Article Per Year (5 Year)
p-Index From 2021 - 2026
1.235
P-Index
This Author published in this journals
All Journal Journal of Applied Science, Technology & Humanities Agrifarm: Jurnal Ilmu Pertanian
Dwi Yulinar Chairunisa
IPB University
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Social Sciences

Published : 6 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 6 Documents
Search

 1 
Implementing Fuzzy Logic to Forecast Electricity Usage Costs Ade Riyanti; Arda Dwiyana; Danar Restu Firdaus; Danke Hidayat; Fajri Haykal Rahman; Muhammad Rafi Ari Ghani; Agung Prayudha Hidayat; Dwi Yulinar Chairunisa
Journal of Applied Science, Technology & Humanities | JASTH Vol. 2 No. 2 (2025): March 2025
Publisher : Batrisya Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62535/r6ygb628

Abstract

Electricity has a very vital role in human life, being a form of energy that is inseparable from various aspects of daily activities. The greater the use of electricity will have an impact on increasing the cost of electricity use. By applying fuzzy logic methods, research focuses on understanding the efficiency of electrical power use, identifying key factors that affect efficiency at the household level. This study aims to apply the Mamdani method in fuzzy logic to predict the cost of electricity consumption and measure the level of accuracy of the implementation of fuzzy logic. The variables used as the basis of the study involved house size, electronic equipment, electrical power, economic income, and electricity usage cost. The implementation of this research will use Matlab software because it provides various tools for the Mamdani method. The results of the implementation of fuzzy logic with the Mamdani method for the example case analyzed in obtaining electricity usage cost that needs to be paid is Rp. 455,500. Thus, these results indicate that the Mamdani method in fuzzy logic is effectively used to predict electricity usage cost in Leuwimekar Village, Bogor City. 
Application of Fuzzy Logic to Motorcycle Oil Change Cycle with 10W 30 Oil Viscosity Zata Ismah Sumayyah; Brian Mariano Rahmanto; Muhammad Caesar Hidayat; Nur Ilham Febriansyah; Veto Adi Pertama; Dwi Yulinar Chairunisa; Agung Prayudha Hidayat
Journal of Applied Science, Technology & Humanities | JASTH Vol. 2 No. 1 (2025): January 2025
Publisher : Batrisya Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62535/ypjkqg79

Abstract

Oil is a fluid that serves to lubricate the engine, so that friction between engine components is relatively small. Oil changes are based on mileage, oil volume, and oil viscosity levels which usually vary depending on the needs of the vehicle's engine. Most riders are often late and do not even know the routine time of oil changes so that the user's motorcycle engine feels damaged. The application of fuzzy logic has become an important approach in modeling the complex and ambiguous system of motorcycle oil change periods with 10W 30 oil viscosity. The purpose of this study is to determine the application of fuzzy logic in determining the optimal oil. exchange interval. Oil is based on factors such as mileage, oil volume, and oil viscosity when viewed from motorcycle use. To represent these variables using fuzzy sets, a fuzzy logic control system was developed that takes into account oil wear and motorcycle operating conditions which was implemented using the mamdani method and calculated using matlab software. The results showed that oil change intervals tailored to operating conditions and the environment can improve engine performance, reduce maintenance costs and extend component life.
Automatic Watering System on Microcontroller-Based Tomato Plants With The Fuzzy Logic Approach Muhammad Arif Bagus Dewanto; Muhammad Rizky Alfazry; Wanda Haniyah; Fikri Fadilah; Muhammad Fakhri Firdaus; Akhtarsyah Pambudi Putra; Dwi Yulinar Chairunisa; Agung Prayudha Hidayat
Journal of Applied Science, Technology & Humanities | JASTH Vol. 2 No. 1 (2025): January 2025
Publisher : Batrisya Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62535/89fr2w25

Abstract

One of the main challenges in crop cultivation is addressing irrigation issues, which are often carried out conventionally. This research aims to tackle this problem by implementing fuzzy logic in the development of an automatic irrigation system for tomato plants based on a microcontroller. The system is designed to create an intelligent irrigation solution capable of adjusting water supply according to environmental conditions and the needs of tomato plants. The research methodology includes system design, environmental data collection, and implementation of fuzzy logic algorithms for decision-making. The research findings demonstrate the effectiveness of the fuzzy logic-based approach in optimizing irrigation schedules, resulting in improved plant health and water conservation. Thus, the conclusion emphasizes the potential of fuzzy logic in enhancing precision farming practices and underscores the importance of adaptive irrigation systems in supporting sustainable crop production.
Fuzzy Inference System to Improve Catfish Care in Bioflok Pools Based on Temperature and Water Quality Analiah Fahlevy Yusuf; Zidan Febrian; Muhammad Fathurrahman; Rajwa Daffa Adyatama Yuristiawan; Steven Jona Duari Huta Balian; Dwi Yulinar Chairunisa; Agung Prayudha Hidayat
Journal of Applied Science, Technology & Humanities | JASTH Vol. 2 No. 1 (2025): January 2025
Publisher : Batrisya Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62535/c6c50w10

