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Journal : Jurnal Computer Science and Information Technology (CoSciTech)

Real-time Responses System Dalam Peningkatan Pelayanan Rumah Sakit Arun Lhokseumawe Menggunakan Metode Natural Language Processing: Studi Kasus pada Rumah Sakit Arun untuk Meningkatkan Kecepatan Pelayanan Silfa Maharani Br Padang; Muhammad Fikry; Zahratul Fitri
Computer Science and Information Technology Vol 5 No 3 (2024): Jurnal Computer Science and Information Technology (CoSciTech)
Publisher : Universitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/coscitech.v5i3.8359

Abstract

Abstract Based on information from the Central Statistics Agency, the population of of Lhokseumawe City reached 191,396 people in 2022, which requires Rumah Sakit Arun Lhokseumawe to enhance its healthcare services to the community. The increase in population presents challenges for the hospital in addressing patients with health issues. Therefore, the author proposes the development of a "Real-Time Responses" system to improve services at Rumah Sakit Arun by utilizing Natural Language Processing (NLP) methods. This system aims to assist patients and the public in seeking information related to health and services available at the hospital. The approach used in developing the chatbot Long Short Term Memory (LSTM) is a component of NLP technology. NLP, in turn, is a field of artificial intelligence (AI) that allows computers to comprehend human text and speech. This technology combines linguistic computation with statistical models, machine learning, and deep learning, allowing computers to process human language in text or voice form and fully comprehend the meaning and sentiment of the writer or speaker. By applying this technology, it becomes expected that communication between the hospital and the community will become more effective, and access to health information can be obtained more quickly, supporting the enhancement of healthcare service quality in Lhokseumawe. Keywords: chatbot, NLP, LSTM, Arun Lhokseumawe, information
Co-Authors Aldo januansyah. H Amalia, Iklasni Annisa Helmina Aprian Gigin Prasetia Ar Razi Asrianda Asrianda Asrianda, Asrianda - Aynun, Nur Azzahra Iskandar, Farah Bustami Bustami Bustami Chrisnata Manihuruk Cut Ita Erliana Dahlan Abdullah David Fadlianda Dessayani Putri Dyah Ika Rinawati Ella Suzanna Erwanda, Ade Putra Eva Darnila Fadlisyah Fadlisyah Faiz Syukri Arta Faiz Fajar Rivaldi Chan Fajriana, Fajriana Faradilla, Cut Meutia Febi Yanto Gusti, Siska Kurnia Hafizh Al Kautsar Aidilof Hanif, Wan Muhammad Hasan Tahir Helmi Naluri Herman Fithra Hidayatsyah Hidayatsyah Hizamrul jaen Ibnu Khaldun Ima Pratiwi Imam Rosadi Irfan Sahputra Iskandar, Fahra Azzahra Ismail Ismail Khaidar, Al Khairina, Jikti Kurnia Amanda, Destiara Kurniawati Kurniawati Lidya Rosnita Luthvy Ilhamdi M Ishlah Buana Angkasa Maharani, Silfa Mhd Firza Ryzaaldy Muchlis Abdul Muthalib Muhammad Al Imran Muhammad Dastur Muhammad Iqbal Muhammad Iqbal Muhammad Sapriadi Muhammad Yani, Muhammad Mukhlis Mukhlis Muqarrabin, Khalis Al Nazwa Aulia NELI SUSANTI, NELI Nunsina Nura Usrina Nurdin Nurdin Rahma, Mutiara Ramadhani, Ramadhani - Rauzana, Rauzana - Rifkial Iqwal Rini meiyanti Risawandi, Risawandi Rizal S.Si., M.IT, Rizal Rizki Suwanda Rozzi Kesuma Dinata Safwandi Safwandi Said Fadlan Anshari Sari, Cut Jora Sembiring, Vivi Dista Br Silfa Maharani Br Padang Siti Hajar Subhan Hartanto Subhan Hartanto Sudirman Sudirman Sujacka Retno Sukma Rizki Taufiq Taufiq Taufiqurrahman Taufiqurrahman Tejas Shinde Umar Khalil Wahdana, Aldi Yani, Muhamamd Yesy Afrillia Yesy Afrillia Yusra, Yusra Zahratul Fitri Zara Yunizar zulfhazli zulfhazli