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Fuzzy Logic Implementation to Control Temperature and Humidity in a Bread Proofing Machine Aulia Ullah; Oktaf Brillian Kharisma; Imam Santoso
Indonesian Journal of Artificial Intelligence and Data Mining Vol 1, No 2 (2018): September 2018
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (941.264 KB) | DOI: 10.24014/ijaidm.v1i2.5664

Abstract

Factors that need to be considered of producing good quality bread are raw materials, balance formulas (recipes) and production processes. The bread dough that cannot proof perfectly has become a problem in the process of bread production. Therefore, the temperature and humidity of the room must be controlled at a certain temperature range. The solution of this problem is proposing a controller that uses Fuzzy logic to control temperature and humidity in the bread examination room. A bread proofing machine is added a controller such as evaporator that it is can controlled the temperatur and humidity automatically. The heat and steam produced are regulated using a Fuzzy logic algorithm embedded in the microcontroller with a predetermined set point of temperature and humidity is 35 oC and 80%. The test is done by determining the percentage error from the temperature and humidity test results, that is when the machine is free of load obtained the percentage error to set points is 0,429 %  and 0,937 %. While the engine is loaded. It gives the results are 0,024 % and 0,015%. The results of this test prove that controlling temperature and humidity in a bread proofing machine using Fuzzy logic can provide good results compared to conventional controllers. as a result, the bread mixture can expand uniformly.
PENGEMBANGAN SISTEM AKUISISI DATA RADIASI MATAHARI MENGGUNAKAN PHYRANOMETER MEMANFAATKAN SENSOR PHOTOVOLTAIC Aulia Ullah; Edy Syahputra
Seminar Nasional Teknologi Informasi Komunikasi dan Industri 2017: SNTIKI 9
Publisher : UIN Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1192.174 KB)

Abstract

Perancangan pembangkit listrik tenaga surya di suatu lokasi sangat dipengaruhi oleh intensitas radiasi matahari, sebab variabel tersebut memiliki pengaruh terhadap daya keluaran yang dihasilkan panel surya. Data ini umumnya bisa didapatkan dari lembaga pemerintah seperti BMKG atau NASA, namun data tersebut hanya tersedia untuk wilayah tertentu saja. Pengukuran radiasi matahari secara langsung perlu dilakukan untuk memenuhi kebutuhan data yang tidak tersedia. Alat yang digunakan untuk mengukur radiasi matahari umumnya menggunakan pyranometer, namun pyranometer konvensional harganya relatif mahal. Pyranometer dapat dibuat lebih murah dengan cara menggunakan sensor photovoltaic sebagai pengganti sensor radiasi matahari. Agar Proses pengukuran lebih mudah dan portabel, pengiriman data dari sensor dilakukan secara wireless, dan untuk memudahkan mengolah data tersebut lebih lanjut dilakukan proses akusisi data. Dari proses pengujian didapatkan, akurasi sensor photovoltaic pyranometer memiliki error 14,13 % dengan error pengiriman data sebesar 0,43 %. Proses akusisi data berjalan dengan baik, sudah dapat menampilkan grafik dan menampilkan data lampau.
Alat Monitoring dan Notifikasi Penggunaan Daya Listrik Rumah Tangga Berbasis Internet Of Things Menggunakan Blynk 2.0 Arif Sandira; Jufrizel; Putut Son Maria; Aulia Ullah
Jurnal Komputer Terapan Vol. 8 No. 2 (2022): Jurnal Komputer Terapan
Publisher : Politeknik Caltex Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35143/jkt.v8i2.5761

Abstract

Every year the number of electricity consumers continues to increase, but knowledge about electricity is still poorly understood, especially for consumers in the household aspect even though digital kWh meters have been applied, this causes the use of electrical energy to be less efficient. This study aims to create a monitoring tool for the use of electric power as well as a notification so that consumers can save electricity costs. The method used is research and development to improve existing products by testing their effectiveness. This tool uses the PZEM-004T module as a current and voltage reader sensor, and Blynk 2.0 as an internet of things platform. The test results show the tool can read the voltage with a difference of 0.7V and the current with a difference of 0.1433A. The tool can monitor electricity, and there are notifications on tools and smartphones in the form of warnings for 500 Watt usage, increasing the number of usages of Rp. 5000, and Offline conditions. The experiment of implementing the tool for 6 days, consumers were able to save electricity usage as much as 0.51kWh or equivalent to Rp.781.01 compared to without the tool.