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Journal : JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH)

Penerapan Random Forest dan Content-Based Filtering pada Alokasi Tenaga Kesehatan Hipertensi Asri, Jefry Sunupurwa; Aryani, Diah; Fannya, Puteri; Dewi, Ratna
Journal of Information System Research (JOSH) Vol 7 No 2 (2026): January 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v7i2.9251

Abstract

Hypertension is a major health issue in DKI Jakarta requiring efficient resource distribution to overcome inter-regional access inequalities. This research aims to design and implement a web-based decision support system (DSS) integrating Geographic Information System (GIS) to optimize health worker allocation and determine hypertension priority areas precisely. The novelty lies in integrating a Random Forest machine learning model to predict service coverage until 2030 with Content-Based Filtering (CBF). The CBF method utilizes intrinsic regional features, including service percentages, geographical locations, and prediction trends, to generate objective health worker quota recommendations. The Random Forest model was validated using 5-Fold Cross Validation with excellent performance, showing an average R² value of 0.86 and an accurate Mean Absolute Error (MAE) of 6.7%. The system is implemented using Streamlit and Folium frameworks for geographical visualization. Research results provide contributions through priority area maps, adaptive health worker quota recommendations, and Mobile Health Clinic route simulations supporting data-driven decision-making. Through this system, policymakers can perform strategic planning to improve hypertension intervention effectiveness in Jakarta. With an integrated predictive and recommendation approach, this study is expected to become a reference in the digital transformation of public health resource allocation more equitably and accurately.
Co-Authors Adaafi'ah, Yasinta Addaafi’ah, Yasinta Ade Setiadi Adnandi, M Arba Adrian Adrian Ahmad Fathurrozi Aji Setiawan Akbar, Habibullah Andreansyah, Tedy Ari Asmawati Ari Pambudi Arnas, Dio Hartawan Ary Budi Warsito, Ary Budi Asianto, Andriyanti Bashir, Pandu Bayu Sulistiyanto Ipung Sutejo Budi Tjahjono Damayanti, Prisila Delio, Ferdinand Defin Endi Rekarti, Endi Fannya, Puteri Fatonah, Nenden Siti Fifit Alfiah Fredy Susanto Gaol, Lasando Lumban H. Haris H. Haris Hani Dewi Ariessanti Harahap, Eka Purnama Haris Haris ., Haris Harlinda Syofyan Hendrian Hendrian Hendrian, Hendrian Herwanto, Agus Ichwani, Arief Ichyan Holilan Ilamsyah Ilamsyah Indri Handayani, Indri Ira Tyas Ningrum Izza Ilma Insyifani Jefry Sunupurwa Asri Kurnia, Rafi Zhafar Kusmawan, Dicky Luri Sesy Apriyani Malabay ., Malabay Malabay Malabay Manurung, Jhordy Noverdian Mariyana Widiastuti Martino Wibowo Martono, Aris Mohamad Yusuf Mohammed Al-shammari, Marwan Kadhim Muhamad Bahrul Ulum Muhamad Bahrul Ulum Muhamad Yusup Noviandi Noviandi Noviandi Noviandi, Noviandi Po Abas Sunarya Purnomo, Yunianto Putra, Syahrizal Dwi Putri, Dian Mustika Qurotul Aini Ramadhan, Kresna Ratna Dewi Ratnawati Susanto RR. Ella Evrita Hestiandari Ruli Supriati, Ruli Sabar Sukarno Sakina Nusarifa Tantri Saputra, Mochamad Adi Setiadi, Ade Shine Pintor Siolemba Patiro Sigit Santoso Siti Maesaroh STMIK, Author Super Sudaryono Sudaryono Sugeng Santoso Suhandi Junaedi Suharti, Dwi Sloria Sunarto, Ronald Nur Supriyono, Ignatius Agus Suryana, Endang Sutanto, Imam Syafnidawati, Syafnidawati Syahrizal Dwi Putra Syahrizal Dwi Putra Syahrizal Dwi Putra Syahrizal Dwi Putra Tiara Fanny Eldiana Ulum, M. Bahrul Untung Rahardja Verdi Yasin Wahyu, Sawali Widiarso, Rafif Tri Willi Kornellius Yaya Sudarya Triana Yose Amelia, Sabrina Yulhendri Yulhendri