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Billy Hendrik
Univesitas Putra Indonesia YPTK
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Journal : sebatik

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Deep Learning Analysis for Predicting the Approval Time of Clinical Practice Guidelines (CPG) Based on Historical Administrative Data Yuliana Pertiwi; Musli Yanto; Billy Hendrik
Sebatik Vol. 30 No. 1 (2026): June 2026
Publisher : STMIK Widya Cipta Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46984/sebatik.v30i1.2745

Abstract

This study aims to predict the processing time of the approval of Clinical Practice Guidelines (CPG), which exhibits considerable variation in duration and is difficult to predict accurately. In addition, the utilization of historical hospital administrative data to build effective predictive models for estimating the duration of the CPG approval process has not yet been optimized. Therefore, this research seeks to develop a predictive model to estimate the processing time of the CPG approval process.The proposed approach employs deep learning techniques by leveraging historical administrative data as the basis for modeling. The methods applied include K-Means Clustering, Decision Tree, and Long Short-Term Memory (LSTM). K-Means Clustering is used to group CPG data based on similar administrative characteristics, enabling the identification of approval time patterns. Subsequently, the Decision Tree method is utilized to analyze the relationships among variables and to generate classification rules that explain the factors influencing the duration of the CPG approval process. Meanwhile, LSTM serves as the primary model for predicting the processing time of CPG approval.This study uses 487 CPG records collected over the period from 2020 to 2024. The evaluation results indicate that the K-Means Clustering method achieves an accuracy rate of 87,36%. This level of accuracy reflects strong clustering performance and a high degree of conformity with actual conditions, indicating that the results are suitable to be used as a foundation for further analysis in the classification and prediction stages of the CPG approval process.
Co-Authors A'yuni, Qurrata Abdi Juliantho, Dwana Abdi Julianto, Dwana Ade Puspita Sari Ade Saputra Ade Saputra Ade saputra Afifah Syahidah Nahda Akbar, Syifa Chairunnissa Deliva Akhiruddin Pulungan Alicia Mulya Maharani Amin Amirul Mukminin, Andi Amin, Andi Amir Salim Khairul Rijal Amir Salim Khairul Rijal Amri, Yassirli Andi, Muhammad Yusril Haffandi Aprilian Gevindo Arby, Willya Aswandi, Nopan Budiantoro, Hendro Deti Karmanita Dewi, Apriandini Sri Dian Maharani Diffri Solihin Siregar Doni Karseno Dwana Abdi Juliantho Dzil Hidayati Elpina Sari Dewi Hasibuan Fadhila Putri Sani Fadil Idensia Febby Olivia, Ladyka Firdaus Firdaus daus Firdaus Firdaus Fitri Amelia Lubis Fungki Wahyu Gevindo, Aprilian Ghinaa Fadhiilah Gunadi Widi Nurcahyo Gunadi Widi Nurcahyo Gunadi Widi Nurcahyo Haffandi, Muhammad Yusril Harry Theozard Fikri Hasri Awal hidayat, Ilsa Ikhlas, Ariza Imam Fakhri Muhammad Indhira, Sonia Juliantho, Dwana Abdi Kalfinus Waruwu Karseno, Doni Ladyka Febby Olivia Lubis, Fitri Amelia Sari Lubis, Fitri Sari Lubis, Siti Sahara Mardhiah Masril Muhammad, Imam Fakhri Nasution, Ayu Lestiani Nella Novrina Doni Nugraha, Fajri Olivia, Ladyka Febby Ondra Eka Putra Permana, Nabilah Putri Putri Ramadani Resnawita Resnawita Resnawita Rico Anggara Ridwan Sutri Ridwan, Ridwan Riris Agustin Riris Agustin Ritna Wahyuni Rizqi Nusabbih Hidayatullah Gaja Roy Efendi Subarja Roy Efendi Subarja Roy Efendi Subarja Ruri Hartika Zain Ruri Hartika Zain Rusydi, Rezki Sahara Lubis, Siti Sani, Fadhila Putri Santriawan, Aji Sarjon Defit Satria Satria, Satria Septiawan, Edo Siti Sahara Lubis Siti Sahara Lubis Sonia Indhira Sonia Indhira, Sonia Sovia, Rini Sri Mulya Subarja, Roy Efendi Sukardi Sukardi Sukardi Sukardi Sumijan Sumijan Supperianto, Bambang Suri, Melati Rahma Syafri Arlis Tamin, Zulfiqar Tio Doli Raharjo Uthama, Rayhan Vidyanti, Angela Wira, M Wira Sanjaya Wirdawati, Wira Yanto, Musli Yuhandri Yuhandri, Yuhandri Yuliana Pertiwi