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Satrio Junaidi
Fakultas Sains Dan Teknologi Universitas PGRI Sumatera Barat
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Analisis Komparatif Algoritma Machine Learning untuk Prediksi Dini Tuberkulosis di Puskesmas X Koto I Tanah Datar Junaidi, Satrio; Febriyani, Nia; Putri, Melani Septina; Ananda, Muthia
Lebah Vol. 19 No. 4 (2026): Maret: Pengabdian
Publisher : IHSA Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/lebah.v19i4.493

Abstract

Tuberkulosis (TB) masih menjadi masalah kesehatan serius di Indonesia, terutama di daerah dengan akses terbatas seperti Kabupaten Tanah Datar. Deteksi dini yang lambat sering kali terjadi karena gejala awal yang tidak spesifik dan sistem pencatatan yang masih manual. Penelitian ini bertujuan mengembangkan sistem prediksi pasien TB berbasis machine learning dengan algoritma Support Vector Machine (SVM) untuk membantu tenaga kesehatan di Puskesmas X Koto I dalam melakukan skrining awal. Metode yang digunakan meliputi pengumpulan data rekam medis sebanyak 1.000 pasien, pengembangan model prediktif, pelatihan bagi tenaga kesehatan, serta implementasi dan evaluasi sistem. Hasil uji coba menunjukkan bahwa sistem mampu memprediksi risiko TB dengan akurasi mencapai 98% dengan precision, recall dan fi-score 93%.  Sistem ini telah diimplementasikan dalam bentuk aplikasi web interaktif yang mudah digunakan oleh petugas kesehatan. Selain meningkatkan akurasi diagnosis, sistem ini juga mempercepat proses skrining dan mendukung upaya pencegahan penularan TB di masyarakat. Program ini diharapkan dapat menjadi model inovatif yang berkelanjutan dan dapat diadopsi oleh puskesmas lainnya
Pemodelan dan Prediksi Tingkat Kemiskinan Provinsi Sumatera Barat Menggunakan Support Vector Machine Putri, Melani Septina; Junaidi, Satrio; Mardiyah, Ainil
Computer Science and Information Technology Vol 7 No 1 (2026): 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.v7i1.11207

Abstract

This research is motivated by the problem of poverty distribution in West Sumatra Province, which still varies between regions. The objectives of this study are to build a prediction model using the Support Vector Machine (SVM) algorithm, evaluate the model's performance, and implement the prediction results in the form of an interactive dashboard to support local government decision-making. The study uses secondary data from the Central Statistics Agency (BPS) of West Sumatra Province for the period 2015–2024, covering 19 districts/cities. The dependent variable is the percentage of poor people (P0), while the independent variables consist of seven socio-economic indicators. The method used refers to the CRISP-DM stages. In the data preparation stage, missing values are handled using median imputation, outliers are handled using winsorizing, standardization is carried out using Z-Score, and the addition of a one-period lag variable (P0_lag1). The data is divided into training data (2015–2022) and test data (2023–2024), with parameter optimization using GridSearchCV and TimeSeriesSplit. The results showed that the Support Vector Regression (SVR) model with a radial basis function (RBF) kernel provided the best performance with parameters C=1000, epsilon=0.05, and gamma=0.001. This model produced an MAE value of 0.32, RMSE of 0.36, and R² of 0.98. The implementation of the prediction results in the Streamlit dashboard for the 2025–2030 period showed a downward trend in poverty levels in most regions. This model is considered effective as a basis for planning and evaluating data-based poverty alleviation policies.
Co-Authors Ade Pratama Adlia Alfiriani Adlia Alfitriani Afdal, Rahmat Ahcmad Fauzi Ainil Mardiyah Alda Anesa Vetdri Ananda, Muthia Anggraini, Anggun Anggraini, Fitma Fiana Anggri Yulio Pernanda Angraini, Novita Anisa Khairanti Anna Cesaria Arsyad, Muhammad Zulfikri Bella Rahma Juita Dayuza, Teguh Nugratama Delsi K Delsi K Fadhli, Irfan Faiza Rini Fauzi, Ahcmad Felia Siska Haris Kurniawan, Haris Heri Mulyono Heri Mulyono Heri Mulyono Insani, Yumara Irsyadunas Irsyadunas Irsyadunas Irsyadunas Irsyadunas Irsyadunas Irsyadunas, Irsyadunas Irwan Irwan Ismayadi Ismayadi Kamal, Rahim Mudita Kenni Ceria Putri Melia , Yenni Mourend Devegi Mutiara, Devita Nawalinsi, Nawalinsi Nia Anggraini Nia Febriyani Novita, Rini Nuri Fadillah Nuri Fadillah Fadillah Okta Amelisa PUSPITA, LYDIA Putri, Kenni Ceria Putri, Melani Septina Putri, Rifka Aulia Putri, Satifah Radhya Yusri, Radhya Rahma Rahma Rahma Rahma Rahmi Wiyatri raju riskillah Rani Valicia Anggela Rifka Aulia Putri Rini Novita Rini Novita riskillah, raju Saadoon, Abather Rahi Samudra, Ami Anggraini Sari, Enggi Permata Septia Amrullah Sofia Edriati Sulkasi, Neffi Syaiful Zuhri Harahap Teguh Nugratama Dayuza Thomson Mary, Thomson Tina Rosyana, Tina Valicia Anggela, Rani Windi Agustiara Wiyatri, Rahmi Yenni Melia Yurni Yurni