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All Journal J-Innovation
Wahyu Priyanto
Politeknik Aceh
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering

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RANCANG BANGUN KONVEYOR PEMISAH BARANG BERDASARKAN WARNA MENGGUKAN SMART RELAY ZELIO effendi effendi; Wahyu Priyanto; Akhmad Faruqi
J-Innovation Vol. 10 No. 1 (2021): Jurnal J-Innovation
Publisher : Politeknik Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (867.038 KB) | DOI: 10.55600/jipa.v10i1.58

Abstract

The design of this goods separator conveyor aims to replace human labor in separating goods based on color, where the goods separation system is designed using the zelio smart relay (SR3B261BD) as the main controller, the conveyor belts in this system are driven by motor power wondows and are using a color sensor module. (TCS3200) as a color detection sensor which is then separated by a separation arm designed using a DC motor to separate each item according to the predetermined color, namely red, green and blue. The limit switch is used to limit the separation arm. When the goods have been separated, the separating arm will return to the starting position, this process will continue until the next cycle.
STUDI POTENSI ENERGI ANGIN KOTA BANDA ACEH DENGAN METODE RAYLEIGH DISTRIBUSI Wahyu Priyanto; Ira Devi Sara; Rakhmad Syafutra Lubis
J-Innovation Vol. 7 No. 2 (2018): Jurnal J-Innovation
Publisher : Politeknik Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (239.633 KB) | DOI: 10.55600/jipa.v7i2.61

Abstract

Modeling wind speed variations is a very important requirement in determining energy potential to find out typical winds speed in an area. Data obtained from the average wind speed in Banda Aceh City of Aceh Province were correlated from NASA Data Access (Prediction of Worldwide Energy Resource) for 1 (one) year. Wind speed data is analyzed statistically to determine the potential of wind energy as a small scale power plant, which is grouped on an annual basis. Wind power distribution is obtained by the Rayleigh distribution function method, with the aim of predicting wind energy produced as a wealth study for designing small-scale wind turbine power plants. The calculation results show that by using the annual clustering Rayleigh function method, cumulative distribution and probability density functions will be obtained. The available power from the winds of the Banda Aceh region for 1.4 m2 turbines sweapt area with an average wind speed of 4.4 m/s produces an energy potential of around 237.9 kW-hrs per year. The Rayleigh function of this distribution uses estimated parameters, which are expected to provide a more accurate prediction of the average energy produced for a region. The annual variations in wind speed and power density functions described in this article are very useful to ensure that the generator is selected and determined appropriately, so that an optimal wind turbine power plant will be obtained.
Co-Authors Akhmad Faruqi Effendi Effendi Ira Devi Sara Rakhmad Syafutra Lubis