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All Journal ComEngApp : Computer Engineering and Applications Journal Journal of Applied Smart Electrical Network and System (JASENS) International Journal of Research in Vocational Studies (IJRVOCAS)
Tresna Dewi
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Aerospace Engineering Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Social Sciences Other

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Journal : ComEngApp : Computer Engineering and Applications Journal

 1 
Peat Land Fire Monitoring System Using Fuzzy Logic Algorithm Nyayu Husni Latifah; Masayu Annisah; Tresna Dewi
Computer Engineering and Applications Journal Vol 8 No 3 (2019)
Publisher : Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (308.235 KB) | DOI: 10.18495/comengapp.v8i3.297

Abstract

In this research, a fuzzy logic algorithm is implemented in a monitoring system for detecting the potential fires in peat land. The monitoring system in this research employs two sensors as the fuzzy inputs, i.e. TGS 2600 gas sensor and DHT11 temperature sensor. The outputs of the fuzzy logic are the specified conditions of motor activation (PWM) with 3600 rotations. The system is monitored through camera, which sends the monitoring result to android via web server. The result is sent when TGS 2600 and DHT11 sensors detect the determined gas concentration and surrounding temperature. Before sending the result, the rotating motor stops every five minutes to take the photograph of peat land location. The result shows that the algorithm used in this research has been successful in determining the condition of the peat lands correctly and therefore can be used as the early prevention of fires.
Simulation Design of Artificial Intelligence Controlled Goods Transport Robot Yurni Oktarina; Destri Zumar Sastiani; Tresna Dewi
Computer Engineering and Applications Journal Vol 11 No 2 (2022)
Publisher : Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (298.753 KB) | DOI: 10.18495/comengapp.v11i2.411

Abstract

Technological advances enable scientists and researchers to develop more automated systems for life's convenience. Transportation is among those conveniences needed in daily activities, including warehouses. The easy-to-build and straightforward transport robot are desired to ease human workers' working conditions. The application of artificial intelligence (AI), Fuzzy Logic Controller, and Neural Network ensures the robot is able to finish assigned tasks better and faster. This paper shows the concept design of an AI-controlled good transport robot applied in the warehouse. The design is made as fast and straightforward forward possible, and the feasibility of the proposed method is proven by simulation in Scilab FLT and Neuroph.
Co-Authors Ariski, Ariski Sapni Putra Bhakti Yudho Suprapto Destri Zumar Sastiani Husni, Nyayu Latifah Masayu Annisah Pola Risma Yurni Oktarina Zainuddin Nawawi