CATHA SAINTIFICA

Peci Oren, “Peer Coaching for Teen”: A Strategy to Reduce Gaming Disorder in Adolescents

2025-05-15T10:42:30+07:00

Problem Statement The rapid development of information and communication technology has a significant impact on adolescent behavior, one of which is online game addiction. Online games, which have become one of the favorite entertainments for teenagers, have led to the emergence of the phenomenon known as gaming disorder, which is characterized by an uncontrollable pattern of gaming behavior. Objective This study aims to analyze the risk factors of gaming disorder in adolescents, as well as to explore its management efforts through the PECI OREN (Peer Coaching For Teens) method. Method The research was conducted using a descriptive-analytic design, involving 86 high school students at risk of experiencing gaming disorder. The instrument used to measure gaming disorder symptoms is the Internet Gaming Disorder Scale–Short-Form (IGDS9-SF). Finding The research results show that 11.6% of respondents are at risk of experiencing gaming disorder, with the highest score found in the symptom of "escape motivation," which indicates the use of games to cope with negative feelings. Conclusion Effective management of gaming disorder can be carried out through various efforts, including education, parental monitoring, and the implementation of the PECI OREN method, which involves the role of peers in providing social support.

Expert System for Diagnosing Red Bean Plant Disease using Naïve Bayes Method

2025-06-09T15:41:05+07:00

Innovation in the development of various kinds of technology in various fields and fast sources of information, the use of these developments is used to overcome various challenges that arise, including in the field of agriculture. The main factor of problems that are often faced by farmers is in identifying diseases such as in plants including kidney bean plants, the main cause of the problem is the lack of knowledge about the disease, the absence of an expert in the field, and there is no expert system for diagnosing kidney bean plant diseases. The naïve bayes method is a method of calculation to determine a possibility, The implementation of the naïve bayes method in this expert system is carried out to determine the diagnosis of kidney bean disease based on kidney bean information, such as symptom data and emerging disease data. Determining the diagnosis of a disease from the calculation of the naïve Bayes method is based on the highest probability of disease diagnosis. Building an expert system for diagnosing diseases of red beans based on websites is used to assist farmers in diagnosing diseases and finding solutions based on the symptoms that arise. The results of this expert system test, taken from the system test on experts, obtained an accuracy score of 90%. This research produces efficient and easily accessible digital tools, which play a role in supporting food security and increasing farmers' productivity through a faster and more accurate disease diagnosis process.

EXPERIMENTAL STUDY OF THE EFFECT OF FLUID MASS FLOW ON CAVITATION OF THE EBARA 65x50 FSS4JA TYPE CENTRIFUGAL PUMP IN A TCU CASTING MACHINE

2025-06-12T14:24:32+07:00

Pumps are often found and needed in everyday life, both in households and industry. Cavitation is often a major problem in centrifugal pumps because it affects their performance and performance. Experimental studies on the effect of fluid mass flow rate on cavitation in centrifugal pumps were investigated and characterized. The Ebara Brand centrifugal pump type 65x50 FSS4JA installed in the Casting Machine TCU installation was used as the object of research. In the experimental study, the number of constant impeller blades of 6 pcs and a blade tilt angle of 60º was studied for variations in fluid mass flow rate determined with values of 1.67 kg/s, 3.33 kg/s, 5.67 kg/s, and 7.33 kg/s. The results of the research show that the fluid mass flow rate has a cavitation value of 0.2 for variations in the fluid mass flow rate of 1.67 kg/s, 0.65 for variations in the fluid mass flow rate of 3.33 kg/s, 1.9 for variations in the flow rate fluid mass 5.67 kg/s, and 1.88 with variations in fluid mass flow rate of 7.33 kg/s. These results confirm that the higher the variation in fluid mass flow rate, the higher the cavitation level, but strangely when the variation is increased from 5.67 kg/s to 7.33 kg/s the cavitation value slowly decreases, this confirms that the variation in fluid mass flow rate 7.33 kg/s is the optimal fluid mass flow rate variation and allows it to be applied in the field.

Blended Learning Model using Kahoot Application on Students' Learning Outcomes

2025-06-19T09:20:14+07:00

This research aims to determine the effect of abstract the Kahoot-assisted blended learning model on student learning outcomes in class X global warming material at SMK Qurrota A'yun NWDI Joben for the 2024/2025 academic year. This type of research uses a quantitative approach, preexperimental research methods with a one-group pretest-posttest design. The population in this study was one class, namely class x with a total of 26 students. The sample in this study was all students in one class. One class was given pretest as control values class, then given treatment and then given posttest as experimental values class. The results of data analysis show that the average score of student learning outcomes on the pretest is 54.23 and the average score of learning outcomes on the posttest value is 86.04. The data analysis technique uses the t test with the results of data analysis obtaining a t count of 16.61 and a t table value of 2.01 with a significance level of 5% and dk = 50. These results show that tcount > ttable (16.61 > 2.01) which means that Ho is rejected and Ha is accepted. It can be said that there is an influence of the Kahoot-assisted blended learning model on student learning outcomes for class x global warming material at SMK Qurrota A'yun NWDI Joben

Gender-Neutral Outcomes in IoT-Based Physics Education: A Non-Parametric Analysis of Hands-On IoT Tasks and Cognitive Achievement

2025-06-19T11:06:27+07:00

This study aims to test the difference in practicum performance and cognitive ability between male and female students in making an IoT-based physics learning media project in the Physics Learning Media course. The research method used was descriptive-quantitative with a sample of 43 students (37 females, 6 males) of the class of 2022 at the Department of Physics Education, Sultan Ageng Tirtayasa University. The data collection instrument used a Hands-on Task (4 IoT practicum tasks) and a cognitive test in the form of an essay. Then the data were analyzed descriptively and inferentially (Mann-Whitney U Test). The results showed that there was no significant difference between genders in all practicum assignments (p = 0.320–0.981) or cognitive tests (p = 0.724). The average male scores were slightly higher on tasks 3–4 (83.33–89.17) and cognitive tests (3.68), but not statistically significant. These findings prove that IoT-based learning has the potential to create equality of technical and conceptual competencies, regardless of gender. Implicitly, the experiential learning approach with IoT projects needs to be optimized to encourage the active participation of all genders in STEM. The limitations of the study include sample imbalances and the scope of assessment that is not yet holistic

Reducer-Based Tobacco Dryer

2025-07-03T16:30:14+07:00

This research aims to develop a reducer-based tobacco dryer that is integrated in the educational physics laboratory. This tool is designed to overcome the problem of tobacco crop quality which is often affected by unstable weather, especially in the drying process. In this study, the development method using the 4D model (Define, Design, Develop, Disseminate) was applied to ensure that the tools produced meet the needs of tobacco farmers and can be used as a learning medium in physics laboratories. The results of the tests showed that the reducer-based tobacco dryer was able to improve the efficiency of the drying process and produce better tobacco quality compared to traditional methods. In addition, this tool also provides an opportunity for students to understand physics concepts related to heat and energy transfer, as well as the application of technology in agriculture.
Thus, this research not only provides practical solutions for tobacco farmers, but also contributes to improving the quality of physics learning in schools. It is hoped that the results of this research can be a reference for the development of other educational tools and encourage innovation in the use of technology to support the agricultural sector