Muhamad Faisal Fiqri, - (2024) ANALISIS KLASTERISASI EMOSI DALAM TERJEMAHAN AL-QUR’AN MENGGUNAKAN K-MEANS CLUSTERING. S1 thesis, Universitas Pendidikan Indonesia.
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Abstract
Al-Qur’an sebagai firman Allah yang kaya akan sumber ilmu serta informasi, mencakup aspek spiritual, moral, sosial, dan psikologis, termasuk di dalamnya petunjuk tentang pengenalan emosi yang memiliki dampak signifikan terhadap kecerdasan emosional seseorang. Penelitian ini bertujuan untuk mengidentifikasi dan mengelompokkan ayat-ayat terjemahan Al-Qur’an berbahasa Indonesia yang memuat emosi dasar seperti senang, sedih, takut, marah, jijik, dan terkejut. Proses ini melibatkan preprocessing data, pencarian ayat menggunakan Vector Space Model, serta penerapan algoritma K-Means Clustering. Hasilnya, ayat-ayat tersebut dapat dikelompokkan ke dalam empat klaster utama. Adapun karakteristik dari klaster yang terbentuk diantaranya, klaster 0 menunjukkan pengelompokan ayat yang memuat kata “senang”, klaster 1 dan 2 masing-masing menunjukkan kata “takut”, dan klaster 3 menunjukkan kata ”sedih”. Hasil evaluasi klaster yang diperoleh dengan menggunakan Silhouette Score sebesar 0.442 dan Calinski-Harabasz Index sebesar 251.653 yang mengindikasikan terbentuknya klaster dengan struktur yang lemah yang berpotensi untuk ditingkatkan lebih lanjut. ------------ Al-Qur'an as the word of God is a rich source of knowledge and information, covering spiritual, moral, social, and psychological aspects, including instructions on the recognition of emotions that have a significant impact on a person's emotional intelligence. This study aims to identify and categorize verses of the Indonesian translation of the Qur'an that contain basic emotions such as happy, sad, fear, anger, disgust, and surprise. The process involves data preprocessing, verse search using Vector Space Model, and application of K-Means Clustering algorithm. As a result, the verses can be grouped into four main clusters. The characteristics of the clusters formed include, cluster 0 shows the grouping of verses containing the word “happy”, clusters 1 and 2 respectively show the word “fear”, and cluster 3 shows the word “sad”. The cluster evaluation results obtained using the Silhouette Score of 0.442 and the Calinski-Harabasz Index of 251.653 indicate the formation of clusters with a weak structure that has the potential for further improvement.
| Item Type: | Thesis (S1) |
|---|---|
| Additional Information: | https://scholar.google.com/citations?hl=en&user=x6UK1pAAAAAJ&view_op=list_works&gmla=AC6lMd_Orpp14b2mo0-hDnAVStImEdxb4G90dtLHz3daqJ6a9Gm9Fg1Vf8VCSWqmBxBD0dXEweXja01W-qXoOH8v ID SINTA Dosen Pembimbing: Raditya Muhammad: 6682222 Mochamad Iqbal Ardimansyah: 6658552 |
| Uncontrolled Keywords: | Emosi Dasar, Al-Qur’an Terjemahan, Clustering, Basic Emotion, Al-Qur’an Translation, Text Mining |
| Subjects: | L Education > L Education (General) Q Science > QA Mathematics > QA76 Computer software T Technology > T Technology (General) |
| Divisions: | UPI Kampus cibiru > S1 Rekayasa Perangkaat Lunak |
| Depositing User: | Muhamad Faisal Fiqri |
| Date Deposited: | 17 Sep 2024 09:00 |
| Last Modified: | 17 Sep 2024 09:00 |
| URI: | http://repository.upi.edu/id/eprint/121772 |
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