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Al Hakim, Rosyid R
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Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Environmental Science

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An Expert System Dataset for Checking the Potential for Administering a Covid-19 Vaccine in Indonesia: Forward-Chaining Inference Machine Approach Al Hakim, Rosyid R; Setyowisnu, Glagah E; Pangestu, Agung
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.v1i1.7

Abstract

Covid-19 has now spread extremely worldwide. World still fighting against Covid-19, as well as vaccination programs. The problem to get one of the existing vaccines, it is required first to carry out a vaccination eligibility screening test, then usually carried out with traditional form method by the healthcare staff. Seeing the development of an expert system that can be used as an alternative for health workers to help reduce the number of Covid-19 suppression so that it does not spread to health workers, because after all, someone who will vaccinate Covid-19 must be in good health, this is related to the pre-vaccination procedure. We proposed the expert system with forward-chaining method. The result is the dataset (rules collection) of an expert system based on a forward-chaining inference machine for administering all Covid-19 vaccines.
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 Arief, Yanuar Z. Ariep Jaenul Hexa Apriliana Hidayah Islami, Ichsani Nurul Izzwan Saad, Mohd Hafiez Ropiudin . Setyowisnu, Glagah E