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Dhamanti, Inge
Departemen Administrasi Dan Kebijakan Kesehatan Fakultas Kesehatan Masyarakat Universitas Airlangga
Humanities Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Environmental Science Health Professions Immunology & microbiology Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Neuroscience Nursing Public Health Social Sciences Veterinary Other

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Journal : International Journal of Electrical and Computer Engineering

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Hospital quality classification based on quality indicator data during the COVID-19 pandemic Nurhaida, Ida; Dhamanti, Inge; Ayumi, Vina; Yakub, Fitri; Tjahjono, Benny
International Journal of Electrical and Computer Engineering (IJECE) Vol 14, No 4: August 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v14i4.pp4365-4375

Abstract

This research aim is to propose a machine learning approach to automatically evaluate or categories hospital quality status using quality indicator data. This research was divided into six stages: data collection, pre-processing, feature engineering, data training, data testing, and evaluation. In 2020, we collected 5,542 data values for quality indicators from 658 Indonesian hospitals. However, we analyzed data from only 275 hospitals due to inadequate submission. We employed methods of machine learning such as decision tree (DT), gaussian naïve Bayes (GNB), logistic regression (LR), k-nearest neighbors (KNN), support vector machine (SVM), linear discriminant analysis (LDA) and neural network (NN) for research archive purposes. Logistic regression achieved a 70% accuracy rate, SVM a 68% accuracy rate, and neural network a 59.34% of accuracy. Moreover, K-nearest neighbors achieved a 54% of accuracy and decision tree a 41% accuracy. Gaussian-NB achieved a 32% accuracy rate. The linear discriminant analysis achieved the highest accuracy with 71%. It can be concluded that linear discriminant analysis is the algorithm suitable for hospital quality data in this research.
Co-Authors Adinda Nur Salsabila Adinda Nur Salsabila Aditya Putra Pratama Santosa Ahmad Rido'i Yuda Prayogi Ainur Rohmah, Fitria Aisyah Putri Rahvy Alifia, Redina Thara Amiati, Mia Amilia, Sri Lanti Andreasih, Chika Anisa Nur Kholipah Arimbi, Ezha Gadis Rekly Ariska, Rinda Minanti Asterix, Ayu Astiria Maya Audrey Louissia Herman Ayumi, Vina Azmi Handhoko, Hani Mutia Berliani, Attalya Zahra Brigitta, Innes Rizma Budhi Setianto Budhi Setianto Cyrus Y Engineer Dahlui, Maznah Davina Mutia Devilia, Laela Agrista Diah Khrisma Putriana Diansanto Prayoga Djazuly Chalidyanto Eka Suci, Aurel Artamevia Edrian Elida Zairina Erdiana Rhamalia F. Himmatul Aliyah Fadhilah, Fildza Rizkya Fahmeeda, Yasmin Alia Fazria, Nokky Farra Fitri Yakub Fitria, Sherly Nur Fransiska Oktavia Puteri Habibah, Tamaamah Hanifa, Yumna Nur Millati Havida Aini Fauziyah Hengky Irawan Ida Nurhaida Ida Nurhaida Ika Marta Nia Immanuel, Theofeus Indana Tri Rahmawati Intan Resvilani Ismawantri, Putu Ismiyatul Izza Jarghon, Ali E M Juliarizky Shinta Dewi Karida, Rahma Kurniasari, Shinta Larasati, Andriyani Larasati, Andryani Luckyta Ayu Puspita Sari MAHARANI, AYUNDA REGINA Mahmudin, Ahmad Amin Martanto, Tri Wahyu Melania, M. Karomah Nastiti Mistri, Shinta Putri Muhamad, Rosediani Muhammad Atoillah Isfandiari Muhammad Rizky Widodo Murtiningtyas, Randa Arnika Nabila Rahma Salsa Nikita Nabilla Nokky Farra Fazria Novenda, Diva Nuranisah Djunaedi Nuria, Shinta Nyoman Anita Damayanti Palupi, Sayekti Intan Pratiwi, Rika Meylina Putri, Dwi Resicha Adna Putri, Fadillah Andriani Putri, Maurilla Shafira rifa, fabrella Rosediani Muhamad Sabrina Tria Damayanti Safira Anis Rahmawati Salsabila Salsabila Salvany Zahra Sari, Luckyta Ayu Puspita Sari, Rima Putri Permata Shafira, Risma Ainun Sungkonoputri, Lisa Syifa’ul Lailiyah Syifa’ul Lailiyah Tamaamah Habibah Tarigan, Dhea Benedikta Taufik Rachman Taufik Rachman Thinni Nurul Rochmah Tjahjono, Benny Tri Martiana Wahidah, Laila Farisya Wardahni, Rizka Kusuma Widya Hapsari Murima Wirasasmita Paripih Yulinar, Velynta Sephia Yumna Nur Millati Hanifa