Rancang Bangun Sistem Apotek Terintegrasi Fitur Rekomendasi Obat Alternatif Berbasis Content-Based Filtering (Studi Kasus : APOTEK COKRO)

Mochammad Atur, Akbar Loredo (2026) Rancang Bangun Sistem Apotek Terintegrasi Fitur Rekomendasi Obat Alternatif Berbasis Content-Based Filtering (Studi Kasus : APOTEK COKRO). Undergraduate thesis, Universitas Nusantara PGRI Kediri.

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Abstract

Mochammad Atur Akbar Loredo Hariyanto Putra. 2026. Rancang Bangun Sistem Apotek Terintegrasi Fitur Rekomendasi Obat Alternatif Berbasis Content-Based Filtering pada Apotek Cokro. Skripsi. Program Studi Teknik Informatika, Fakultas Teknik dan Ilmu Komputer, Universitas Nusantara PGRI Kediri. Kediri, 2026 Kata Kunci : Sistem Apotek, Rekomendasi Obat Alternatif, Content-Based Filtering, TF-IDF, Cosine Similarity. Penelitian ini bertujuan merancang dan membangun Sistem Apotek Terintegrasi dengan fitur rekomendasi obat alternatif berbasis Content-Based Filtering (CBF). Sistem dikembangkan menggunakan PHP Native dan MySQL dengan memanfaatkan metadata kandungan dan indikasi obat. Proses rekomendasi dilakukan melalui tahapan preprocessing, pembobotan Term Frequency-Inverse Document Frequency (TF-IDF), dan perhitungan Cosine Similarity untuk menentukan tingkat kemiripan antarobat. Data penelitian menggunakan sekitar 300 data obat dari Apotek Cokro. Sistem yang dibangun mencakup pengelolaan data obat, transaksi penjualan, stok, pelaporan, dan rekomendasi obat alternatif. Hasil pengujian Blackbox menunjukkan seluruh fungsi sistem berjalan dengan baik. Pengujian User Acceptance Test (UAT) memperoleh nilai 87,78% dengan kategori Sangat Baik, sedangkan pengujian efisiensi waktu memperoleh nilai 91,67%. Selain itu, pengujian rekomendasi obat alternatif yang divalidasi oleh apoteker terhadap enam skenario pencarian obat menunjukkan seluruh rekomendasi dinyatakan sesuai, sehingga diperoleh tingkat keberhasilan rekomendasi sebesar 100%. Berdasarkan hasil penelitian, metode Content-Based Filtering yang menerapkan pembobotan TF-IDF dan perhitungan Cosine Similarity mampu menghasilkan rekomendasi obat alternatif yang relevan berdasarkan kesamaan kandungan dan indikasi obat. Sistem yang dikembangkan berhasil mengintegrasikan pengelolaan data obat, transaksi penjualan, pelaporan, dan rekomendasi obat alternatif dalam satu aplikasi serta dapat membantu petugas apotek memberikan rekomendasi obat alternatif ketika obat yang dicari tidak tersedia.

