Exploring the Self-Regulated Learning Skills of Physics Students in an Online Learning Environment

This research investigates the factors of students' self-regulated learning (SRL) skills in online learning environments from the demographic perspectives of gender and major. The study employs a survey design and involves 103 students selected through simple random sampling. Data collection uses the SOL-Q questionnaire and observation. The collected data is analyzed using descriptive statistics, t-tests, and one-way ANOVA. The research results indicate that among the five components of SRL, the environmental structure obtained a high score, meaning that environmental structure contributes significantly to SRL in online learning for physics and non-physics majors. Meanwhile, time management received a low score, indicating that time management contributes less to SRL. There is no significant difference in each component of SRL based on gender and major. Furthermore, there is no significant effect of gender and major on the level of SR

A NEW MODEL FOR HYDROPONIC LETTUCE NUTRITION ADAPTIVE CONTROL SYSTEM BASED ON FUZZY LOGIC SUGENO METHOD USING ESP32

In the last few years, the terms Smart Agriculture, Smart Farming, Urban Farming, or Precision Farming have been increasingly recognized and growing rapidly. Hydroponics is one part that is currently a trend, both in industrial or household scale businesses and hobbies. One of the most important things to consider in maintaining the quality of hydroponic plant growth is the concentration of nutrients in the water. A series of studies have been conducted to improve the quality of hydroponic plants. However, the developments that have been carried out have not focused on optimal nutritional control. The previous hydroponic plant nutrition control system still used conventional methods, namely the use of a rule base with firm values ​​, and did not consider the quantity and quality of water. Therefore, this study proposes a new model for an adaptive control system for hydroponic lettuce nutrition based on the Fuzzy Logic Sugeno method using ESP32. The fuzzy logic Sugeno method is used to create a new model of the inference system for determining the amount of nutrient dosage based on supporting data obtained from sensors installed on hydroponic growing media. Compared with the conventional method, the resulting test results show that the proposed method can adapt the amount of added nutrients, provide optimal nutrient addition output, and prevent excess nutrient additions that can potentially accumulate toxic ions in water that degrade water quality

SHORT-TERM USEFULNESS, BEHAVIORAL INTENTION, DAN USE BEHAVIOR MOBILE LEARNING SISWA SMK DI KOTA MAKASSAR

This study aims to identify factors that affect the use of mobile learning vocational of students in Makassar. Type of quantitative research studies nonexperimental kind of ex-post facto. These samples included 450 students of three SMK Negeri three in Makassar selected by stratified random sampling. The technique of collecting data using questionnaires and interviews. Data analysis using Structural Equation Modeling (SEM). The results showed that short-term usefulness contribute directly to the behavioral intention of 0.64 (64%) and contributed indirectly through behavioral intention to use mobile learning behavior of 0.42 (42%), while the behavioral intention to contribute directly to use mobile learning behavior of 0.66 (66%). Thus, short-term usefulness and behavioral intention to influence the level of use of mobile learning by vocational students either directly or indirectly

IS Success Model for EDMODO E-learning User Satisfaction through TAM on Students

This study aimed to analyze the effect of IS Success Model variable on Edmodo's e-learning user satisfaction partially, both directly and indirectly through the TAM variable. This research was conducted through an ex-post-facto approach to undergraduate students. Data collection instruments used questionnaire and observation. The questionnaire was developed from the technology acceptance model (TAM) and information system (IS) success model. The collected data were analyzed through descriptive statistics and path analysis using IBM SPSS 20 program. The results showed that the three core variables of the IS Success model directly had a significant effect on the two core variables of TAM, and the two core variables of TAM directly affected user satisfaction. Indirectly, the three core variables of IS Success model had a significant effect on user satisfaction through the two core variables of TAM. Service Quality, also, to provide a more significant direct effect on perceived usefulness, also indirectly influenced user satisfaction through perceived usefulness. Perceived ease of use had more significant direct and indirect effects through perceived usefulness on Edmodo e-learning user satisfaction.