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All Journal Journal Of Artificial Intelligence And Software Engineering JITAA : Journal Of International Taxation, Accounting And Auditing
Akbar, Reza Maulana
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Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Social Sciences

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PENERAPAN MATEMATIKA DALAM ILMU EKONOMI FUNGSI PERMINTAAN DAN PENAWARAN Hoirunnisa, Adinda; Mappi, Dinda Refani; Firmansyah, Muhammad Rafi; Innalexsyah, Nakeisha Annora; Mazidah, Nurul; Akbar, Reza Maulana
JITAA : Journal Of International Taxation, Accounting And Auditing Vol 3 No 2 (2024): JITAA : Journal Of International Taxation, Accounting And Auditing
Publisher : Pusat Studi Ekonomi Publikasi Ilmiah dan Pengembangan SDM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62668/jitaa.v3i2.1344

Abstract

Economic mathematics is an approach or method of solving economic problems using mathematical symbols and mathematical logic. Economists also often use mathematics in solving economic problems, one of which is function material. Therefore, this study aims to examine the application of mathematics in economics: demand and supply functions as support and reference in learning activities. The method used in the research uses the literature study method. The results showed that the main factors that affect demand include the price of goods, consumer income, prices of other goods, expectations of future prices, consumer tastes, and advertising spending. The law of demand states that if the price of goods rises, demand tends to fall, and vice versa. Supply refers to the relationship between the price of a good and the quantity of the good that producers offer. The main factors that affect supply include the price of the product, the level of technology, the price of production factors, the price of other related goods, and the producer's expectations of future prices.
Internet of Things-Based Automation System for Watering Cayenne Pepper Plants Akbar, Reza Maulana; Maulindar, Joni; Muhammad, Nibras Faiq
Journal of Artificial Intelligence and Software Engineering Vol 5, No 3 (2025): September
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jaise.v5i3.7359

Abstract

This study aims to build an Internet of Things (IoT)-based automatic watering system intended for cayenne pepper farmers in rural areas. The system is designed to irrigate plants automatically based on environmental parameters obtained in real-time. The hardware components consist of an ESP32 microcontroller, a DHT22 temperature and humidity sensor, a soil moisture sensor, a relay module, and a DC water pump. Sensor data are processed by the ESP32 and transmitted to a Supabase database using the HTTP protocol, then visualized through a local web-based interface. Testing results show that the system functions automatically and responsively when the soil moisture value falls below the predetermined threshold. The monitoring interface displays real-time temperature, soil moisture, and a history of recent watering activities. This system is considered effective in reducing labor and optimizing water usage, while also providing a digital solution that aligns with small-scale precision agriculture practices. Based on the results, the system is deemed feasible for implementation and further development.
Co-Authors Firmansyah, Muhammad Rafi Hoirunnisa, Adinda Innalexsyah, Nakeisha Annora Mappi, Dinda Refani Maulindar, Joni Mazidah, Nurul Nibras Faiq Muhammad