Abstract

The study explores the application of the Fuzzy Inference System (FIS) to improve the maintenance of clay (Clarias gariepinus) in Biofloc ponds, focusing on critical factors such as temperature and water quality. In the context of the efficiency of the biofloc system in water quality management, the study addresses the challenges posed by dynamic environmental conditions. Through a comprehensive gap analysis, the study identifies disparities between current research and the need for a specialized approach that integrates FIS for adaptive decision-making. The urgency stems from the limited coverage of previous research in addressing temperature dynamics and water quality. This research places itself in the research landscape by supporting and refining previous findings and introducing new FIS applications. The integration of Fuzzy Logic into bio floc management decision-making is new in this study. This research, supported by the latest literature from leading journals, emphasizes the significance and originality of its approach, contributing to sustainable and adaptive aquaculture practices.
The Quality Otomation System and monitoring of Bok Choy (Brassica chinensis L.) in Hydroponic Greenhouses based on Fuzzy Logic using Arduino Uno: sistem Otomasi dan Monitoring Kualitas Pakcoy (Brassica chinensis L.) pada Greenhouse Hidroponik berbasis Fuzzy Logic menggunakan Arduino Uno Radita Febrianti; Ridwan Siskandar; Dwi Yulinar Chairunisa
Agrifarm : Jurnal Ilmu Pertanian Vol 12 No 1 (2023): Agrifarm
Publisher : Universitas Widya Gama Mahakam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24903/ajip.v12i1.2221

Abstract

Hydroponic greenhouses is a form of maintenance optimal plants with minimal water use. However, growing plants in this environment requires careful monitoring and control of various parameters such as pH and nutrient availability. In this study we used NFT Hydroponics (Nutrient Film Technique) a soilless plant cultivation technique that uses nutrient solutions flowing in shallow channels under plant roots. This method allows efficient and optimal plant growth with less use of water and nutrients compared to conventional cultivation. The pakcoy quality monitoring system in this hydroponic greenhouse is made using an Arduino Uno microcontroller equipped with a dfrobot pH sensor and a dfrobot tds sensor to monitor the quality of the bok choy plants automatically. We get the data by the tool will be processed using fuzzy logic to control the pH quality of the water and the nutrients of the bok choy plants to maximize the efficiency and production of the bok choy plants. The results showed that using this technology can monitor and control the water quality and environment for bok choy growth efficiently and accurately.
A Practical Implementation Fire Monitoring Systems Using Fuzzy Methods Dea Ummul Khabibah; Kenzi Dewandaru; Muhammad Tsabit; Silva Dimas Surya Permana; Yana Nurrohman; Agung Prayudha Hidayat; Dwi Yulinar Chairunisa
Journal of Applied Science, Technology & Humanities | JASTH Vol. 1 No. 5 (2024): November 2024
Publisher : Batrisya Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62535/vm2cxa03

Abstract

Fires are serious disasters that require effective monitoring or control systems to identify risks and respond quickly. In this study, observations were made on the A Practical Implementation Fire Monitoring Systems Using Fuzzy Methods using temperature input from DHT22 sensors, smoke from MQ-2 sensors, and fire history as evaluation variables. The system will classify the temperature as "low", "medium", or "high", smoke as "low", "medium", "concentrated", as well as the history of fires categorized as "low", "medium", "high". The input will be processed using fuzzy logic to generate recommended actions, the actions are classified into "evacuate", "stay away from the area", or "wait for instructions". The implementation of the monitoring system uses the Arduino UNO platform as its base, then the DHT22 temperature sensor, and the MQ-2 smoke sensor to detect fire conditions. Then the test results from the monitoring system will provide recommendations related to more accurate and responsive actions based on actual conditions at the fire site.
Co-Authors Ade Riyanti Agung Prayudha Hidayat Akhtarsyah Pambudi Putra Analiah Fahlevy Yusuf Arda Dwiyana Brian Mariano Rahmanto Danar Restu Firdaus Danke Hidayat Dea Ummul Khabibah Fajri Haykal Rahman Fikri Fadilah Kenzi Dewandaru Muhammad Arif Bagus Dewanto Muhammad Caesar Hidayat Muhammad Fakhri Firdaus Muhammad Fathurrahman Muhammad Rafi Ari Ghani Muhammad Rizky Alfazry Muhammad Tsabit Nur Ilham Febriansyah Radita Febrianti Rajwa Daffa Adyatama Yuristiawan Ridwan Siskandar Silva Dimas Surya Permana Steven Jona Duari Huta Balian Veto Adi Pertama Wanda Haniyah Yana Nurrohman Zata Ismah Sumayyah Zidan Febrian