Pertemuan 13 - Variabel Bebas & Variabel Terikat

Summary

This video lecture provides an overview of quantitative research methodology in computer science. It covers key processes such as problem formulation, hypothesis development, data collection, and analysis. The focus is on understanding various research variables, including independent, dependent, and control variables, and their relationships. The importance of using valid instruments and conducting pilot tests is emphasized. The lecture also highlights the significance of selecting relevant variables for accurate results and includes a task for students to summarize the material in a resume. The session is designed for students working on system analysis and computer science research projects.

Takeaways

• 😀 Quantitative research in computer science focuses on calculations, analysis, and system development, with less emphasis on social sciences.
• 😀 The research process begins by defining the problem, reviewing relevant theories, and formulating hypotheses.
• 😀 Hypotheses serve as initial assumptions about the problem and are tested through data collection and analysis.
• 😀 Data collection requires determining the total population, selecting a sample, and using random sampling techniques.
• 😀 Instruments used for data collection must be validated through pilot tests before being applied to the full sample.
• 😀 Valid and relevant variables are crucial for ensuring the accuracy of the research results.
• 😀 Variables in research can be independent (affecting others) or dependent (affected by other variables).
• 😀 Other types of variables include control variables (which account for other factors) and moderator variables (which influence the strength of relationships).
• 😀 It’s important to understand the relationships between variables, such as how independent variables affect dependent variables.
• 😀 In complex research, multiple independent variables can influence multiple dependent variables, and understanding these relationships is key to accurate analysis.
• 😀 Research challenges include finding the right problem and gathering the necessary data, which often consumes most of the research time.
• 😀 Understanding variables and their relationships is essential for conducting successful data analysis and defending research findings.
• 😀 The lecture concludes with a reminder for students to submit a summary of the material covered as part of their assignment.

Q & A

What is the primary focus of the research discussed in the video?

The research primarily focuses on quantitative research in the field of computer science, which involves calculations, analysis, and system development.

What are the initial steps in conducting quantitative research, as described in the video?

The initial steps include problem formulation, reviewing relevant theories, forming hypotheses, collecting data, and validating the instruments used for testing.

How is data collected for quantitative research, and what is the role of sample selection?

Data is collected by determining the total population, then selecting a percentage of the population randomly as a sample for analysis. The sample size should represent the overall population.

What is the purpose of a pilot test in quantitative research?

A pilot test is used to validate the instruments or tools used for data collection. If the instruments are valid, they can be applied to the entire sample for data collection.

How are variables chosen and validated in quantitative research?

Variables are selected based on their relevance to the research, and they are validated using threshold values. If a variable’s value falls below the threshold, it is considered invalid and removed.

What is the importance of using relevant variables in research?

Using relevant variables ensures that the research results are valid and accurate. Irrelevant variables can skew the results, causing the analysis to fail to meet the hypotheses.

What are the common types of variables discussed in the video?

The video discusses independent variables, dependent variables, control variables, and moderator variables. Independent variables affect dependent variables, while control and moderator variables influence the relationship between other variables.

Can you explain the difference between independent and dependent variables?

Independent variables are those that are manipulated or chosen by the researcher and are not influenced by other variables. Dependent variables are outcomes that depend on the independent variables.

What is the concept of correlation between variables, and how does it work in the research discussed?

Correlation refers to the relationship between variables, which can be simple or multiple. A simple correlation involves one independent variable and one dependent variable, while a multiple correlation involves several independent variables affecting one dependent variable.

What are the challenges faced during the research process, and how can they be addressed?

One of the biggest challenges is identifying and defining the research problem. The video emphasizes that data collection and analysis often take the most time, but careful planning and execution can help address these challenges.