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All Journal International Journal of Electrical and Computer Engineering SinarFe7 Electron: Jurnal Ilmiah Teknik Elektro JEECS (Journal of Electrical Engineering and Computer Sciences)
Adiananda Adiananda
Universitas Bhayangkara Surabaya
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy

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Multi Units of Three Phase Photovoltaic using Band Pass Filter to Enhance Power Quality in Distribution Network under Variable Temperature and Solar Irradiance Level Adiananda Adiananda; Agus Kiswantono; Amirullah Amirullah
International Journal of Electrical and Computer Engineering (IJECE) Vol 8, No 2: April 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (789.063 KB) | DOI: 10.11591/ijece.v8i2.pp806-817

Abstract

The paper proposed power quality enhancement on three phase grid of point common coupling (PCC) bus due to integration of multi units of photovoltaic (PV) to 380 volt (phase-phase) 50 Hz low voltage distribution network under variable temperature and irradiance level. The band pass filter models (single tuned and double tuned) were installed to improvement power quality on the conditions i.e. without filter, with single tuned filter, and with double tuned filter. Multi units of PV generator without filter, with single tuned, and with double tuned filter at all temperatures and irradiance levels resulted in relatively stable phase voltage (308 and 310 volt), so able to generate an unbalanced voltage of 0%. The maximum phase current for the system without filter at all temperatures and radiation levels of 9.8, 12.5, and 10 ampere respectively, resulted in an unbalanced current of 16.10% . Under the same condition, single tuned and double tuned filters were able to balance phase current to 10.45 A and 10.44 ampere respectively, resulting in an unbalanced current of 0%. Implementation of single tuned and double tuned filters was able to reduce unbalance current according to ANSI/IEEE 241-1990. At constant temperature and irradiance increased, both average voltage and current harmonics also increased. Double tuned active filter was the most effective to suppress the 11th and 13th harmonics so that capable to migitate average voltage and current harmonics better than system using single tuned filter which could only reduce 5th harmonic within IEEE 519-1992.
Rancang Bangun Prototipe Pengaman Kendaraan Berbasis GPS Komunikasi Pesan Telegram dan Thingspeak Mukhammad Fatoni; Adiananda
ELECTRON Jurnal Ilmiah Teknik Elektro Vol 2 No 2 (2021): Jurnal Electron, November 2021
Publisher : Jurusan Teknik Elektro Fakultas Teknik Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/electron.v2i2.1

Abstract

Vehicle theft cases occur due to various factors, namely: minimal vehicle security system, lack of supervision and the location is easy to commit theft. In motor vehicle theft, it is often the case that the vehicle owner has difficulty tracking the vehicle carried by the thief. The creation of a vehicle safety system aims to safeguard vehicles when parking and monitor vehicle coordinates in real time integrated with the Thingspeak Web server and Telegram messages as system control. The design of the tool begins with looking for references to literature reviews, designing the system, which includes hardware design and software design, then the system will be tested. Testing and analysis includes Testing Tool Responses to Telegram Messages, GPS Signal Lock Testing, GPS Data Reading Accuracy Testing, SW-420 Vibration Sensor Testing on the System and Overall System Testing. Results of Testing Tool Responses to Telegram Messages with an average time of 19.8 seconds. Test Results of the GPS Signal Lock with an average time of 266.67 seconds. GPS Data Readout Accuracy Testing Results with an average difference of 19.99 meters. Test Results of the SW-420 Vibration Sensor in the System, if the sensor condition detects a vibration, the sensor output is High so that the buzzer is active and the Telegram message notification enters the user's Telegram account. Overall System Testing includes Testing System Control Mode and System Information Mode Testing.
Sistem Kontrol Nutrisi untuk Tanaman Sayur Buah Hidroponik Berbasis Fuzzy Logic Dani Ardiyansyah; Richa Watiasih; Adiananda
SinarFe7 Vol. 3 No. 1 (2020): Sinarfe7-3 2020
Publisher : FORTEI Regional VII Jawa Timur

