Sistem Rekomendasi dan Pengelolaan Antibiotik pada Penyakit Infeksi Saluran Pernapasan Akut Berbasis Decision Tree

Rahmah, Siti Auliah (2026) Sistem Rekomendasi dan Pengelolaan Antibiotik pada Penyakit Infeksi Saluran Pernapasan Akut Berbasis Decision Tree. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Infeksi Saluran Pernapasan Akut (ISPA) merupakan salah satu penyakit yang berkontribusi terhadap tingginya penggunaan antibiotik dan berpotensi meningkatkan kejadian resistensi antimikroba apabila tidak dikelola secara tepat. Selain itu, pengelolaan stok antibiotik yang kurang optimal dapat menyebabkan kekurangan maupun kelebihan persediaan stok di instalasi farmasi. Penelitian ini bertujuan untuk mengembangkan sistem berbasis website yang mendukung rekomendasi antibiotik dan pengelolaan stok antibiotik pada kasus ISPA dengan memanfaatkan riwayat data pasien dan data kefarmasian. Sistem dikembangkan menggunakan metode decision tree ID3 sebagai mekanisme pengambilan keputusan pada fitur rekomendasi antibiotik dan klasifikasi status stok antibiotik. Pada fitur rekomendasi antibiotik, sistem mempertimbangkan gejala pasien, riwayat penggunaan antibiotik, riwayat alergi antibiotik β-laktam, klasifikasi WHO AWaRe, serta informasi resistensi antibiotik yang diperoleh dari Comprehensive Antibiotic Resistance Database (CARD). Sementara itu, pada fitur pengelolaan stok antibiotik diterapkan klasifikasi ABC,VEN, safety stock, dan reorder point untuk mendukung pemantauan persediaan antibiotik. Sistem dibangun menggunakan FastAPI pada bagiam backend, MySQL sebagai database, dan user interface menggunakan Bootstrap. Hasil pengujian menunjukkan bahwa model decision tree ID3 pada fitur rekomendasi antibiotik dengan menggunakan 150 data memperoleh akurasi sebesar 93.33%. Pada fitur pengelolaan stok antibiotik, model menghasilkan akurasi sebesar 92.86% dari 68 data. Pengujian fungsionalitas menunjukkan seluruh fitur sistem berjalan sesuai kebutuhan yang telah dirancang. Selain itu, evaluasi System Usability Scale (SUS) yang melibatkan empat responden memperoleh skor rata-rata sebesar 78.5 yang termasuk dalam kategori good. Dengan adanya sistem ini, diharapkan dokter dapat terbantu dalam meresepkan antibiotik secara lebih rasional, sementara bagian farmasi dapat mengoptimalkan manajemen stok obat, sehingga mendukung implementasi AMS di rumah sakit secara lebih efektif.
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Acute Respiratory Tract Infection (ARTI) is one of the diseases that contributes to the high use of antibiotics and has the potential to increase antimicrobial resistance if not managed appropriately. In addition, suboptimal antibiotic inventory management may lead to either shortages or overstocking in pharmacy installations. This study aims to develop a web-based system that supports antibiotic recommendation and antibiotic inventory management for ARTI cases by utilizing patient historical data and pharmaceutical data. The system was developed using the ID3 decision tree method as the decision-making mechanism for both the antibiotic recommendation feature and antibiotic stock status classification. For the antibiotic recommendation feature, the system considers patient symptoms, history of antibiotic use, history of β-lactam antibiotic allergies, the WHO AWaRe classification, and antibiotic resistance information obtained from the Comprehensive Antibiotic Resistance Database (CARD). Meanwhile, the antibiotic inventory management feature incorporates ABC, VEN classification, safety stock calculations, and reorder point analysis to support antibiotic stock monitoring and control. The system was developed using FastAPI for the backend, MySQL as the database management system, and Bootstrap for the user interface. The testing results indicate that the ID3 decision tree model for the antibiotic recommendation feature, using 150 data, achieved an accuracy of 93.33%. For the antibiotic inventory management feature, the model achieved an accuracy of 92.86% using 68 data. Functional testing demonstrated that all system features operated according to the specified requirements. Furthermore, the System Usability Scale (SUS) evaluation involving four respondents yielded an average score of 78.5, which falls within the good category. The developed system is expected to assist physicians in prescribing antibiotics more rationally while enabling pharmacy personnel to optimize drug inventory management, thereby supporting the implementation of Antimicrobial Stewardship (AMS) programs in hospitals more effectively.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	ISPA, Alergi, Resistensi Antibiotik, Pengelolaan Stok, Decison Tree, ARTI, Allergy, Antibiotic Resistance, Stock Management, Decision Tree
Subjects:	R Medicine > RS Pharmacy and materia medica R Medicine > RZ Other systems of medicine T Technology > T Technology (General) > T58.62 Decision support systems
Divisions:	Faculty of Electrical Technology > Biomedical Engineering > 11410-(S1) Undergraduate Thesis
Depositing User:	Siti Auliah Rahmah
Date Deposited:	31 Jul 2026 02:14
Last Modified:	31 Jul 2026 02:14
URI:	http://repository.its.ac.id/id/eprint/138095

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