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Arief, Yanuar Z.
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Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Environmental Science

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Determination of better insulating oil for power transformer oil application using Analytical Hierarchy Process (AHP) Arief, Yanuar Z.; Abd Hamid, Nazirah; Izzwan Saad, Mohd Hafiez; Al Hakim, Rosyid R
Journal of Global Engineering Research and Science Vol. 1 No. 1 (2022): Journal of Global Engineering Research & Science
Publisher : Jakarta Global University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56904/jgers.v1i1.17

Abstract

The Analytical Hierarchy Process (AHP) which was developed by Saaty is a decision-making tool in the year of 1970s. The system is able to solve the complex analysis which could not be performed by the human brain. In this project, the AHP system is chosen to select a better insulating oil for power transformer oil application since the insulation is the most important part of a transformer. In this research method based on the AHP technique, there are six criteria are involved in the model, namely breakdown voltage, dissipation factor/tan delta, pour point, kinematic viscosity, density, and flash point. While, the given alternatives are palm oil, canola oil, palm fatty acid ester (PFAE) oil, corn oil, sunflower oil, and soybean oil, respectively. A spreadsheet software application (Microsoft Excel) was employed in this study. As the result, it is found that the PFAE oil is the best insulating oil that able to be used in a real power transformer oil application. All requirements as insulating oil for transformer oil of PFAE oil are met significantly.
IoT-based pesticide distribution control system with photometric sensor frameworkIoT-based pesticide distribution control system with photometric sensor framework Al Hakim, Rosyid R; Islami, Ichsani Nurul; Ropiudin; Pangestu, Agung; Jaenul, Ariep; Arief, Yanuar Z.; Hidayah, Hexa Apriliana
Journal of Global Engineering Research and Science Vol. 1 No. 2 (2022): Journal of Global Engineering Research & Science
Publisher : Jakarta Global University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56904/jgers.v1i2.23

Abstract

The use of pesticides is often given under extreme conditions. The excess use of these pesticides can harm both the farmers directly and the affected environment; this is the impact of the uncontrolled use of pesticides. There is a need for a control system to control the distribution of pesticides on agricultural land. This article seeks to provide a control system design for controlling the distribution of pesticides by utilizing photometric technology integrated with the internet of things (IoT). The control system is designed automatically with a sensing system or an operating record. It is expected to be able to disseminate the correct use of pesticides to achieve production efficiency. This study provides a design of an automatic control system for pesticide distribution IoT-based. We use a photometric sensor to control the pesticide distribution. Future work can be implemented for prototype work due to smart farming to control pesticide distribution automatically.
Co-Authors Abd Hamid, Nazirah Agung Pangestu Al Hakim, Rosyid R Ariep Jaenul atmam atmam, atmam David Setiawan, David Hamzah Eteruddin Hexa Apriliana Hidayah Islami, Ichsani Nurul Izzwan Saad, Mohd Hafiez Ropiudin .