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Weather Monitoring and Classification Tools Using Fuzzy Logic Method Based on Internet of Things for Agriculture Avindra , Muhammad Alfazri; Taqwa , Ahmad; Suroso , Suroso
Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol. 14 No. 1 (2025): JANUARY
Publisher : ISB Atma Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32736/sisfokom.v14i1.2330

Abstract

Agriculture is a crucial sector that faces significant challenges due to climate change, such as altered rainfall patterns, increased temperatures, and extreme weather, which threaten productivity. This research aims to design and develop a weather monitoring and classification tool utilizing the Fuzzy Logic method based on the Internet of Things (IoT). The system integrates sensors for temperature, humidity, air pressure, wind speed, and rainfall, processing the data through Fuzzy Logic to classify weather into sunny, cloudy, light rain, moderate rain, and heavy rain. The results are accessible in real-time via an LCD screen and the Blynk application. Achieving 100% accuracy in monitored conditions, the system operates continuously for 24 hours, powered by solar energy. Unlike traditional systems, this tool provides innovative solutions to weather-related agricultural challenges, enabling farmers to make informed decisions and mitigate losses due to extreme weather. This research contributes to advancing IoT applications in precision agriculture, providing a reliable, sustainable, and scalable solution to weather monitoring.
FAKTOR-FAKTOR YANG BERHUBUNGAN DENGAN STRES KERJA PADA GURU DI SEKOLAH DASAR KECAMATAN TELANAI PURA Suhaila , Suhaila; Ahmad Husaini; Suroso , Suroso
Jurnal Cakrawala Ilmiah Vol. 5 No. 1 (2025): September 2025
Publisher : Bajang Institute

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Abstract

Work stress is a dynamic condition in which individuals face demands, opportunities, or resource constraints related to personal goals, where the outcome is uncertain but important. In Indonesia, work stress remains a occupational health issue, although comprehensive national data on the prevalence of work stress is not yet available. This study aims to identify factors associated with work stress among elementary school teachers in Telanaipura District. This study uses an analytical survey design with a cross-sectional approach, in which independent and dependent variables are measured simultaneously. Analysis was conducted to identify the relationship between workload, work environment, and other factors with the incidence of work stress among elementary school teachers. The results showed that 40 teachers (50%) experienced severe work stress, 74 teachers (87.1%) had a heavy workload, and 80 teachers (95.3%) worked in an unsupportive environment. Bivariate analysis found a relationship between workload (p=0.026) and environmental conditions (p=0.026) and the level of work stress among elementary school teachers. The Education Office is expected to conduct regular monitoring of teachers who are at risk of experiencing work stress due to workload or work environment, and to immediately intervene so that it does not affect their performance. In addition, positive programs are needed to improve the welfare of elementary school teachers