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Implementation of an Iot System in The Teaching Factory: Optimization of The Salted Fish Drying Process Fitrinaldi, Fitrinaldi
Syntax Literate Jurnal Ilmiah Indonesia
Publisher : Syntax Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36418/syntax-literate.v9i11.51705

Abstract

Drying is a preservation method commonly used in the food industry to extend the shelf life of food by reducing the water content to a safe level. However, traditional drying methods, such as sun drying, are highly dependent on weather conditions and often produce inconsistent product quality. This research aims to optimize the salted fish drying process through the application of the Internet of Things (IoT) in the Teaching Factory environment, with a focus on monitoring and controlling temperature and humidity in real-time. The test results show that the temperature on sensor 1 reached 43.8°C, sensor 2 was 41.1°C, and sensor 3 was 49.6°C, with average humidity ranging from 35.6% to 57.8%. Drying time varies between 8-12 hours, depending on the type of biota being dried. These tests revealed that water vapor could be removed efficiently without being trapped, ensuring optimal drying. In addition, the application of IoT in the Teaching Factory provides educational value for students with relevant industry skills. This innovation offers a solution to traditional drying challenges, such as variations in product quality and the risk of microbial contamination. Therefore, the integration of IoT in the salted fish drying process has the potential to improve production standards and competitiveness in the global market.
Pengaruh Pembelajaran Klasikal terhadap Asesmen Kognitif dengan Motivasi sebagai Variabel Moderasi pada Pembelajaran Mesin CNC SMK Negeri 3 Tanjungpinang. Fitrinaldi, Fitrinaldi; Encik Abdulhajar; Samsul Hadi; Desi Rahmatina; Nur Izzati; Leni Aria
Jurnal Archipelago Vol 4 No 01 (2025): Jurnal Archipelago
Publisher : Badan Perencanaan, Penelitian dan Pengembangan Pemerintah Provinsi Kepulauan Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69853/ja.v4i01.148

Abstract

Abstrack : This study analyzes the effectiveness of classical learning methods on students' cognitive assessments, considering the role of motivation as a moderating variable. This study uses a quantitative experimental design on students from SMK Negeri 3 Tanjungpinang. The research results indicate that classical learning has an insignificant negative impact on students' cognitive assessment. Student motivation shows a significant impact, both directly and through interaction with cognitive assessment, substantially improving learning outcomes. An R Square value of 97.9% indicates that the variation in cognitive assessment is predominantly explained by the motivation variable and its interactions. These findings underscore the importance of designing learning experiences that consider motivational factors to enhance student engagement and performance. A contextual approach based on technology and adaptive strategies is recommended to address the limitations of classical methods in improving cognitive outcomes. Keywords: Classical learning, student motivation, cognitive assessment, vocational education, adaptive strategies.