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (661.124 KB)

Abstract

Budidaya tanaman dengan metode hidroponik sangat populer saat ini. Sistem hidroponik menggunakan air yang mengandung nutrisi. Faktor yang mempengaruhi air nutrisi adalah suhu air, nilai electrical conductivity (EC), dan potensial hidrogen (pH). Namun, petani hidroponik masih melakukan pengendalian konsentrasi larutan nutrisi dengan cara manual. Apabila tingkat nutrisi yang dibutuhkan tidak sesuai, maka tanaman akan mati ataupun terjadi masalah pada pertumbuhannya. Pada penelitian ini peneliti merancang dan membuat alat sistem kontrol nutrisi untuk tanaman sayur buah hidroponik berbasis fuzzy logic. Sistem ini terdiri sensor TDS, sensor level switch, RTC DS3231, Arduino Mega 2560, akuator pompa air dan aerator. Hasil dari pengukuran pada alat ini diolah menjadi informasi yang dapat digunakan untuk mengetahui kondisi nilai kadar garam terlarut tanaman yang akan ditampilkan pada LCD. Berdasarkan hasil pengujian sistem kontrol nutrisi berbasis fuzzy logic pada tanaman tomat ceri diperoleh hasil bahwa sensor memenuhi kriteria yaitu waktunya cepat dan relatif stabil. Dibuktikan dengan pengujian menggunakan air 7 liter rerata waktu yang dibutuhkan untuk mencapai kadar garam terlarut dari 191 ke 650 tanpa metode fuzzy logic adalah 42,33 detik sedangkan dengan menggunakan metode fuzzy logic adalah 35,66 detik. Tidak hanya itu pada pengamatan hari terakhir pertumbuhan tanaman menggunakan metode fuzzy logic lebih tinggi 29 cm daripada tanpa menggunakan metode.
Image Based Object Tracking Target on Ship Robot for Oil Waste Cleaner Richa Watiasih; Ahmadi; Adiananda
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 7 No. 2 (2022): JEECS (Journal of Electrical Engineering and Computer Sciences)
Publisher : Fakultas Teknik Universitas Bhayangkara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1111.069 KB) | DOI: 10.54732/jeecs.v7i2.17

Abstract

The existing oil waste water contains oil, solids, water and heavy metals. This oil waste is a contaminant material that can cause negative impacts to the aquatic environment as well as the existing living creatures around it so that it requires a careful and fast handling to clean. The research resulted in the tracking system on the image-based-ship robot by using the method of histogram and fuzzy logic controller that can detect the image of waste water well. The result of the testing of the ship robot done on the pool indicated that it took about ± 196.92 seconds for the robot to detect the image of oil waste objects. The oil waste suctioning process took a maximum of 60 seconds for once.
Pattern Recognition of Signature Verification Using Cellular Automata Methods Adiananda; Retantyo Wardoyo
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 1 No. 2 (2016): JEECS (Journal of Electrical Engineering and Computer Sciences)
Publisher : Fakultas Teknik Universitas Bhayangkara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (501.932 KB) | DOI: 10.54732/jeecs.v1i2.170

Abstract

A pattern recognition technique in the field of machine learning and can be defined as "the act of taking raw data and act upon data classification". Much research has been done on the topic of pattern recognition using a variety of methods one of which is by using the cellular automata. In this study used cellular automata method for finding and extracting characteristics of an image of the signature and realized in a pattern recognition software that can verify the authenticity of the signature image by using cellular automata method for the extraction process characteristics. In this study used data 57 respondents with 6 signatures used as a reference image. Three pieces of the original signature image and 10 pieces of counterfeit signature image is used as the test images (query). From the testing that has been done precision 88.30%, recall 65.37% and accuracy 71.31%.
Co-Authors Agus Kiswantono Ahmadi Amirullah Amirullah Dani Ardiyansyah Mukhammad Fatoni Retantyo Wardoyo Richa Watiasih Richa Watiasih