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All Journal Academic Journal of Computer Science Research (AJCSR) IT For Society : Journal of Information Technology
Royan, Neil
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Computer Science & IT Decision Sciences, Operations Research & Management Education

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Chatbot for Mental Health Using Tf-Idf and SVM Rahadiyan, Deffa; Sudrajat, Muhammad; Nugraha, Bagja Satya; Royan, Neil; Alifah, Nurli; Adityo, Vincentius; Al-Latief, Panji Maulana; Humami, Miqdam
IT for Society Vol 9, No 2 (2024)
Publisher : President University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33021/itfs.v9i2.5746

Abstract

This research aims to develop a chatbot for mental health by using the term frequency-inverse frequency (Tf-Idf) technique to represent text and support vector machines (SVM) for classification. This chatbot is designed to provide support and information to users seeking help with mental health issues. The dataset used to train the model includes mental health-related conversations, including conversations between mental health professionals and patients, as well as general conversations about mental health. The chatbot interface allows users to input their questions or concerns, which are then processed using Tf-Idf to vectorize the text data. These features are fed into an SVM model for classification, determining the appropriate response type, such as depression, anxiety, or general advice. Chatbot responses are generated based on the classification results, providing relevant information and support to the user. Chatbots are deployed on a platform where users can interact with them, and their performance is evaluated using metrics such as accuracy, precision, gain, and F1 score.
Perancangan Sistem Creative Solution Concept Perusahaan Berbasis Web di PT XYZ Andriansyah, Teddy; Sari, Nita Winda; Purnamasari, Rita; H Simarangkir, Manase Sahat; Royan, Neil
Academic Journal of Computer Science Research Vol 8, No 1 (2026): Academic Journal of Computer Science Research (AJCSR)
Publisher : Institut Teknologi dan Bisnis Bina Sarana Global

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38101/ajcsr.v8i1.16116

Abstract

Perkembangan industri manufaktur menuntut efisiensi tinggi, namun PT XYZ yang bergerak di bidang suku cadang otomotif mengalami penurunan kualitas output akibat sistem perbaikan berkelanjutan (kaizen) yang belum optimal. Permasalahan utama adalah pengelolaan kaizen fee yang masih dilakukan secara manual menggunakan kertas, mengakibatkan risiko kehilangan data, sulit dimonitor, dan proses persetujuan yang lambat. Penelitian ini bertujuan merancang sistem informasi berbasis website bernama Creative Solution Concept untuk mendigitalisasi proses pengajuan dan persetujuan usulan perbaikan. Metode pengembangan sistem yang digunakan adalah System Development Life Cycle (SDLC) model Waterfall, dengan bahasa pemrograman PHP Native dan pengujian fungsionalitas menggunakan metode Black Box Testing. Hasil penelitian menunjukkan bahwa seluruh fitur sistem, mulai dari input usulan, persetujuan berjenjang (approval), hingga rekapitulasi laporan, berjalan sesuai fungsinya. Disimpulkan bahwa sistem ini memberikan kontribusi signifikan dalam meningkatkan efisiensi waktu persetujuan, menjamin keamanan data historis perbaikan, serta memudahkan manajemen dalam mengambil keputusan berbasis data real-time.
Co-Authors Adityo, Vincentius Al-Latief, Panji Maulana Alifah, Nurli Andriansyah, Teddy H Simarangkir, Manase Sahat Humami, Miqdam Nugraha, Bagja Satya Rahadiyan, Deffa Rita Purnamasari Sari, Nita Winda Sudrajat, Muhammad