Dimas Anggoro Sakti, Dimas (2026) PENGEMBANGAN APLIKASI CHATBOT DETEKSI EMOSI BERBASIS NATURAL LANGUAGE PROCESSING UNTUK MENDUKUNG LAYANAN PRA-KONSELING MAHASISWA UPN VETERAN JAKARTA. Skripsi thesis, Universitas Pembangunan Nasional Veteran Jakarta.
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Abstract
Student pre-counseling is an important stage in supporting counseling services at universities. However, limited service availability and psychological barriers often make students reluctant to express their emotional conditions directly. This study aims to develop a Natural Language Processing (NLP)-based pre-counseling chatbot application as a non-clinical initial screening tool for students at Universitas Pembangunan Nasional “Veteran” Jakarta. The system utilizes the Sentence-BERT (SBERT) paraphrase-multilingual-MiniLM-L12-v2 model to generate semantic text representations, a Multi-Layer Perceptron (MLP) for emotion classification, and Logistic Regression for intent recognition. In addition, the system implements rule-based risk detection and response generation mechanisms to provide empathetic and contextual responses. The implementation results indicate that the system is capable of identifying user emotions and intents, conducting initial emotional condition screening, and generating pre-counseling responses according to the conversation context. The system is expected to improve the efficiency of initial assessments and expand access to pre-counseling services for students.
| Item Type: | Thesis (Skripsi) |
|---|---|
| Additional Information: | [No Panggil: 2110511115] [Pembimbing: Tjahjanto] [Penguji 1: Widya Cholil] [Penguji 2: Nurul Afifah Ariffudin] |
| Uncontrolled Keywords: | Chatbot, Emotion Detection, Intent Recognition, Natural Language Processing, Pre-Counseling |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software |
| Divisions: | Fakultas Ilmu Komputer > Program Studi Informatika (S1) |
| Depositing User: | DIMAS ANGGORO SAKTI |
| Date Deposited: | 02 Sep 2026 09:45 |
| Last Modified: | 02 Sep 2026 09:52 |
| URI: | http://repository.upnvj.ac.id/id/eprint/50518 |
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