There is one particular subject that often makes Informatics students\nfeel as though they are facing a mountain of theories, chapters,\ninstruments, hypotheses, and various academic regulations: Research\nMethodology. Many view it merely as an obligation to be completed before\nfinishing their final project or meeting lecture requirements.<\/p>\n
I view it from a different perspective. Research Methodology should\nbe one of the most important foundations in Informatics education.\nAmidst the rapid development of Artificial Intelligence (AI), the\nability to create technology alone is not enough. Students must also be\nable to understand problems, test assumptions, read data, choose the\nright methods, and ensure that the solutions built truly provide\nbenefits.<\/p>\n
Informatics must not stop at the ability to write code. A digital\ntalent must be able to answer problems with a systematic and accountable\napproach.<\/p>\n
This can be seen in the birth of the Student Creativity Program-Karsa\nCipta (PKM-KC) proposal titled SIGAP-OBAT: A Prototype for the Automatic\nIdentification System of Dangerous Pharmaceutical Substances Based on\nDeep Learning and Large Language Models. To me, this work demonstrates\nhow research methodology can serve as a bridge between real-world\nproblems and technological innovation.<\/p>\n
The team, led by Nurima Agusnita alongside Satria Afzal Zaydan, Afra\nNur Rafifah, Syifa Aisyah, and Nabilah Septya Herlina, did not stop at\nsearching for references. They attempted to observe existing field\nissues, specifically the condition of medicine labels that may suffer\nfrom damage or distortion, and then translated these into technological\nproblems that can be researched and developed.<\/p>\n
This is the true essence of research. Research is not merely about\nsearching for theories to fill report pages. Research is a process of\nunderstanding problems more deeply before offering solutions. In the\ncontext of SIGPRE-OBAT, students attempted to combine Computer Vision,\nOptical Character Recognition (OCR), Deep Learning, and Large Language\nModels (LLM) into a designed solution aimed at assisting the\nidentification process of information related to pharmaceutical\nsubstances.<\/p>\n
This approach also demonstrates that technological innovation does\nnot always have to start with something spectacular. Often, innovation\nis born from simple problems found around us that have not yet received\nan appropriate solution.<\/p>\n
Therefore, I always encourage Informatics students to change their\nperspective on research. Do not view methodology as a collection of\nrules that limit creativity. On the contrary, methodology is a map that\nhelps creativity move towards a clear goal.<\/p>\n
A good idea requires the right method. Advanced technology requires\nvalidation. Even artificial intelligence requires high-quality data,\ntesting processes, and ethical considerations so that its use does not\ncreate new problems. This is where universities have a\nresponsibility.<\/p>\n
As a Digital Business Campus, Nusa Mandiri University (UNM) strives\nto build a learning ecosystem that does not separate theory from\npractice. For us, the classroom is not just a place for students to\nreceive material, but an initial space to give birth to ideas that can\nbe tested and developed into works.<\/p>\n
In the Informatics Study Programme (S1), learning is directed so that\nstudents possess both technical and critical thinking abilities. They\nneed to understand algorithms and technology, but they must also be able\nto identify problems, process information, choose research approaches,\nand evaluate whether the solutions they build are truly effective.<\/p>\n
In this process, lecturers play a much larger role than merely\nproviding grades. Lecturers need to be mentors who help students sharpen\nproblem definitions, validate data, choose methods, and direct the\ndevelopment of solutions so that they have an academic basis and\npractical benefits.<\/p>\n
I believe that works like SIGAP-OBAT are examples of how this process\ncan produce something more meaningful. A research proposal can evolve\ninto a prototype. A prototype can be tested. Test results can become the\nbasis for further development. Ultimately, academic works have the\nopportunity to provide benefits to society.<\/p>\n
This is the research culture we wish to continue building. Today\u2019s\nInformatics students live amidst incredibly rapid technological changes.\nArtificial Intelligence, Deep Learning, Computer Vision, Internet of\nThings, Cloud Computing, and various new technologies continue to\nevolve. However, constantly changing technology requires humans who are\ncapable of thinking more fundamentally.<\/p>\n
The ability to think critically, understand problems, conduct\nresearch, read data, and make decisions based on evidence will not lose\nits relevance even as technology changes.<\/p>\n
Therefore, I want students to view Research Methodology not as a\nsubject to be quickly bypassed, but as preparation for building the\nmindset of an innovator.<\/p>\n
Every problem can become research material. Every piece of data can\nbecome a source of knowledge. Every piece of knowledge can become the\nbasis for innovation. And every innovation has the opportunity to\nprovide benefits if developed through a measurable process.<\/p>\n
To me, the success of Informatics education is not only when students\nare able to create applications or master programming languages. Greater\nsuccess occurs when they are able to see the problems around them,\nformulate problems accurately, build technology-based solutions, and\nthen prove that those solutions provide an impact.<\/p>\n
That is the spirit we continue to encourage at UNM as a Digital\nBusiness Campus. We want students to not only be users of technology,\nbut creators of solutions.<\/p>", "url": "https:\/\/jawawa.id\/newsitem\/research-is-more-than-just-a-formality-1789732505", "image": "" }, "sponsor": "Okusi Associates", "sponsor_url": "https:\/\/okusiassociates.com" }