UPBUPB

Computer Based Information System JournalComputer Based Information System Journal

Diterima Redaksi: Januari 2025. Diterbitkan Online: Maret 2025. . KATA KUNCI. . Analysis, Clustering, Data Mining,. K-Means, Mental Health. . KORESPONDENSI. E-mail: pb211510010@upbatam.ac.id. . Addressing mental health issues has become a priority for the Indonesian. government due to the rising prevalence of depression and anxiety,. especially in Riau Archipelago Province, which reported as one of the. provinces with the highest suicide rates in the country. The World Health. Organization has pointed out the deficiencies in data collection,. reporting, and knowledge management related to mental health. PT XYZ. has collected mental health data through annual medical check-ups. utilizing the DASS-21 scale, but this data has not been analyzed to extract. useful and actionable insights for management. This research aims to. profile the mental health of PT XYZ workers using annual medical check-. up data from June to September 2023, involving a total of 3,699 workers.. By implementing the K-Means clustering algorithm based on three. variables—depression, anxiety, and stress—the analysis revealed that. 242 workers were identified in a cluster with severe mental health. conditions, 1,271 in a cluster with moderate conditions, and the. remaining 2,186 with mild conditions in a cluster.

Implementasi Data Mining yaitu Algoritma K-Means dapat digunakan untuk mengidentifikasi profil kesehatan mental pekerja dan menunjukkan hasil clustering yang baik dan efisien.Cluster yang terbentuk dari perhitungan algoritma K-Means dan dari pengujian dengan aplikasi Altair AI Studio (RapidMiner) menunjukkan tiga kelompok pekerja dengan tingkat keparahan kondisi mental mild, moderate, dan severe.Hasil penelitian ini dapat menjadi dasar bagi PT XYZ untuk menyusun langkah strategis dalam menangani kondisi kesehatan mental karyawan.

Penelitian lanjutan dapat mengkaji penerapan algoritma lain seperti DBSCAN atau SVM untuk membandingkan efektivitasnya dalam memprofilkan kesehatan mental karyawan. Selain itu, penelitian dapat mengintegrasikan data tambahan seperti faktor lingkungan kerja atau kebijakan perusahaan untuk memperkaya analisis. Terakhir, studi ini dapat diperluas ke sektor industri lain atau wilayah geografis berbeda untuk mengevaluasi generalisasi hasil penelitian.

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