Tesis 14240027_Nendi Sunendar

research
  • 18 Oct
  • 2026

Tesis 14240027_Nendi Sunendar

Perencanaan persediaan obat pada layanan kesehatan mitra BPJS masih bertumpu pada konsumsi historis dan estimasi petugas, sehingga belum mampu menangkap pola kebutuhan dinamis, musiman, dan nonlinear. Ketidakakuratan perencanaan berisiko menimbulkan stockout yang mengganggu pelayanan maupun overstock yang meningkatkan biaya penyimpanan dan risiko kedaluwarsa. Proses pengadaan memerlukan transparansi, integritas data, dan keterlacakan agar setiap tahapan Purchase Order dapat dipantau. Penelitian ini merancang dan mengevaluasi prototipe Purchase Order obat otomatis berbasis Artificial Intelligence dan blockchain. Tahapan penelitian meliputi prapemrosesan data, analisis outlier dan stasioneritas, feature engineering, studi ablasi, rolling time-series cross-validation, pemilihan model terbaik per obat, integrasi ABC–VEN, safety stock, reorder point, serta pencatatan transaksi pada Hyperledger Fabric melalui smart contract. Istilah otomatis mengacu pada eksekusi Purchase Order oleh chaincode setelah rekomendasi memenuhi aturan inventori dan memperoleh validasi serta persetujuan sesuai alur bisnis; transaksi kemudian dicatat pada blockchain dan diteruskan agar langsung diterima dan ditindaklanjuti vendor tanpa menghilangkan otorisasi pihak berwenang. Evaluasi terhadap 100 obat menggunakan tiga fold dan metrik MAE, RMSE, serta MAPE menunjukkan bahwa LightGBM konfigurasi LGB_LR001 memberikan performa terbaik dengan MAE 3,7825, RMSE 5,2104, dan MAPE 84,5532%. Tingginya MAPE dipengaruhi data sparse dan intermiten, dengan lebih dari 81% observasi bernilai nol, sehingga MAPE digunakan sebagai metrik pendukung bersama MAE dan RMSE. Model terbaik per obat menghasilkan prediksi 7, 21, dan 30 hari yang diintegrasikan dengan kebijakan inventori untuk membentuk rekomendasi pemesanan. Pengujian 6.400 transaksi pada beban 10–150 TPS mencapai keberhasilan 100%, throughput maksimum 149,85 TPS, dan latensi rata-rata 0,070 detik. Prototipe mendukung pengadaan yang terukur, transparan, terlacak, dan auditabel.

Unduhan

 

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