Penerapan Metode Systematic Literature Review (SLR) dalam Memetakan Topik Riset Unggulan Mahasiswa Informatika
Keywords:
Systematic Literature Review, Informatics, Research Trends, Computer Science, Mapping, Student ResearchAbstract
Latar Belakang: Perkembangan ilmu komputasi yang pesat menciptakan ekosistem penelitian yang kompleks, sehingga pemetaan literatur yang komprehensif sangat krusial untuk menyingkap tren riset mutakhir, mengidentifikasi celah penelitian, dan mencegah duplikasi karya ilmiah di kalangan mahasiswa informatika. Tujuan: Penelitian ini bertujuan untuk memetakan secara sistematis topik riset unggulan, metodologi dominan, serta tren interdisipliner pada publikasi riset informatika dari tahun 2020 hingga 2025. Metode: Penelitian ini murni merupakan tinjauan pustaka yang mengadopsi metodologi Systematic Literature Review (SLR) yang sepenuhnya didasarkan pada referensi yang ada tanpa pengambilan data di lapangan. Melalui perangkat lunak analitik, 50 artikel primer yang terbit antara tahun 2020 hingga 2025 diseleksi secara ketat dari basis data akademik untuk kemudian dilakukan ekstraksi data tematik. Hasil: Analisis tematik mengategorikan 50 literatur tersebut ke dalam empat klaster utama, yaitu: 1) Kecerdasan Buatan dan NLP (fokus pada model Transformers dan deteksi hate speech); 2) Rekayasa Perangkat Lunak (arsitektur microservice dan pola keamanan); 3) Teknologi Pendidikan (aplikasi Metaverse dan sistem tutoring cerdas); serta 4) Informatika Kesehatan (pemantauan kesehatan mental dan otomasi dataset klinis). Kesimpulan: Hasil kajian ini berhasil memetakan lintasan riset informatika, menunjukkan pergeseran fokus yang jelas menuju solusi sosio-teknis interdisipliner. Peta jalan riset berhasil dirumuskan untuk menjadi panduan akademis, dan penelitian selanjutnya disarankan untuk mengkaji implementasi AI yang etis serta keamanan siber berskala besar pada berbagai domain terapan tersebut.
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