prasetyono
JASEE Journal of Application and Science on Electrical Engineering Vol. 4 No. 02 (2023): JASEE-September
Publisher : Teknik Elektro - Fakultas Teknik - Universitas Widyagama Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31328/jasee.v4i02.427

Abstract

Demand for the availability of electrical energy in the future requires good planning and forecasting. Based on data from BPS (Badan Pusat Statik) East Java, the population and the number of electricity customers in East Java province has increased every year. So a forecasting can be done to find out the estimated demand for electrical energy needs in the future. In this study using multiple regression analysis method to project electricity demand in UP3 Mojokerto from 2022 to 2027. The results of the 2022 projection will be compared with the actual data in 2022 for data validation with the calculation of MAPE (Mean Absolute Percent Error). The resulting MAPE value is less than 10%, which means that this multiple linear regression method is a very good method used to project electrical energy demand at UP3 Mojokerto in 2022-2027. That way, the results of projected electrical energy demand with multiple linear regression methods in UP3 Mojokerto in 2022 amounted to 4,937,341 MWh, and in 2023 to 2027 the projected electrical energy demand increased successively by 5,323,722 MWh, 5,721,631 MWh, 6,131,543 MWh, 6,553,951 MWh, and 6,989,371 MWh. With an average growth from 2022 to 2027 of 6.30%.
RANCANG BANGUN SISTEM MONITORING GENSET MELALUI NOTIFIKASI APLIKASI TELEGRAM Husein Romadhoni; Gigih Priyandoko; Dedi Usman Effendy
JASEE Journal of Application and Science on Electrical Engineering Vol. 4 No. 02 (2023): JASEE-September
Publisher : Teknik Elektro - Fakultas Teknik - Universitas Widyagama Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31328/jasee.v4i02.428

Abstract

Generator set (Genset) is a backup power generation system that uses kinetic energy. Generators are usually used when the PLN shutdown. To back up the electricity supply when the PLN shutdown, having a generator is very important in various industry, offices, companies and factories. Because of the importance of the need for Genset, a Genset monitoring system is needed so that generators will always ready to operation at anytime when needed. Telegram is an application that provide services to users to send messages safely and quickly. Telegram can send messages in the form of text, photos, videos and documents. Telegram is available on smartphones, tablets, and even computers, beside of being able to be used on many platforms. Based on the problems above, this research was conducted to design a Genset monitoring system that is urgently needed to support Genset operations based on the Internet of Things, there is monitoring of fuel capacity, battery voltage capacity, temperature around the Genset area which is integrated with Telegram notifications. This monitoring system can make sure that the Genset is ready to operate, and the Telegram notification will appear if one or several systems have problem, so we can take action immediately to solve the problem.
Aplikasi Smart Clustering Pada Klasifikasi Buah Naga Menggunakan Metode Convolutional Neural Network di Kabupaten Banyuwangi Adi Mulyadi; Fuad Ardiyansyah; Charis Fathul Hadi
JASEE Journal of Application and Science on Electrical Engineering Vol. 4 No. 02 (2023): JASEE-September
Publisher : Teknik Elektro - Fakultas Teknik - Universitas Widyagama Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31328/jasee.v4i02.433

Abstract

This article discusses the application of smart clustering in the classification of dragon fruit in Banyuwangi Regency. Banyuwangi is the largest production center in Indonesia. However, some farmers experience problems in producing quality fresh fruit that meets market demand. Therefore, a convolutional neural network method is proposed for the dragon fruit classification system to differentiate rotten and fresh fruit. The dragon fruit sample uses 50 fruits which will be trained based on digital images. The results of applying smart clustering show that the best fruit search value achieved an epoch accuracy of 99.24% with 100 iterations. Meanwhile, iterations 50 and 70 get epoch accuracy of 98.88% respectively. The results of fruit classification are used as initial data in determining good (fresh) and bad (rotten) fruit quality. So, dragon fruit farmers can harvest earlier before the disease spreads to other fruit.
Perbaikan Faktor Daya Pada Beban Listrik Skala Rumah Tangga Dengan Metode Fuzzy Logic Fachrudin Hunaini; Andhika Ridho Adisyahrudin; Sabar Setiawidayat
JASEE Journal of Application and Science on Electrical Engineering Vol. 4 No. 02 (2023): JASEE-September
Publisher : Teknik Elektro - Fakultas Teknik - Universitas Widyagama Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31328/jasee.v4i02.434

Abstract

The use of electrical energy is very important for household needs. The greater the use of electrical loads, the greater the need for electrical energy. Every electrical load has a power factor. A low power factor value <0.8 causes power and current usage to be less than optimal. This can be caused by the large use of inductive loads such as electric pumps, electric heaters, TL lamps, and so on. To overcome this, it is necessary to improve the power factor by using capacitors. In this paper, power factor improvement is designed using the Fuzzy Logic method as a data processor embedded in the microcontroller to determine the capacitor variable supported by a sensor to read the values of current, voltage, power, cosphi, and frequency in the electric current as input to the microcontroller and a combination of relays as output to determine the best capacitor value so that the power factor is improved to > 0.8.The use of electrical energy is very important for household needs. The greater the use of electrical loads, the greater the need for electrical energy. Every electrical load has a power factor. A low power factor value <0.8 causes power and current usage to be less than optimal. This can be caused by the large use of inductive loads such as electric pumps, electric heaters, TL lamps, and so on. To overcome this, it is necessary to improve the power factor by using capacitors. In this paper, power factor improvement is designed using the Fuzzy Logic method as a data processor embedded in the microcontroller to determine the capacitor variable supported by a sensor to read the values of current, voltage, power, cosphi, and frequency in the electric current as input to the microcontroller and a combination of relays as output to determine the best capacitor value so that the power factor is improved to > 0.8.  
Rancang Bangun Jebakan Tikus Berbasis Internet of Things dan Camera ESP32 Mohammad Idris Andriansyah; Jamaaluddin Jamaaluddin; A. Ahfas; Izza Anshory; Dwi Hadidjaja
JASEE Journal of Application and Science on Electrical Engineering Vol. 4 No. 02 (2023): JASEE-September
Publisher : Teknik Elektro - Fakultas Teknik - Universitas Widyagama Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31328/jasee.v4i02.442

Abstract

This research targets rats, which are notorious pests causing food spoilage, disease transmission, and human bites in residential areas, by developing an IoT-based automatic trap. Using ESP32-CAM and IoT technology, the trap ensures effective and safe rat capture with real-time monitoring. The NodeMCU-ESP8266 microcontroller integrates with the Blynk app for seamless control. HCSR-04 Ultrasonic Sensors and 2 Servo Motors detect rats and automate door movement. Employing a research and development approach, the study meticulously assesses sensor, motor, and trap accuracy. Findings highlight the initial Ultrasonic Sensor's proficiency in detecting mice within 16cm, triggering door 1 closure and trapping the mouse. The second Ultrasonic Sensor triggers door 2 to open, releasing the mouse into the electric trap. A Blynk app notification informs users of successful captures. This innovative IoT-based rat trap offers an efficient solution for rodent infestations, potentially enhancing residential environments with scope for further improvements

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