PERBEDAAN METODE PENELITIAN DENGAN METODE PENGEMBANGAN SISTEM | ROMI SATRIA WAHONO

Summary

This video script discusses research methodologies for improving business operations using software solutions. The focus is on applying algorithms like k-means clustering to optimize processes such as scheduling or decision-making, rather than developing the software itself. It outlines the steps of data collection, experimentation, and evaluation to measure improvements in efficiency, such as faster service or increased sales. The key takeaway is that the value of the research lies in its ability to demonstrate operational improvements through data-driven methods, while software development serves as a tool to implement these solutions.

Takeaways

• 😀 Building software is not the research itself, but a tool to achieve research goals by analyzing its impact and effects.
• 😀 The research focuses on solving real-world problems, such as improving scheduling and efficiency in business operations (e.g., PT Branded Cipta Informatika's training schedule).
• 😀 The Waterfall methodology is a suitable choice for projects with clear, upfront goals and structured development phases, making it ideal for certain types of research.
• 😀 In research involving software, it is important to focus on the research question and its results, rather than just the development process itself.
• 😀 Effective software research should measure improvements, such as how it enhances efficiency, speed, or service levels in practical applications (e.g., hospital emergency room processes).
• 😀 Algorithms like K-Means clustering can be used in research to group products or services based on certain characteristics (e.g., sales performance) to optimize scheduling or other business processes.
• 😀 Research methodology should include data collection, experiment design, and evaluation steps, and not just the development of the software itself.
• 😀 Software development, when used as part of a research project, should be seen as a way to implement and test hypotheses, not the primary research focus.
• 😀 Research findings should be presented with clear evidence of the software's impact, such as increased sales or improved operational efficiency, rather than just stating that software was built.
• 😀 In methodology, students should understand that research is about proving hypotheses with real data and real-world impact, rather than simply creating software without clear objectives.

Q & A

What is the main focus of the research methodology discussed in the transcript?

The main focus is on applying algorithms and systems to solve real-world problems, such as improving scheduling efficiency, automating proposal generation, and enhancing service-level agreements (SLA) in various environments, particularly in business and healthcare.

Why does the speaker emphasize that building software itself is not the main part of the research?

The speaker highlights that the research is centered on evaluating the effectiveness of software solutions in improving processes, not on the development of the software itself. The aim is to study how the system impacts operational efficiency, such as through the use of algorithms or automation.

What are the key examples used in the transcript to illustrate the application of the research?

Key examples include improving the scheduling of training courses, automating customer proposal generation, and enhancing SLA in emergency departments of hospitals through decision-making systems.

What methodology is recommended for use in the research process and why?

The Waterfall model is recommended due to its structured and clear planning process, which is essential for the predictable and systematic development of software. The speaker stresses that for research, particularly involving systems with well-defined outcomes, Waterfall is the most suitable methodology.

What are the benefits of using clustering algorithms (e.g., K-means) in the research?

Clustering algorithms like K-means are used to group products or data based on specific characteristics, such as sales performance. This allows for better decision-making, such as scheduling training based on demand or optimizing resource allocation.

How does the research address the issue of automating proposal generation?

The research discusses creating a system to automate the creation of proposals, where a user can click to generate a proposal, which would then be automatically filled with relevant data, reducing the time spent on manual proposal preparation.

How does the speaker define 'research' in the context of the script?

The speaker defines research as evaluating and improving existing systems or processes through data analysis, simulations, or algorithmic applications, rather than focusing on the creation of the software itself.

What is the significance of evaluating the impact of software, such as in the example of improving SLA in hospitals?

The significance lies in measuring how the software can enhance operational efficiency, such as improving the speed and accuracy of decision-making in hospital emergency rooms. This can lead to better patient care and optimized resource management.

What role does system simulation play in the research methodology?

System simulation is used to test the proposed software solutions under controlled conditions to measure their impact. For instance, simulating the impact of an automated decision-making system in an emergency room helps assess its effectiveness in improving response times and overall service quality.

How does the speaker suggest validating the research findings?

The speaker suggests validating the research findings by applying the system or algorithm in real-world scenarios and comparing the results with existing benchmarks. This could involve measuring improvements in scheduling efficiency, proposal generation speed, or SLA in a hospital emergency department.