Item Type: Thesis (Undergraduate)
Uncontrolled Keywords: Dhurkari, R. K. (2022). MCDM methods: Practical difficulties and future directions for improvement. RAIRO - Operations Research, 56(4), 2221–2233. https://doi.org/10.1051/ro/2022060 Indriyani, T., Pradana, A. I., & Hartanti, D. (2025). Infotek : Jurnal Informatika dan Teknologi Penerapan Metode Content-Based Filtering Pada Sistem Rekomendasi Pemilihan Produk Obat Studi Kasus : Apotek Hero Farma Dalam sektor pelayanan farmasi , pemilihan produk obat yang sesuai adalah hal yang penting ,. Infotek, 8(2). https://doi.org/10.29408/jit.v8i2.30498 Infotek Oyadila, S., Abdullah, D., & Razi, A. (2025). IMPLEMENTASI CONTENT-BASED FILTERING DENGAN TF-IDF DAN COSINE SIMILARITY UNTUK SISTEM REKOMENDASI DESTINASI. RABIT : Jurnal Teknologi dan Sistem Informasi Univrab, 10(2), 1329–1339. https://doi.org/10.36341/rabit.v10i2.6532 Rachmaniar, A., Widayati, S., Rokoyah, K., Studi Manajemen Informatika, P., Studi Sistem Informasi, P., & Jakarta STI, S. (2025). SISTEM REKOMENDASI PRODUK E-COMMERCE MENGGUNAKAN COLLABORATIVE FILTERING DAN CONTENT-BASED FILTERING (E-Commerce Product Recommendation System Using Collaborative Filtering and Content-Based Filtering). Journal of Information System, Informatics and Computing Issue Period, 9(1), 40–54. https://doi.org/10.52362/jisicom.v9i1.1904 Rosidah, L., Dellia, P., Education, I., Program, S., Madura, U. T., Regency, B., Java, E., & Filtering, C. (2024). Library Book Recommendation System Using Content-Based Filtering. Iota, 04. https://doi.org/10.31763/iota.v4i1.693 Shambour, Q. Y., Al-Zyoud, M., Abu-Shareha, A. A., & Abualhaij, A. (2023). Medicine Recommender System Based on Semantic and Multi-Criteria Filtering. Interdisciplinary Journal of Information, Knowledge, and Management, 18, 435–457. https://doi.org/10.28945/5172 Sun, Y., Zhou, J., Ji, M., Pei, L., & Wang, Z. (2023). Development and Evaluation of Health Recommender Systems: Systematic Scoping Review and Evidence Mapping. Journal of Medical Internet Research, 25, 1–13. https://doi.org/10.2196/38184 Tantri Yanuar, A., Nur Aini, Z., Muhammad Samhan, A., Joko Supriyanto, D., & Muhammad Isa Al’Azzam, M. (2025). Implementasi Sistem Rekomendasi Dokter Berbasis Content- Based Filtering pada Layanan Konsultasi Kesehatan. Prosiding Seminar Nasional Teknologi Informasi dan Bisnis, 46–49. https://doi.org/10.47701/pey34t68 Zhang, Y., Li, X., & Chen, J. (2023). Content-Based Recommender Systems in Medical Applications: Improving Relevance and Efficiency. International Journal of Medical Informatics, 172, 105036. https://www.sciencedirect.com/science/article/pii/S138650562300036X Zomorodi, M., Zomorodi, A., Alibeik, M., & Shihab, E. (2023). RECOMED: A comprehensive pharmaceutical recommendation system. Artificial Intelligence in Medicine, 146, 102981. https://doi.org/10.1016/j.artmed.2024.102981 Dhurkari, R. K. (2022). MCDM methods: Practical difficulties and future directions for improvement. RAIRO - Operations Research, 56(4), 2221–2233. https://doi.org/10.1051/ro/2022060 Indriyani, T., Pradana, A. I., & Hartanti, D. (2025). Infotek : Jurnal Informatika dan Teknologi Penerapan Metode Content-Based Filtering Pada Sistem Rekomendasi Pemilihan Produk Obat Studi Kasus : Apotek Hero Farma Dalam sektor pelayanan farmasi , pemilihan produk obat yang sesuai adalah hal yang penting ,. Infotek, 8(2). https://doi.org/10.29408/jit.v8i2.30498 Infotek Oyadila, S., Abdullah, D., & Razi, A. (2025). IMPLEMENTASI CONTENT-BASED FILTERING DENGAN TF-IDF DAN COSINE SIMILARITY UNTUK SISTEM REKOMENDASI DESTINASI. RABIT : Jurnal Teknologi dan Sistem Informasi Univrab, 10(2), 1329–1339. https://doi.org/10.36341/rabit.v10i2.6532 Rachmaniar, A., Widayati, S., Rokoyah, K., Studi Manajemen Informatika, P., Studi Sistem Informasi, P., & Jakarta STI, S. (2025). SISTEM REKOMENDASI PRODUK E-COMMERCE MENGGUNAKAN COLLABORATIVE FILTERING DAN CONTENT-BASED FILTERING (E-Commerce Product Recommendation System Using Collaborative Filtering and Content-Based Filtering). Journal of Information System, Informatics and Computing Issue Period, 9(1), 40–54. https://doi.org/10.52362/jisicom.v9i1.1904 Rosidah, L., Dellia, P., Education, I., Program, S., Madura, U. T., Regency, B., Java, E., & Filtering, C. (2024). Library Book Recommendation System Using Content-Based Filtering. Iota, 04. https://doi.org/10.31763/iota.v4i1.693 Shambour, Q. Y., Al-Zyoud, M., Abu-Shareha, A. A., & Abualhaij, A. (2023). Medicine Recommender System Based on Semantic and Multi-Criteria Filtering. Interdisciplinary Journal of Information, Knowledge, and Management, 18, 435–457. https://doi.org/10.28945/5172 Sun, Y., Zhou, J., Ji, M., Pei, L., & Wang, Z. (2023). Development and Evaluation of Health Recommender Systems: Systematic Scoping Review and Evidence Mapping. Journal of Medical Internet Research, 25, 1–13. https://doi.org/10.2196/38184 Tantri Yanuar, A., Nur Aini, Z., Muhammad Samhan, A., Joko Supriyanto, D., & Muhammad Isa Al’Azzam, M. (2025). Implementasi Sistem Rekomendasi Dokter Berbasis Content- Based Filtering pada Layanan Konsultasi Kesehatan. Prosiding Seminar Nasional Teknologi Informasi dan Bisnis, 46–49. https://doi.org/10.47701/pey34t68 Zhang, Y., Li, X., & Chen, J. (2023). Content-Based Recommender Systems in Medical Applications: Improving Relevance and Efficiency. International Journal of Medical Informatics, 172, 105036. https://www.sciencedirect.com/science/article/pii/S138650562300036X Zomorodi, M., Zomorodi, A., Alibeik, M., & Shihab, E. (2023). RECOMED: A comprehensive pharmaceutical recommendation system. Artificial Intelligence in Medicine, 146, 102981. https://doi.org/10.1016/j.artmed.2024.102981 Sistem Apotek, Rekomendasi Obat Alternatif, Content-Based Filtering, TF-IDF, Cosine Similarity.
Subjects: 260 Medical science > 334 Other fields of dentistry not yet listed
410 Engineering science > 461 Information systems
410 Engineering science > 462 Information technology
Divisions: Fakultas Teknik dan Ilmu Komputer > S1-Teknik Informatika
Depositing User: Mochammad Atur Akbar Loredo Hariyanto Putra
Last Modified: 04 Aug 2026 13:02
URI: http://repository.unpkediri.ac.id/id/eprint/26182

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