This article aims to understand the design of qualitative research methods. The method used is library research, which involves data collection by searching for sources and reconstructing information from various sources such as books, journals, and existing research. Qualitative research is conducted with a research design where findings are not obtained through statistical procedures or calculations, but rather aim to reveal phenomena in a holistic and contextual manner by collecting data from natural settings and utilizing the researcher as a key instrument. Qualitative research has a descriptive nature and tends to use an inductive approach for analysis, emphasizing the process and meaning based on the subject's perspective. This qualitative research design can be used as a method in research because it is described in a comprehensive manner that is easy to understand by researchers and academics. Qualitative research is a process of studying human or social phenomena to create a comprehensive and complex picture that can be presented in words, reporting detailed views obtained from informants, and conducted in natural settings. It involves exploring the meaning behind phenomena through in-depth interviews and participatory observation. Qualitative research is based on post-positivism, as it is useful for studying natural objects, with the researcher acting as a key instrument, purposive and snowball sampling, triangulation techniques, inductive data analysis, and a focus on meaning rather than generalization. Qualitative research differs from quantitative research in that it does not use statistics but rather data collection, analysis, and interpretation. It is often associated with social and human issues, being interdisciplinary, focusing on multiple methods, naturalistic, and interpretative. Qualitative research focuses on understanding social issues based on realistic or natural settings that are holistic, complex, and detailed. The article discusses the characteristics of qualitative research, including naturalistic inquiry, the researcher as a key instrument, descriptive nature, focus on process rather than outcome, inductive data analysis, and emphasis on meaning. Qualitative research methods include phenomenology, ethnography, hermeneutics, grounded theory, narrative/historical, and case study approaches. The article also outlines the stages of qualitative research, including problem identification, literature review, research objectives, data collection, data analysis and interpretation, and reporting. Data collection in qualitative research requires careful attention, as the quality of research depends on the quality and completeness of the data obtained. Data collection often involves triangulation through interviews, participant observation, and document analysis. The article also discusses the analysis of qualitative data, including data reduction, data display, and conclusions. Data analysis is closely linked to data collection and archival sources, and must be conducted as soon as possible to determine the next data collection. The article highlights the challenges of analyzing qualitative data, including interpreting large amounts of data, and the importance of credibility and reliability in qualitative research. The article concludes that qualitative research is essential for understanding complex social phenomena and provides a holistic view of the subject, emphasizing the role of the researcher in the research process.This article aims to understand the design of qualitative research methods. The method used is library research, which involves data collection by searching for sources and reconstructing information from various sources such as books, journals, and existing research. Qualitative research is conducted with a research design where findings are not obtained through statistical procedures or calculations, but rather aim to reveal phenomena in a holistic and contextual manner by collecting data from natural settings and utilizing the researcher as a key instrument. Qualitative research has a descriptive nature and tends to use an inductive approach for analysis, emphasizing the process and meaning based on the subject's perspective. This qualitative research design can be used as a method in research because it is described in a comprehensive manner that is easy to understand by researchers and academics. Qualitative research is a process of studying human or social phenomena to create a comprehensive and complex picture that can be presented in words, reporting detailed views obtained from informants, and conducted in natural settings. It involves exploring the meaning behind phenomena through in-depth interviews and participatory observation. Qualitative research is based on post-positivism, as it is useful for studying natural objects, with the researcher acting as a key instrument, purposive and snowball sampling, triangulation techniques, inductive data analysis, and a focus on meaning rather than generalization. Qualitative research differs from quantitative research in that it does not use statistics but rather data collection, analysis, and interpretation. It is often associated with social and human issues, being interdisciplinary, focusing on multiple methods, naturalistic, and interpretative. Qualitative research focuses on understanding social issues based on realistic or natural settings that are holistic, complex, and detailed. The article discusses the characteristics of qualitative research, including naturalistic inquiry, the researcher as a key instrument, descriptive nature, focus on process rather than outcome, inductive data analysis, and emphasis on meaning. Qualitative research methods include phenomenology, ethnography, hermeneutics, grounded theory, narrative/historical, and case study approaches. The article also outlines the stages of qualitative research, including problem identification, literature review, research objectives, data collection, data analysis and interpretation, and reporting. Data collection in qualitative research requires careful attention, as the quality of research depends on the quality and completeness of the data obtained. Data collection often involves triangulation through interviews, participant observation, and document analysis. The article also discusses the analysis of qualitative data, including data reduction, data display, and conclusions. Data analysis is closely linked to data collection and archival sources, and must be conducted as soon as possible to determine the next data collection. The article highlights the challenges of analyzing qualitative data, including interpreting large amounts of data, and the importance of credibility and reliability in qualitative research. The article concludes that qualitative research is essential for understanding complex social phenomena and provides a holistic view of the subject, emphasizing the role of the researcher in the research process.